Datasets:

syannn

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spammer

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A rating of 5 stars is almost insulting to Benares. The food here is, consistently, nothing short of greatness. The drinks are potent and so reasonably priced that you'd think that upon walking through the door you somehow left Manhattan and found your own little slice of Heaven. The service is impeccable; the managers and the staff make a legitimate effort to get to know you and are extremely accommodating. Not once have I been disappointed with anything I've ordered here. Some of my favorites include the Lamb Saag, the Chicken Korma, and the Baingan Bharta (I don't normally like eggplant, and I'm not a vegetarian, but this curry is awesome). Beware, if you have a poor spice tolerance, stick with the mild curries...this place doesn't hold back. Oh, and don't go to the Midtown location. It pales in comparison to its younger, hipper, Tribeca sibling.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.040046296; 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: Yummy.  The lunch special was inexpensive and delicious.  The place is classy and clean.   I can't wait to come back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.364761905; Sentiment_Subjectivity (from 0 to 1): 0.634285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is pretty good, but expensive for the portion size and quality. I received a spicy dish even when I asked for mild and confirmed with the waiter. You can hear every other table's conversations because the acoustics are so bad. The service was fine, but there are so many great places around here that I don't see a compelling reason to return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215909091; Sentiment_Subjectivity (from 0 to 1): 0.653787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been to this place before but this review is based on my last visit alone. All the dishes that we ordered were not fresh and seemed as if they were frozen. The quality of food has been going down since my past visits.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.138888889; Sentiment_Subjectivity (from 0 to 1): 0.276388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great service and a trendy ambiance for a date night in fidi. If you're ever in the area and crave Indian, then this is a must go. The chicken tikka masala wasn't dry and had the right amount of kick to it. The saag paneer was flavorful with the perfect creamy consistency. We ended our meal with the pistachio kulfi, a light dessert to top it off. I'm definitely coming back again and all the way from the UES.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.291904762; Sentiment_Subjectivity (from 0 to 1): 0.643571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is good, not excellent.  Worth a revisit only if in the area.  The prices are greater than they should be, though the portions are large.  Nice atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.259183673; Sentiment_Subjectivity (from 0 to 1): 0.66122449 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took my mom and sister here. This was some of the best Indian food I've had. The Chili Chicken was especially delicious. I do not know if we were there at an awkward time for dinner, but the restaurant was not crowded at all. In fact, it was pretty empty. I would definitely come here again and would recommend it. Also, the price was very reasonable given the location.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15125; Sentiment_Subjectivity (from 0 to 1): 0.75375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to come to Benares but I won't be any more.  I was by myself and the hostess set a group of 2 before me even though I was there first.  When I raise this issue, she told me that another table is opening up quickly and it won't make any difference.  So I didn't care.  Then another group of two showed up and she requested that I seat at the bar instead.  I left instead.  This whole experience left a really bad taste in my mouth.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.083333333; Sentiment_Subjectivity (from 0 to 1): 0.342857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 where do I begin. This Place is AMAZEBALLS!!! Okay first off this place is right down the block from my boyfriends job I'm madd we haven't discovered this place earlier. When we walked in we stood at the front desk to be seated which took 5 seconds. When we got to our table we sat down and noticed that the place was completly dark and candles were everywhere. VERY SEXY!!!! There was a candle on our table which  made the night romantic. Funny because we didn't even plan to have a romantic night we was just HUNGRY and needed a quick stop to eat. The waiter bought a dish out with 3 dipping sauce. We didn't know what it was until we tasted it and it appeared to be onion rings lol. We then looked at our menus and decided to order the LAMB SAGG (Tender pieces of Lamb sauteed with fresh spinach enhanced with spices)   This is when the magic began. The spinach was soooooo creamy and tasty! I never had spinach with so much flavor! Then hidden was cubes of Lamb which melted in your mouth. I swear bitting into the lamb I heard soft whispers of BAAAAAAAAH lol I guess the waiters knew we were enjoying this delicious meal because they came around twice and asked "is it good?"with smiles on there faces. I guess they had a clue because every time we took a bite we sung UUUUUMMM YUMMMMM lol. So after we asked for the check. We just knew that our bill was gonna be crazy high. Bill came is was only $34.00 dollars. YESSSS!!!! We didn't break our pockets. I left a 5 dollar tip and said we will be back soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.265223923; Sentiment_Subjectivity (from 0 to 1): 0.552505669 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YUM! This is Excellent Indian food. And price is surprisingly good too. Ordered Appetizers: Kolhapuri Misal (Excellent!), and Adraki Samosa (lived the side but that came with it), and Main Courses: Lamb Vindaloo (less spicy hot than some places, but Very Flavorful and delicious), Nawabi Subji and a half order of Gobhi Jaipuri (least exciting dish of the bunch, yet good). Cucumber Raita was also a hit. We ordered a couple of other side sauces, and some naan, but didn't eat much of them. I would definitely go there again if I find myself in that neighborhood -wish it was near my home! I'd be a weekly regular :) I'm now back into Indian food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.508873144 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pros:   - Good service, attentive staff.  Healthy portions including appetizer.   - Overall in comparison to nearby Indian places have found Benares to be very tasty. Cons: - Both dishes we ordered (vindaloo and chick peas) were a little heavy on the black pepper.   - Also the vindaloo although traditionally spicy, was served as "spicy," which we did not request and was tough to enjoy without 4 glasses of water.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.114267677; Sentiment_Subjectivity (from 0 to 1): 0.528787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Benares is truly the total package. The atmosphere is warm, with dim lighting and nice decor. The service is wonderful, everyone was really kind and attentive throughout the entire experience. The food was also really great. I ordered the Salmon Tikka which was cooked to absolute perfection. I don't think I've ever had salmon that was that wonderful, and I look forward to trying it again. For dessert, I had the Atom Bomb, a chocolate lava cake with rose ice cream. It was as tasty as it sounds. The only reason that Benares gets 4 stars instead of 5 is because our water glasses were rarely refilled and the naan we ordered never came out. Even with that the Salmon Tikka was so good that I'm willing to let both of these go and come back to Benares for round deux.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.386111111; Sentiment_Subjectivity (from 0 to 1): 0.751388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just had the lunch special. Must say it was deliciious and reasonably priced. Great variety of sauces to accompany the before lunch munchies which were a honeycomb cracker that absorbed the sauces. Extremely ample portions for a lunch. I will go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.255357143; Sentiment_Subjectivity (from 0 to 1): 0.636904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! I order them for delivery often and their food is always consistent, arrives quick and is delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.645833333; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap Indian food; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was a quiet Saturday night and our party of four was allowed to eat and talk from 6:30 to almost 10 with no unnecessary interuptions. The food was excellent--I specifically recommend the fried cauliflower appetizer and the crab curry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wife and I have dinner here once a week. IT is never a disappointment. The experience gets better and better every time we go. The staff is wonderful and adheres to every need.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here last night for dinner for the first time and was impressed. Decor was elegant, not that romantic, but still tastefully done. Though I am a vegetarian, I am going to convey the praise for the 'kozhi-rasam', an hot soup with chicken found in the appetizer section.  Both of my meat-eating companions loved it.   'Rasam' is a liquid south Indian dish (think watery soup with tomatoes but having a  sharp taste due to to various spices) that is usually had with rice in India.  This 'rasam', which can also be had by itself as a hot soup, however was more like a 'kozhambu', a thicker tamarind based dish (not 'sambhar') that's has its own uniqueness and delivers strong taste due to its consistency and the way it's coooked and seasoned.  The 'kozhambu' makes an excellent pairing with bland food like spinach and other greens and is  usually is served ahead of the 'rasam' in the south Indian meals.  But I digress (see how the very thought of it can make me write!). Apparently this 'kozhi rasam' was so wonderful and will be fantastic with dosas and iddlis (all south Indian items) or just plain rice.  They were all praise for it and wanted to come back just to have that as the main food. They also loved the goat in the entree section. As for me, I wasn't that impressed with the Kashmiri tikka that I tried for appetizer.  The beet for some reason dry and wasn't that nice as the ones that 'Moksha' (which was on the other side of Murray a few years ago but had unfortunately closed) served.  Similar experience with the 'Nawabi Sabji', that was sounded nice - fresh veggies with special gravy and a cardomom flavor.  Veggies were fresh no doubt but the gravy was ok and no hint of cardomom.   The bread basket was wonderful and the waiter knew that I liked the Rosemary naan and so substituted the regular naan with the Rosemary one in that bread basket.  Nice service!  The parathas and naan in the basket were very nice. The table snacks wasn't the usual pappad but a different variety and was yummy.  The yellow sauce (tasted more like the Indian pickle) was great - not that spicy, had a pleasant tanginess.  We finished two plates of that fried stuff! We tried the rasamali for dessert and it was very good. The praise of my companions was enough for me to want and try the other items - like the dum aloo and the malai kofta.  I think the latter is in the lunch menu (btw, an attractively priced option) and I will certainly have to try it. Overall impressed and will share my thoughts the next time I go there. If you like North Indian food, highly recommend giving this place a try! :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28250744; Sentiment_Subjectivity (from 0 to 1): 0.577165465 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch period :) this place has great staff, warn staff and equally simple but effective Indian food. Right portion for lunch that has dal, roti and desert inclusive.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.530952381; Sentiment_Subjectivity (from 0 to 1): 0.74047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very enjoyable dinner.  The lamb in my Rogan Josh was tender. The spice flavor was excellent.  Good service.  Garlic naan was only average.  I had the same dinner last week in Arlington, Va.  This was much better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.558958333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best Indian restaurants I've been to. Everything we had was delicious. It pleased everyone from my vegetarian father to my carnivorous husband to my picky one year old. Our server was very nice and helpful and made our dining experience (especially with a toddler) very pleasant. We will be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.541666667; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Vegetarian food is just so blend. Some of the non veg dish like Goan Fish was slightly sweet. Paneer tikka was not at all good. It was as if Paneer was dipped in butter and then cooked on a pan. No good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: IMO, this is the best indian restaurant in the area.  Portions are on the larger side: for dine-in, one main course is more than enough.  The $15.95 take-out special is a great deal, but menu options are more limited.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.361375661; Sentiment_Subjectivity (from 0 to 1): 0.455291005 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Having ancestors from Varanasi was just one of the reasons my family and I chose to eat at Benares last week on our trip to New York. The décor was very modern and the bar was well set. Even the bathrooms were decorated nicely! The food, of course, was delicious. There was a wide variety of vegetarian and non-vegetarian food available, which my family tried and really enjoyed. Someone from India or even a first generation Desi would really enjoy Benares' food especially if they were missing their mother's cooking; however, for an American trying Indian food for the first time or who has tried Indian food at another restaurant may not be able to adjust to the spice or the taste of Indian food. Every Indian restaurant changes their menu to attract more diverse customers and not just Indians. So an American who has tried Indian food at another restaurant may not enjoy Benares as much as any other Indian restaurant they have tried. Though this reason also brings more Indian customers and makes one to appreciate the authenticity and consideration Benares has for Indian cooking. As a first generation Indian, I would rate Benares a 5 star INDIAN restaurant, but as an American, I would rate it a 4 star restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.229189723; Sentiment_Subjectivity (from 0 to 1): 0.420052701 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am a definite Indian food snob and their food was delicious and prepared in an authentic manner. We had the shrimp and cauliflower appetizer and for main course the very traditional saag paneer but then a fusion dish - chili chicken. It tasted homemade. They accommodated our preferred spice level and were really nice with our daughter (who is 4) as well. I am definitely coming back here!  Glad to have a good Indian joint in the hood!  Finally!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.253472222; Sentiment_Subjectivity (from 0 to 1): 0.717361111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wish I could give this restaurant 4 or 5 stars because my first experience with them was superb. I ordered it on Seamless, the food arrived right on time or perhaps 5 minutes earlier than predicted, and the food was/is DELICIOUS. My only complaint on taste would be that my Aloo Gobi had a bit too much garlic. I definitely consider myself an Indian food "connoisseur" or at least an avid fan, eating it several times a week. The food in itself is very authentic and quite tasty. However, the second time I ordered food was unfortunately much worse. I had a guest in town, it was a late night and last minute decision, and I am mostly disappointed because I prefaced the order to my friend with high regards. The food came about 20 minutes late, but it was still just as delicious as it was the first time. I didn't notice until the next day because I was upset over the tardiness that they completely missed the dessert I ordered. I even checked my receipt to make sure I added the Gulab Jamun to my order and indeed, I paid about $7 for it and it WAS NEVER INCLUDED. Maybe it's "my problem" because I didn't call back the next day to allow them to remedy their mistake, but fuck it, they shouldn't be forgetting an entire item I paid for AND be late. The 3 stars is only for my first experience and because the food tastes good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.107226891; Sentiment_Subjectivity (from 0 to 1): 0.508272642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 high expectations when I ordered takeout from Benares, given all the positive reviews, but it was a disappointing experience. Firstly, the food arrived over 75 minutes after I'd ordered. That is an awfully long time to wait for dinner! I called the restaurant about an hour after placing the order and was told that my "food was on its way". Now, the restaurant is about a 10 minute walk at best from my apartment. About 70 minutes after I'd ordered, and with no food, I called again. By this point, hunger had gotten the best of us and I was not even particularly interested in this food.The manager was pleasant enough, but rushed and promised to "make it up to me".  He asked me to call the following day, then quickly followed it up with an offer to call me back. He said he couldn't give me a discount or a refund since I had placed the order through Seamless. That was about three days ago....I am still waiting for him to call. Needless to say, I will not be ordering from here again. Which is a pity, because I think the neighborhood could have used a good Indian restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.205378788; Sentiment_Subjectivity (from 0 to 1): 0.446203209 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ordered from here via grubhub and the food was great! I love indian food especially when it is done right!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.464285714; Sentiment_Subjectivity (from 0 to 1): 0.721428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so pleased with our dining experience, that if I ever return to NYC, I'm returning here as well.  The atmosphere was wonderful, and the service impeccable.  The staff went out of their way to make it a pleasant experience. When I asked what they had on the menu that they thought would be similar to my favorite dish (which was not on the menu), they volunteered to make my favorite dish instead. My husband and I love Indian food, and this was some of the best we have eaten.  I would highly recommend Benares.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.564333333; Sentiment_Subjectivity (from 0 to 1): 0.755666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Modern. Service and food was very good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stopped in on Sunday 12/23/12  for happy hour. This 3 week young restaurant was practically empty, so we weren't sure whether it was worthwhile. The decor was contemporary and beautiful and the bar had a hip vibe. Wines and drinks were 2 for 1 and super reasonable, not like your typical NY prices. Any drink could be had but the menu contained several signature drinks with exotic ingredients like tamarind. Some Indian crackers were served gratis. Service was very attentive and each server was more handsome (Omar Sharifish) than the next! I stopped in on the way back to our hotel the following day but in addition to the wonderful malbec for happy hour, I also ordered an appetizer of mixed pakora from the bar, a potpourri of delicately fried vegetables including, eggplant, sweet potato, spinach, plantain and a large long hot pepper that was so good and hot!!! Several sauces for dipping accompanied. Unlike the previous day, I noticed the inviting, perfectly lit dining room was quickly filling up with customers.  Whew! That was a relief;  I want to return to this restaurant next year.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.300178797; Sentiment_Subjectivity (from 0 to 1): 0.558104858 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Loved this place. Everything was great. The server was knowledgable and made great recommendations. The food was the absolute best Indian food I've ever eaten. This is a must visit place try the chicken Raang.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.741666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reasonably priced Indian exceeds all other Indian food in the neighborhood (by any measure). I've ordered take out 4 times so far and its been consistent quality and great every time. Naan arrives hot and delicious in insulated bag (not just foil wrapped). Take out Prixe Fixe Special is a great deal and has all components of a full meal--includes appetizer, main entree, rice and naan. Extra sauces included on the side make the meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.345734127; Sentiment_Subjectivity (from 0 to 1): 0.594146825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Indian food I've had in quite a while. Definitely a good addition to dining options in Tribeca. JR; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.85; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ambiance- Very very boring. You have to walk into a man cave to get through to this place that doesnt have much appeal. Trying to go for fine dining but really looks more  like fine atrocious. The bar is decent looking but really not something to rave about since everything else showed us what this place was about! Apps- Ordered the Karwari Jhinga- prawns - quite rubbery the presentation was not bad but the taste we could tell it was just defrosted and thrown on the pan as they claim on the menu, needs more ginger for sure! Def not worth the price either. We also ordered the Kakori kebab, this is suppose to be a dish which is absolutely so soft that it melts without chewing, did not remind me of my trip to India and the amazing kebabs we had there! Bhel puri was pretty much standard it's pretty hard to mess that one up. Honestly like bhel puri in curry hill for the price and the portions! Main course- Kadai Goat - I am a huge goat fan but this goat was just way over cooked. Goat is that type of meat that slides of the bone, unfortunately this was sort of "steaky" . ALSO ordered the lamb chops! That was the biggest failure to our table, we have had better lamb chops at the corner place taste of tandoor. For the price they are charging it was really lacking quality or flavor. The quality of the meat seemed old and it's a brand new place we could tell that much. Really liked the breads as they came out hot and fresh. Service- Not bad but need to be trained a little more on what goes in to the dishes. Drinks NOT worth the price. For this place the food, ambiance get a zero. Service, we would give them a star, since they weren't that bad but could quite honestly for the price we paid and what we got unfortunately will give this new place 0 stars. You want to survive in the financial district make sure your prices match the product your serving! Stick to Tamarind TriBeCa if you want some quality Indian food that is worth the price. This place seems like a knock off that meets not even merely half way!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.125232438; Sentiment_Subjectivity (from 0 to 1): 0.540231864 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Last Monday night was my first outing after having major surgery....total hysterectomy. My first suggestion was that I wanted to go to here and have this wonderful BBQ that everyone was talking about. It was a Monday night, 9pm...about 5 couples sitting at those tiny chairs that they have for two people. Knowing that it was empty and it was uncomfortable for me to sit on those two hard metal chairs (I would have had to squeeze between other patrons). I asked the waiter if we can have a booth because it was uncomfortable for me to sit on those seats. He said "NO...we are waiting for a possible party of 4". THERE WERE 4 EMPTY BOOTHS AND IT WAS A MONDAY NIGHT APPROXIMATELY 9PM! We said I couldn't sit there and he didn't bother to accommodate me. Now don't get me wrong, I understand their rules but come on it was a Monday night, late and no parties of 4 or 5 or even 2 were going to enter this place at that point. The waiter didn't even try to stop us from leaving. I was furious, I called and explain the situation to the person who picked up the phone after being on hold for almost 10 minutes but I had to give them a piece of my mind. He had nothing to say but say "sorry". Good customer service would have been to tell us to come back and accommodate me just this one time. They lost two good customer and great tippers. My boyfriend and I are in the hospitality business so we know what its like to work for tips so we are always generous. They need to improve on their customer service!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.025992063; Sentiment_Subjectivity (from 0 to 1): 0.604761905 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If You Like HYPE, then you've come to the right place. Unfortunately  the food speaks for itself and tells a different story: Overpriced, dry, lumps of meat plus bad service to boot. How it works: Line up at the counter and move down the line to get your meat then grab a seat along the other side against the wall. Decor is bare-bones so at least you don't need to dress up. Shovel the meat down and move on cause people will be waiting for yout able. Oh, and the service is less than bare bones (I guess the wait staff isn't eating at Delaney). Spoiler: on Fridays-Sunday they let the people who "supported them" in early at 6:00pm. So by the time they officially open at 6:30pm the tables are already full and you will be waiting outside in the cold. But this is Williamsburg and there's actually tastier places you can go for your meat fix. If the hype still has it's hold on you and you muuust....gooo---toooo--Deee--lllaaaa--neeey bbquuuu (in zombie voice) then I hear the Walking Dead is always looking for extras.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.088617377; Sentiment_Subjectivity (from 0 to 1): 0.444569758 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is great! But the staff is hard and cold. The first time I went to the place, the owner wasn't friendly. OK, we all have bad days. But when the staff is the same,  you think twice. Then I took my family, same attitude. Never again! I really feel sad for them, that they have to follow such a rude and unfriendly boss. I don't know why he is such unfriendly person. I work in the event biz and relations is everything. You can have great food, but bad attitude will kill. Sorry Brisket Town! Good food, but poor, poor attitude; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.034583333; Sentiment_Subjectivity (from 0 to 1): 0.577916667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Too many hipsters & low information Owebama voter types here. Even the owner doesnt have the decency to look nice but rather looks like a slob; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I wanted to flat out say this place sucked, in all honesty it wasn't bad but it wasn't good either. First and foremost they don't have a sign outside .. I walked past it almost twice if I didn't see the sign on the inside out of the corner of my eye i would've never found it. The other thing is the place is really small you get placed to sit and your 3 inches from touching elbows with the group or couple next to you, you feel like your not only eating with who you came with but everyone in close range. The food wasn't bad .... it just wasn't what I thought it'd be considering the hype surrounding it in the reviews and prices. ( I mean seriously, $14 for Mac and cheese?). The ribs hardly any had meat, they fell right off the bone but doesn't count for much considering how dry it was. The brisket which apparently they're known for and what I was looking most forward to was soggy and in my opinion bland. The sausage was my least favorite it had a very weird taste, I tried to pass it off to my girlfriend but she wouldn't take it either. The turkey and pulled pork were the most decent meat they served that night. I got the Mac and cheese and collard greens and it honestly was another disappointment, the Mac and cheese was good I'm usually not into the whole cheese sauce thing but it was good just not good enough for 14 dollars, the collard greens had way too much steam and vinegar, hardly no leaf and very sour. Idk what it is with this place but they either over season or under season the food. On the pulse side the service was really good, the guy serving us was great which did a lot considering we weren't pleased with much else. We wanted to to get a to go box and that's literally what we got... a cardboard box. Not gonna lie I wondered if that was it or were there going to bring containers to put the food into than in the box buuuutttt I was wrong. Collard greens, Mac and cheese and pork alI mixed together by the time I made it home. All and all I concluded I get 10x better dry rub BBQ at a cook out than I'll ever get at brisket town. I feel if they focused less on being trendy and more on the food I'd be more impressed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.111480952; Sentiment_Subjectivity (from 0 to 1): 0.526730952 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Briskett was outstanding, the ribs, only so-so. I love dry rub, but theirs is quite bland. Properly cooked and good cuts of pork with little gristle, though. The staff is lovely, the ambience zero. The place is tiny, and so crammed with tables that had the place been full, you would have literally been elbow to elbow with your fellow diners, and to get out, the table would have to be pulled out to allow egress. It was a little pricey as well. Soon, as people have said, there will be a line here, but I won't be in that number, I can't imagine ever going there to eat again, but would consider them for takeout.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161805556; Sentiment_Subjectivity (from 0 to 1): 0.617361111 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My experience was good but not exceptional. If food and only food is your thing, then you'll probably give this place an honest four stars. The peppery bark, as someone put it,  gives it a good kick. The fatty cut left just enough juice to negate the desire for a sauce and left just enough to be absorbed by the white bread.  SOLID. The service was alright.  Maybe once all the hype dies down, prices slim a bit ( You already knew a :[ was coming with that $20 a LB price), and they get a booze. It might be a "go-to 'move' ". Until then, I see it being an occasional delicacy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.044771242; Sentiment_Subjectivity (from 0 to 1): 0.494934641 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great ribs and pulled pork and decent brisket.  Probably the best ribs I've eaten in a restaurant.  Service is good.  Wine list is as poor as the food is good.  They're missing a trick on that one.  We would have drunk much more wine if we'd been able to find a decent bottle.   Homemade pies for dessert were also very good. I'd definitely go back - as would every member of our party of seven. David G; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.334102564; Sentiment_Subjectivity (from 0 to 1): 0.549102564 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you are looking for a mountain of smokey, no-fuss meat deliciousness, this is your place. (As long as you are organized enough to book your brisket weeks/ months in advance.) 6 of us went on an early Sat evening, just before 6PM to make it in time for $3 beer happy hour (mostly a Texan beer selection- perhaps more authentic, but not a good thing), and had the place to ourselves. Brisket, pork ribs, and beef short ribs were the options for the night (all meat is cooked off-site, and brought to Delaney for slicing and serving), along with 6 or 7 sides. We ordered 2 lbs of fatty brisket (you can also get lean, depends on the cut), 3 lbs of pork ribs, 2 potato salads, 1 brisket chili, and 1 collard greens.  Unlimited delicious sliced potato bread, pickles, raw onions, and hot sauce were on hand to wrap up hunks of succulent, dripping brisket. Truly the best brisket we had ever had, and yes, you want the fatty brisket, with its dark black outer char and coffee, peppery rub. Large, meaty pork ribs were also delicious. And the sides are not to be missed: creamy, celery salt-flavored, half mashed, half chunky potato salad, awesome collard greens, and spicy all meat Texas brisket chili. Divided up, it came out to about 2-3 ribs  plus a full cross slice+ of brisket per person. Could have used maybe one more side (I wish they had coleslaw!). Somehow, we still had room for a taste of pie: shared 1 slice each of coconut cream, peach + berry, and chocolate. Meh except for the coconut. YUM Thank BOG we walked across Williamsburg bridge before and after the meal to digest that filling feast. Definitely GOOD BBQ. That said, I am not sure I will crave BrisketTown the way I crave Dinosaur BBQ chicken wings. I love smoke, but I am definitely a saucey girl at heart.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.206726338; Sentiment_Subjectivity (from 0 to 1): 0.546634369 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BT receives a full 5star review even thought they have gone "all fancy-smancy" with waiter service. The self-serve worked just fine for me.  Mark was cool and he resembles the character Lt.Dangle from Reno 911, so I guess it will grow on me.  You do what you have to do to enjoy the bona fide best brisket in all of NYC. Two buddies had never been to BT and one had (with me in 2013). They were utterly floored.  On several occasions this crew has canvased LIC and Astoria for BBQ. BristketTown was the ace up my sleeve.  They could not believe the brisket could be so moist and  tender - but still have the right amount of char on the end and smokiness.  They each enjoyed their side dish, as well as the quality of the pickled accompaniments that came with the platter.  I skipped on the sides -   a slice of potato bread and a cold-one are enough for me. We will all be back, though I suspect my buds will tell other people - dang!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262177579; Sentiment_Subjectivity (from 0 to 1): 0.467559524 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent find, brisket, out of this world. Small restaurant, definitely make a reservation. We will be back. Good value for quality of the food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brisket is great and so are the pickles! Don't come here looking for sauce, since it's all dry rub, but the BBQ is great all the same. Nice, quiet atmosphere, great service, and the pecan pie is good too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.479166667; Sentiment_Subjectivity (from 0 to 1): 0.613541667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My son and I were in town for the Yankees/Red Sox game.  We love BBQ and we love to visit  out of the way local places.  This is the best BBQ I've ever had bar none.  We had the brisket, ribs, potato salad and mac and cheese.  All excellent. Our waiter was very friendly and made excellent suggestions. Next time I'm in NYC, will definitely go out of my way to eat here again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.40875; Sentiment_Subjectivity (from 0 to 1): 0.505 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW!! The font door was impressive , when I opened door good music good vibe cozy place, walked up to carver , very helpful on helping me with ordering .sat down started eating brisket was like none I've ever tasted it just melted in my mouth (fabulous) sides where excellent had salad wedge w/ blue cheese dressing and collard greens ( fabulous ) with a couple of glass old school bottled cokes awesome .. To top it off finished with baked goods (pies where great ) awesome awesome awesome !!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.533371914; Sentiment_Subjectivity (from 0 to 1): 0.727160494 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: absolutely delicious !!! It was everything I hoped it would be the ribs the brisket the potato salad , the wedge salad down to the homemade pie.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.422222222; Sentiment_Subjectivity (from 0 to 1): 0.644444444 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place! The brisket is amazing; tender with the tastiest pepper rub. The sides are great too. The first time I visited, I had the German potato salad and the second time, I had the coleslaw. Even though the brisket is my favorite, the ribs are outstanding as well. The atmosphere is very cool; dim, exposed brick - often accompanied by live music. The staff is very friendly. The last group I was with is well-versed in BBQ and they agreed that this is the best they have had. While I am not a big eater, one of my friends remarked that they have never seen me eat so much! I highly recommend visiting. Go tonight!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.353366477; Sentiment_Subjectivity (from 0 to 1): 0.4975 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: amazing!! and the staff makes everything even better! i called for info - the lady that answered was super helpful. when i came in, everyone was so friendly! the music was great! i came in for brisket and it is a must eat! the sides are unique and delicious as well. if in brooklyn and hungry - this is it for sure.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.654947917; Sentiment_Subjectivity (from 0 to 1): 0.775694444 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I disagree with Alex g., Who wrote that he thought it was inappropriate for a employee to have tattoos, wear a tank top, and vintage clothing, while slicing the Brisket. He admits he's never been there, so he assumes that those things indicate unclean food handling. You can't spell assume without the ASS! I just made my third visit to BrisketTown and again, Food was was fantastic, the place is clean, and they have a great and very friendly staff. Alex g. why don't you review the restaurants you've been to?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.446527778; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went there to taste the beef brisket and it is to die for very tasty and soft even my husband who ate the brisket that I brought home stated it is awesome it is really worth the travel.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.4375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The ribs are fantastic and the collard greens are amazing! I wish they did offer sauce on the side for those who want it (I'm very familiar with the Texas style of BBQ and know they frown upon that, but us Yanks like our sauce) but aside from that, no complaints. It's BYOB, so come prepared with a six pack.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.545833333; Sentiment_Subjectivity (from 0 to 1): 0.816666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Like many other BBQ lovers who have traveled throughout the country, I was sure I knew what great brisket was. But my first visit to Delaney BBQ gave me a new perspective on the experience. Descriptions like " succulent" or" melt in your mouth" sort of fit here, but cannot really convey just how delicious and rewarding my meal was. I choose equal portions of fatty and lean cuts, a half pound in total. As I watched the carving of one beautiful steaming brisket, with perfect smoke ring and pepper crusting, I was thinking that my trek to Brooklyn was about to pay off. I chose coleslaw as a side and added few slices of white bread, and found a seat. I lifted my plate to breath in the glorious aroma and began to sense that this was going to be special. My first mouthful gave a rush of flavor that I knew would set a new hallmark for all of my future BBQ life. I love this brisket and Delaney BBQ is a great place to enjoy it. The restaurant is casual, comfortable and charming, and the staff genuinely conveys your that you are very welcome here. Put Delaney BBQ on your gotta-do list, right at the top.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33355993; Sentiment_Subjectivity (from 0 to 1): 0.565785083 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unbelievable. I've been following Daniel Delaney for a while and was impressed that he  created BrisketLabs - pop up events to test his brisket recipes. He succeeded: he came up with the best tasting brisket and pork ribs I've ever had in my life. It was melting in my mouth, with the right smokiness that you can only find in Texas. Heavenly. I had an amazing cole slaw side, I don't know what spices he put in there, but it was absolutely delicious. Besides that, the interior is simple, elegant, and relaxed, and Dan is the most charming host you can imagine. And the band added the right atmosphere. The whole restaurant was a great experience, cozy, delicious, fun. I will become a regular.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.406390977; Sentiment_Subjectivity (from 0 to 1): 0.652920763 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really hold a high standard when it comes to barbecue. By far Brisket Town went above them. Having been to barbecue greats such as The Salt Lick, in Texas, this is as close as it gets. The service here is amazing to say the least, always ready to answer questions, recommend food, and are pleasant to be around overall. This is easily a new favorite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.179207459; Sentiment_Subjectivity (from 0 to 1): 0.504708625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here on new year's eve, and my boyfriend and I were completely blown away. Food: 5/5. Every single bite was delicious! The brisket and ribs were cooked to complete perfection, and their mac n' cheese was to die for. Service: better than 5.5! We showed up without reservations so we expected to have to wait for a little while, but while we waited we got free whiskey shots. Even once we were seated, the chef cooked us an extra 1/4 pound of food for free! We had only waited about 30 minutes to be seated and really didn't mind. The hostess and waiter were both extremely friendly. I would definitely return!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.205162338; Sentiment_Subjectivity (from 0 to 1): 0.517922078 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of their first customers, initially they started as a pop up at the same location they are now, then I guess secured the lease and are now in there permanently. Back then they were BYOB, those were the days... However, Brisket Town is still one of the best bbq spots in the city. Both eat in and take out are exceptional. They sent us a pre made meal for xmas with mains and sides that just needed to be put in the oven, everything was perfect. The brisket and smoked turkey is also ideal leftover food, and remains in my fridge to this day. A little on the expensive side, but so is every BBQ place in the city worth eating at. I will  continue to recommend Brisket Town to anyone listening.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.311742424; Sentiment_Subjectivity (from 0 to 1): 0.459848485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mixed feelings about the place. First off it IS the best brisket in NYC by a pretty wide margin. After having Daniel Delaney's brisket for the first time I made it a point to have everyone else's brisket to see if I had just never had it before or if he created some master work of meat alchemy and the answer is yes. I don't know why no one else is as good but they're not. Sides range from just okay to holy christ amazing. The deserts are homey but only if you home is occupied by a master baker who love simplicity as much as they love amazing flavor. I've been there quite a few times, even back when they were BYOB and outside of the obnoxious hipsters I have almost never had a bad experience except for once and it was a big one. My wife and I made it a point to introduce Brisketown to as many of our friends as possible. We took pride in being able to say we had been there since the beginning and so when I decided to throw myself a birthday party, the restaurant choice was an easy one. I was a Muay Thai fighter and I invited everyone I trained with out with high talk of savory meats and delicious deserts promising the best meal they've had in a long time. I contacted Mr. Delaney directly and reserved a space for twelve of my closest friend and their spouses, well over a month in advance and I was really excited because that was the first celebration I've had since a personal tragedy made my birthday into not something to be celebrated. When I arrived with my wife and my best childhood friends (one of whom was on leave from the military) 45 mins early to check on things, the hostess had never heard of me or my party. Mr. Delaney could not be reached and they had no intention nor means for setting up for such a large party on the fly and as my friend's calls started to pour in wanting more details about parking and what not, I had to deal with a clearly frazzled and increasingly defensive  insisting that "none of this was her fault." I didn't lose my temper, not once. I had friends taking public transportation down from Yonkers to be there and I was humiliated on my birthday in front of my friends and was forced to scramble to make other plans at 9pm on a thursday from Williamsburg for the understandably frustrated guest who now regretted coming out to celebrate my birthday. I wasn't really upset until I got an email from Mr. Delaney that night  insisting that the entire ordeal was my fault because I never replied to him when he asked for the reservation details...which was unimaginably upsetting because the email he sent to say that to me WAS A REPLY TO THE EMAIL I SENT TO HIM GIVING HIM ALL THE RESERVATION DETAILS time stamped A DAY after he asked for it. It was when I had to point this out when I really became angry and I left. Later it was explained to me that they had just started the reservation system they currently have in place the month of my birthday and that since I scheduled in advance of it, my plans got lost in the shuffle. I was offered another day for my party along with the promise of a discount on the meal but no one wanted to come back out so I spent my "makeup birthday party" alone with my wife, impossibly angry, being glad handed by Mr. Delaney. Our meal was comped. It wasn't much. I wasn't hungry. I was given a t-shirt that was two sizes too big but no apology for being told that the horrific fuck up that ruined my birthday and my friend's evening was somehow my fault. That was almost a year ago and I never went back. It still makes me upset to think about it. The hostess was combative, the owner tried to blame me for his mistakes in the most laughably upsetting literal example of Irony I've ever been party to and they made my wife cry. I've since stopped recommending Briskettown to friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.142219742; Sentiment_Subjectivity (from 0 to 1): 0.461444692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to BrisketTown (Delaney bbq) on a whim last night (after discovering pies n thighs has a B rating) and am really glad I did! The service was excellent and the food has got to be the best Texas BBQ in NYC. No frills, nothing commercial,  just delicious. The sides are excellent; their mac & cheese (made with beecher's cheese) is to die for. The Ribs and brisket were tender and flavorful, combined with  3 sides was the perfect amount of food for 2. Next time I'll definitely get their sampler plate of meat because it's worth it. The house made pies are not to be missed and free food on your birthday, what's not to love?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; 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: Wow, some of the best brisket, period.  A must try.  Live in Whitestone, work in Bayridge, neither area has really good Brisket.  Tried this place because I was caught in traffic, what a nice surprise.  Staff is great and very helpful.  They were out of pulled pork which didn't upset me, it means that they actually run out because its sooooo good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.470707071; Sentiment_Subjectivity (from 0 to 1): 0.572222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Staff/Experience A+ The staff is super friendly and as nutty about BBQ as I am.  I am an absolute sucker for when a restaurant  makes me feel that their only concern is that everyone sitting and having a meal at their establishment is happy and having a good time. The music and ambience are great. Loved the decor. Food A+ You ultimately come to a restaurant to eat, and boy do they knock it out the park. The brisket is absolutely amazing and melts in your mouth, but I was blown away by the ribs too. I think the ribs alone would bring me back, the combo of ribs and brisket being so good is usually not something that is totally mastered at most bbq restaurants.  At least in my experience.  What I have found is one of those really shines but the other not so much.  Glad to say that is not the case at BrisketTown - so get the brisket and get the ribs.  And before I forget, the mac  & cheese...OMG!! THE MAC & F'ING CHEESE!!!! Love. Don't change a thing, BrisketTown.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.324206349; Sentiment_Subjectivity (from 0 to 1): 0.647222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First off let me start by saying that the service on the night we dined was excellent. Our server was Scott and he was absolutely fantastic, he was excited about the menu, specials and desserts. It really added to my meal. We had the meat sampler and everything was good, the brisket was amazing! Perfectly cooked meat that was practically falling apart, like beef butter. I don't think I've had brisket that good before. The potato salad was also excellent. It was very well seasoned which I feel make is a very "adult" version of potato salad. The collard greens where are quite tasty, a perfect balance of sweet and slightly sour. For desert we had the apple pie topped with an apple strudel and whipped cream. It was delicious without being overly sweet. I should also mention the atmosphere was fantastic, they had great music playing a little louder than you'd like for a romantic evening or business dinner but perfect if you are planing on going out after. Basically fantastic food, service and atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4965625; Sentiment_Subjectivity (from 0 to 1): 0.673888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very very nice place! Great food, the beef is amazing and the collards and potatoes salads are delicious ah...and I forget about the apple pie that is very good too. Atmosphere is very pleasant and their playlist is great. don't hesitate to go !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.891190476; Sentiment_Subjectivity (from 0 to 1): 0.882857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 super tasty and we enjoyed the space. I would definitely go back for the migas and brisket.  I was a little peeved that there's no mention on the brunch menu - or from our server - that we could order a quarter pound of meat. Fine if they want to tell us they recommend half a pound of meat per person, but we didn't know until our check came that ordering less than 1/2 pound was a possibility. Also, $4 for a cup of regular coffee seems a little steep.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.060185185; Sentiment_Subjectivity (from 0 to 1): 0.352991453 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AMAZING. Come hungry Leave satisfied. Good beers too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; 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: Insanely great barbeque. Brisket is truly a work of art. I wanted to be alone with it. Service was attentive but not intrusive. The volume off the music, however, kept me from giving the place five stars. It was not remotely conducive to conversation unless you shouted across the table. Staff said it was "just the way it is". An otherwise amazing meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4625; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4 stars for the food... Brisket was so moist and flavorful... Great. The service was alright. The host greeted us upon arrival. The place was packed and the host told us the wait was 20 mins and that she would text us when the table was ready...... She never texted us. 25 mins later we walk back in and she's like "did I text u" um no u didn't but there's tables available now so may u seat us lol... We also had the pulled pork which was great as well very very very moist and tasteful. The Mac and cheese is good as well Anyway.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.44; Sentiment_Subjectivity (from 0 to 1): 0.454444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 okay. Ambience was good - a bit "fancier" than your usual bbq places.  But fell below expectations as I saw the name of this place within the top bbq places in the nation - among names like Franklin's and Fette Sau. It's good, but pretty far from those places! Wife was out of town for the weekend. I ended up ordering half pound of everything, most of it to go. May that's why I didn't enjoy as much. But I had the brisket sitting there. It was too lean for my taste. If you are in the neighborhood, try it! But I wouldn't recommend you take the train from Manhattan or somewhere else just to eat there (which ironically is what I did).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318939394; Sentiment_Subjectivity (from 0 to 1): 0.528787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is still fantastic, but the delivery service has gone way down hill. Delivery is almost always extremely late and don't bother calling because they never pick up the phone. If you want to eat Brisket make sure to dine in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.111111111; Sentiment_Subjectivity (from 0 to 1): 0.669444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.... SOOOOO good! Totally worth the 9 block trek from the subway from Manhattan. My husband and I were vacationing in NYC and read about Delaney BBQ somewhere, so we decided to give it a try. So glad we did! Charming little joint with cool decor, music and SUPER friendly staff. We started with the mac-n-cheese. One word. PERFECTION. So creamy and cheesy and warm and wonderful. We then shared a MeatFest. Pulled pork, brisket, turkey, ribs, and hot links. Succulent and delicious, every single bite.  The only thing I didn't die over was the turkey... Not because it wasn't tasty, but compared to all it compadres on the plate, it didn't knock my socks off.  I also ordered their beans, which were different than I anticipated ( I was thinking warm BBQ style beans) but still very, very good. It was more of a cold 3-bean style dish. The flavors in it were light and fresh, the perfect compliment to all that gorgeous MEAT piled in front of me!  Overall great experience, highly recommend this little treasure of a restaurant! Oh.... also our first time in Brooklyn, so walking to the restaurant was cool. It's located right near the Williamsburg Bridge, so we opted to walk back over the bridge to Manhattan after we stuffed ourselves - Great views of Manhattan at night! Definitely an experience!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.352735544; Sentiment_Subjectivity (from 0 to 1): 0.634857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favourite place to eat. Hands down. I have come often from the beginning and I look to many meaty nights to come. Think I'm in love; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.281481481; Sentiment_Subjectivity (from 0 to 1): 0.462962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Still an amazing experience. Our waitress Phoebe gave us the sweetest  and best service. All 8 of us were totally satisfied !!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.79375; Sentiment_Subjectivity (from 0 to 1): 0.733333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 amazing but the waiter was rude! I'm Spanish my boyfriend is Chinese he was so rude to us both made us feel extremely uncomfortable! If it wasn't because my boyfriend was really looking forward to eating the food I would have walked out; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.071428571; Sentiment_Subjectivity (from 0 to 1): 0.471428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been in many restaurants. My mom never cooked at home (lol) so going out to eat is part of my routine but this place is out of the ordinary. Somehow here you enjoy the food, you can taste the flavors and everything is amazing. Try the mac & cheese!!! (I'm lactose intolerant but it is so worth it :'0) Our server was Mark, he is genuinely friendly & kind.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.465625; 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: The Real Deal:  great 'cue, friendly vibe, no pretense, happy times. Drinks:  nicely curated selection of beers, ciders, wines and sodas. Wines by the glass looked appealing, but I always go for beer or soda with BBQ.  This time it was Abita's Jockamo IPA for me and (if I remember well) Ace Apple Honey Cider for the Missus.  Great choices both. Appies:  Love the Mac 'n' Cheese!  A sandwich-plate-sized cast iron skillet, baked to runny perfection and miles past al dente.  Everyone (except the well-loved gluten-free among us) must try! Meats:  Nothing bad in our bunch:  A+ ribs, Solid A brisket, A- turkey and pulled pork.  And we are tough graders!  Those who said "meh" to the eponymous brisket may have come late at night, encountering dryness or other cause for a culinary joy deficit.  Our brisket was tender, juicy, well-rubbed and plain delectable.  The turkey was truly a pleasant surprise:  moist, with just-right smokiness, a red meat antidote worthy of its plate-mates.  But the ribs were declared king of the mountain, and we ordered another half-pound to take home.  Woo hoo indeed! Sides:  We stuck to the greens (no beans) and had no regrets. Collards maybe a little strong on the vinegar, but cooked to a succulent, no-crunch firmness.  Potato salad was dressed in a peppery, savory secret sauce. Pies:  Stuffed to the brim by all of the above, we ordered a Chess Pie to go.  Can't wait to tuck in! Service:  Chatty, but not too; prompt (on a busy Saturday evening); helpful in navigating the shoals of portion sizes.  Much appreciated.   Waiting Time:  5 - 10 minutes for a table for four at about 8pm on a summer Saturday WHEN CAN WE GO BACK AND BRING A CROWD OF FRIENDS????; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.158894362; Sentiment_Subjectivity (from 0 to 1): 0.478694581 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kinda ended up here on a whim... we were headed elsewhere for dinner, but when BrisketTown (very thankfully!) didn't have a line out the door or long wait, we tried our luck.. and how lucky we came out in the end! As a former waitress, I'm inclined to say that our server was THE BEST I ever had. Quirky Asian guy with glasses; if you see him in there, request him. I loved how attentive and no-nonsense he was. Drinks.. shoulda went for the Shiner Bock, a Texan classic, but ended up with some Topo Chico which is seltzer imported from Philly? Lolwut. A bit pricey for carbonated water, but still good. Meats come in half-pound portions and are served family-style with a side of onions/pickles and white bread. We got the turkey, the brisket, and we split one hot link. (Personally, I thought the hot link was excessive, I was so full, but don't tell my boyfriend who LOVED IT.) Anyway. Having been to Texas, I would go as far as saying that the brisket -- from the juiciness, the meat flavor and the dry rub -- was even better than in Austin. The turkey was also good, but there was so much more flavor packed in the brisket. Man, that was soooo delicious... we can't stop talking about it! We also split a side of potato salad, which was also delicious.. not too much mayo, and just enough garlic where it wasn't offensive. Perfect accompaniment to the brisket! Finally, we split a slice of peach pie: the perfect ending to a perfect night :D; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.400520833; Sentiment_Subjectivity (from 0 to 1): 0.6421875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, this place was amazing. Went there a couple of weeks ago while visiting New York and I was really impressed with their brisket. It was really well done and REALLY tender.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.372727273; Sentiment_Subjectivity (from 0 to 1): 0.625757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great service, great atmosphere, great food, highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.64; Sentiment_Subjectivity (from 0 to 1): 0.6975 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 beat the $1 Lone Star beers on Tuesdays.  The BBQ was incredibly tasty, especially if you like the Texas dry rub style.  I highly recommend the brisket and the ribs; the meat was practically falling off the bone.  Giddy up!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.258333333; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 husband and I were craving BBQ so we figured we'd try this place since we were in the area. As soon as we walked in I knew something was off.(well, a whole lot was way off) The customers are packed into the smaller side of the restaurant like cattle before they dare sit anyone on their large booths. This is supposed to be a family style bbq place and they sit you on a ridiculously small and narrow table. I swear the tables are placed SOO close together I was practically touching the people next me. No privacy. Just weird setting and feel/vibe. The music sucked. Had no "central Texas BBQ" vibe. Speaking of.. Ok so back to my experience. As a born and raised Texan now living in nyc, I was stoked to open the menu and see that Shiner was listed at the top of the beer list. The waiter came and gave us a little run down on what the restaurant was and what we could order. When he went on to say and I quote "this is a Central Texas Style BBQ restaurant"  I was beyond excited to munch out! We ordered their sampler. (2 slices of turkey, 2 sausage pieces, 2 ribs, 2 brisket slices, 1 Texas slice of bread, slices onion and pickles) sides were not included so we had the beans and potato salad. It was HORRIBLE! Well, the sliced turkey was kinda dry but alright I suppose. My rib was charred and so dry. The meat came off of the bone like a hard block. It was black almost completely through to the bone. All I tasted was burnt meat as I forced myself to crunch away at it. Oh yes and the chef seemed to be pretty heavy handed with seasoning and salt on almost everything. The sausage was odd..it had a fake creamy texture with huge seasoning chunks. Funky to chew on. It didn't have a nice meaty texture. I couldn't finish my piece. I knew looking at the brisket it'd be gross. It was so soggy and fatty. Yes I know brisket is a fattier cut if meat but seriously nasty super soggy and greasy brisket slabs? Yuck couldn't stomach. The bread was awesome and so were the slices of onion lol Goodness how could I forget those sides? The beans were effing yucky. They were so over spiced. They were still super hard as were my HUGE chunks of potato in my potato salad. Couldn't finish those either. I was so disappointed. We just wanted our check to go. Well, when we get the ticket, we were charged twice for the sampler because apparently everyone at the table has to agree on the sampler. That was not by any means worth $40 for the meat samples I mentioned. Mind you the sides were not included. It was a horrible experience. First and last time. :(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.025580141; Sentiment_Subjectivity (from 0 to 1): 0.554727398 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I went to try out this joint recently. It was pretty tasty-excellent service. I had a nice glass of wine. I really enjoyed the pulled pork; the brisket was a bit underseasoned, sadly. I will come again! The meat alone is worth the trip!!! Thanks guys!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222991071; Sentiment_Subjectivity (from 0 to 1): 0.607142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 read all the reviews and was totally excited to go. We went, nice atmosphere,  smmaalllll space but eh. We were seated and the menu is on this cute clipboard thingy. We ordered but as first timers it would've been nice to have been told the menu basics by the waitstaff (for instance I missed the part about ordering the lean or fatty brisket). Our meal came, brisket was good, potato salad was eh but not bad, pickled onions were great. We had ordered soda and beer but the waiter forgot. He apologetically took it off the receipt and offered two free rounds a beer. We'll be back but we'll take it to go. And ask for extra onions.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.364583333; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Never in my life have I had BBQ this heavenly. I'm from Texas and I have had my share of BBQ. When I miss home I go to BrisketTown. I highly recommend that any Texan living in New York try this place out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148181818; Sentiment_Subjectivity (from 0 to 1): 0.497272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Summary: Surprisingly disappointing experience. Food was mediocre. Slow, frustrating service (see below for explanation). Out of several food items on a small menu (including pork ribs, a staple item) by 9pm on a Saturday evening. Food: We ordered the wedge salad, collard greens, 1/2 lb brisket, 1/2 lb pulled pork. They were out of pork ribs, peach pie and cabernet on a Saturday night at 9pm. (The menu is quite small.) Pulled pork and collard greens were fine, wedge salad pretty good. Brisket was surprisingly dry and not flavorful. No sauces other than hot sauce. Pickles were good, though. Service: Slow to take order. Had multiple servers covering our table, which (predictably) resulted in part of our order, the beef brisket, getting lost. They were unapologetic about the mistake, and then we were charged for 2 1/2 lb orders of brisket. When we pointed out the further mistake they were again unapologetic, and they argued a fair bit before relenting. Rarely write Yelp reviews, but this was a frustrating experience. Not worth the money or time. Fette Sau is nearby; try that, or Mighty Quinn in the EV, before this.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.007608696; Sentiment_Subjectivity (from 0 to 1): 0.583695652 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a native Texan. I've had what's purported to be the best barbecue in Texas. All over Texas. Central, South, North, West; suffice it to say that I have eaten some serious deliciousness in my time. I never thought I'd be uttering these words, but in all my time as a Texan, I have never had barbecue as flawless as the meal I had last night at BrisketTown. The meat was inappropriately good. Succulent, charred and peppered to perfection, and so full of flavor that putting barbecue sauce on it would be an insult to the care that went into preparing it. I don't really know what else to say...I was floored by how good this was. I'm still floored. To think that this wonderful little place, tucked into South Williamsburg, dimly lit and beautifully designed, could turn out better barbecue than a Texas smokehouse...it's beyond me. And I'm hooked. Take it from a Texan. If you've ever wanted to experience real barbecue, done the right way, arguably BETTER than in its home state, go to BrisketTown.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.403816527; Sentiment_Subjectivity (from 0 to 1): 0.533473389 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm eating my meal as I type this. This place, at least from my only (and last) experience here, really sucks. The "Persian" chicken salad sandwich tastes like it came from 7-11 and the chips are stale. Legitimately stale. Chewy. Add to that the fact that it took OVER A HALF HOUR for this cold sandwich to be brought out to me...and you've got yourself one unhappy customer. The guy at the counter is wearing a baseball cap, grey t-shirt, and Addidas gym pants. He looks like he just woke up. I'm beyond not impressed. Never again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.343055556; Sentiment_Subjectivity (from 0 to 1): 0.573611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here for a late lunch. Food was good, service was ok, decor was quaint. A bit on the pricy side for what you get (especially the pork ribs). Everything is a la carte. All in all it was good but not the first place to  come to mind when I crave BBQ.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.308333333; Sentiment_Subjectivity (from 0 to 1): 0.605555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was so much hype about this place I was expecting a lot. Brisket is flavorful. A bit salty and a bit dry. Like it's been sitting around too long. The sides were great! Ribs are the best bet. Pulled pork was pretty good too. I do like the decor. And the prices were more than reasonable. I guess the rave reviews created over optimistic expectations .; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.414814815; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brisket+BBQ - terrible terrible coleslaw and OK sides; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.125; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Insanely bad delivery service. Don't bother ordering food from here, it won't arrive.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.7; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 say that I love this place! The brisket was some of the best I've ever had and the ribs, yes!!  Everything about this place I love. We had a bit of everything and our taste buds were happy. I'll be back for more potato salad and greens. Maybe we'll do dessert as well. Thanks BrisketTown for some awesome 'cue!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.578125; 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: The four of us rolled in like drunk bats out of hell after a show last night and we needed some meat immediately. At 9pm every restaurant was at least a one hr wait but Daniel and the staff were so killer and accommodating to our sloppy selves. The 20 - 30 minute wait flew by as he kept the wine + beers flowing and brought us a sausage + pickle snack plate. Entire staff was super nice, owner Daniel is such a good dude. In addition to undercharging us for the entire meal for no reason he also threw us three slices of pie that were phenomenal. Try the key lime + grasshopper for some thick graham crust goodness. Oh and the bbq meat delish too. duh.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.022619048; Sentiment_Subjectivity (from 0 to 1): 0.629166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was Subpar. If you decide that the style of your BBQ does not need a sauce to help with the experience than the main course should not have me searching for something otherwise. I was very disappointed to see that my condiment options were of a lesser value from the supermarket (cholula). The music was good, the ribs were not as dry as the brisket and the side were fun and well thought out. So to complete my review i will say this; a house shot of Jose Quervo (cholula's more popular family member) would of nailed the night. Oh! and thank you for the extra corn bread that was tasty with all that honey butter like goodness.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1475; Sentiment_Subjectivity (from 0 to 1): 0.510833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Got There at 9:30. Didn't get seated till after 10. They didn't tell us while we were waiting that they were out of Brisket. Why else would we come to Brisket town?! The pork ribs were good. Over all just ok. Service not the greatest.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.733333333; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been there at least a dozen times in the last year....never disappointed, actually, the restaurant keeps getting better and better! I love the new sit down table service model. It's nice to be waited on by the friendly and attentive servers. I've tried many new menu items as they were added....love pork ribs, mac and cheese(new) and corn bread. But of course the winner hands down....combo of lean and fatty brisket...just incredible...melts in your mouth with a smooth peppery kick. Each time I visit with new friends, theres always a new item to try which makes us anticipate the goodness to come. We've also sampled many new wines on their expanding wine and beer menu. Always try to save room for dessert.....amazing! Thanks Delaney BBQ for brightening up our neighborhod....we'll be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165667545; Sentiment_Subjectivity (from 0 to 1): 0.455577514 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brisket was incredible, cornbread with honey butter was outta this world, and design/aesthetic was great. Go now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.85; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best brisket I've had in NYC. Hands down. Now if you're looking for a BBQ place where your entrees are slathered in sauce and you have 45 entrees to choose from, this isn't the place for you. But if you are looking for beautifully smoked meats with well balanced sides then Welcome home! Plus, you get a FREE HALF POUND OF MEAT ON YOUR BIRTHDAY!!!FREE!!! Yes, the wait was lengthy. Yes, they don't take reservations. Yes, the space is small. But one taste of the smoky, fatty, juicy, so tender you can cut it with a fork brisket will shut you up. To me, the pulled pork was sadly forgettable, but the free potato bread and sweet pickles made it for it. My experience on a Saturday night was an hour wait for a table for 2, but the owner was apologetic and kind enough to comp our drinks for the wait (that's how you KEEP customers!). Definitely coming back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211261574; Sentiment_Subjectivity (from 0 to 1): 0.54037037 [/INST] Not Spam</s>