Datasets:

syannn

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spammer

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: Surprisingly delicious, if artery clogging. I ordered the chicken and waffle, dark meat smothered. Skin was crispy, meat was tender, and gravy and syrup is an unexpectedly wonderful combination. Mac 'n cheese was a little lumpy and congealed though, hence the minus one star. Next time I want to try the peach cobbler and sweet potato pie!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.175; Sentiment_Subjectivity (from 0 to 1): 0.575 [/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 here right when it opened for dinner, so no wait for a table. Yes! I was planning to get the Sunday Supper, but other things on the menu were calling to me, so I resisted. The supper that day, fyi, was cold asparagus soup, pork schnitzel, and raspberry cheesecake. My friend and I shared an order of the duck fat fries, which were delicious potato wedges fried in duck fat. Loved it, though the roasted bread appetizer other people were getting looked even more amazing. My main course was the squid and mussel ragout, a surprisingly filling dish. I'm usually not a big fan of mussels and beans separately, but together they created a very hearty flavor, and the toasted bread was perfect for dipping into the sauce. Dessert was my favorite course by far. Ordered the chocolate almond cake, which was this gooey, toffee sauce-laden dish that I adored. Scraped every crumb of it from my plate, and would definitely go back for it alone. 4.5 stars.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.310863095; Sentiment_Subjectivity (from 0 to 1): 0.607440476 [/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 moment I walked into this place I knew I was going to love it. Decorated like a Japanese courtyard yet with jazz piano filtering across the open space, the atmosphere is very welcoming and relaxing. Came for lunch on a weekend and there was no wait, though the place did get more crowded as I finished my meal. I don't know whether this is only for lunch or for dinner as well, but there was a miniature buffet of boiled eggs and pickled vegetables, which I found went splendidly with my salad (miso dressing, my favorite!). I ordered the first item on the lunch menu, the Gomoku Kamameshi, which takes 20 minutes to prepare. When it came, I was impressed by the depth of the pot. It looked really small in the picture, but it was tons of food especially for the price. I'll admit I think this dish was a little bland, but it was very satisfying and heathy. Service was extremely friendly, and I just got a sense of authenticity. I lived in Japan for a bit, and this place definitely reminded me of restaurants in Tokyo. Will absolutely be back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.240509259; Sentiment_Subjectivity (from 0 to 1): 0.609259259 [/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: Finally made it here to check out the Lamb Dip, which recently made New York Mag's best sandwiches list. I think I had too high expectations...the sandwich was definitely gamier than I expected, and a little too salty. The brioche complemented the meat nicely - it was toasted, and the bottom was a little soggy from the lamb. Appetizer was baba ganoush - also on the salty side, and pitas were fluffy but a bit tasteless, and sadly very crusty after they cooled. Pre-fixe for $18, which I'm not convinced is worth it. The portions were impressive, but I was still a bit disappointed by the overall meal. Service was very attentive.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.105075758; Sentiment_Subjectivity (from 0 to 1): 0.54969697 [/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 going to agree with the 4/5 star consensus. Went to Penelope on a cold Sunday morning around 11:30. The wait was quoted at 70 minutes, but we got in after 40. Tip: Wander around for 20 minutes or so, then come back to the restaurant. The people working in the front will take "role call" of who's actually waiting, and may bump you up on the list accordingly. I ordered the nutella french toast, and my friend ordered the pumpkin waffles. Her dish definitely won. My french toast was a little too chewy, and since the toasts were sliced bagettes, they weren't quite as impressive looking as four giant wedges of pumpkin waffle. Friend was kind enough to let me sample the waffles, and they were delicious! Definite pumpkin flavor topped with cranberries and perfected the rich syrup. The apple cider mimosa was yummy as well, a nice harvesty change from the regular orange juice and champagne.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.17421875; Sentiment_Subjectivity (from 0 to 1): 0.551682692 [/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: Group dinner prix-fixe = one mojito, one appetizer of skewered meats, one entree of pork belly + slab of garlicky yucca, and one bowl of black beans shared among four people = $85 with tax and tip. WTF? Mojito was way too minty, but the food itself was surprisingly good. Meat was tender and shrimps were juicy...the yucca was kinda inedible (order the fried yucca fries instead to get your fix), but I honestly cannot get over the feeling that I was massively ripped off. I might come back to check out the restaurant on my own, but do not plan a party here.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.176190476; Sentiment_Subjectivity (from 0 to 1): 0.704761905 [/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 still prefer Chipotle. Here's why: While the meat is incredibly well seasoned, tender, and delectable, combined with everything else it's too much. The rice is seasoned with this and that, the beans marinated and cooked with this + this + that, etc. etc. Keep it simple, keep it good. I'd like this place more if it focused solely on BBQ. Meat + bread or vegetables would be ideal. Beans, salsa, guac, corn, squash, etc. = trying too hard. If you do go, I'd recommend the brisket.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.378703704; Sentiment_Subjectivity (from 0 to 1): 0.510978836 [/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: Solid seafood place. Upstate's been on my list for a while, but it's pretty close to Caracas, which usually wins the dinner pick. We decided to check out Upstate last week for dinner on a weeknight. No wait at the bar -- we ordered the fettuccine and the bouillabaisse. Fettuccine is VERY garlicky, but it's a good dish with hearty portions and a generous helping of clams. I liked the bouillabaisse more. It's lighter than other versions I've had in the city. So light you don't even need the side of bread they give you. Lots of clams, scallops, and fish. I made the mistake of ASKING for the special whiskey cake. Apparently, it's on a "don't ask and you shall receive" basis. But they gave some to us anyway. Two thin slices of the best and only whiskey cake I've ever had. I'd come back for it alone. Verdict: Will probably still pick Caracas over Upstate, but Upstate's a good option to have.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.266596639; Sentiment_Subjectivity (from 0 to 1): 0.489005602 [/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 was totally empty when we came in for lunch (Lunch is only served on Fridays). Pretty good prix-fixe deal for $19. -- boyfriend ordered the chilled tomato basil soup of the day, which was probably the highlight of the meal, the chili shrimp with grits, and we got a rum-caramel ice cream for dessert. I had the pork sandwich. Large portions, Southern flavors, and reasonably well-priced. I'll have to come back for brunch.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.158035714; Sentiment_Subjectivity (from 0 to 1): 0.516071429 [/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: Happy Hour until 10 on Sundays and Mondays = best happy hour in the city. $5 for Southeast-Asian sangrias and lychee martinis = amazingness. Especially since the former had a juicy lychee, and the latter had TWO. Not too crowded in the mid-evening, and drinks are delicious. Do come.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.514285714; Sentiment_Subjectivity (from 0 to 1): 0.614285714 [/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 never had a full bowl of risotto alone as a meal before, so why not go to a place called Risott-eria for my first time? I think I made a good choice, though I'm not sure if I'll be able to repeat the experience again. My friend fell in love with the breadsticks -- she liked them far more than I did. While they were delicious, I thought they were a little too greasy for me, and I wanted to save my appetite for the main course. Ordered the 3-mushroom risotto. Delicious flavor, and not too heavy with cream and butter. About half way through though, I started lagging and really just wanted to eat something else. I wish they served half-size portions...so mixing and sharing would be easier.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.31640625; Sentiment_Subjectivity (from 0 to 1): 0.599826389 [/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 wet towel they give you in the beginning of the meal is cold and smells oddly of clorox. That, along with the tremendous wait even on a weekday and their ridiculous reservations policy, brings this place down a notch. Food is good though. For the slightly more adventurous, I highly recommend the Takana & Jyako Gohan, which is takana greens & deep-fried tiny silver fish over rice. The Mizore Gake (deep-fried eggplant with mochi) was also HUGE, rich, and delicious. Yakitori-wise, our favorite was the chicken-stuffed bellpeppers. Try to sit at the counter if you can!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.215851852; Sentiment_Subjectivity (from 0 to 1): 0.708592593 [/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: 3.5 stars, but probably because I ordered the wrong dish (chicken hash, which was basically chicken pieces, onions, and home-fried potatoes). My fiance ordered the shrimp and grits, and he loved it...so I'd probably recommend that. Prices were great -- $10-13 for brunch dishes, cocktails about $10 each. The hot sauce is not to be missed and is sold for $6 in-house. We were trying to eat at Northern Spy or Westville nearby, but the waits were too long, so snagged a table around 1:30 at Brindle Room without a wait. Recommended particularly your favorite East Village brunch spot is too busy.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.076666667; Sentiment_Subjectivity (from 0 to 1): 0.723333333 [/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 paninis and desserts are the best items on the menu. The bread for the panini is an unusual, crispy sort that has a great crunch. Ingredients in the sandwiches are light, balanced, and filling. And only $5. The pasta I tried was the orecchiette. It was also good, but a bit salty and heavy for me, and the pasta didn't have that al dente chewiness that I love. The spicy bean sausage appetizer was also too salty...but it went well with the bread. Stick with the panini, though I highly recommend the brioche with nutella for dessert.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.395555556; Sentiment_Subjectivity (from 0 to 1): 0.665555556 [/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 of my friends in LA have raved about this place, so I was excited to try it when it finally arrived in NYC this week. First thoughts: -Impressive beer and wine list, and LOTS of cocktails ($12 average) -Burgers are VERY rare. The waitress warned us they were served medium rare, but our burgers leaned closer to rare. Tasty, but I might opt for medium next time. -Quality is important. Our burgers were half off because the chef deemed the buns "too small" that day and wanted to keep the burger qualities optimal. Not sure if this was a ploy since the buns didn't seem that much smaller than normal, but who can complain? -Service is very friendly. Everyone seems happy to be working here. -My burger was good, but it didn't blow my mind. I had the original, and it was very delicate and not too heavy on the flavors. Might try the truffle or the hatch (green chiles) next time. -Truffle fries were very skinny. A little too rich for me with the triffles...I think I also just prefer thicker fries. Other: Secret menu item: cheesy tater tots. They're not that cheesy though, which was a disappointment. Also a bit pricey 6 for $5. 3.5 stars; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.083854167; Sentiment_Subjectivity (from 0 to 1): 0.631684028 [/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 this place. New location is spiffier than the original, but the taste is still the same. First time I went I was skeptical that my banh mi was handed to me literally 5 seconds after I ordered, but it was still warm and fresh, the bread toasty and the meat generous, so can't complain. One of the rare places that meets the trifecta of cheap, fast, and good. And a closer alternative to Ba Xuyen.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.271780303; Sentiment_Subjectivity (from 0 to 1): 0.555239899 [/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: FINALLY can check this place off my list. Excellent burgers, better than Burger Joint in my opinion. No frills, menu is posted on the wall, good selection of beers, and lots of power outlets behind the seat. ATM in the house, since it's cash only. Got the cheeseburger, medium, and it was delicious. Everything = tomatoes, onions. Bacon is extra. There's no mushrooms.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.35; 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: Been here twice, once for brunch and once for lunch, and while it's a nice place, both times I found the staff to be snooty. I asked one of the girls for my check, and she told me I had to ask my server. Not in a nice way--in a "I'm not your server" irritated-sort-of way. I was not impressed. Foodwise, I wasn't impressed either. The oxtail ragu was tasty, yes, but the strips of oxtail were so miniscule and so few that it tasted more like rigatoni with red sauce and some meat. For brunch I had the green eggs and polenta dish. Beautiful to look at, but the eggs were watery, and I was overwhelmed by the amount of salsa compared to actual food -- I felt more like I was eating a tomato salad with some green eggs and polenta. Three times might be the charm, but I think twice was enough.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.226923077; Sentiment_Subjectivity (from 0 to 1): 0.561538462 [/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 here three times for brunch now. The food has actually improved since moving to the Excelsior Hotel -- the first two times I went my meals were uninspiring. As everyone says, the highlight of brunch is the sangria bar. Some changes with the move: the sangria bar is no longer self-serve, so you have to ask your waiter for the drinks. This change helps mitigate the chaos which would otherwise erupt in the restaurant, but it'd be helpful to leave a sangria menu at the table so we don't have to memorize the different options. Another tip: NEVER order the side of avocado. It's basically 6-8 slices of fresh avocado, served on a plate. It's really not worth it, and every time I see people order it I cringe. The chipotle chicken quesadilla is a solid choice, and it probably has more avocado in the guacamole than the avocado side. The tortilla espanola is a healthier choice. The tortilla itself is the size of a pie slice, but the eggs + potato go nicely with the sauce -- didn't taste much crab though.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.11; Sentiment_Subjectivity (from 0 to 1): 0.438333333 [/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: Three stars for the hip, trendy atmosphere. One star for the food. Solid, and good, but meager portions. One star for the service. Attentive, friendly, and Irrashaimase-yelling. Minus one star for the LONG LONG LONG wait. Waited two hours once for a table of three, and ended up sharing that table with other people. Don't mind the communal style so much, just thought I would point it out. Minus one star for the prices. $15 for a bowl of ramen, and I was still hungry afterwards. And it really doesn't take much to fill me up... Also the spoons are really large and kind of awkward to use. I usually try to sip from it daintily, but on most occasions I fail.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.112012987; Sentiment_Subjectivity (from 0 to 1): 0.488798701 [/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 and simple Greek restaurant with some original items on menu. Food was good, not great and a tad over-priced. Seriously, $16 for some hummus and pita?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.013095238; Sentiment_Subjectivity (from 0 to 1): 0.503401361 [/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 is a little claustrophobic but the food is worth it. Got the gnocchi with the lamb ragu and the fish tacos Several glasses of good pino Not huge on desserts but the date pudding was redonkulous $82 before tip Would definitely go back. 5 stars if the seating and table set up were a little more comfortable. Almost tipped it over trying to sit down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.038131313; Sentiment_Subjectivity (from 0 to 1): 0.448989899 [/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: Happening hipster joint with high quality food. Great beer and app selection. your choice of entre: Five Leaves burger or a regular burger. that's it! the oysters were phenomenal and so was the grass-fed burger with fried pineapple, beats and an fried egg on top. Tip: substitute for the truffle fries. no ketchup necessary. $35+tip to split a 22oz local bkln lager, five leaves burger w/ truffle fries and 6 oysters ($15). not bad. I'd go back when it's a little warmer outside.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.192954545; Sentiment_Subjectivity (from 0 to 1): 0.416689977 [/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: Pork dumplings + peking duck sandwich + water $5.25! know what you want before you get to the counter to order; Max_Daily_Reviews: 1; 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: Brunch: Fresh squeezed oj, ice coffee, quiche, sausage and eggs and an upside down chocolate banana cake with coconut sorbe to top it off. $36 Verdict: I'd def go back despite the mildly ghetto neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.195555556; Sentiment_Subjectivity (from 0 to 1): 0.357777778 [/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: Gourmet fried chicken 2 drinks and 2 entrees = $36 w/o tip would def go back; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.3; 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: 4 stars for food 1 star for the service but nothing says 'sorry' like 4 free desserts! if you come here, you must get the octopus salad; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; 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: oh my god.  i literally just finished the vegetarian moussaka two minutes ago and i can say without a doubt that this is one of the best lunches i've had in a long time.   ordered takeout so can't comment on the dining experience but i will definitely be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316666667; Sentiment_Subjectivity (from 0 to 1): 0.233333333 [/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 lovely little find! Super cutesy little precious jewelry box of a restaurant. I came here for lunch on my own and found it empty, save for one other patron. There are only about five or six tiny little tables, so I imagine it would be tough were it crowded, but it's the perfect spot to dine alone. I ordered the pastitsio without really knowing what it was and HOLY CRAP. It's a beefy, macaroni-y, béchamel-y pie of goodness in your belly. The server was sweet and chill and they serve Boylan's sodas. I will be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.09222608; Sentiment_Subjectivity (from 0 to 1): 0.648611111 [/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 friends took me here saying that they had found a place better than Lombardi's. I'm obseeeeeessed with Lombardi's, and with pizza in general lately, so I welcomed the challenger with open arms. We decided on the meatball pizza and started with a caprese and a caesar salad. The tomatoes and mozzarella were huge and pletiful and fresh and tasted great with a splash of balsamic vinegar. I know it seems so silly and simple, but it's easy to make a crappy and unsatisfying caesar salad and this one was the opposite. It was delicious and had the perfect amount of dressing. Our pizza was definitely good. Huge leaves of basil and thick slices of meatball and toasty crust. I personally wouldn't go so far as to say it was better than Lombardi's, but it definitely didn't disappoint. I should also point out that our server was incredibly sweet and attentive and personable. A great local pizza joint.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.276388889; Sentiment_Subjectivity (from 0 to 1): 0.620436508 [/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 Otheroom is dark and intimate, all deeply colored woods and candlelight and beautiful people. A chalkboard will tell you all their wine and beer offerings and the amiable bartender with pour them with a winking gruffness. I felt a little meh about paying over $30 for two glasses of wine, but I'm a cheap ass. The Otheroom is the perfect place to imbibe and get a little too close and sassy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240625; Sentiment_Subjectivity (from 0 to 1): 0.6375 [/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 never had anything but a lovely time here. I realized during my most recent visit that I hadn't even written a review yet because I hadn't been since pre-yelp. (I know...I don't remember what that's like, either.) Vesta is the ultimate Astoria treasure. Inviting and cozy in a serious way, wine bottles line the exposed brick walls, and candles light every table. The wine selection isn't crazy big, but it's diverse and a few of them are even on tap! I find that amusing and novel, so I usually stick to those. In the past, I've had a pork chop, a pizza, and some pasta, and all were outstanding. This time, I went against my rule and ordered the lasagna. My mama's lasagna happens to be my favorite meal of all time, so I tend to just avoid all others as they're set up to fail. It kept jumping out at me from the menu, though, and I relented. Ultimately, I'm glad I did. It wasn't quite as remarkable as my mama's (for shame!), but it was cheesy, ooey, and gooey. In my not-so-humble opinion, the real reason to visit Vesta is the Baby Jesus cake. The first time I was here was for one of my best friend's birthday and when our server started rattling off a verbal dessert menu, we stopped him dead when he mentioned Baby Jesus cake. No need to hear anything else. It's AMAZING. The cake part resembles a banana bread to me, without the banana, and it's covered with a freshly-made caramel sauce of sorts and served with housemade whipped cream. Out. Of. This. World. While waiting for it to come to the table, we had all debated over whether he had in fact said "Baby Jesus cake" or perhaps just a small "baby cheesecake." The bill settled the matter, and after tasting it, we all knew there was really no other moniker that would do. Do yourself a favor and stop by Vesta, and sweet baby Jesus, get yourself a plate of Baby Jesus cake.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132098765; Sentiment_Subjectivity (from 0 to 1): 0.585185185 [/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 think I might have had the best French Toast of my life at Jane. Grand statement, I know, but I've been letting the thought stew for a few weeks now, and I just can't escape it. Our whole experience on Labor Day was beyond pleasant. They were serving their brunch menu and we had made a reservation, so we didn't have to wait at all. Coffee was better than average and my Bloody Mary was delish. But then came my French Toast. I just...I don't even...I'm not sure what to say. Let's start with it was HUGE. Three gigantic, thick slices of challah. But what really got me was the texture. It was so eggy and creamy and milky and smooth and sweet without being too sweet. I could barely make it through a slice and a half, and I was PISSED that I couldn't find room in my tummy for the rest. Just outstanding. Highly recommended!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.167460317; Sentiment_Subjectivity (from 0 to 1): 0.500582011 [/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: All I can say is, just believe the hype. Wake up, plan on waiting a while, and then settle in, unbutton your pants, and get ready for some magic in your mouth. My man took me here for my birthday breakfast and I think I ate everything on my plate. Like, all of it. I was sick, but I couldn't stop. The entire menu looks phenomenal, but I had to try the pancakes because that's what everyone raves about. I got the blueberry and a side of sugar cured bacon, OBVIOUSLY. I smothered the whole plate in warm maple butter and devoured every morsel. Incredible flavor, texture, the whole nine yards. Ugh. Now I'm drooling.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.238571429; Sentiment_Subjectivity (from 0 to 1): 0.628214286 [/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 had a really wonderful time here for my birthday dinner. I told my best friend and my man that I just wanted somewhere kinda warm and dark, where I could have a big bowl of pasta and a big bowl of wine and Supper came through. Our server was quick and attentive and just a super nice guy. Things got moving quickly with cocktails and that fabulous white bean stuff that comes with the bread everyone keeps talking about. At the table: lasagna alla bolognese, the priest stranglers, tagliatelle, and chicken cutlet alla parmigiana. Soooo many happy food dances and satisfied moans. (I'm sorry. I can't believe I just wrote "satisfied moans.") I happen to think my mother's lasagna is the best thing on the planet, but whoa buddy, Supper's is good. Just fabulously cheesy and creamy and tasty. My BFF ordered the priest stranglers (pasta described to us by our server as "like little joints") and really enjoyed it. And I stole enough bites of everyone else's meals to assure you they were also delicious. :) My latte after dinner came with a cute art in the milk foam and my tiramisu had a candle and I was happy as could be. I just loved it there, loved seeing the cooks do their thing, loved being squeezed into the little wooden booth with my loves, loved eating all those carbs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.370714286; Sentiment_Subjectivity (from 0 to 1): 0.68047619 [/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 review is based purely on delivery. I've never actually dined in at Sanford's, but I might have to change that soon. Their tomato soup is probably the best I've ever had. It's impossibly packed with flavor. The pulled pork sandwich isn't award-winning, but way better than I would have expected. The grilled chicken avocado club is delish and you can easily get two to three meals out of it. I'm all about their fresh orchard juices and the side of tortilla strips and cajun aioli dip. The delivery is always faster than the quoted time and the food shows up un-mangled. Go, Sanford's, go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.12010582; Sentiment_Subjectivity (from 0 to 1): 0.564814815 [/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 first thing you need to know about Sugar Freak is that they make a kick ass Bloody Mary. If you're like me, that'll be all you need to know, for the rest of you, I'll delve a little further. This place is stinking cute. WAY cute. Distressed painted furniture and patchwork pillows in the booths and kitschy little delights tucked into every nook and cranny. I had a borderline obsession with the pig-shaped creamer at our table. I ordered the pork debris and eggs because it sounded similar to biscuits and gravy and when there's anything even remotely comparable to biscuits and gravy on the menu, I absolutely have to have it. My plate came stocked with perfectly crisped potatoes and a couple fried eggs topped with the most delicious slop. It was almost southwest tasting to me, shredded pork with a kind of green chile flavor. I loved it. Loved loved it. And I really loved the Bloody Mary. And the $10 unlimited brunch drink deal. And I will be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.241666667; Sentiment_Subjectivity (from 0 to 1): 0.668253968 [/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: Try the Modelo's with everything. It will change your cheap-and-easy beer life. Try the spicy cherry margarita. It will blow your face off with spicy goodness. Try the blueberry pancakes at brunch. Classic and sooo delish. Try the bartenders. Yum.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.166666667 [/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: Shame on me for living a mere three blocks away from The Queens Kickshaw and taking this damn long to partake in its deliciousness! My roommate and I stopped in for dinner the other night for what I'm sure will be the first of many many times. We both had a particularly difficult time deciding what to order because the whole menu is so droolworthy. I started with an iced latte so creamy and dreamy it didn't need even the smallest pinch of sugar. My curious companion opted for one of their vinegar cordials, best described to us as along the same lines as kombucha tea. It was unique and bubbly and refreshing. Now on to the good stuff! Roomie went for the egg and cheese and sweet holy moly was it delish. Ricotta and gruyere make love with a breakfasty sweetness coming from a dash of maple syrup and a happy belly is born. The gouda lured me in with the promise of guava jam and pickled jalapenos getting down in perfect sweet and spicy harmony. These sandwiches a truly top notch...they're grilled to a perfect crispy crunch, the bread tastes out of this world. On top of all that, the service is jovial and the atmosphere warm and relaxed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.354277778; Sentiment_Subjectivity (from 0 to 1): 0.628444444 [/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 first time I went to La Lanterna, it was on a blind date with the man I've now been dating for almost a year. La Lanterna was his choice, and his points started racking up there. We shared a bottle of wine (a delicious malbec) upstairs and talked, without being rushed, for quite sometime before paying and moving downstairs. There, we paid a minimal cover to hear a really great jazz quartet. More wine, great music, tight quarters - which I suppose some might view as a con, but when you're on a date with a cute guy, it doesn't hurt to squeeze in tight. :) We went back again a few months later with some friends and were able to dine in the garden. We had several different pizzas, all delicious, and the meal was only enhanced by the lovely environment and lighting and quiet, efficient service. Maybe I'm biased with my girly, sentimental attachment to the place, but I absolutely recommend giving La Lanterna a try...especially with someone special.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.229166667; Sentiment_Subjectivity (from 0 to 1): 0.58546627 [/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 am ALL OVER this place. My gay boyfriend chose this as the spot to celebrate his 26th birthday and it was perfection. He was told they don't accept reservations after 5 and we were going to have a group of nine, so he told everyone to get there at 7:30 while we arrived at 7 to scope everything out. This was a-okay by me because their Happy Hour(s) stretches from 1 to 8!!! We shared a half pitcher of red sangria for $19 and were able to get four full glasses out of it. It was packed with flavor and more liberally stuffed with booze than any other sangria I've ever had. Service at the bar was super efficient despite that fact that the place was already hopping. By 7:30, seven out of the nine guests had arrived and since they happened to have a table available, they graciously sat our incomplete party. We promptly had waters on the table and immediately requested two orders of their guacasalsa. They were devoured INSTANTLY - we all especially loved the guac (there was also pico de gallo) and the chips, which were a mixture of tortilla and different roots like malanga. I was starving and couldn't decide if I wanted two or three tapas. I settled on the arepa con carne and the taquitos de cameron. With all the sangria and the guac and the munching from everyone else's plates, I couldn't even finish my two small plates! Everything tasted so delicious. It would take forever to describe everything at the table, but suffice it to say that no one was disappointed in a thing. The yuca fries and the accompanying magic condiment are stand out, as are the sweet plantains. Everyone slowly started slumping over, clutching their bellies, and someone summed it up by saying, "It feels like we just had a Thanksgiving feast." We split the bill evenly and for nine people to stuff themselves silly, it only set us back $36 a piece. INCLUDING a generous tip! I can't wait for my next visit!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.182427536; Sentiment_Subjectivity (from 0 to 1): 0.574275362 [/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: Oh. My. God. I wanna eat this ALL THE TIME. My man and I split a tray of brisket, pork belly, short ribs, and pulled pork. It was my first time trying pork belly, so I have nothing to compare it to, but I'm a new fan. The rub on the ribs was fabulous. I kept licking it. The beans might have been the best I've ever had. And the sauces were delightfully tomatoey and spicy. My one complaint? No corn bread! :(; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.207670455; Sentiment_Subjectivity (from 0 to 1): 0.573484848 [/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 knew the second I read all these fabulous reviews that I had to check out Cafe Habana. Believe the hype, amigos, this place is ridiculous. The space is tiny and cramped, but it's cute and bright, a little paradise on Prince. Yelp warned of long lines, but they kept things moving pretty fast and my man and I only waited maybe ten minutes. I started off fast with a strawberry mimosa (pulpy and delightful!) and an order of the corn. HOLY SHIT. I could eat seven ears of this corn and keep on going. Grilled and covered with butter, cheese, lime, and chili powder, this isn't your ordinary backyard corn on the cob. I got the huevos con chorizo, which didn't disappoint. Chorizo has such a smoky, distinctive flavors, and it was paired with some out-of-this-world black beans. The star of the show is definitely the corn, but you're guaranteed to enjoy the whole meal!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.129166667; Sentiment_Subjectivity (from 0 to 1): 0.620634921 [/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 is there to say that hasn't been said before? The folks at Lombardi's know what's up. The sauce is out of this world for me. I feel like it's the most magical blend of spicy and sweet. My boyfriend and I shared a pie with sausage and pancetta and it was perfection, right on down to the bits of basil on top. We've been there a few times, just the two of us, and have never had to wait. It might be easier to go with a smaller party. Either way, phenomenal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25335097; Sentiment_Subjectivity (from 0 to 1): 0.508289242 [/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 Halal Guys gave me my first ever taste of street food and I am now officially hooked. On their cart, at least. It really is as good as the bajillion reviews have made abundantly clear. It's crazy...looking at it, you can't help but notice that it's absolutely nothing special. It shouldn't taste as good as it does, but it defies all presumption by knocking your socks off. I got the chicken platter and got two very filling meals out of it for just $6. The white sauce is divine, and the hot sauce is as well. But beware! When they say it's hot, they mean HOT. Even if you like spice, take it easy, trust me. My Latin boyfriend squeezed it all over his platter and I thought his mouth would explode.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.169365079; Sentiment_Subjectivity (from 0 to 1): 0.607261905 [/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: L&B has spumoni and Silician pies down to a science. After a long, hot day at Coney Island, a group of us head to L&B's to refuel. We sat inside (so mother freaking hot and sweaty out there), and while we had to wait a while for someone to come to the table, the guy who finally did was awesome. Like, just a really good guy. I would be friends with him. So friendly and conscientious. Love that. He got us going with pitchers of ice water and huge baskets of bread and SO much soft butter. I HATE hard as rock butter that destroys and mangles my bread and this place seems to know what's up. We got a caesar salad and 1/2 Sicilian pie with pepperoni. There were four of us and the 1/2 pie was plenty. I've heard the whole pie is the size of a football field or something. The dressing on the caesar was really good, but there was a little too much of it...something you'll rarely hear me complaining about. The pie was good, really good, with a unique almost lasagna-like sauce. It just proved to me, though, that I really am more of a thin-crust person. Not L&B's fault. I got a cup of mint chocolate chip ice cream (had to...it's my fave and I was coming off a looooong diet) and we got this huge volcano of a dessert whose name I can't remember. The bottom is a ball of chocolate and vanilla ice cream with a hard chocolate shell and it's piled high with decadent spumoni. I think there was also some kind of raspberry sauce and whipped cream. Ridiculous, you guys. Just out of this world. Best part? The tab for four of us stuffing ourselves silly? $50. HEY-O!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.218059148; Sentiment_Subjectivity (from 0 to 1): 0.659904215 [/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 man and I so enjoyed our meal here last weekend, that when asked to pick a brunch spot on Saturday, this was immediately our first choice. Last weekend, we came here for dinner after a little searching on yelp. He looooves sandwiches of all kinds so I already had a hunch Il Bambino would be a hit. I was instantly charmed by their sweet outdoor area. He chose a beer to start, a Coloradan IPA that I can't remember the name of. He enjoyed it, and even I did, though I don't typically love IPAs. They carry GUS sodas, which I love, and the cranberry lime was super refreshing. We started with the baby artichoke tapa, served with goat cheese and roasted red pepper and it was soooo good. I'm finding myself more and more obsessed with goat cheese and all these flavors blended together so perfectly. We chose both the Porchetta and Smoked Bacon panini and went halvies. The porchetta has a spicy pickle slaw and a rosemary aioli and was delish. The pickle slaw gave it a bit of a kick and called to mind the flavors of a Cubano. Yum yum yum. The smoked bacon was also stuffed with garlic roasted potatoes, truffle aioli, and parmesan. God knows I'm a sucker for anything with bacon and/or truffle and this panini was stupid good. We left full with big smiles on our faces. Brunch this weekend solidified Il Bambino's spot in our permanent Astoria restaurant rotation. At the table: The Piggy Sue Senor T Bacon Butty Weekend Debris Special For your sake, sweet reader, I'll forgo the long descriptions, but suffice it to say that the table was a chorus of oh my gods and yums and this is so goods. Also worth noting is the magic deliciousness of my iced mocha. Everything was just so on point. Make your next meal a panini at Il Bambino. Don't argue.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22843254; Sentiment_Subjectivity (from 0 to 1): 0.530714286 [/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 some damn fine pizza. Whoa buddy. First piece of advice: get here early. This place fills fast and a half hour after they opened, there was already an hour long wait. Luckily, Paulie Gee's is located in Greenpoint right by the water, and the man and I took a nice walk and were able to catch the sunset (awww) while waiting for them to open. We decided on the Hellboy (highly recommended by, well, everyone) and the In Ricotta da Vita (because I'm a big supporter of anything with sausage and dollops of ricotta). The Hellboy was predictably awesome. Sopressata Piccante pairs with Mike's Hot Honey and tastebuds rejoice. Spicy, salty, AND sweet. Amahzing. In Ricotta da Vita played second fiddle to the magical Hellboy, but was definitely a solid pie. My only wish is that it had just a bit less arugula - it's such a strong flavor and at times it overwhelmed the rest of the players. All in all, I highly recommend Paulie Gee's for a happy tummy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.244450549; Sentiment_Subjectivity (from 0 to 1): 0.568232601 [/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 can't think of a single negative thing to say about SriPraPhai except that I can't really pronounce it without getting tongue tied. I had been hearing about this place for a long time and when my boyfriend's best friend's Thai girlfriend said this was her favorite restaurant, I knew we had to go. The interior is unassuming and not so special, but the garden is really lovely. Not fancy, but nice and clean and filled with pretty potted flowers. We started off right away with Thai iced tea and it was delightful. My favorite Thai dishes are noodles and the sublime trifecta for me is Pad Thai, Pad Se Ew, and Drunken Noodles. I was craving a little spice, so I went with Drunken Noodles and now I'm not sure I'll ever be able to order anything else from there ever again. The quality was so totally and completely superior to every other place I've been to. Every single noodle was hit with sauce - there was none of that clumping, where gigantic masses of noodles come apart and are completely bare inside. The flavor was out of the world and the chicken was delicious. I forget what my man ordered, but it was also a noodle dish and it has squid and he loved it when he loaded it all up with hot sauce. Based on all the yelp recommendations, we also went for a side of coconut rice and it's even better than everyone says it is. SO surprisingly yummy and packed with a sweet, milky flavor. Cash only, so hit the ATM and come make your tummy happy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.307942708; Sentiment_Subjectivity (from 0 to 1): 0.674206349 [/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: After Cuba helped me pull off my best friend's surprise birthday dinner, I'm upgrading them to a full five stars. It. Was. FABULOUS. Ana helped me start planning about a month ago and emailed me all the information for prix-fixe parties. I decided that wouldn't be the best bet for our group and asked if there was any way to work around it with a party our size and she was as accommodating as possible. She said it was cool as long as it was late, which worked better for us anyway. The week finally came and I called to confirm and make sure that they would seat the incomplete party as my roommate and I would be arriving about fifteen minutes later. Turns out, they had every minute detail in the computer and all the staff seemed well-versed. We arrived and I told the hostess I had a reservation under Megan. She asked how many and I told her two with a little wink. She gave a subtle nod, went to check on the table, and led us back. They had us tucked in a little room behind the bar, she pulled back the curtains, and SURPRISE!!!! IT WAS SO PERFECT!!! Everything that followed was amazing - the sangria kept on coming, they recommended a fabulous appetizer sampler, the service was unassuming and fast and friendly, the food was phenomenal as usual, the birthday flan had my friend's name on the plate,  the bill was handled without a hitch, and I couldn't be happier with the entire experience. THANK YOU, CUBA!!! :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.230952381; Sentiment_Subjectivity (from 0 to 1): 0.580853175 [/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 man and I had a super delicious pie here on Memorial Day. I've been looking forward to trying Juliana's since I first read about all the drama in a NY Mag feature last year. I'm a Lombardi's devotee (it's the sauce!), but Juliana's makes some damn good pizza. We got the large marinara and topped it with pepperoni, roasted peppers, and scamorza cheese. I'd never had nor heard of scamorza, but it was smoky and delightful. They're liberal with the toppings, which I appreciate, but I could have gone with a slightly crispier crust. The BEST part for me, though, was the Brookie Bridge we got for dessert. It's an ice cream sandwich, you guys, but instead of just plain old cookies doing the sandwiching, it's this magical cross between a cookie and a brownie. Brookie. We went with raspberry ice cream. Perfection. Other highlights: ...the super garlicky croutons on the caesar salad ...Sixpoint Sweet Action Ale! ...a much shorter line than Grimaldi's next door ...a much more pleasant man managing said line; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325396825; Sentiment_Subjectivity (from 0 to 1): 0.45606576 [/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: Solid new addition to the 30th Avenue strip of restaurants. My gay boyfriend and I stopped in on Sunday to celebrate our Christmas mid-January, like usual. (I like to say we just enjoy making the holidays last, but really I'm just broke as a joke and need to spread my gift giving among paychecks.) As soon as I mentioned a new BBQ spot had opened up, he was all in. He likened the interior to a gigantic cutting board; the wood panelling travels up the walls from the floor and straight onto the ceiling. It gives it a nice, cozy, woodsy feel. His actual boyfriend and my not-actual wifey wound up tagging along, so we had to wait a moment for a table, but the staff was speedy. We were sat right next to the fridge showcasing all their cuts of meat from the butcher and they looked GOOD. We all started fantasizing about the stews and steaks we wanted to make. (Except my wife...she'll just bring the wine.) Based on other yelpers' reviews, I was planning on trying the burnt ends sandwich, but was distracted by the ribs, as usual. I kinda wish I had stuck with my original plan. They were good, don't get me wrong, but not outstanding. Their sauces were really great, though - original and sweet and spicy. I was deeeefinitely into my mac and cheese and my corncake and pickle, too. Gay bf's bf got the burger that's a succulent blend of brisket AND bacon and was thoroughly pleased. He kept getting surprised by little bursts of bacon and I was pretty jealous. Also: my ginger ale was outstanding. Like, seriously the BEST ginger ale I've ever had. Free refills on their natural sodas! Service is hit or miss - we had two girls that seemed to share the table and one was super friendly and bubbly and cute, while the other seemed bored with everything. I'll definitely be back - gotta get me some burnt ends!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.167177436; Sentiment_Subjectivity (from 0 to 1): 0.569791997 [/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 roommate and I stopped in after seeing the great yelp reviews, but upon further investigation...that might just be for their gluten free options. Roomie had the Capellini Calamari and was less-than-pleased. The calamari was chewy and the sauce lacked the kick the menu promised. I had the Cavatelli con Salsicca and it was just...bland. The peppers were delicious, but everything else was meh. Based upon all these other yelpers, I would say give it a shot if you have a gluten intolerance, otherwise, don't bother!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.40875; Sentiment_Subjectivity (from 0 to 1): 0.685 [/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: How did I not know about this place?! This place is one of the cutest places ever. It's a small place with about 5 tables so get there early if there are more of 2 people in your party. We arrived around 9 so it was pretty busy but we hung out and had some drinks while we waited. The food is so fresh and delicious. We ordered a bunch of plates to share including the tzatziki (wow), lemon potatoes, herring (amazing), greek salad and greens. It was all completely delicious. The guys that work there are high on life which completes the dining experience as I really didn't want to leave. I will definitely be returning to this little wonder.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.258166667; Sentiment_Subjectivity (from 0 to 1): 0.576 [/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. When you enter this place, it's almost like going to some lavish far away land where everything is white, surrounded by candles and everyone living there lives happily ever after. Yes, it feels very homely and the decor is exquisite but the food is pretty amazing to match. We ordered the crab toast  and mozzarella with figs which was amazing and then I ordered the lobster as a main. Both were just heavenly. The service, atmosphere and food were all flawless. I'd definitely recommend this place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.401388889; Sentiment_Subjectivity (from 0 to 1): 0.744444444 [/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 a real nice addition to the neighborhood both for drinks and dinner. The servers are lovely and friendly and it's so laid-back inside. The deviled eggs are pretty good and go down well with a good glass of red on a Friday night sat at the booth. Lovely.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.41882716; Sentiment_Subjectivity (from 0 to 1): 0.609876543 [/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: Perfect place to go for a little knitting session and cup of hot chocolate. The Italian owner is such a smiley, friendly character who designs and writes the wine menus on the back of an air mail envelope. It's the small touches like this that make me fall in love with cafes and restaurants and this place is no exception. It has a huge space with book shelves covering one wall and a grand piano in the corner of the room. We ordered hot chocolates and toast with cheese and anchovies. It's such a cute place, I could have stayed all day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.238392857; Sentiment_Subjectivity (from 0 to 1): 0.614285714 [/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.l.o.v.e.t.o.m.s!!! This place is the cutest thing in Prospect Heights and the staff are some of the nicest people around. I love going in the winter as when the line gets long, the waiters hand out orange quarters, coffee and pieces of sausage. How nice is that?! The menu is typical diner heaven but try and get a booth as these are the best. I love their eggs and homefries and the milkshakes are delicious too. Since I moved from the P.Heights, I really miss going here for brunch. This is one of the best things about the neighborhood.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.525925926; Sentiment_Subjectivity (from 0 to 1): 0.544444444 [/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: YUM! Don't be put off by the line as this place is definitely worth the wait. The artichoke pizza is pretty incredible - the crust is just the right thickness and burnt in the right places, it has the right amount of topping and is the perfect temperature - not scolding hot enough where it burns the roof of your mouth. The sicilian slice is also a good combo with the artichoke. Go crazy and mix it up and down both slices with a gulp of boylan soda. Perfect.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.346275946; Sentiment_Subjectivity (from 0 to 1): 0.672771673 [/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 cute place with good vibe and friendly bartenders. Only tip would be to bring back the sausage rolls!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.315; 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: I was really looking forward to going to Momofuku as love David Chang, had read all the reviews and had really high expectations so I was disappointed when the food was just okay. It really didn't blow me away at all. The menu is really about meat so it attracts lots of burly men who clash their beer glasses and grunt when they say cheers. Don't get me wrong, it's not an awful place but to me, a restaurant is not just about the food, it's about the ambiance and service and neither of these were up to scratch. The hirata buns were pretty bland and I've had a lot better, crab claws were good but you can't really go wrong with these. The puffer fish was terrible - don't order it. Sorry to all the Momofuku fans but this place just doesn't cut it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.075416667; Sentiment_Subjectivity (from 0 to 1): 0.670208333 [/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 this place! This is my idea of a perfect restaurant: chilled out dining area, little tea lights on the tables, pretty extensive wine selection, delicious & simple food plus a gift & take-out shop out front. I love everything that Marlow & Sons stands for as you can tell that everyone who works here genuinely love good food. We ordered the oysters (which came with a shallot vinaigrette and were delicious), cheese plate, mustard greens and pasta. We asked for a little more vinegar on the mustard greens and the chefs not only added it, but also changed the recipe as agreed with us. I really love this place and will definitely return!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.668154762 [/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 don't get the rave reviews about this place. It's nothing but a pretentious joint filled with strollers and folks who have come to taste the pancakes. Trust me, they're not worth it and neither is the wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0375; 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: Best israeli breakfast by far! I love this place. It's always busy, the servers are super attentive and the food is delicious. I've been here a few times and each time I go I always want to try something different but I love the Israeli breakfast so much that it never disappoints. Everything on the menu is super delicious and fresh. You have to check this place out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.399404762; Sentiment_Subjectivity (from 0 to 1): 0.602380952 [/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: Worth the wait! This place is always busy but you should definitely hang out for the pizza as it's a-mAzing. If you end up waiting a bit, check out Brooklyn Pharmacy around the corner as this place is another cool little hangout. When it comes to ordering at Lucalis, order the pizza and calzone but in my humble opinion, the calzone is the winner. It's the sauce. Wow, you just can't beat it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.076785714; Sentiment_Subjectivity (from 0 to 1): 0.492857143 [/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: Pulled pork steeped in lager = absolutely delicious. I love this place!!! Don't be put off by the exterior as this place has an amazing beer menu (although no French beers which is a bit odd)  and quite honestly some of the best pulled pork in the north east. Like most of the best BBQ/pork stores, the sauce is on the side and it's all about the smoked meat. And boy do these guys know to smoke some pork! One bun is never enough and I always want seconds. I love this place!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.58967803; Sentiment_Subjectivity (from 0 to 1): 0.531818182 [/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: Could be a cute place but the staff and food just weren't up to par. We ordered the beignettes to share plus the salmon & eggs, both which were just average but nothing special. I am a huge fan of beignettes so was excited to taste them but they weren't the best I've had and I felt that the eggs were a bit sloppy overall. If you go to this place, it's more about the location and the setting vs the food and service.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.28505291; Sentiment_Subjectivity (from 0 to 1): 0.574603175 [/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 the sort of place where the waiters remember your quirky orders the next time you come in. It has a super cute back yard in the summer but even in the winter, inside is still just as cute with the big red booths and French tidbits lining the walls. You can't go wrong with the eggs benedict at this place. The pulled pork sandwich can be good, but I'm a bit of a pulled pork snob so wouldn't say it's the best place but if you're desperate for a bit of pulled babe on a plate, it is pretty good. Oh, the pancakes are also pretty damn good. They're almost like a crossed between a crepe and a pancake and then topped with strawberries. YUM!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.235784314; Sentiment_Subjectivity (from 0 to 1): 0.574509804 [/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 cute little place and the gyoza is unbelievable. I also love their ramen too, my favorite being the miso ramen with chicken and pork. Yummy!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.077083333; Sentiment_Subjectivity (from 0 to 1): 0.841666667 [/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: Underwhelmed to say the least. I love Michael White's uptown eaterie, Marea so had very high expectations for his downtown place but I was pretty disappointed. The service is shockingly bad, our waitress took so long to take our order and come back with the wine, food, dessert menu. And the food, well, I've definitely eaten better Italian food for the price. The mozzarella as an app is pretty good and for the main, we ordered a few to share but my favorite was the pasta with truffled parmagiano ravioli butter and proscuitto. The food is okay but the service is embarrassingly bad and it's a pretty uptown crowd. Not my favorite place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.077365079; Sentiment_Subjectivity (from 0 to 1): 0.558031746 [/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: Best.corn.ever. Seriously, this place has the best grilled corn in NY by FAR!!! I love it. Okay, so has gotten quite touristy these days and it is super tiny inside so it does feel pretty intimate but keep with it as the food is a definite pay-off. The brunch menu is superb (huevos rancheros are unbelievable) but the overall winner has to be the corn, washed down with a bottle or two of jaritos. WINNER!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.220820933; Sentiment_Subjectivity (from 0 to 1): 0.615873016 [/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 a fan!! I'd wanted to come here for a while after reading so many reviews, and it definitely lived up to the hype. You HAVE to order the eggs in a nest which are absolutely delicious. Truffle oil, portobello mushrooms and cream. Need I say more? The staff are really attentive and happy. Love this place!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.56875; Sentiment_Subjectivity (from 0 to 1): 0.714285714 [/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: Another Michael White success. After my recent disappointment at Osteria Morini, I'm happy to report that Ai Fiori will not let you down as the food is simply exquisite. For apps, the granchio/blue crab is amazing and you have to order the astice/lobster for a main as it's so divine and comes with a little root vegetable fondant and butter sauce. I think it has to be one of the nicest dishes I've ever tasted and by the end of it, I literally wanted to bathe in the butter sauce. My dessert was the definite winner of the table and I forget the name of it but it was a warm cake on one plate, accompanied by a mixture of fruits in a separate bowl. Amazing dining experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.240277778; Sentiment_Subjectivity (from 0 to 1): 0.513247863 [/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! Amazing! Amazing! This place really does have it all, great food, location, super friendly staff and a really good vibe. I treated my parents when they came to town as my dad is a huge De Niro fan and both are lovers of all things Italian so check check on both fronts. The restaurant did not disappoint. The wine list is phenomenal and they have a killer menu too. Here are a few reccos: blue crab crostini which is to die for, buratta, lamb ragu and for dessert the choc pistachio tort plus the lemon tart. That place is simply delish!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.382738095; Sentiment_Subjectivity (from 0 to 1): 0.52670068 [/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! This place definitely lives up to the hype as the space, food and service are all top notch. It's so cosy inside, the perfect place to be on a cold winter night when it's freezing outside. We ordered a bunch of food to share but I would definitely recommend the cava with strawberries as a drink, together with the ceviche hamachi (wow), avocado fries, chicken empanada, beet salad and shishito peppers. Winner by far!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13453125; Sentiment_Subjectivity (from 0 to 1): 0.74 [/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: AAMMMAAAAAAAAZING! I absolutely love everything about this place but you have to get there early or be prepared to wait. The staff obviously love working here, hell, I even want to work here as everyone is so happy and the food is delish!!! I love the hirata buns with both chicken and pork and the ramen is seriously the best in Manhattan. I usually order the shiromaru classic or the akamaru modern and they are to die-for. WOW - serious ramen heaven. Hooray for the winter as means I get to go to Ippudo multiple times without feeling guilty :); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.159375; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/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: Fellow Yelpers, Beware!!! They serve yucky hard croutons with their cold mezzes rather than pita. I have been eating here for 6 years and today was the last straw. Is it really that costly to include some pita with a dip appetizer? Also what is with the attitude of the staff on the phone. Boo Snack Boo. I will no longer be eating here. Now I need to tweet about it...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.172916667; Sentiment_Subjectivity (from 0 to 1): 0.452083333 [/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: Happy that there is a place in my neighborhood to indulge my crepe cravings!!! After walking up to the restaurant it took about 20 minutes for the two waitresses to acknowledge us at the door even though noone else was there but that did not spoil the meal. Went here with a group of six for their savory crepe brunch special for $8. Everyone at my table was happily satisfied with their choices. I ordered the curry crepe. It was delicious.  I love the buckwheat mixture used in the crepe batter and the creamy naughtiness oozing out of the middle. I am not sure what exactly was in it but I wish I was eating it right now!!!! The greens on the side were a nice compliment to the heaviness of the crepe but very simple and not really that spectacular.   Also I was a little disappointed after I ordered a milkshake and was told that the machine broke after my friend received hers. I know it is not really the restaurant's fault but I was so looking forward to my pear (favorite fruit to snack on!!!) and chocolate shake!!! So I mooched my friend's chocolate shake and discovered big chunks of ice. I guess I lucked out because the shake was not blended so well. Our waitress was sweet and french and a little bit awkward at the same time that it was a very charming fit for this petit cafe. The decor inside is tremendously cheesy and looks as if they tried a little to hard to remind you that you are eating in a quaint French creperie but I suppose the important thing is that there is sufficient amounts of cheese in the savory crepes. I am excited to go back and try more. ----- On a related note to another review on this page. I did see the other waitress interrogate a girl that used the bathroom and she only eased up once she realized the girl was waiting for a table outside with friends. Not sure what their deal is with their bathroom protectiveness but they need to just mellow out and realize it is nice, courteous, and friendly to let people use la toilette even if they are not eating there at the exact moment. Ahhh C'est la vie.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.184179067; Sentiment_Subjectivity (from 0 to 1): 0.580735072 [/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 brought here last night by a friend and was instantly charmed by the cozy intimacy and ambience of the space. Also the menu looked very intriguing. We were lucky and were seated within 5 mins even though the place looked packed. The staff was very friendly and nice. My friend and I shared the hummus/zuchinni pizza- very yummy, loved the crushed wasabi peas on top, the eggplant buns- I loved this dish, and the scallops- very yummy, probably my favorite for the night.  Overall for experimental tapas restaurants it was not the best or my favorite but definitely worth checking out. My friend ordered the pork dumplings for herself and really did not like them. She said they were flavorless, mushy and actually did not even eat all of them. I would love to come again with friends, try new different foods (last night after we ordered I learned they can do a vegetarian version of the menu)and  order dessert. Also I hope to try the sister restaurant in Tribeca soon. I think it is a great place for a date or spot for two friends who love food to share wine, catch up and indulge.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309155443; Sentiment_Subjectivity (from 0 to 1): 0.498439955 [/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: Disappointed in SNACK b/c its super convenient and just the right size to be a neighborhood favorite...if it were good that is. OCTOPUS was truly just bad -- shouldn't have eaten it but was hungry so gulped it down.  They have no business serving it like that when the Greeks arguably do the best octopus preparation in the world.  Don't get this dish if you go to SNACK. The Saganaki was fine. Nothing to write home to Athens about. The eggplant special (stuffed with ground sirloin and covered in bechamel) was tasty -- but overpriced. Lastly -- god bless the man  -- but the waiter was KILLING ME with nonstop commentary and obsessive-compulsive chattiness about every single thing.  He like didn't stop taking to my dater and I the entire meal - -which is cute at first, and then it becomes a hassle.  Really dont mean to sound ornery but this guy really needs a lesson on how to serve people: friendly, yes; cloyingly attentive and pal-ly, no. id skip it. Wow SoHo really does have a restaurant issue that needs to be resolve.d Where do people eat moderately priced weeknight meals??; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.162103175; Sentiment_Subjectivity (from 0 to 1): 0.51765873 [/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 gonna throw my hat in the ring and say Toby's is incredible.  it's not di fara's but for what it is it's just about as good as it can be... great corner bar, tvs with football (aka not tOO hipster), great bathroom...and, of course, deliciousness.  They seem to care about their ingredients more than you'd expect, they arne't going through the motions with what they serve.  Hence, GREAT quality prosciutto and cheese.  The manicotti is randomly the best Ive ever had..spicy and crispy and creamy.  Sort of brilliant.   The pizzas are simple and always toothsome, this is one place where its all about the toppings. this is simply, comfort food that is built upon quality ingredients and quality cooking and a great boon to the neighborhood, in fact I travel to Brooklyn just to eat here (and see friends, of course) - -it's that kind of place. Thanks,Toby's PH.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.561538462; Sentiment_Subjectivity (from 0 to 1): 0.647252747 [/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 REDHEAD is just frankly good eatin'. Its packed, more packed every time I go, but that only happens in NYC for a reason (with some lamentable exceptions).  Ive been going there for years and years and what ive found is CONSISTENT, DELICIOUS, NOTABLE WELL DONE cuisine from a Chef that isn't just resting on her laurels  and popularity.  Its hard to mess up fatty delicious "comfort food" but its even harder to get the subtlties right -- to elevate it to truly outstanding.  I dont even have to mention the FRIED CHICKEN which yes is my favorite in nyc, but its also surprisingly not heavy and perfectly paired with the strawberry salad and cornbread it comes with.  The Shrimps and Grits have made more than one of my "dont-like-grits"  friends into grits-converts (ONE OF US ONE OF US).  The Peanut Brittle is good, yes, but gets too much credit. What doesnt get creidt are the extras.  THE REDHEAD sports some of my favorite BUTTER in all of nyc -- its so good with the rolls that come and youll literally want to eat it off your knife.  The cookies at the end of the meal are delicious too.  Every single time i go to REDHEAD i have a plan to go to momofuku milk bar afterwards for dessert but never make it--Redhead is just so satisfying.  Its one of the the few restaurant sin nyc ill come back to consistently.  It isnt cheap (those days are long gone) but ive never once felt its unfairly priced.  Go with friends, be prepared to wai t(have a drink; relax) and just get ready to have some great food that makes you feel good about life.  Thats all there is too it.  P.S. new coffee-glazed monk fish dish is awesome too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.303621154; Sentiment_Subjectivity (from 0 to 1): 0.613411138 [/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: WTF kiwiana ive wanted to go to you for five years or more.  having lvie din NZ for a little while I had a hankering for those very particular and wonderful foods and flavors.  I FINALLY had a good excuse to go--a friend in town--and was excited. IT was FINE.  thats it.  Which would be ok for a neighborhoody place if it wasnt so damn expensive. Kiwiana takes advantage of park slopers endless $$$ and utter lack of taste00 as long as its expensive the yuppies will buy it. But almsot everything comes up short.  EXCEPT the beer--which was excellent. But the ribs-- honey and marmite is a smart combo..but they are nothing you couldnt make in your crockpot. and served with a bizarre babyfoodish yam puree---its a dumb decision. The green salad with garam masala cashews... forgettable.  the fiddlehead fern salad was the best thing i ate...it was warm and with a great minty cause.  That may have saved things... but not quite. meanwhile i much beloved friend chicken was far inferior to my expectations. Truffle honey sounds ok but truffle oil is the worst most overused ingredient for people that dont know better. it tastes like chemicals and nothing like truffle. finally, the biggest dissapointment was dessert.  NZ pavlova man! should have been the best..and i lobbied hard for my friends and i to order it. it was the worst pavlova ive ever had. Kiwiana, you suck.  Sorry man.  NZ is the best country. Kiwiana, and in fact most of park slopes food scene, is the worst.zs; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.131883394; Sentiment_Subjectivity (from 0 to 1): 0.658150183 [/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: Snack is a simple, tiny little restaurant tucked into Thompson St just north of Spring.  I stopped in for quick snack around 5:30 Wednesday (12/29) to hold my date and I over before our late dinner reservation. The time is important because they stop selling sandwiches after 6 pm so luckily we just made it in time to try the Lamb Sandwich.  I don't eat a lot of lamb or Greek food in general but I was blown away by the flavors and the balance of this sandwich. I really have no idea what was on the sandwich because the I couldn't quite read the small text on the chalkboard menu from my seat.  I saw lamb and my date suggested we share it along with some hummus.  I was famished so I really didn't take the time to look at what was on it either.  I just know I enjoyed it. Small, hole in the wall of shop but great food and good service.  Price wasn't bad either (for NYC).  I think the sandwich and hummus was only around $14 or so for the two of us. Check it out if you are in the area but be sure to go before 6 if you want a sandwich.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.122587719; Sentiment_Subjectivity (from 0 to 1): 0.557685881 [/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 can I say?  Ward III was there when I needed it on my last trip to NYC. When I arrived on Monday night after having to drive in through the snow because flights were cancelled, Ward III was there with a bourbon to warm me up. After bouncing to a few venues after the Syracuse bowl game, Ward III was there like an old friend to help me finish off the night right. It's dark. It's classy.  You could wear a suit and tie comfortably but you won't be treated with any less respect if you're in a sweater and jeans.  The gentlemen behind the bar know their craft and their spirits.  It's what an adult bar should be.  This is in the kind of place I would frequent if I lived in NYC.  It's the kind of place I'm still searching for in Columbus. They have a nice bourbon and whiskey collection, including some local NY state varieties that are interesting.  The Old Fashioned and Manhattan are good staples that they do the right way.  The Ward III is a good cocktail in its own right too.  Don't be scared of the egg whites, just try it. The food isn't bad either.  I tried the pulled duck sliders and they were an nice twist on a slider.   I will definitely be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194091711; Sentiment_Subjectivity (from 0 to 1): 0.511375661 [/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: snacks, to me, are tasty little tidbits of happiness... and snack is just that!  tasty and little.  i admit i was still hungry after eating here, but everything was delish.  i'd definitely return, but either i'd eat a little something before, or not wait until starving before coming here!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.053125; Sentiment_Subjectivity (from 0 to 1): 0.44 [/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: get the abuelo's egg sandwich, and your stomach will be happy!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/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: delicious, high-caliber, trendy ramen.  not something i'd get every day (thanks for the price tag), but i'd probably want to!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.616666667; Sentiment_Subjectivity (from 0 to 1): 0.7 [/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: Hmmm soso.... I can't much about it other than nothing really note worthy; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152083333; Sentiment_Subjectivity (from 0 to 1): 0.44375 [/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: Snack is simple, but good - like its name! The service is always good and nice and friendly! I usually get the Chicken Souvlaki lunch sandwich, simple but good and hearty. The chunks of chicken are huge so the sandwich alone will fill you up. The special soup they make is good too - basically all of their sandwiches and salads are tasty with fresh ingredients. Can't go wrong!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.20172619; Sentiment_Subjectivity (from 0 to 1): 0.642380952 [/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: Oh, Clinton. I love you for the heaven-like blueberry pancakes that everyone raves of, your maple butter, that ridiculous jalapeno sour cream, and that sugar cured bacon that I don't even like but you make me like your bacon! I don't even like pancakes either, but I will willingly throw myself in front of a car just for a half plate of those pancakes (one order is enough for 2-3 people to share!). Fluffy, flavorful, forgiving - drench it in that butter, DRENCH it! But I hate you, too Clinton. I hate you for your ridiculously long wait. The overrated menu that people are so willing to queue for hours, upon hours for. I tried coming at 9AM thinking I wouldn't have to wait an hour - I was WRONG. I can't even tell you people at which time to come during the morning where you don't have to wait. You will always have to wait. That is, unless you want to check them out for dinner, which I hear is more pleasant and includes the same menu. As far as other things on the menu, I love their Farmer's breakfast, their po'boy sandwich, and the chicken sandwich. Their typical breakfast/brunch fare is all good, too. Once, I was lucky enough to dine there while they were jamming to some old school motown tunes - I believe that's the moment I fell in love with this place. Clinton St. Baking Company is CASH ONLY.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.01875; Sentiment_Subjectivity (from 0 to 1): 0.619871795 [/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 had dinner at Yerba Buena this past weekend for my birthday and it was an excellent experience!!! First, our reservation at another restaurant for the night was cancelled and since Yerba Buena was second on my list to try that night, we decided to call them to see if they were busy. On a Saturday night around 7-8PM they had tables in their private basement area available to us. We hopped in a cab and came over - the whole basement was empty. As soon as we got there we were greeted so kindly, they took our coats, made open seats available at the bar for us while we waited for the rest of our party to arrive. Next, we were guided down the narrow steps carefully by the waitstaff and manager to the basement area where our table was waiting for us. Yerba Buena did not skimp on the service at all folks - they pulled out all the stops, the whole shabang. Whatever we wanted, needed, they made it happen with grace and ease. We were totally impressed especially since we were basically walk-in's on a Saturday night! The food was amazing - everything we ate was super delicious and flavorful. We started out with some appetizers - Guacamole, Hongos Wild Mushrooms, and the Calamari. ALL of these dishes were amazing and we scarfed them down in a second. The most outstanding dishes I'd say were the Mushrooms and Calamari. The Calamari was tangy, crunchy on the outside and slightly peppery, but chewy nice texture on the inside. I've never had Calamari like that - I definitely recommend it! The Mushrooms were delicate, but juicy and cooked to perfection. I wanted two more plates of it!!! Next we have the entrees. We each ordered something different, I had the Ribeye (it was my birthday, had to splurge!) and that was succulent - I mean like juicy, smokey, flavorful and fatty too. I asked for it to be cooked medium but I think they ended up cooking it medium rare, which for the most part I would have frowned, but it was so good I'm happy for the blessing in disguise. The avocado salad was a nice lighter compliment, and so was the yucca balls/fries, but the meal got a little heavy after a while. It was A LOT of food though, a huge portion, that I finished probably 3/4 of. The other dishes we had were the Paella (yummy and slight curry flavor), Costilla (short ribs so tender and juicy), and then the Tacos de Pescado (fish tacos were flavorful yet light and delicious). So far, sooo good. Lastly, for dessert I was surprised by firecrackers and the Pastel de Chocolate Cake - so rich and chocolatey and beautiful in flavors and texture, it was to die for. They also served us complimentary dessert wine to enjoy! Overall, the experience was so great and the food amazing. Combined it made for a truly special birthday experience and I recommend this to anyone with a small dinner party! The price is really not bad for all the food we ordered and I'm definitely looking forward to returning for dinner once again!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.245860014; Sentiment_Subjectivity (from 0 to 1): 0.570631914 [/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 of all, though I am from Texas, I am in no way a connoisseur of BBQ and/or meats. Sorry to disappoint. I am, however, a strict and critical judge of good tasting food. And good tasting food can be found at Fette Sau. I went on a really cold evening a few weeks ago, no line, and no shortage of seats and/or food. We sampled a little bit of everything. I loved the Brisket and the Berkshire St Louis Style Pork Ribs. I did not care for the Berkshire Sausage, the texture was weird to me, perhaps I am not used to fennel as a sausage ingredient. The sides that impressed me the most were the broccoli salad and pickles. I absolutely LOVED Cora's Broccoli Salad - no mayo, just tangy and garlicky goodness!  Guss' Half-Sour Kosher Pickles are so delectable, light with just enough flavor to balance out the heaviness of your meal. The sides that impressed me least were the potato salad and beans.The potato salad was different, again, no mayo (hate mayo!) and it tasted good, just wished the potato slices were cut into chunks to make it easier to eat. I liked the Burnt End Baked Beans - well, I love burnt anything, really, but they were a little on the salty/heavy side for me. I also had the key-lime pie tart, which was good, but pretty tart. Dad's root beer was awesome. And most of their beers are pretty solid. Overall, I would definitely recommend this place looking for some good BBQ in New York.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240775401; Sentiment_Subjectivity (from 0 to 1): 0.634937611 [/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: Every meal I've had at Traif has been a memorable one because each experience was so positively lovely and enjoyable. I've taken local friends and visitors to eat at Traif and I've always been told that it has been a unique experience because of the food! From the handful of times I've been there, here is a list straight from their menu of dishes that I continually return to order, starting with my most favorable at the top: sauteed broccoli rabe, roasted portobella-truffle toast, fried egg spicy, bigeye tuna, tempura japanese eggplant, kecap manis bbq, braised short rib sliders, sweet potato fries, smoked paprika aioli baked muenster cheese, smoked chorizo, golden apples, crostini roasted bone marrow, white anchovies, shiitake escabeche, garlic toast {dessert} panna cotta, passion fruit, mango, pomegranate I'm actually not too crazy about their bacon donuts as I feel they are not really that special. The ice cream and bacon served with the donuts are good on their own, but the actual donut is what I'm not very impressed with. It tastes rather plain, and I would've preferred the bacon to be baked in the dough instead of sprinkled on top. Since their menu changes about every few weeks or months (not sure), there are some additions to the menu that I had not seen before, and upon returning, some of them disappear. Recently, I had a risotto dish that turned my hatred for risotto to absolute love and devotion. I can't remember exactly what was in it, but it was freakin' good!!! In terms of reservations, definitely try to make them if you can. I've noticed that it starts to get really busy as it gets later in the evening. So if you're planning on walking in without a reservation, the earlier; the better. I would also strongly recommend coming for dinner and NOT brunch as I've heard people say mediocre things about brunch there, but dinner has always been phenomenal for me. The service is always good if not decent on a busy night, and attentive enough. It is so impressive to me that they make such amazing food with such a small kitchen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.197489628; Sentiment_Subjectivity (from 0 to 1): 0.51605492 [/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 family is Chinese from Cambodia and I've been to Cambodia several times. To be completely honest, I can't say that there are many (if any) sandwiches/sandwich shops like this in Cambodia at all, at least not in Phnom Penh. In Cambodia, the traditional sandwiches come with a green papaya slaw, fish sauce, cha (Vietnamese ham roll), and of course you can order the barbeque pork and what not. So...I don't really know (other than the catfish sandwich) what particularly about this place makes it Cambodian. With this said, Num Pang (which means 'bread' in Khmer) is perhaps a Cambodian twist on the Vietnamese Banh Mi sandwich. Similar ingredients include cilantro, pickled carrots, and cucumbers. I've tried the Peppercorn Catfish sandwich and the Tiger Shrimp sandwich, both delicious. They are each packed with good flavor, texture, some spicy heat with their special mayo, and although they look somewhat small - the sandwiches are VERY filling. The price is not bad either. Some things I wasn't too fond of...the corn on the cob was not bad, essentially containing the same ingredients in the sandwiches (coconut, spicy mayo), etc. It was OK, but it's not Cambodian in any way. The fruit salad also had this weird plastic-y watermelon taste to it, I didn't enjoy it. Same goes with the Watermelon juice, it wasn't very cold and it sort of tasted like plastic. But this is, after all, a sandwich shop, so I will ignore all of that. So...why 4 stars you may ask? I mean...it's a pretty damn good sandwich even though it's not Cambodian in any way. The ingredients are fresh, the bread is so good (which can make or break a sandwich imo), and my curiosity has peaked in that I'm genuinely excited to go back and try everything else on the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177219662; Sentiment_Subjectivity (from 0 to 1): 0.495583717 [/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: In terms of the crawfish boil, and the sauce which is called "The Boil Special" which is a combination of all three that they offer, it was really, pretty darn good. The flavors are similar to the "Whole Shabang" type of sauce/seasoning offered at the The Boiling Crab, a popular crawfish joint from Cali, and some parts of Texas (where I'm from). When I left, my hands smelled of the Old Bay seasoning combo they used for a while, and I didn't mind at all. Coming from Texas, I've experienced a lot of crawfish boils, homemade, and at restaurants, so finding something like this in NYC is a treat. At the same time, in Texas, during crawfish season, you can get a pound of crawfish for like what, anywhere from $6.99 to like $10.99 depending on the season. So though I know that they justify the $25 per pound because they have crawfish shipped from Texas overnight, freshly each morning, still, it seems a bit blasphemous to be paying so much for these little bottom feeder critters. Sigh, but still, when you're craving crawfish in NYC and can't make it down to the south during the season, this is probably one of the better places to go. Now, let's talk about the menu. For the appetizer, my friend and I ordered the soft shell crab - it was ok. As our entrees, we each ordered the special that is a pound of crawfish and shrimp. I felt like I got way more shrimp than crawfish - they were huge and the crawfish sizes were decent. They also throw in one small corn of the cob in there, some tiny pieces of potato, and something I believe was supposed to resemble a sausage. Overall, there is no freaking way that that was 2 lbs of food, I mean, it barely was 1 lb of crawfish to be completely honest. But at the bottom of the bag, was  a ton of the sauce, thickly sitting there, which I kept feeling through thinking some crawfish were hiding. They were not, it was just thick sauce. But again, going back to the flavor, it was spot-on, and satisfying, in fact my mouth is watering thinking about it. The service, I have to say was pretty good and attentive. They made sure to keep checking up on us, empty our trash basket, bring lots of napkins and wet naps, so I appreciate them for that. It's also interesting that they use their iPhones and an iPad to settle your bill, not sure how much more convenient that is for guests, and also kind of makes it awkward when they're sitting there swiping your card and waiting for the charge - it kind of interrupts the dining experience. So, in summation, I'm giving The Boil 3 stars for a combination of the price and what you actually get for what you pay. While the flavors are good, the price is just what makes it difficult for me to justify a higher rating. You really have to be in the mood to splurge going here, as it could easily round up to $40-$50 bucks per person for not a lot of food. And if you know anything about going to a seafood boil, then you know you most likely won't be too full afterwards, b/c peeling that crawfish is a lot of work. So you've got to weigh your options here and think about if the price will be worth it to you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.193875412; Sentiment_Subjectivity (from 0 to 1): 0.54789982 [/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 going to Il Corallo Trattoria for the past two years and I am currently the Duchess on Yelp for it while writing this review. With that said, it gives me much displeasure to now be writing a review that is not exactly reflecting my loyalty and love for this restaurant. I had been going here mainly for lunch since I worked close by. Each time, the service was the same. Not the best service, compared to friendlier restaurants but never bad, inattentive, or unpleasant. I am not extremely well-known by the managers/owner, but the waiters do recognize my face and know that I'm a regular. I have recommended this restaurant countless times to friends and colleagues who have later become regulars, too. I have claimed it as one of my favorite Italian restaurants in NYC. I am well-traveled but still think this place makes some of the best pasta I've had in my life. Their lunch special is hands-down the best deal in that neighborhood. I've liked almost every thing I've tried here. However, an incident that occurred recently extremely bothered me. I have not been able to return to this restaurant because I've been so turned off by the service from that one incident. I treated some friends to dinner here one night and ordered the Black Ravioli Seafood lobster & crabmeat filled ravioli. When I bit into a piece, I immediately tasted something off. I had a few more bites, but it was not good and I couldn't even finish the one piece. It wasn't awful, but the seafood tasted like it was old and my friends said so too, before I even verbalized it. I was hesitant to say something to the manager because I love this place so much, but decided it wouldn't hurt. When I told the manager that "something about this dish tasted off to me", her response was "Well that ravioli was made yesterday and since then we've sold about 30 plates and no one has said anything about it, so I know for a FACT that there is nothing wrong with that dish, but I can remove it from your bill." I did not appreciate her attitude or tone. It was unnecessary for her to rudely contradict me. In regards to customer service, she was completely unapologetic. In my experience, the chef or manager respects that the customer did not like their food for whatever reason and offers something else if not removing it from the bill. Don't get me wrong, I am not a complete believer that "the-customer-is-always-right" because I think a lot of customers are stupid. But what about respecting the customer who was kindly telling you she did not like her food, not as a complaint or whine? I do not believe I deserved to be spoken to like that, but I let the manager walk away as I soaked in the interaction. As I have said before, I have not been able to return to this restaurant. I don't even crave my favorite dishes from here anymore. I am not condemning this restaurant, but neither am I highly recommending it. I am just extremely disappointed from that one incident. If you do decide to go here, enjoy the food. If your food happens to not be enjoyable, comment and/or complain with caution.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.092120061; Sentiment_Subjectivity (from 0 to 1): 0.531844361 [/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 really charming.  It is a great place to have a low-key lunch.  The food is simple and effective - you should go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.726785714 [/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 awesome.  There is nothing about it I don't like.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/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: Great lamb sandwich (version 1.3) for $10. As a software programmer, I'm amused that their sandwiches have version numbers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>