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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: It was a Wednesday night. I got to the restaurant first, so I put  my name down and was told the wait would only be half an hour. I then went to the lounge while waiting for my friends to arrive. As soon as my friends arrived, I went to the hostess to let her know that we were all there as I was instructed earlier. She told me I should close my tab at the bar as it would just be a few minutes. My friends decided that they would wait to order their drinks at the table since we would be seated soon. We closed our tab, waited and waited. My friends were starving coming from work, so one of them went up to the hostess to check on our table status. Apparently the people at the table were taking their time even though they already paid. Fine, I understand. So we kept waiting, very patiently. Probably another 15 minutes went by, we were finally seated, in this area which probably had about 40 empty tables!!!! We were not happy. That area was sectioned off when I first got to the restaurant, and no one was sitting there. An hour later when we were seated, there were maybe one other party sitting in that section already. We were very confused. I'm not sure what the point was to make us wait an hour (while we were only told the wait would be 30 minutes) and there were all these empty tables. And if you decided to open up that section, why in the world couldn't you seat us earlier since there were so many empty tables????? What the heck Public? That was not cool.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.033449853; Sentiment_Subjectivity (from 0 to 1): 0.494722222 [/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: Excellent food and cocktail, and a cute place for a date or your girlfriend get together! We had the pulled duck slider, frisee salad (with pumpkin, apple, and bacon), lamb taco, and chocolate cake with pistachio ice cream. They were all DELICIOUS!! But portion was definitely on the small side. After my pulled duck sliders and a side salad (which had no dressing on it), I was still hungry. If I weren't on a budget, I would probably order another dish, or two. Hence the 4 stars. For drink, I had a Turtoga with rum, lime, muddled lemon, cinnamon, orange, pickled ginger. It was very smooth and on the tangy side. LOVED it! You also have the option of mixing your own cocktail by telling them what kind of flavor, liquor, spice, fruit, and texture you want. My friend made one with rum, refreshing, and mint, and it was yummy. But his 3rd cocktail was a bit too interesting when he decided to make it spicy.   I also loved the fact that they had 13 or so house rules, and one of them is "don't be creepy". Every bar and club should have a house rule like that.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.440714286; Sentiment_Subjectivity (from 0 to 1): 0.753571429 [/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: Pretty yummy brunch food. I had eggs benedict the first time there, and really enjoyed the dish. Second time I ordered the rabbithole benedict, which was the vegetarian version of eggs benedict. Instead of the ham, it was caramelized onion and spinach. Not so much a fan. They also over cooked one of my eggs, but they were nice enough to make me another poached egg. I think I'm going to stick with the regular eggs benedict from now on. We stayed till around 4pm, and they gave us a freshly made chocolate chip scone and a raspberry scone on the house as they were getting rid of them. They were very very tasty! I just wish they would have given them to us before I finished my coffee. I love the ambient of the restaurant, decorated with antiques, and they also have a courtyard in the back, perfect for a nice summer day. We barely had to wait the three times I've been there. An excellent spot for brunch! :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.357352941; Sentiment_Subjectivity (from 0 to 1): 0.552956259 [/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: not bad, but i was kind of disappointed about the portion because i was still hungry after a bowl of ramen. however, the waiter was nice enough to give my friend more soup when she asked for more. i would  recommend going during lunch time. there was no wait at all when i went for lunch compared to the 45 min wait when my friend and i went for dinner. during lunch they also have a lunch special, which you add an additional $3 for salad and a bowl of rice with salmon egg (or something else, which i can't remember what the other choice was).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225793651; Sentiment_Subjectivity (from 0 to 1): 0.640343915 [/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 home made pasta! Just as good, if not better than the ones I've had in Italy. Their pappardelle is probably one of my favorites, and I usually get something that sounds good from their daily specials, which usually offers 5 or 6 difference choices. The prices are good, and the portions are just right. I'm not crazy about their soup and sandwiches. Pasta is definitely the way to go! The shop itself has very limited seatings, so definitely not for big groups. But they deliver!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.228061224; Sentiment_Subjectivity (from 0 to 1): 0.447959184 [/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: Needed a quick, healthy light "lunch" and this place was perfect! Next time I'll definitely have yo plan better so I can try some of their hardier sandwiches and dishes. ALL the food looked AMAZING and the items we had were DELICIOUS!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.481481481; Sentiment_Subjectivity (from 0 to 1): 0.622222222 [/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: Their artichoke chicken salad is good and plenty.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.775 [/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: Egg Norwegian.; Max_Daily_Reviews: 4; 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: Nice ambience and decent food.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.383333333; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/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: Knowing its popularity, it disappointed me.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.75; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some good Big Greek cooking!! Came to City on a gorgeous Sunday after a brutal winter one of the first clear sunny crisp Sundays to walk about Soho one of my fav's to do... And we were hungry and decided to try this hole in a wall gem!  Literally a hole in the wall which I think is perfect I believe they have 5 tables and it's so small the restroom is down the hall! The food is delicious...had the hummus, warm pita, lamb stew was fresh & just perfect, pastitsio (sp?) was perfect and portion were just enough! They dimmed the lights lit candles and it was a perfect way to end a Sunday...full tummy, wine, a real gem! The service is good hard not to be in such a small place! You feel like your in someone's home with other guest - the cooking is down home good!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263333333; Sentiment_Subjectivity (from 0 to 1): 0.545111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went their for breakfast Sunday and it was delicious had the brioche French toast with berries and a couple of Bellini's. My boyfriend had eggs Benedict and the hash brown was fantastic and the bloody Mary's were Delish n spicy.  We were also lucky enough to see Susan Sarandon there eating; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155555556; Sentiment_Subjectivity (from 0 to 1): 0.688888889 [/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 went here and I thoroughly enjoyed it!  They were very accommodating considering I was late due to traffic n then needed to add another guest to resy.  The place is small, adorable and deliciously quaint.  The drinks were delicious with a healthy pour of alcohol, how drinks should be made!  I had every intention on getting the steak sandwich and it is definitely a must try! We tried the octopus that was good (according to my friends I don't eat seafood) but I agree with another review not worth the money for the portion size, the mussels were really good, chorizo was good, beet salad was divine! The staff are very friendly and good looking ;) (insert French accent great touch- looked like David Beckham too) and the atmosphere is perfect!!  I will definitely go again...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.411309524; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/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!! Went here Sat night 6/14/14 and the food was fantastic! We were a table of 4, our waiter was excellent told us to order 2 dishes per person which was just the perfect amount of food!! We actually ordered 1 additional - salad greens n we were all stuffed!! They accommodated our portion - I ordered sliders n they added another slider so everyone could sample! Ribs were insanely finger liking good n fall of the bone tender, I don't eat shellfish, but I was told by my friends the scallops were off the chart great!! I ordered the gnocchi n it was melt in ur mouth ricotta smooth.  We were determined to get dessert - the bacon donuts n key lime pie....I'm not partial to key lime pie n the graham cracker crust was heavenly!! The donuts as strange as it sounded to me worked! I knew though anything with bacon will just work...the only complaint I can say were even though drinks were tasty they def were not strong which I think is typical...also our meal with 9 dishes, two deserts, n 5 drinks was absolutely and incredibly reasonable!! This place is a must go for NYers & ur visitors to experience more than once ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.711666667 [/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: Needed a quick bite and stopped here because of the reviews.  It's really cute and small inside. Had the roasted sandwich and it was good.  Service was very friendly, too.  Nice place to break from shopping; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.395138889; Sentiment_Subjectivity (from 0 to 1): 0.691666667 [/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: Adorable little cafe.  It's like being in Paris but everyone is super friendly!  Had the steamed eggs with smoked salmon which was fantastic.  And the Americano was very good too.  Next time I'm in NY I'll have to come back to try other items.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255509259; Sentiment_Subjectivity (from 0 to 1): 0.52462963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's a reason why this restaurant has a Michelin star...it has excellent food.  Had their private label wine which was very drinkable and went well with the dishes.  Started with the foie gras since it's banned in CA and I needed to get my fix while I could.  It was delicious, though they were a bit chincy with the portion...just a small cube which was overwhelmed by the considerably larger slice of bread it came on.  For entree I had the cod which was delicious and the sticky toffee pudding was good too.  Not the best I've had, but good enough to finish.  I would come here again to try other items on the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.435416667; Sentiment_Subjectivity (from 0 to 1): 0.579166667 [/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 wanted to love this place, especially since the one in SF is great.  Let me  start by saying that the service here is absolutely 5 stars.  But the food... was so disappointing.  To our surprise, the seasoning for all 4 dishes we had were way off.  The foie gras was bland and the steak tartare was way over-spiced/seasoned...also smelled/tasted heavily of ketchup.  The mussels were also so bland we had to ask for salt and Tabasco.  Normally I love dipping crusty bread in the mussels sauce but it was as if the chef forgot the seasoning!  And the duck leg confit was also a bit dry and bland.  I dunno, maybe it was an off night?  Or new cooks? I would come back for the wine and charcuterie/cheese but probably not the prepared food.  Disappointing, to say the least.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.012168561; Sentiment_Subjectivity (from 0 to 1): 0.619034091 [/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: Sadly, I was not impressed with this place. I went here bc of all the great reviews.  Only my trecolori salad was good.  The pasta was way overcooked...it actually broke apart when I tried to pull it with my fork to eat! And was definitely NOT al dente.  Maybe I ordered on an off night.  I was disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.03125; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/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: Excellent meal. Service was also very friendly and attentive.  Started with the torchon which was creamy and really good.  They paired it with some dried fruit and nuts, and puréed something...it all meshed very well together.  Then had the Trofie Nero dish.  I see why it's so popular!  It was fantastic.  This will be on my list of places to come back to when I'm back in NY.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.37375; Sentiment_Subjectivity (from 0 to 1): 0.585 [/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: Who knew Macy's would have a solid Italian restaurant inside?  I had the squid ink pasta special and it was good.  Ever so slightly undercooked but still al dente.  Waiter was a young guy who spoke Italian with some visiting Italians at the table next to me.  He was nice.  I felt bad when his boss (?) in a suit seemed to 'correct' or lightly admonish him for something...seemed like poor management skills.  Do it behind the scenes, not on the floor in front of everyone. I dunno, maybe he had a Napoleon complex.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.013605442; Sentiment_Subjectivity (from 0 to 1): 0.421768707 [/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 trying to find a healthy place during my visit and decided to settle on this based on the reviews.  While it's healthy, it wasn't that great.  Had the curly kale salad which was not very flavorful.  The brussel sprouts were also pretty bland.  Not sure if it's the lack of seasoning or the sub-par quality of the produce...or both?  I guess I'm spoiled living in CA where I can get amazing tasting produce and lots of healthy options that don't sacrifice flavor.  That said, I would give this place another try to see if maybe it was just what I ordered.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.292592593; Sentiment_Subjectivity (from 0 to 1): 0.685802469 [/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: Read about the black label burger and decided to try it.  It was good!  The meat tasted different...more depth than other burgers.  The bun and fries were also really good.  Also had the oxtail and foie appetizer which was also very good.  I'm glad I tried it, but at almost $30 it's a splurge and there are other great burgers around.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.421041667; Sentiment_Subjectivity (from 0 to 1): 0.614166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was delicious and service was great. Good atmosphere for a quick bite alone or to catch up with friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.708333333; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/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: Awesome hole in the wall place to grab a quick bite. Great music, great vibes and great service. The lentil soup and steak sandwich was absolutely to die for. The space is really small yet cozy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.435416667; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Jane is an all around 5 star restaurant. The food is never a fail and the service is always great. The fried artichokes are out of this world. I highly suggest this restaurant for any meal. You will be very satisfied.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.465; Sentiment_Subjectivity (from 0 to 1): 0.6475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a great restaurant for a large group or for a couple. The anti pasta selection is delicious as well as the pizza's, seared tuna, and veal. Everything else looked so delicious. I've been there three times since January. The art work in the restaurant is also very interesting and fun to look at. I am looking forward to going back soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.566326531; Sentiment_Subjectivity (from 0 to 1): 0.575510204 [/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! Great soups and Greek salad and spinach pie and tuna sandwiches. I've been a fan for years. The dining "room" is small and cramped but prices are low and the food is always fresh and delicious. I've only been there for lunch and look forward to going back for dinner. Services is fine -- not special - but more than adequate for a special little SOHO secret gem; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.207254464; Sentiment_Subjectivity (from 0 to 1): 0.514136905 [/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 ate at Jacob's Pickles shortly after it opened and just loved it. Great beer, great pickles and outstanding chicken and mushrooms on a biscuit! The folks next to me loved the mac and cheese. Everything was delicious and I would be a regular if everything on the menu wasn't rare splurge food (fried or cheesy - yum but lots of calories and fat!). I look forward to going back for a special occasion.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.270153061; Sentiment_Subjectivity (from 0 to 1): 0.626667975 [/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: Run, don't walk. From the moment we called for a reservation, everything was fantastic! Staff was friendly and attentive. Every dish was just excellent. We loved the black cod, apple salad, farro, artichoke and white beans on toast, lamb meat balls and fig cake. Can't wait to go back; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.351041667; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great looking place and lots of good food options. I was very excited but a bit disappointed. I was there at lunch and getting through the line was a hectic experience. I had a chicken laffa and while the topping options were good, I had to keep taking inedible pieces of the chicken out of my mouth. I was please that it was white meat but not cartilage.  Next time I'll try the felafel or shwarma but stay away from the chicken. Lots of sauces but they weren't well explained or clearly labeled. I'll go back but the first experience could have been better; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.070535714; Sentiment_Subjectivity (from 0 to 1): 0.55297619 [/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 it's new location, I'd say give it a few months to work out the kinks. I had dinner there last night and the place was packed, the food was just ok, and the service was so off, it was like a bad joke. The waiters were running around like crazy. The wine we ordered first came at the very end of the meal. The entrees came 3 minutes after our appetizers arrived even though the waiter told us we needed to order everything at once because the kitchen was backed up. A manager apologized and promised free deserts but that never happened. The basement is very very loud. Most of the food was, as always, delicious. The appetizers are superb, though they are skimpy on pita and charge for additional bread. Salads were great. My fish was too salty. I'll go back but not any time soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.227757576; Sentiment_Subjectivity (from 0 to 1): 0.558080808 [/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 atmosphere. Very very nice people. Fun watching food get cooked in the open kitchen. But the food was rather bland or too salty and everything, and I mean everything was way too oily and greasy. So unpleasant. Great menu but the execution honestly made me sick to my stomach. I wish the food tasted as good as it looked and as good as it looked getting cooked. I waited almost an hour and a half and expected so much more from the reviews.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.20465873; Sentiment_Subjectivity (from 0 to 1): 0.646309524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is amazing! The service is equally amazing! My friends and I are definitely coming back to this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375; 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: Quick, delicious and filling. After a few hours of shopping in SoHo we were starving. They couldn't accommodate the three of us at first (it's tiny), but took my number and called us back like 15 mins later. Fresh ingredients and the flavors hit all the right notes. The pastitsio was delicate, the hummus was creamy and the dolmades werent too dense, or tart. Service was with a smile, too. Definitely good to try on a mellow Saturday afternoon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222420635; Sentiment_Subjectivity (from 0 to 1): 0.422420635 [/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: Took my Mom for a birthday supper (we hit the restaurant at around 4pm on a Sunday) so the place wasn't crowded at first. By the time we left, there was a full on theater crowd and it was quite loud. **TL;DR version** This is a great "fancy" restaurant to go to when you have a group of widely ranging tastes and eaters. Some people who want simple, traditional flavors (aka non-adventurous eaters like my Mom) and others who are willing to play with less familiar flavors and textures (like me!) **Extended version** The bread plate was interesting. White bean paste and olives were both deliciously savory ways to whet the appetite. The crostini sticks had good bite, but the actual bread (two kinds) was a bit hard for my taste. (The better to spread with white bean paste, said my Mom). Ceasar salad was pretty damn good. Leaves were nicely coated with dressing (not drowned or dry) and fresh, crunchy croutons. LOVE, LOVE, LOVE that they have a simplified wine list. A page full of $25 bottles. Reds, whites, roses and sparkling included. We picked a prosecco. It was crisp and fruity, without being terribly sweet. Mom had the lemon chicken breast. Succulent and fragrant. I had the try it all pasta special. It did not disappoint. Penne with short rib ragu (NOMLICIOUS), spaghetti with red sauce and the standout winner (which I wasn't expecting) was the vegetable canneloni with bechamel sauce. Decadent. Rich. And perfectly seasoned. Not mushy vegetables. Pasta with bite. So. Freaking. Good. Service was nice, too. The wait staff could've been a tiny bit more attentive, but honestly, they kept out of the way so Mom and I could eat, drink and be merry. Highly recommended for a non-hipster, non-pretentious upscale dining experience if you're in Midtown and randomly want some Italian.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249693323; Sentiment_Subjectivity (from 0 to 1): 0.52123706 [/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, consistent, well-priced. Food tastes clean and feels like its made with love.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.529166667; 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: Vegetarians rightfully go nuts for this place. If you are one, and you like savory, saucy dishes you have to try. Really, really yummy.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.2 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So delicious. The best I've had as thin crusts go. The only downside is that it's very expensive for pizza. But you do get what you pay for. The classic is the best!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.302380952; Sentiment_Subjectivity (from 0 to 1): 0.646666667 [/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 boyfriend and I tried this during a major snowstorm. We were surprised they stayed open and they were so hospitable. The atmosphere is candlelit and cozy. The wine was good and the food was excellent. Unfortunately the experience was ruined when we were presented with the check. The gratuity was included but this was not pointed out. I'm not one to review my check normally, the only reason I caught it was because the bill seemed too high. This was especially insulting since the did not include an itemized bill. I felt like they were purposely trying to mask the built in gratuity and that was the death knell for me . I've updated my review after receiving a response from the owner. It appears the automatically included gratuity was a genuine mistake, and it is not their policy.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.072708333; Sentiment_Subjectivity (from 0 to 1): 0.745 [/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 quaint little "hole in the wall" kind of stop. Only a block away from the avenue of the Americas in Soho. There's only 4 tables for about 8 people at anytime but it didn't seem too much of a problem at 1:30pm on a Saturday. Really freshly authentic Greek food and pure cane sugar soft drinks were definitely something different. Definitely worth 5 stars. Relatively cheap as well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.16619898; Sentiment_Subjectivity (from 0 to 1): 0.521428571 [/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 lamb sandwich; 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: Charming atmosphere, fantastic selection of cheeses; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.95 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Review from a foodie friend: Huge lines so went after 9pm but still got seated at the bar.  Very loud.  After careful analysis ordered the truffle burger and later heard a person ask the server what he should get if he could only get one burger.  The answer was the truffle burger.  Truffle burger was overly salty and couldn't taste the meat.  Bun was too thick and dominated the texture.  Could taste very little truffle.  Not a lot of umami, mostly saltiness.  Burger was a bit bigger than shake shack but not much.  Very pricey at $12, and fries cost another $4.  Would rank it certainly below shake shack, and slightly below BareBurger.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.035856227; Sentiment_Subjectivity (from 0 to 1): 0.612545788 [/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: 5 stars on food, 3 stars on lack of seating We ordered "pappardelle with Sausage in Spicy Tomato Sauce" and tagliolini with porcini mushroom in tomato cream sauce. The pappardelle cooked to perfection, the sauce was meaty and spicy. Good Italian portions but still very filling. We heard the familiar sound of Seamless web orders while waiting for our meal, which means my co-workers and I will be ordering to try every item on the menu :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.414285714 [/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... as you may notice from some of my other reviews... i am not the healthiest eater (.. I DO try).  Snack has about the BEST Greek Salad I have ever tasted.  Big juicy tomatoes... crunchy fresh cucumbers...fantastic olive oil dressing.  I don't eat greek salads typcially - but I do eat them at Snack...Actually, I crave them when visting New York.  You should try it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.192207792; Sentiment_Subjectivity (from 0 to 1): 0.247077922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There is a Gyu-Kaku Barbecue right down the street from me in Beverly Hills.  Not sure why my first visit is to their location in the middle of New York City.  The menu is pretty large - many different meats and fish to choose from.  Clearly, you get the drill by now... you grill your own meat in the middle of the table.  That was fun... but I kept tried to stick my fork on the grill - that is a no-no.  The portions were large... plenty for lunch.. the service was also good.  Busy time in Times Square - but in and out within an hour.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19088787; Sentiment_Subjectivity (from 0 to 1): 0.467167473 [/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: Joe Allen is a New York  and Broadway "must visit".  In the heart of the Theater District, it is easy to get to before or after a show.  The atmosphere is fun, usually full of chatty folks excited about the latest Broadway news.  The service is great - they make you feel welcome.  The food and drink choices are also solid.  I've had many of the menu items here - all were good.  Who knows who you might see....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.444972452; Sentiment_Subjectivity (from 0 to 1): 0.594352617 [/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: Odeon is "comfort" to me...  When I lived in NY... I dined here at least once a month... and I always try to return whenever in town.  It has been a staple of the neighborhood for many years... the menu is not extensive, but the quality is good.  Service is solid...and the crowd always lively.  An added bonus...they serve homemade ice cream in cones out front during the summer months!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.214090909; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/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 treat!  If you are looking for some "down home" feeling good food... Bubby's is for you!  They have a really terrific brunch menu.. Very tasty biscuits...French toast...and some creative egg dishes.  They have some tasty choices for dinner too!  Try their meatloaf!  You may put on a few pounds here...but it is worth it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267956349; Sentiment_Subjectivity (from 0 to 1): 0.484126984 [/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: OK!  This was a very pleasant surprise.  North End Grill in Battery Park City is a very classy joint!  I recently enjoyed lunch here... Started with a very tasty Chicken Butternut Squash soup, followed by a delightful Chicken Caesar salad.  The veggie burger and ground chicken burger looked yummy and received a thumbs up from my partners who sampled them.  The service is fantastic here!  So friendly and welcoming... Very rare these days.  The atmosphere is high end as well...  If you want to kick it up a bit for your next NYC meal... you should visit NEG.   Look like they have a lively bar area too...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.213479798; Sentiment_Subjectivity (from 0 to 1): 0.719333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to admit I was reluctant to jump on the Shake Shack bandwagon a few years ago... mainly because when someone says "It is the best cheeseburger EVER" - I think really?  Then, I try it and I am disappointed.  The Shake Shack Cheeseburger does NOT disappoint.  I got the basic cheeseburger (they have a few more complicated choices, but I am a purist), and it truly was good.  Juicy, gooey, and the perfect ratio of meat to bun...  I was pleasantly surprised... then angry that I took so long to try it!  The crinkle cut fries are tasty too!  They have many custard, malt and shake choices too... I got a basic vanilla and was very happy with the creamy goodness.  Would have given 5 stars, but the wait is a bit much... and there were lots of little kids running around and screaming...(which may be a plus for some folks).  So, don't wait... try it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152850877; Sentiment_Subjectivity (from 0 to 1): 0.507017544 [/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: Novelty meets Mediterranean meets SoHo. This place can only squeeze in about 8-10 at 2 seater tables; and I do mean squeeze! But its a money spot for lunch or a quick on the go bite. Go for their lamb sandwich, the dressings are fantastic flavor pairings. If you're looking for something lighter for both your stomach and your wallet, try the soup. The Mediterranean sandwich is full of veggies too. Great variety, cute location, good food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.336588542; Sentiment_Subjectivity (from 0 to 1): 0.7484375 [/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 grew up making dumplings, because my cousins made dumplings, because our Aunts and Uncles and parents, and grandparents, all made dumplings. I've had them in soup, in chili sauce, straight from the pan, straight from the steamer... well, you get the point. Prosperity Dumpling offers both friend and steamed dumplings. The pork and chive is fantastic and the dough is perfection - with just the right thickness and crispness from the wok. The price is right too. 5 dumplings for $1!!! I ordered the sesame panke (like a light pancake) with duck too. I've had better duck, but the two complimented each other nicely and the panke was also very good and not very oily either. Everything was made fresh. Be prepared to wait on weekends, and a few extra minutes for the steamed dumplings. There's over a thousand reviews for a reason! For 20 dumplings and 2 sesame panke, I paid $7 TOTAL. Definitely a 5 star spot!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236985294; Sentiment_Subjectivity (from 0 to 1): 0.492731092 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's something about the burgers at Shake Shack that keep me coming back over and over again. The Shack Stack is my plan of attack - anytime I'm in the vicinity of an SS joint. Everything is made fresh to order, and the portobello's are stuffed with cheese! Yummmmmmm! ALL of the drinks, whether it a shake, lemonade, or soda, are all amazing. It's no wonder this place used to create lines around Central Park. I'm a little disappointed that they have opened so many locations, BUT the quality of the food hasn't seemed to change. So as long as it stays this way, I'll keep my fingers crossed that they open some in California. :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.108125; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been meaning to try this place for a while-highly recommended by a friend. Had the tuna sandwich...good but got TERRIBLY SICK after word. Also, sage tea was nice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.057142857; Sentiment_Subjectivity (from 0 to 1): 0.928571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food but every time I eat here I get sick :S; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.088095238; Sentiment_Subjectivity (from 0 to 1): 0.819047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're looking for authentic Greek and a cozy atmosphere, this is the place. Seriously, it's cozy. There are maybe 5-6 tables in this place. However, despite it's tininess, the server was very helpful to each and every customer in the restaurant. My girlfriend and I had to wait a few minutes to be seated but he took the time to explain some of the Greek drinks and menu items to us. The service was fantastic and and the food was prepared very quickly, and though I'm new to the city, I'm certain it will stay on my list for a very long time as being the best Greek I have ever had. We ordered the Tzatziki cucumber yogurt, Houmus, and Tiropitakia cheese triangles. I strongly recommend this place!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18404329; Sentiment_Subjectivity (from 0 to 1): 0.451953824 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're in need for some great barbecue and have no place to be, this is where you want to go. I went on a Monday night with some friends and ended up standing in line for over an hour before I got some dinner. Luckily, we all took turns getting beer and bringing it back outside to make the wait a little less painful. I think it's part of their ploy to understaff the serving counter and make you wait and drink and build up an appetite before you order, because I found myself ordering $26 in food and not even coming close to finishing my purchase. Yes, it was delicious, fatty, buttery-sweet brisket and pulled pork, but next time I'm going to make a rule that I only get a quarter pound of each, not three quarters! I know it is barbecue after all, and in no way do barbecue locations claim to be healthy, but diner beware: after you eat here, you may find yourself saying, "I will not be having barbecue for a very long time," and actually following through with it. I could literally smell my arteries clogging.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.093869048; Sentiment_Subjectivity (from 0 to 1): 0.472857143 [/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: Not only is the Cuban and Grilled corn pairing the best thing I've eaten in Brooklyn, but the venue is incredible! It's perfect for a sunny day and a great staple in Fort Greene. Friends love coming here when they visit and I have no problem returning time after time. The service is quick and consistent. Highly recommended!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.577314815; Sentiment_Subjectivity (from 0 to 1): 0.648888889 [/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 found this place while wandering around the west village after work one evening, and was this ever a blessing! The food is so fresh and literally everything on the menu is organic. I don't go out of my way to eat organically, but after this experience, I think I'm going to make more of an effort. The service is so fast and friendly. I ordered the chickpea burger and the polenta with capers, and I've been back a second time to order the exact same thing. Highly recommended if you're in the mood for a quiet, relaxed atmosphere and fresh food at reasonable prices!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194583333; Sentiment_Subjectivity (from 0 to 1): 0.370694444 [/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 find in SoHo.  We could have been satisfied with the huge Greek salad and side of hummus, but also got a chicken souvlaki sandwich special that was killer.  It's a small place but really charming and worth checking out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.245238095; Sentiment_Subjectivity (from 0 to 1): 0.63015873 [/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 taramosalata is to die for.  I recommend the Shrimp Santorini. Also, my good friend who is Greek loves this restaurant and says it tastes very authentic!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.504166667; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In the past I  would have given this restaurant 4-5 stars since I love the trout salad and have had many nice dinners there and live right around the corner.   I've been going to all of the blue ribbons regularly for 7 years.  Sadly, this time we left pissed.  I even signed up on yelp to make this review. For the first time in 13 years of living in New York, I was not offered a complementary refill after an embarrassing spilling of a drink all over my friend.  My boyfriend had less than two sips and spilled his grappa on my friend. We kindly asked the waiter if he could replace the spilled drink. He asked "did we spill it, or did you?"  in a surprisingly rude tone.   He came back after he picked up the bill including tips and then said   "its what he expected and they would only give a new drink if they spilled it. "  I guess we should have waited to tip over 20 % on our almost  $160 dollar dinner. So here is my new tip--Isn't it all about the diners experience? I certainly don't have to ask the waiter's opinion on my bad decisions if I don't like a glass of wine.  Wouldn't most restaurants offer another one if a customer didn't like it? The same complimentary service should go for a spilled drink! I understand it was our fault but we pay your 70 plus mark -up to leave happy and at least have more than two sips of a drink we paid for. BAD BLUE RIBBON!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.088459596; Sentiment_Subjectivity (from 0 to 1): 0.475201188 [/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 has the best pasta in the city!  When we went there we sat at the bar. The woman next to us said she goes to the restaurant once a week.  I quietly thought why would anyone go anywhere in the city once a week when there are so many options. After trying the pasta, it all made sense.   The pasta was very simple but whatever combination of the 4 key ingredients they did fabulously.   I would give this a 5 for the pasta, but 4 all of the other dishes.  Go and get some pasta!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.21796875; Sentiment_Subjectivity (from 0 to 1): 0.496577381 [/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 pleasant little shop. Tiny, cute, liquor license, credit cards accepted, intimate....perfection ensues We went for a light dinner and ordered the roasted red pepper salad and the lamb koftikas. The salad had tons of red peppers, a bit potent, but very good. But the Lamb Koftikas, omg, have you ever wondered what you're doing wrong? What's that missing secret ingredient? Well look no further, it's pine nuts. How did I not know this, add it to meatballs and you're in for a treat. The wait staff was extremely pleasant and made wandering randomly into Snack a great experience. I will have to come back when I can eat more than half of an entree.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.164342105; Sentiment_Subjectivity (from 0 to 1): 0.525263158 [/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 will probably come back for brunch in the future & BYOB. We ordered the mushroom cigar rolls, salmon, ahi tuna, and peanut butter cake. Mushroom rolls were good, but I wish it was meat. Salmon-slightly overlooked and a small slab, but the seasoning was good. Mashed potatoes-meh Ahi tuna- very good paired with avocado & nice salad, not filling enough though The peanut butter cake was pretty freaking delicious. I wasn't a huge fan of the raspberry layer ontop, but managed to scrape it off This place is definitely cramped. Tables must be moved to sit in your seat. There IS a bathroom...in the kitchen. We managed to get a seat last minute & were told ten minutes. This turned out closer to 25 Cash only; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.287333333; Sentiment_Subjectivity (from 0 to 1): 0.564777778 [/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, you want tater tots? Do you want to play some skee ball? Come to American Retro, you're bound to find a table and have the skee ball machine to yourself. You'll have a grand old time. If I may suggest, try the tatchos. You'll be begging for more.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.425 [/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: Is there anything else on the island? The wings are actually pretty good here, and with your Zog Shirts you get a wing special, 25cents! After many weeks of going to Riverwalk after our kickball games, I was wildly impressed. It was so much more convenient to stay on the island, and Riverwalk was not overpriced. Alfonso, the owner is a blast. He always had our back and was hooking us up with the  four square check-in special fry sampler which was amazingly delicious, and we got every time. But seriously. the wings. At 25cents I left the Kickball season slower, fatter, and a bigger chicken lover.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.293864469; Sentiment_Subjectivity (from 0 to 1): 0.604578755 [/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: Not really sure how this place has $$, really its more like $. Guaranteed you will wait in line. Even if it's raining. Luckily they have a covered doorway before you enter. MAX PARTY= 4. DO NOT attempt to come with 5 people. There are about 5 options of ramen soup on this menu ($9-13), all of which you can add additional toppings too. ($0.50-$2 extra) SOO many waiters, everything goes by fast. When you sit down, you will be asked what you want.  It's great you can see the wait staff cook as you eat at the bar. One complaint- the chicken that came with my ramen was not good. it was overly dry and it had been sitting in broth for 15 minutes. I heard the pork is better. be prepared to eat your soup with a Japanese miso soup spoon and chop sticks. GOOD LUCK; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.125694444; Sentiment_Subjectivity (from 0 to 1): 0.506944444 [/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 GOODness, was this good Decor was fabulous. You walk into the basement, but it's not so clear to the average eye.They play up the fact there are no windows by adding tree lined rows to the deco, plus they have oodles of space you wouldn't imagine in NY I played the "screw" menu card & just asked the waiter, What are your favorites? We got them all except for something that was fried... -cebiche limeno: I WILL be having dreams about this -empanadas: just your average empanada, but try the green stuff -Lomo Saltado: VERY japanese themed, like teriyaki flavoring. I wish I knew there would be cilantro, but still very good -corvina inca: Typical Peruvian fish, hard to tell what was fish and what was potato until you bit into it and could tell the difference not suggested, but ordered -Camarones Cuzco: oh my the yellow (orange) rice served with this was phenomenal and the sauce on top of the shrimp was pretty good We also got some Pisco's which were beautifully decorated and tastier than expected for a brandy concoction! This place is really cute & good for almost any occasion. Not too fancy where you can't just walk in, but nice with parents, dates, celebrations; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.281333333; Sentiment_Subjectivity (from 0 to 1): 0.57525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: well worth the wait on a Friday or Saturday evening. I've only had the artichoke pizza, but my friends have ate the crab one and raved about that as well. Pretty simple menu, slices under $5-but large. This place serves beer! Apparently they're opening a few others in the city; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.095408163; Sentiment_Subjectivity (from 0 to 1): 0.476530612 [/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 hard time finding a nice happy hour bar on a Friday by Penn Station, but somehow managed to find Smithfield. (insert pat on the back) The Happy Hour specials on Fridays last until 8pm, which is imperative when you're reverse commuting from Jersey. (I know, I know, what was I thinking?) The waitresses were nice and readily got us our beers, the specials were mediocre, but Hey Obama went here... once, at least there website would indicate that! Lots of room, not too crowded and we were able to get a table. Me Like, Me Like! Oh and don't forget the 90's throwback jams. Well played sir, well played.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.223484848; Sentiment_Subjectivity (from 0 to 1): 0.648484848 [/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: Sunday brunch: A+ Outside table: a 15 minute wait, inside immediately.  We choose to get our food faster and were led inside quickly after meeting 3 waitresses with ray bans on their face...  who knows if they were hung over or just going for the Tom Cruise Risky Business look.... All dishes for breakfast are $12+ and 60% of the menu is eggs.  I wasn't in the mood for eggs or a waffle- nothing along those lines, but I quickly found a good brunch option- a burger for $14.   I'm a gal who can eat my weight in fries and not bat a lash, but for some reason the food they brought was too much! Also, you get a free drink with your meal Pros: Classy establishment Free Cocktail w/ brunch fair prices free bread free coffee outdoor seating hipster/preppy waitresses Cons: No liquor before noon; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.365151515; Sentiment_Subjectivity (from 0 to 1): 0.622727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You've got friends visiting from out of town? Are they the type of grown men who walk around the streets of NYC drinking beer 30, rattling off slurs in their southern drawl? The beauty of Barbacon is that it's not just for those friends, it's for everyone. Who doesn't love bacon? You love bacon. Your mom loves bacon. Your kids love bacon. You'll all love BarBacon. Be mindful of your veggie friends, they can probably ask for the salad minus the bacon-but they'll be jealous that they care about animals and salivating at your plate. If you're debating going for the chocolate covered bacon, you can skip it. But you'll be remiss if you don't try the sample platter-the jalapeño will have you changing your order and subbing in jalapeño bacon rather than the cheap stuff.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.328571429; Sentiment_Subjectivity (from 0 to 1): 0.457142857 [/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 may have to make this my new go to spot in the area. This place is perfect for a quick bite, or something on the fancier / classier end. You can get your $10 Pad Thai and Pho's or go for some nice Michelin recommended dishes. We did a family style assortment of the spare ribs on sugar cane skewer, curry, red snapper and spring rolls and nothing was disappointing. I can't wait to go back and try more of the michelin dishes!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.261837121; Sentiment_Subjectivity (from 0 to 1): 0.519318182 [/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: We went on a Thursday evening and we were late for our 9pm reservation. Luckily we were still sat within minutes, which was much appreciated! Being late for our reservation, we could not WAIT to eat and were pleasantly surprised with how quickly and tasty the bread was which was served. What we ordered: -Escargot - I dipped the bread in the butter sauce, I wasn't blown away -Steak Tartare- this was delicious! Who knew you didn't need to be a tiger to eat raw meat -Duck Shepherds Pie-the portion looks small, but it is plenty. served VERY warm, but delightful -Balthzar bar steak (vs. Steak frites)- I couldn't figure out what the difference was between the two steak options. The waiter told me the BBS was a smaller portion. Well let me tell you, if that's small, I don't want to see large! I ate maybe half before deciding to take the leftovers home. I wasn't a huge fan of the sauce which accompanied the Steak and the fries did not taste great dipped in the sauce. On to the fries, I have heard people RAVE about these fries, and can honestly say the ones I was served were nothing special....Also, I asked for my meat Medium, it came out bloody. Luckily when I ate the leftovers, the microwave zapped away the blood. -Pavlova- the waiter was nice and put a candle in for our birthday boy. The berries were delectable, but I was not overly impressed with the meringue portion. As always this French restaurant was classy and would not bring over the check until we asked. Always courteous, always filling up our water glasses, great decor, great ambiance. Random thought: There was a bathroom attendant.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.258635215; Sentiment_Subjectivity (from 0 to 1): 0.663911835 [/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: La Lanterna is a beautifully hidden spot.  When you walk into Lanterna you may be greeted by the fantastic jazz players, or simply be surrounded by an indoor garden that may very well take your breath away. As if the intimate ambiance isn't enough to sway you the food is fantastic. When I think of authentic Italian, I don't think of Pasta and Pizza galore, but fresh arugula, mozzarella, freshly baked bread and the works. La Lanterna read my mind and provided just that. If you're looking for a cute date spot, La Lanterna is for you. If you want to share some freshly baked pizzas, La Lanterna is for you. Regardless of what you want, you will be happy with this decision.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.581462585 [/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: Cabana was a really cool Thursday night dinner place. If I had been drinking, I'm pretty sure I would have enjoyed their cocktails as well. I wasn't too sure what I wanted to order here, so my friends and I shared the cod cakes as an app, and then two of us split the paella. The Paella was huge and very filling, but it was slightly bland. My friends salad was an enormous portion with a fair amount of meat on it to fill someone up. Pros -huge portions Cons -music is too loud, hard to carry a conversation -seating is tight, even though the restaurant is large, you are on top of other parties; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.226610644; Sentiment_Subjectivity (from 0 to 1): 0.693650794 [/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: Monday night, after it stopped raining but still cloudy out and there was an 1.5 hour wait for two. Luckily we got sat in a minute because we sat at the bar... worth it! We ordered the lamb kofte in tomato sauce,classic beef sandwich, and a carafe of chiante-our total $32. Perfect amount of food that leaves you craving desert but not starving. The lamb was supple and delightful, it may have been better plain with no sauce. The sandwich was huge and came with a side salad. Pros: -you get to write on the menu when you order -meatballs any way you like -cheap -beer and wine -great area Cons: -small/intimate setting -always a long line -shared long tables among random people; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307234432; Sentiment_Subjectivity (from 0 to 1): 0.63003663 [/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: Ah, the hidden gem that makes you walk through a door wondering "is this the place?" On a brisk Tuesday evening, we stumbled into here with a gaggle of 30 plus people, quickly making the bar tenders realize they were in for an unexpected work overload, but more tips for them! My friends parents got the first round leading the staff to be especially generous. This was followed by many plates of complimentary nachos & mozzarella wings, hey it was a Tuesday and we brought the bar to LIFE.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.193518519; Sentiment_Subjectivity (from 0 to 1): 0.562962963 [/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 fun night out in Brooklyn! All the waiters were really helpful and the menu had plenty to choose. The backyard dining was a hidden oasis, just be mindful of neighbors turning on their A/C The portions were enormous and we had appetizers, needless to say we were stuffed to the brim. The Mango salad, Salmon over drunken noodles, and the pad Thai were all cooked to perfection. We could have done without the shrimp and Avocado rolls, but at least we tried them. Song's got their liquor license and even claim to have some local brews on tap. Come here to enjoy yourself, sit back and relax and enjoy the Thai food!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.050833333; Sentiment_Subjectivity (from 0 to 1): 0.403333333 [/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: Loved it! I wish I loved whiskey as much as I loved this bar, because I would have been trying all their concoctions. Unfortunately I'm not a whiskey gal, so I stuck to the beer (nothing on draft, sorry fellas). This is a great bar to catch up with a friend or go on a date. The first thing my friend and I said to one another was, "Wow, this place is well lit." That being said, don't bring someone that you don't want to look at or be seen with in public. Warning-this place closes shop early. Don't plan a rowdy evening here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3275; 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: This was such a cute bar. I absolutely adored the decor and the sporadically placed old people enjoying a fine meal before the theater mixed in with us happy hour folk. Every which way you turn your head you will find a new stunning art piece and interesting outlay of the bar. I have a feeling the bathrooms here would be pristine, but I didn't have a chance to check them out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.332093664; Sentiment_Subjectivity (from 0 to 1): 0.62768595 [/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: Sometimes it takes me a while to get on the bandwagon, and soup dumplings was where I was late to the game. Who knew that I could eat dumplings and soup together without having the dumpling sit in broth? When you are finally seated at your table, the waiter will come over and ask if you want crab, pork or both. Try them both, but eat them while they're still hot. The dumplings are fairly filling, but we felt as if we needed some more food and opted for the Shrimp Lo Mein. The Lo Mein tasted just like any other greasy fast food chinese place, but the dumplings were worth the wait. Coming to Joe's Shanghai is definitely an experience worth having. You will have the chance to share your table with strangers, some of which are pounding back their beers and others who claim to be foodies. Bottom line: If you're not getting the soup dumplings, don't bother; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.109615385; Sentiment_Subjectivity (from 0 to 1): 0.455769231 [/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 Monkeys is a good enough distance away from Times Square to weed out the tourists, but alas we found some visitors here... Coming from the Mean Fiddler this was a pleasant experience. The men didn't overtly rate women like a piece of meat, the outfit choices were significantly better, & the clientele was not as sleezy. Now mind you, everything was being compared to the Mean Fiddler, & it wasn't too hard to beat. Not too many people were here on a Saturday night around 1, and they closed up shop early. The upstairs is cool & their is a nice patio, but we were joined by all of 6 other people. Why was the upstairs even open? Would I go back? Maybe if there was a raging crowd here, otherwise I'd find something else.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.121354167; Sentiment_Subjectivity (from 0 to 1): 0.556770833 [/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: They make a mean cocktail at North End Grill where both your head and wallet will be feeling a bit lighter after only one. North end does offer some great 50% off happy hour specials to local employees, so be sure to ask. As for my favorite, I'd have to go with the Blueberry Mojito. It could stand to be sweetened down a bit, but otherwise it was delicious.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.347993827; Sentiment_Subjectivity (from 0 to 1): 0.735030864 [/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: La Pulperia is a hidden gem and I am so glad we went there! On a Tuesday night there weren't a lot of people at all, so we were quickly seated. The sangria was delicious and the waiter was very kind in accommodating us to only a half pitcher, which was more than plenty. I am still thinking about how good the scallop ceviche was and how I want more! We decided to share the whole fish, and got it fried. It was really good, but I wasn't a huge fan of the sauce, but loved the apples that were on top, it added a great touch! I definitely plan to come back. cute place for date night!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.439736842; Sentiment_Subjectivity (from 0 to 1): 0.634210526 [/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: We were having such a hard time just finding a place to walk into for dinner in the area. We were avoiding the Chinese and Indian on Lexington and realized that Park Ave Tavern was close. American (Traditional)-solid choice when you're with your visiting friends. Surprisingly busy at 7:30pm, this place is definitely for the happy hour crowd commuting out of Grand Central, with that being said, we were seated and served immediately. Our beers were icy cold, the mussels were some of the best my friend had ever eaten & my crab cakes were deliciously fresh & mouthwatering. I would come back for happy hour or dinner!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.180555556; Sentiment_Subjectivity (from 0 to 1): 0.466111111 [/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 St. Mark's Challenge continues! As we embark upon 2014 I am making it my duty to eat at more St. Mark's establishments, and avoid going to the same ones over and over. I was happy about the eclectic menu at Cafe Orlin, and was easily satisfied with their offerings after powering through a CYC spin class down the road. Cafe Orlin is definitely more of a lunch spot since so many of their options are sandwiches, but they were all tasty and they offer you enough wine to make it a dinner spot.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.330555556; Sentiment_Subjectivity (from 0 to 1): 0.551736111 [/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 Num Pang in Chelsea may be larger, but this one has got more character. Don't be intimidated by the intimacy at the front door, grab your food, make sure no one is coming down the stairs, and grab a seat upstairs to enjoy your Cambodian sandwich. What's so special about these sandwiches? I think there's a big emphasis on pickled veggies which is a delightful twist. The Ginger brisket was rocking, and I'm looking forward to trying the meatballs. If you're veggie, you may want to stick with Cauliflower or the spicy tofu sandwich.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.325198413; Sentiment_Subjectivity (from 0 to 1): 0.543650794 [/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'd like to make this a 3.5, but since the appetizers were no where near qualifying enough for a full meal, i'll round down. From Mediterranean descent I'd say the food was 75% authentic. Nothing was mind blowing, and I was disappointed that my salad which mentioned "sardines" came with one.... that doesn't qualify as plural. I've walked by a few times and there was a long wait on a Thursday, but late night weeknight seemed to be relatively empty. lots of seating with the basement.  Seems like a good place to go with a group of pals who want to rekindle and drink Ouzo! FYI: Do not expect to get an appetizer as an entree, it will not suffice.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.005787037; Sentiment_Subjectivity (from 0 to 1): 0.486574074 [/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 feel really bad writing this poorly rated review for my local joint. My dad and I wanted to grab a bite post play, and he had seen Turco from across my apartment earlier in the night and got excited at the prospect of Turkish... (what's up with the Turks always wanting more Turkish food?) I gave my dad the basic run down, expect street meat at this place, but at least we can sit on this wet and windy night. Seriously, no redeeming qualities here. 1 "large" Cobb Salad & 1 Chicken over Rice. Total, $18. WAIT WHAT?! There are no prices anywhere, nor is there a menu. You just kind of point and choose. I also do not think the premium on sitting down should be this high. My street meat guy at 45 & 10th is $5 and good. So why did we venture here? As for the food, sub par. The chicken was lackluster, the bulgar flavorless, and the salad tasted old and oily with no healthiness to it. I won't be coming back. Sorry but I'm not sorry.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.037470669; Sentiment_Subjectivity (from 0 to 1): 0.536435473 [/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: Filipino food you say, well what is that? The hidden gem of Asia, the treasure which no one has discovered yet. As I was sitting at the bar chit chatting with the bartender, I quickly texted my friend who was in the PeaceCorps in the Philippines asking her what she suggested. Just like the bartender said, my friend said go for Sisig or Adobo. Though the Sisig looked good, I had to pass since I'm not a Pork fan, Lamb Adobo was the clear winner! I wish I could remember the starch that came with my meat, it was like a mashed potato with a sweet coconut taste, and it was amazing. The servers were all kind and accommodated easily even though one member of our party was nearly 30 minutes late. BONUS: Rather than bread and butter as a table snack, you get fried chicken skins with vinegar..... who would have thought? CASH ONLY; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.18125; Sentiment_Subjectivity (from 0 to 1): 0.670833333 [/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: Waitresses were pretty competent when it came to talking about the beers. Plus they had accents! Average beer was $8, and the range was about $7-9. Pretty large bar, mostly for sitting, but with nice long tables. Awkward seating at some tables were there was a giant barrel holing the table up.... where do I put my legs?! Typical After work bar, minus the specials. The menu noted one special, sampler: 4 4oz beers, $10. Special, maybe. Cheaper, no. Mixed crowd of young professionals and the elder. Would I recommend this place? Yeah, I'd come back. But only after work....; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.121494709; Sentiment_Subjectivity (from 0 to 1): 0.599338624 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to mention I was in a great mood when I walked into this restaurant. I had just decided on which apartment I would be making a bid for, and nothing could really knock me down, even the pitiful service at this establishment. I walked in and stood there confused. Do I walk to the back, do I sit at a table, or eat at the bar? (I now understand why some places have signs that say "Hostess will seat you") For a late, 3pm lunch on a Friday, I was shocked at how many people were eating here. This may be to their advantage, why would you have more than one waitress at that time? But alas, our service was slow. Our waitress was SO cold, I shivered being near here. Generally an accent bumps you up, but my gosh. My friend ordered the bacon cheeseburger and I ordered the wings. Waitress would not answer how many came in a plate.... When I got them, the "hot sauce" was legitimately Marinara sauce with Franks hot sauce in it. SO WEIRD? It did not taste good, I could barely eat it. I thought, huh, she gave me something wrong. So I asked for some additional hot sauce....5 minutes later (I could HAVE FINISHED my plate in that time...) I get the same crappy marinara sauce smothered in hot sauce. WTF?! AND, where's my blue cheese, she gave me like fake ranch. To top it off, I asked for a box. Where is the box? I don't know, but the bus boy never brought it, so finally 5 minutes later the bad waitress gave it to me. And Lastly, when the bill came the prices on the menu didn't match the bill. I'm not arguing over less than $5, but they kept adding fuel to the fire. Random tidbits: there are wood chips scattering the floor.... Why you may ask? to mask the blood for the brawls that occur here often. note: green street hooligans, much?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.039114114; Sentiment_Subjectivity (from 0 to 1): 0.531456456 [/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: Mason Jars everywhere! The menu isn't extensive, but what they do, they do well. The Sweet Potato waffle was one of a kind, and something more places need to start doing. Or I just need to get a recipe and make one myself! You'll be happy you had the sticky bun, until you realize all the miles you need  to run to burn off that little sucker; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.269642857; Sentiment_Subjectivity (from 0 to 1): 0.669047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good bar to meet with a friend after work and catch up.  Not the place you go to meet people.  It's such a tiny spot that you really are either sitting at the bar or a table.   The waiter service was prompt, and you can't complain after having one of their lychee martinis. The space is definitely tight, even if you're sitting, the next door table is on top of you. With that said the waiters were constantly asking us if we needed something else so we didn't need to venture to the bar. The bathroom smelled horrible, as if a homeless man had been living in there and pissing in a glass jar in the corner.  It definitely was not from a previous user, just a general odor. All in all good experience, but you have to tailor it to what you want from the night.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.061904762; Sentiment_Subjectivity (from 0 to 1): 0.437362637 [/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: Uva is low key and classy all at the same time. The bar area is nice for a quick drink or appetizer as you wait for your table to be ready, plus brick surrounding you makes it feel that much more rustic. I loved the ambiance; the servers and food made it that much better. We started with our bottles of wine and a little antipasto misto to satisfy our cravings as our table was prepared. The two dishes that really left me wanting to come back was the Polpettine di Vitello and the Brodetto di Pesce. These little veal meatballs packed a punch and totally gave us our money's worth of food Then one of our friends was raving about the most authentic Italian dish one could have and I was staring at him baffled thinking I've never had that! Lucky for us, at Uva they had their own variation and it turned out wonderfully with so much flavor and tons of seafood.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.260507246; Sentiment_Subjectivity (from 0 to 1): 0.532971014 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You can't go wrong with a Happy Hour that lasts until 8, $5 wines! Great neighborhood bar!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.883333333 [/INST] Not Spam</s>