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: Overall, the food is fairly decent.  Try the hot yogurt soup - its really good. The lamb and chicken dishes are fairly good too. I loved their hummus, yogurt and bread combo.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.273809524; Sentiment_Subjectivity (from 0 to 1): 0.638095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food at a very reasonable price!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6625; Sentiment_Subjectivity (from 0 to 1): 0.89 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really, Yelp?!  WHY?!  Perhaps if you have never had Mediterranean food EVER in your life, this might just be acceptable.  The Greek salad was fresh and tasty, and I was willing to overlook the overdressing.  The bread was also quite fluffy and warm, but be aware that they do not actually serve pita (which is kind of odd - it's difficult to eat the mezze platter with the bread).  Mezze platter (which I ordered as a main dish) was incredibly underwhelming.  The yogurt tasted like lumpy sour cream, and the phyllo dough and feta was not layered as advertised - instead tasted like frozen, microwavable taquitos.  Overall, the food was too salty.  It's too bad, because the restaurant itself has a cute and inviting ambiance.  Take my advice on this one...if you are looking for Mediterranean food in the immediate area, go across the street to Shalezeh...the restaurant is not as cute, but the food is much better in terms of taste, variety, and quality.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.166447368; Sentiment_Subjectivity (from 0 to 1): 0.497368421 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 huge fan of Turkish food and this place is spot on.  The food is always very fresh and served promptly.  They have ample seating outside for dining al fresca on nice days.   Their vegetarian platter is outstanding with delicious hummus, fresh yogurt and amazing pita.  Do not forget about baklava for dessert!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4925; Sentiment_Subjectivity (from 0 to 1): 0.734375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For Upper East Siders, this should be a neighborhood go-to.  As there is now usually a wait for dinner, I miss the time when beyoglu was a well-kept secret. Rest assured, once you're seated, the food comes quickly. My must-have: splitting the mezze platter and the Greek salad with your dinner companion. It's beautiful inside and a great date place, but also great for impressing visiting parents or friends while still being well priced.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.49375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good but the staff is not very friendly though.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.277884615; Sentiment_Subjectivity (from 0 to 1): 0.492307692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had consistently good experiences here. The food is authentic, well-prepared, and reasonably priced. For a refreshing veggie meal for two, split a bottle of wine and a large mezze platter with the delicious hot, fresh bread they serve. It's more than enough food and makes for an excellent deal. The portion sizes of the meat dishes are HUGE and there's enough to take home and heat up for lunch or dinner the next day. Beyoglu is always a pleasure.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.39744898; Sentiment_Subjectivity (from 0 to 1): 0.652040816 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here for a late brunch around 3pm on a Saturday, the restuarant was less than half full and we were seated right away.  Then we spent more than15 minutes waiting for a waiter to come over.  Finally after trying to get ANYONE's attention a bus boy brought us waters and we asked where the waiter was or if he could take our order.. he said that someone would be right with us.  Another ten minutes passed so we got up and left.  I have been here once before and the food was alright/ it is right in my neighborhood, but after service like that I will never be returning.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.081150794; Sentiment_Subjectivity (from 0 to 1): 0.382539683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really and truly amazing. First off, to find a restaurant in that area with the reasonable prices that they have should in itself get them 5 stars. Food was a.m.a.z.i.n.g., really incredible. Go for the Meze platter- i got the small and it was 20 minutes of pure ecstasy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.302040816; Sentiment_Subjectivity (from 0 to 1): 0.547619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Turkish restaurant I have ever been to. The appetizer platter is delicious. I could eat there every night!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delectable Turkish food! If you enjoy Middle Eastern cuisine, don't miss Beyoglu. The small mezze platter was more than I could eat (everything was delicious), the falafels were perfect, and my friend's lamb dish (Iskender Kebab) was tender and succulent, with perfectly seasoned sauce. It was lovely to dine outside here on a warm summer evening.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great. Just like the real stuff in Istanbul. The Eskandar Kabob is recommended.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; 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: Decided to try this place out after reading all the positive reviews on Yelp. And anyone who knows me knows I can't eat somewhere unless I've checked Yelp beforehand. The family and I came here at around six on a Sunday and were seated promptly upstairs. What started as us having the whole second floor to ourselves turned into a bustling space as tables around us quickly filled up with people. We started off with two appetizers; Phyllo dough stuffed with feta and zucchini pancakes (their special that day). I was disappointed that the cheese-filled phyllo tasted something akin to mozzarella sticks, but the zucchini pancakes were simply divine. They also give you complimentary pita bread, which was warm and scrumptious. I'm now of the mindset that any proper restaurant should have some kind of bread as a starter. The entrees did not disappoint; Most of us ordered some form of kebabs (and by kebabs they mean thinly sliced, gyro-style). I ordered the Iskender Kebab, which is just kebab served over pita bread and topped with a delicious yogurt-tomato sauce. The dish was flavorful and the meat well-cooked. My dad gave his thumbs up on the swordfish kebab. Two others in our party ordered the Doner Kebab, which they liked but I personally felt that had I ordered it, I would have thought it a bit dry without the yogurt-tomato sauce. Our waitress was lovely and attentive, always making sure our water glasses weren't empty. What more could you ask for, really?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218968705; Sentiment_Subjectivity (from 0 to 1): 0.587517286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place! You can share appetizers for the table and you'll be full! I highly recommend this place!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.545833333; Sentiment_Subjectivity (from 0 to 1): 0.613333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 not Turkish, but I love me some mediterranean food. This place is legit. Some of the best hummus. Try the chicken - delicious. Don't believe me? Judge the place by how packed it is... constantly. 4 stars because the menu needs more options.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.613888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place, fantastic food, plenty of vegetarian options.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; 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: I had walked past this restaurant several times. Each time the patio was packed, and the food looked amazing, so a friend and I tried it out Saturday evening. Our waitress seemed as if she was in another world. She wouldn't look at us when she was speaking, she never checked on us, and we only had our drinks refilled once at the end of the meal. Was kind of a let down when compared to other reviews about the service. I will agree though about them not rushing you, but this could also be accredited to the poor service we received. We tried the hummus for the appetizer. It was okay... a little too chickpea tasting if that makes sense, despite the drizzle and herbs that were added. And the bread was a little dried-out tasting We also tried the beef and lamb kebab. Was surprised with what we got. It was thinly sliced meat thrown on top of the rice. You could not tell if you had lamb, beef, or both. There were no extra spices added to the meat, which you would expect from a Turkish restaurant. Luckily there were onions and tomatoes on the plate you could add with each bite to get some more flavor. Maybe my review is rough, but I have had very good Turkish food in the past, and this just didn't live up to my expectations. I think if you were looking for a place with a nice patio, when the weather is beautiful, this is where you would want to come and have a glass of wine and an appetizer, but not much else.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.144755892; Sentiment_Subjectivity (from 0 to 1): 0.567800926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: By far one of the most authentic Turkish restaurants in the city, complete with a knowledgeable staff and Efes beer.   Warmly lit with candles, the first floor is cozy and romantic, while the second floor is more apt to crowds and parties.  A big neighborhood spot, regulars crowd the bar and seem to know the maitre de and hostess on a first name basis.  Indeed, they will both recognize you after your first visit here. The vegetarian platter is a sampling of various Mediterranean cuisines, served with traditional Turkish bread still warm from the oven.  The kebobs are cooked to perfection, but the real winner is the branzino fish served with a side salad and warm lemon dressing.  If you are lucky, you may be able to get one of the gracious waiters to de-bone your fresh catch table side. Definitely worth a visit, especially if you can't make it to Istanbul!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261805556; Sentiment_Subjectivity (from 0 to 1): 0.537847222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service stinks. The rudest people I've ever encountered. I ordered 3 entrees for $50 and was given one bread. When questioned they said that's policy - one bread per order - how tacky!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.75; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service is excellent, and every plate that I have had is excellent. Every time. The kabobs are great, and I am not usually a fan of kabobs. I usually get the vegetarian platter, which is lots of fun for the dipping. The bread is fresh and warm every time. The shrimp casserole is also wonderful. Living in the Upper east side, it is easy to have forgettable restaurants with pretty forgettable staff. The servers here are excellent, and that is what makes this a 5-star review for me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.378645833; Sentiment_Subjectivity (from 0 to 1): 0.623958333 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every time I go here I always want to go back. The food is that good!! Hummus & eggplant are the best!! However, its cash only for anything under $20 and the manager is strict.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here a couple of years ago, but it stands out as one of the all time great meals. Vibrant decor, friendly staff. The swordfish kebabs were like a religious experience. Heavenly. I still fantasize about them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.335416667; Sentiment_Subjectivity (from 0 to 1): 0.458333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 price, great food. I go here for lunch almost once per weekend, and ONLY get two appetizers and a salad. Never a complaint from the staff, and they always bring bread as soon as the last peice is eaten. Good price, simple menu, amazing vibe.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.38125; Sentiment_Subjectivity (from 0 to 1): 0.57797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to go to Beyoglu all the time but recently tried to go with my 4 month old daughter and they would not let us in the restaurant.  There are two tables full and they would not accept strollers or high chairs.  The people who work here are extremely inconsiderate and rude.  Would never go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.026428571; Sentiment_Subjectivity (from 0 to 1): 0.448571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was delicious!  My wife and I tried this on the suggestion of a friend.  We had the lamb and beef kabob and the vegetarian platter.  It was more than enough food.  The atmosphere was very pleasant and the waitstaff was pretty good.  I definitely want to come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.425416667; Sentiment_Subjectivity (from 0 to 1): 0.6375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This Turkish/Mediterranean offers meze's (small dishes) in a beautiful, colorful setting. The inlaid Mosaic-topped tables are pretty but small and, since the whole menu concept involves sharing, dining can be a little cramped. But the taste largely makes up for it. On a lovely, breezy day at their outdoor seating we sampled about six dishes. The Sigara Borek (filo dough stuffed with feta cheese) is as good as it sounds, falafel is excellent and the Greek salad (one of the larger dishes) very well made. We thought that, while the Barbunya Pilaki (red kidney beans, potatoes and carrots cooked with lemon and olive oil) is tasty, it's a bit too greasy for our liking. Most heavenly of all, though, is their Cacik (homemade yogurt, cucumbers and garlic). It's thick, creamy, rich and generously served in a large bowl. Tailor made for dipping into it is their excellent pita/nan style bread and our only complaint...and it's a big complaint...is that there wasn't enough of that! The service was reasonably efficient and the prices conducive to sampling multiple dishes. There was plenty more on the menu we wanted to try and we'll be back to do just that!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218431122; Sentiment_Subjectivity (from 0 to 1): 0.483290816 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best Turkish restaurant in the city in my opinion and I'm Turkish :) Great food, great value, great ambiance and excellent service. I have been going there for years now and I have never been disappointed. My favorite dishes are a combination of their mezes called the vegeterian platter, the liver is outstanding (If you don't like liver, you must try this one. I converted my fiancee!). I also love the doner. My fiancee loves the iskender kebap which is delicious but can be a bit heavy for me. If you're a meat lover you must try it. Oh and to top off your meal, don't forget to try the rice pudding and baklava. I go there almost every week, it's that good. Can get crowded, just hang out at the bar and be patient. It will be well worth it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.543333333; Sentiment_Subjectivity (from 0 to 1): 0.698333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with my family and had delicious food and great desert too! However, after we paid the waitress came to our table and asked if something was wrong and told us that we should had left her a bigger tip because she only gets paid through tips. If they "require" atleast at 20% tip as the waitress said, then they should include gratuity in the bill. As a former waitress, I found this so rude and would have never done this to a patron. As great as the food was, I don't plan on going back to Beyoglu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; 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: Holy heck this place was amazing. We ordered practically every option on the appetizer list and finished them all. The service was attentive and as authentic as the festive decor. Our glasses were never empty and our stomachs have never been so full. Not much more we could have asked for. This place DELIVERED in a big way. Love, love, love. If you aren't with a group large enough to order simply everything, I would not miss the hummus, cacick or the ezme. And the patlican salatasi. And...ok, enough. It's all delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.290952381; Sentiment_Subjectivity (from 0 to 1): 0.585714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel that the hostesses at Beyoglu are the NASTIEST women in NYC... I actually love beyoglu's food and atmosphere, but my large group of friends refuse to go there as they treat you with no grace or consideration.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.357142857; Sentiment_Subjectivity (from 0 to 1): 0.514285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 use to be a nice neighborhood place but with success has come complacence and arrogance.  I think the quality has dropped and the service is atrocious.  Save your money you can surely do better than it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.175; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place hit the spot! We were at the Met and started getting hungry and so we started walking east. Using the yelp app on my droid we ended up at this place. We got the vegetarian platter and an order of falafel and this was a perfect lunch for two. It came with a yummy bread that was great for scooping up the items on the platter. This was only 22$ and it was really really tasty. Five stars if the server had a shred of personality. Wish I liver around the corner from this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good food with reasonable prices. The hummus and dolma were really good (not the best, but nice and fresh). The service was friendly and not overbearing. Outside seating was a plus. All in all, we had a good lunch and I'd go back if I'm in the neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4785; Sentiment_Subjectivity (from 0 to 1): 0.493 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 FOOD! I would've thought that as good as this place is, that it would be more expensive. Staff and services are incredible. If you a fan of Mediterranean food, then this is the place for you!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.54; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: one word: bread! It's phenomenal! Their entire menu is delicious and so cheap! Their hummus and the beyoglu salad are my favorite. But definitely take advantage of the bread. I have to figure out how they make it!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4375; Sentiment_Subjectivity (from 0 to 1): 0.720833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 gets almost 4 stars but, I'll leave it at three for now. So everything was great. Although, they were out of the Donner Kebab...at 8pm. What??? Anyway, no big deal. I'll return. I left fat, dumb, and happy. And OMG I had to go to the bathroom later after gording myself in delight. I think I managed to eat with the group, 4 apps, a main dish, bread, dessert, coffee, beer, soda, and water. Like I said, I gorded myself. I'll be back :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.210185185; Sentiment_Subjectivity (from 0 to 1): 0.409259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ALthough I have heard that the food may be decent, we were not seated because of our three year old child we were unwilling to leave on the curb. Mid-afternoon, this place would not even consider the possibility that we may wish to dine with a child! Exceptionally rude, snooty, and elitist. The hostess acted as if we were asking for her to move a mountain, and the wait staff was no better as they whisked by with glaring stares. Outside seating? no children. Inside corner somewhere? no children. ARE YOU KIDDING? The other patrons seemed uninterested in our party, so I am sure they would have been able to. somehow, adjust to a child in their midst. As for you Beyoglu... be gone!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.092708333; Sentiment_Subjectivity (from 0 to 1): 0.488194444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good restaurant.  Some of the best hummus and mashed eggplant salad I've ever had, and good bread to boot.  The service is pretty decent, decor, atmosphere also.  The three or four main dishes that I've tried were all very tasty, and cooked very well.  I think anyone who likes the cuisine would have a hard time finding much fault with this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.350166667; Sentiment_Subjectivity (from 0 to 1): 0.502166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Turkish Delight (mostly) ----- We came here before going to the Met. Since the weather was warm enough to sit outdoors, we decided on the first restaurant with outdoor seating. Pro - the food (mostly) - spinach pie: the flaky phyllo dough, and stringy mozarella, were the highlights of this app.   - grilled octopus salad: great citrus marinade, but the octopus lacked the necessary "springiness" probably due to the grilling. I bet it would've been better if it were a ceviche. - grape leaves: this was excellent! The key was a slight sweetness to the barley that I haven't seen in other places.   - mixed grill: overall this was quite good (see photo). Two grilled lamb chops, two marinated beef patties, and a piece of chicken breast on a bed of rice pilaf. The pilaf was very flavorful, although the chicken breast was excessively dry.     Con - uneven service - the service was overall pretty friendly, but we definitely felt rushed (I know lunch service ends at three, but the dishwashing machine doesn't! Otherwise, don't get greedy and seat us for lunch at quarter of, only to hover over our table and rush us to close out our check!); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.145833333; Sentiment_Subjectivity (from 0 to 1): 0.555769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 calls my name as I walk by on my way home from work.  The food is simple, extremely flavorful and delish.  The wines are just so so but I generally don't come here for the wine.  My favorites: red lentil soup, Zeytinyagli Ispanak (fresh spinach, shallots & dill sauteed w/ olive oil), hummus, and ezme.  The salmon dish is also wonderful.  Definitely worth the stop as you pass by or worth the detour if it is not on your way home.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.228125; Sentiment_Subjectivity (from 0 to 1): 0.444642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: no gyros before 4pm!! I had a craving for gyros after a visit to the met and found this place on yelp. it's everything they said, great ambiance, waitstaff, food....except no gyros at lunch! you gotta be kidding......but they did offer to substitute small lamb meat patties instead. not nearly the same. the taziki sauce and giant pita bread tasted home made. i definitely need to return after 4 and try the gyro platter.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.529166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ate here Tuesday night, the food was tasty, the service and portions good. When I woke up wed morning I was sick to my stomach and in the afternoon I was puking. Very unpleasent. I cannot be 100% sure this was the restaurants fault but I checked the NYC health inspection report and there were 28 violations:  167.153.150.32/RI/web/de… including violations for potentially contaminated food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.137142857; Sentiment_Subjectivity (from 0 to 1): 0.729206349 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 go to this place at least once a month (he would go everyday if I let him!). During busy nights it's nice to go to the upstairs part of the restaurant it's a little more romantic and you can be seated by the window to overlook the busy streets. The outdoor seating in the summer is key too! Pros- VEGETARIAN PLATTER- you need need this. It has everything you could ever want to dip in and it comes with never ending delicious fluffy bread. Sheppard Salad- the perfect middle eastern "isreali" salad. Cons- Grilled shrimp appetizer came out with 3 shrimp for about $8, don't bother You need to experience this vegetarian platter, its plenty of food for two people and just perfect!! go now!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.240178571; 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've been meaning tor finish this review since november.. ..everytime I am in the city  late enough, I make a point to stop by for dinner here ..even if its out of my way..Beyoglu is an amazing place. I've been buzzing about it to all my friends since the first time i walked in here... besides being absolutely serene and beautiful, the food is amazing. the music is good and not at all obnoxious. I've been here  a few times for dinner and absolutely love it. The staff are always smiling and are eager to help, noone is pushy nor mean spirited. Beyoglu has a great vibe and makes you want to come back again and again..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.299107143; Sentiment_Subjectivity (from 0 to 1): 0.633630952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is YUM. Stumbled across this place with a friend on a Friday evening. Waited only 10 minutes, but knew it'd be good because it was packed. Service was just alright, they forgot to bring my friend's wine until we asked about 2/3 through. Oh, but the food is yum. We shared 3 dishes--falafel, calamari, and sauteed spinach. The quantity was perfect for the two of us, especially with that awesome bread served with it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.54; Sentiment_Subjectivity (from 0 to 1): 0.92 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bread is magical. The menu isn't overwhelming, and everything I've tried from it seems to be pretty good, but it's all about the bread.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4875; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best bang for your buck on the Upper East Side.  Just order a ton of the appetizers, and continuously ask for more bread.  On occasion, I'll also have the Sea Bass fish special main course (but it can be sorta boney).  Also, the lamb kebab is decent, but not amazing.  Dinner for under $20 a person if you don't order their overpriced drinks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.217559524; 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 love places that transport you to a different country. Stepping into Beyoglu, I felt that transportation beyond the food. Very cutely decorated with high ceilings and open space, adorn with a lot of bright and warm colors. Reasonably priced with beautiful decor. It was lunchtime, but that didn't stop 2 ladies from enjoying a full dinner-esque meal. Cuz it's just one of those days ;) We had the hummus (flavorful with pleasant texture) and cured beef with cumin and garlic (think more of sausage-like meat rather than juicy succulent beef cubes, but delicious nevertheless!) as starters. It came with a BEAUTIFUL baked bread and I just adore establishments that bake their own! The bread was wonderfully golden and brown, puffy and crusty, just the right combinations that make bread wonderful. This was follow by a mixed grilled (the lambchops were great, the lamb patties were deliciously juicy, white meat chicken a tad dry, over a bed of rice pilaf) followed by a gelato bombe (vanilla and chocolate ice cream covered by a chocolate shell, would be yum in my book if minus the maraschino cherry).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.415273369; Sentiment_Subjectivity (from 0 to 1): 0.68675485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been wanting to try this place for a while. I must say after all the reviews I was a bit disappointed. We started with the calamari and falafal. The fallafal was good but you only get 3 pieces. The calamari was very disappointing for a Turkish restaurant. The service was pretty good and the atmosphere was great. However, there Turkish beer is 7$ a bottle which is a bit high. We ordered the meat special for the night and it was pretty good. All in all it was pretty good, but not good enough to run back any time soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.186696429; Sentiment_Subjectivity (from 0 to 1): 0.688839286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Beyoglu Beyoglu Beyoglu...that's all I dream of once I moved away from NYC! The mezze platter is really to die for or at least worth traveling from SF to NYC. The ingredients are so fresh, and are complimented by familiar favorites like hummus, babaganoush, tsaziki, etc. There is also an endless supply of a "straight out of the oven" baked bread that is wonderfully crispy on the outside yet nice and soft on the inside. The menu is also filled with many nice standard Mediterranean dishes with standouts being lamb or chicken kebabs. Daily specials are offered, but if you're lucky, you may be there on a night when they offer Moussaka, which is another favorite! The restaurant will always remain one of my favorites and a must have whenever I head back to NYC. The only reason why it didn't get a 5 rating from me is that service, although nice, can be inconsistent, and the wait for a table can be extremely long sometimes. Overall, it is a great place for date, a night out with friends, or somewhere to bring the parents when they visit!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242333333; Sentiment_Subjectivity (from 0 to 1): 0.543333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of my favorite restaurants on the UES. The price is right and the food is consistently great. It's always busy so definitely try and make a reservation, but they're usually good about seating you if you just walk in. The best time to go is in the summer when you can snag a table outside and snack on some of their apps, have a nice glass of wine while you watch the people go by.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.442857143; Sentiment_Subjectivity (from 0 to 1): 0.55952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 true gem in the UES. Great food, good service - never had a bad meal here. The Hummus is awesome, the Donor is delicious, and you can't skip Baklava for dessert.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.777777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at this place is great, but I went three times and unfortunately had the most awful service all three times. I will not be going back. The hummus and donor kebabs are great, as is the pita that comes with it. I went twice with a vegetarian friend and she loved the selection. I had the same waiter every time I've gone and never have I had such rude service. The first time he made comments throughout the entire meal about how I looked too young to be ordering wine. Perhaps he thought he was being charming, but upon the 7th remark I was ready to get out of there. The next time I was there he picked up my plate, of which I had eaten a good 3/4 including all the meat and he made a face and asked, "What, you didn't like it?" The food is good, but not good enough to go back and deal with waiters like that. There are too many other restaurants in NY with better food and better service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.187; Sentiment_Subjectivity (from 0 to 1): 0.522333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place - I could go any day of the week - delish Turkish food available in appetizer plates so you can share several - and the price is right.  3 of us feasted and had good Turkish red wine with bread and dessert - it came to about $70 before tip!  Try to get that anywhere else in New York!  Very friendly staff also.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355458604; Sentiment_Subjectivity (from 0 to 1): 0.423782468 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to live caddy cornered with Beyoglu and it was my staple dinner.  I love the vegetarian platter (hummus, babaganoush, stuffed grape leaves, ezme, cacik, taboleh, etc.) and would usually get an extra hummus to share with my roomies.  The warm loaves of bread they serve are perfect for dipping!  Eating outside and sipping a glass of wine is the best way to spend a spring evening!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373295455; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you are looking for a great meal at reasonable cost, this might be a good choice. We started with Hummus and Dolma, 2 appetizers which are usually available at most Greek restaurants. The Hummus was creamy and  very flavorful; full of Tahini as well as chick peas. The homemade bread is fresh and plentiful and is perfect  with the meal. It is a Turkish style bread which is leavened with oregano and a little garlic in it. The Dolma, which is an appetizer of grape leaves usually stuffed with rice,, had lots of flavor and some pine nuts with a slightly sweet taste. The texture was creamy and not bland at all. We shared the Shrimp casserole, which remined me a little of Shrimp Creole, but with cheese, fresh herbs and very fresh vegetables including tomatos and red and yellow peppers. The shrimp were large and juicy, not overcooked. The dessert was a wonderful almond pudding which was almost like custard and not too sweet,. The bill came to under 50 dollars for 2 people, which is reasonable in my book. Service was attentive and prompt, food was delicious. If you are visiting the Metropolitan Museum, this is within walking distance or a short cab ride. I will definitely return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.300467372; Sentiment_Subjectivity (from 0 to 1): 0.535626102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Beyoglu seduced me the moment I stepped foot inside. First of all, the place rocks a seriously sexy vibe, what with the dark red accents, mosaics, and funky art. Besides, the food is expertly and skillfully prepared, which makes this restaurant well-done all around. I was here for a friendly dinner on a Sunday night and the place was pretty packed. Even so, it was worth the 15-minute wait and our food arrived almost right after we ordered. The vegetarian platter beautifully showcased fresh, high-quality ingredients. As a former "difficult eater" (read: picky bastard), even I happily ate the deliciously simple, subtle (and apparently alliteration-inducing) spinach. We also had charred shrimp, which were perfectly seasoned.  Our bread plate was refreshed throughout the meal and our servers were friendly and completely attentive. Wine list is pretty decent as well. Avoid the coffee, though--tastes as if it's been brewed with alkali. Will return with a date in tow, next time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.200865801; Sentiment_Subjectivity (from 0 to 1): 0.540584416 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought this place was great!  I had no idea that it was Turkish rather than Greek because I didnt know what the name meant or the difference in cuisine.  But either way, I didnt even order for myself, someone else did and I usually like more control in my food orders but this time I was happy with everything on the table!  I ate it all and brought home leftovers for the next days lunch. So yeah, mama likey; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.416666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yelp continues not to fail me.  I decided I wanted to try out Beyoglu for dinner (because of the yelp reviews and the fact it had been too long since I'd had Turkish food) and I was not disappointed. We had no problem with the young manager (as some people in previous reviews did) but we did have reservations so that might be the key to getting seated promptly when there are several people standing around waiting. Our waiter was very friendly and very helpful.  We asked about several different mezes having no idea what they were and he was more than helpful.  No one had any problem with us enjoying a 2+ hour dinner and we never once felt rushed in any part of our meal. The food was very good.  I had the swordfish kebob which was cooked perfectly and separated by onions and peppers that just made it even tastier.  He got the lamb which he said was good (I didn't try so can't attest to it's deliciousness).  The meals are reasonably priced and you get ALOT of food.  Each meal comes with a hefty portion of meat/fish and then potatoes, rice and salad plus the bread that is served to the table.  (Way too much food to finish).   I would definitely go back here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.234517544; Sentiment_Subjectivity (from 0 to 1): 0.465614035 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 summer I spent a period of time in the actual Beyoglu, which is a busy, hip neighborhood on the European side in Istanbul.  We didn't get to eat out as much as we'd like, but I did develop a taste for Turkish food (and Raki!).  So I was really excited to see this restaurant while planning a day at the Met. Of course, we started the meal off with a Raki, the traditional anise-flavored Turkish alcohol (similar to other liquors found in Eastern and Mediterranean Europe).  It was good, though I didn't ask the brand. Mezes can make a whole meal and often did in Istanbul.  We started with the eggplant and tomatoe meze, which was quite good.  And we also ordered the pan-fried calf's liver, which the waiter enthusiastically endorsed (he said it was his dinner many nights).  It was amazingly good, served with a nice complement of fresh onions - and huge, a whole dinner. While we were getting full, we already had a main dish on the way - which was described, as far as I could decipher, as a lot of lamb, spiced meatball, and chicken.  Note that at lunch, they (usually?) don't have the kebabs ready because the meat must cook through the day.  The meat (served over rice and onions) wasn't quite medium rare, but still tender and flavorful, especially the meatball. For dessert, even though we were full from all the meat, I couldn't resist trying their halva.  I've only had it once (packaged, with chocolate mixed in), but the halva with pistachios was great, lots of sesame flavor. I really recommend Beyoglu.  Great food, and not at all expensive, and the only draw besides the Met on the UES.  I'm really looking forward to taking my significant other (and traveling companion) here soon.  Need to try the rest of the mezes!  Though I was a bit sad they didn't have one of my favorites, eggplant and yogurt.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174616228; Sentiment_Subjectivity (from 0 to 1): 0.568640351 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 unbelievable hummus, and equally good bread that comes with it, which is freshly baked and incredibly soft.  Although I'm not Middle Eastern, I've had my share of hummus and this is undisputably at the top of my list.   I've only had the swordfish and chicken kebabs, but both were very good. The swordfish kebab was solid--good flavor but the veggies that came with it were a little greasy/soggy, and the swordfish was a little overdone. The chicken kebab was as close to perfect as you can get, it's charred just the right amount on the outside, marinated very well, yet really juicy and moist. It comes with this spicy red sauce that has a little bit of a Mexican flavor (I think it's cumin) which was very good as well. My only complaint was that the yellow rice was a little buttery for my taste, but I quickly forgot about it with perfection everywhere else. The ambience of the place is very nice, excepts some of the tables jut out a little far out on the sidewalk, making passerby a little too close to comfort. It would be nice to have a little divider between the outside tables and the sidewalk, but it's not a huge deal. Also, if big trucks come by, it can get a little noisy. All in all, a great place for Mediterranean/Middle-Eastern food; if you're in the area, I highly recommend it. At least go for the hummus!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.103949939; Sentiment_Subjectivity (from 0 to 1): 0.536813187 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lucky to be there when I was in NY. I have not had a chance to try the entrees but the meze's were so good that we did not even proceed to the main menu. The music could have been better but you dont really hear it downstairs. The upstairs is quiter if you'd prefer.. They don't have the all different kinds of raki's but that is not a problem at all if you are not very into the raki. Overall, I would definitely recommend this place and I hope you will enjoy the traditional Turkish food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.465151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: right near my apt, my go to place to take visitors.  tasty and not too expensive.  and really yummy bread.  i've tried a few of the of entrees which were ok, but i think the best way to go is to share a bunch of the appetizers and a salad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.248214286; Sentiment_Subjectivity (from 0 to 1): 0.466964286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. I had the vegetarian sampler platter, which is definitely enough to share with the table as an appetizer, or between two people as a light meal. Each of the salads was absolutely perfect.  The yogurt was the creamiest most delish yogurt I have every tasted...and the eggplant salad was outstanding.   we also split the feta cigar/borekas which were fried but not oily, and just salty enough to be delish. based on my veggie dish, it was fabulous...the menu didn't have that many options for vegetarians which was a bit disappointing for me...but the mezze sampler was so good that I didn't care by the end.. oh, and the baklava was REALLY good. usually its too sweet for me...it was sweet, but in a perfect treat way.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.367857143; Sentiment_Subjectivity (from 0 to 1): 0.644642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 someone asked me for a rec on Turkish food, I'd say Beyoglu without hesitation.  It's the kind of place where you don't need to know much details - just pick stuff that sounds yummy and it probably is.  The meat dishes are all excellent, esp the chicken.  Desserts are for the sweet-toothed diner; the apple tea is great in the winter.   If you decide to ask one of the waiters out on a date (as my friend did).. well, that's another story.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; 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: I had a very bad experience today with this resto, I gave them 15% tip and when I am going out, manager called me and tell me that in NYC you must pay 18-20% as tip. REALLY!!! Is this a federal rule!!!!!!!! I feel like they are just bagging for a couple of dollars; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.045; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/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: Visiting New York for several days, and this was by far the worst restaurant I ate at. The food was okay, but the service was horrendous. The waiter was rude and didn't seem to care for people's food allergies. First, he put a fork that was dropped on to the floor back on to a table for the next unknowing customer to use. After claiming that the meal is nut-free multiple times, my friend develops anaphylaxis after having the appetizer. The manager or the waiter said there were no nuts in the food, but found out almonds were in the appetizer after asking the chef. The manager hovers over us for the rest of the meal. Please save yourself and don't go to this restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.031363636; Sentiment_Subjectivity (from 0 to 1): 0.388787879 [/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 arranged a holiday party with the downtown resturant. The deal was stuck with the owner. After we went there, to our disappointment, the owner didn't agree on the deal. After lot of back and forth, he finally agreed. He then gave us very very bad service, the food was not even served properly, cut down lot of items from the discussed menu. I would STRONGLY DISCOURAGE everyone to avoid the resturant at all cost.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.176031746; Sentiment_Subjectivity (from 0 to 1): 0.484126984 [/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 ordered food but it was never delivered to us. We called the restaurant and the manager started yelling at me and stated that the food was delivered. We ordered via Seamless.com so that we paid when we ordered. I have never experienced such a horrible attitude as displayed by this manager. He treated us horribly rude. He was very aggressive, inconsiderate and unacceptably hostile. Bottom line: We paid $25, never received any food and were even yelled at. Please do yourself a favor and NEVER order food there!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.29; Sentiment_Subjectivity (from 0 to 1): 0.66 [/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: Exotic Indian Cuisine! Love it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.8 [/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 service, great atmosphere.... The food was fine but could be better. I was very disappointed that they didn't have their mulligatawny soup (the famous Indian soup), so I ordered their vegetarian beets soup - it was delicious! Loved it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.489583333; Sentiment_Subjectivity (from 0 to 1): 0.784375 [/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: Appetizers to entrees and nothing food-wise disappointed.  The night started off with drinks and chicken tikka.  Chicken was perfection and 5 pieces went the distance with this table of four.  We moved on to entrees and portions were perfect - meaning, there were no leftovers, but we weren't looking for more either.  Chicken Shahi Korma and Chicken Tikka Masala had incredible flavors, with a great, kicking sauce. The Malai Kofta looks more like meatballs than dumplings, but again, no complaints and very tasty.  There was one other dish that we got that was chicken with veggies, but cannot remember the name, again this did not disappoint in it's flavor and portions. So, why the four stars?  The wait ... maybe it is NYC style (or my impatience) but from start to finish, it was well over 2 hours - we were seated immediately, but then 10 - 15 minutes before our drink order was taken, then another 10 minutes before our food order was taken.  The drink order came, but only half of us got our drinks, the other half had to wait 5 - 10 minutes.  Apps and dinner came out quickly and once we were done, they cleared immediately, but a long wait for the check, which we had to request.  Not sure if it is their policy o wait for us ask for check or not, but still a lengthy process.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.02; Sentiment_Subjectivity (from 0 to 1): 0.666111111 [/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 have eaten here four or five times as it is in my neighborhood.  The food and service is typically very good at a reasonable price point.  I only knock off one star as they sometimes over-season a dish so as to make it too hot.  To their credit, they have quickly replaced the item when it was brought to their attention.  Other than the rare seasoning misstep, I highly recommend Benares.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.253541667; Sentiment_Subjectivity (from 0 to 1): 0.693125 [/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: Lunch Menu - good price, excellent food!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.85; Sentiment_Subjectivity (from 0 to 1): 0.8 [/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: Everything was wonderful! The space is beautiful and the atmosphere was great. The food was delicious, and cocktails were awesome. The wait staff was very friendly and offered recommendations that were definitely worth trying. We will certainly be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6796875; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/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: Ambiance -  Very NY, exactly what I would expect from a finance district restaurant. Tall ceilings, great lighting, perfect place to impress a colleague, date, or go with a group of 5-6. Definitely a good lunch/dinner/drinks spot. Food - Great presentation, very flavorful and true to the menu descriptions. Appetizers were good portion sizes, and the wait staff was clear about how many servings were appropriate for our group. The shrimp dish did come out cold, but the rest of the apps were very tasty, epically the vegetable samosas. My entrée the lamb vindaloo was one of the tastiest I've ever had and someone else ordered the lamb chops which were equally as delicious. Long story short - Go with the Lamb! As for Drinks, the house wine was a food network approved sparkling white that complimented desert perfectly; and it's clear that the mixologist they had create the cocktail menu is an ace. All of the cocktails were unique, delicious and made just perfectly! Drink Up! Service - The wait staff was excellent, very attentive, polite and eager to make the experience top notch. Our waiter in particular knew the menu well and made several suggestions as we moved through the courses. In general, great place I will be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.434555556; Sentiment_Subjectivity (from 0 to 1): 0.594166667 [/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: Simply the best in the area in my personal opinion & lunch special thats greatly priced.. You will not be disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.23452381; Sentiment_Subjectivity (from 0 to 1): 0.504761905 [/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: this place is fantastic.  upscale and delicious indian food. right amount of spice level, not too hot or mild and you can really taste that they use quality ingredients.  I catered my wedding food from here and they were nothing short of wonderful to work with, including offering food tastings and working with me on pricing. In addition, they worked the special arrangements I needed.  My guests raved about the food for weeks after the wedding.  I would recommend this restautrant to anyone looking for a quality indian meal in an upscale setting.   Their dum aloo, malai kofta, panch ratni daal and daal tadka are very very good. for dessert, their ras malai is fantastic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466926407; Sentiment_Subjectivity (from 0 to 1): 0.685194805 [/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 went with my team for lunch - we had a wonderful time. I highly recommend their Punjabi Goat Curry (one of the best that I have had in New York), Kakori Kebab, and Andhra Chicken Curry. They also served an unusually good mixed pickle yellow sauce in addition to the green and tamarind dipping sauces. The service was great, trendy decor, and they gave us free rice pudding at the end of the meal! This is my new fav. Indian place in downtown and will definitely go again to check out their bar/lounge!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.302337662; Sentiment_Subjectivity (from 0 to 1): 0.557077922 [/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: Delivered from this restaurant several times, food is always warm, very well flavored, fresh, and delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.42; Sentiment_Subjectivity (from 0 to 1): 0.48 [/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 am an Indian living in US for 3 years now. Benares is definitely the best Indian restaurant I have been to in US !! The Banarsi kachori was great. We also had Baingan Mirch Ka Salan, Nawabi Subji, Paneer Bhurji and Soy Tikka Masala, which were all distinctive in flavor (unlike a lot of Indian restaurants where all the dishes with red gravies taste the same) and delicious. The ambience was great too ! The music was very good and different, unlike other Indian places which have the same 90's Hindi film music. The portion sizes were good and the service was attentive. I will definitely be going back here !!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.379; Sentiment_Subjectivity (from 0 to 1): 0.487 [/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: Of the six restaurants we dined at in New York City over the period of 4 days, this was the best experience. Hands down - no question about it. Food was as authentic as it gets - especially for an India like me who is very picky about his food. Service was better than expected. They took care of every little thing and more with a smile on the face. This was an amazing experience. We will definitely return here during our next trip to New York.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.228644781; Sentiment_Subjectivity (from 0 to 1): 0.463198653 [/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 new Benares is a amazing addition to this neighborhood. As a foodie, my expectations are high and yes, they rock!! The food was graciously presented and super delicious, the service was top of the line. The Maître-D took care of us so well, the waiters were cordial and just enough, the flair-bartender/sommelier  took care of wine and drinks like no other.. We were amazed and will recommend this Indian fine dining to all of you guys!! For the first week open, they really gave us a superb experience at a normal NYC price, incredible. If you like being taking care of, you have to try it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.402215909; Sentiment_Subjectivity (from 0 to 1): 0.60130303 [/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 Indian food, and have eaten it in many cities. This is as good as you could hope for, particularly in a most foodie void around the WTC.  Had Christmas Eve dinner here, and then decided to come back again for Christmas dinner.  The service was excellent (particularly on the second night when the staff recognized us and warmly welcomed us back!). I'd make this a regular go to spot if I lived here, but as it is I visit often enough I hope to have many good meals here. The vindaloo is particularly delicious, not thick and overly tomato based like so many of the west coast indian dishes I have had. Highly recommended.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.387592593; Sentiment_Subjectivity (from 0 to 1): 0.462514245 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here on a Sunday night while in town on business.  I was in the mood for Indian and Benares did not disappoint.  The dining room has a good ambiance - a generally cool vibe.  As appetizer, I ordered the khosta gobi - lightly fried cauliflower in a spicy sauce.  I had never had this before - fantastic!  I'll order it anywhere I can find it from now on.  For dinner, I had the dal makhni.  It was solid quality - the basmati rice was particularly nice.  I'd definitely come back when I'm in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.31875; Sentiment_Subjectivity (from 0 to 1): 0.55625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok. It's a nice looking place that would be good for a few drinks with your food. I found their curries to be fairly basic and the chicken inside was a little over cooked. The place still seems like the best Indian food in the neighborhood, so will have to try it again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1875; Sentiment_Subjectivity (from 0 to 1): 0.510714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Super awesome food and best service . Tried 3-4 times after that . Try all appetizers if going in a large group; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.636904762; Sentiment_Subjectivity (from 0 to 1): 0.598809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Among the finest Indian food in NYC. Most authentic North Indian flavors that i found in the city so far. Somehow its very less known and doesn't show up in most searches. Worth the visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.280555556; Sentiment_Subjectivity (from 0 to 1): 0.489444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After returning from Singapore I was starting to worry I wouldn't get my Indian fix nearby.  No worries, Benares is great: food is authentic and they're not shy with the spices.  It's as good as Indian back in Singapore, though admittedly more expensive.  Servers have been attentive as well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.294444444; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 placed my order and was told my food would arrive in 30 minutes.  After an hour and 20 minutes I called and was told the food would be there in 5 minutes.  The man I spoke to hung up on me before I could ask to cancel the order.  The food finally did arrive 15 minutes later and was cold. I called to ask for a refund.  I spoke to one man who told me he would credit me the entire amount.  Then suddenly i was speaking to another person who told me they were crediting me 15%.  In the end I paid $28 for soggy samosas and cold chicken.   Errors happen, but they won't earn any more of my business if this is the way they view customer service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.1625; Sentiment_Subjectivity (from 0 to 1): 0.696875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not easy finding a good restaurant close to the World Trade Center Museum.  This restaurant is just a few blocks.  Small to medium restaurant.  Seating was comfortable.  Decore is very nice.  Waiters are courteous and helpful.  Food was excellent.  Harabhara salad with cucumbers, radish and gucamole had a unique flavor and was good for 2 people. Laal lamb was excellent. We shared dishes and the sea bass was fresh and not overpowered with seasoning.  Traditional Naan bread very good as was tandori chicken. Portions are generous.  Great place to dine and relax. Would go 4 1/2 stars if this existed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.336018519; Sentiment_Subjectivity (from 0 to 1): 0.703518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came for lunch with a friend yesterday and I have officially added it to my "fave restaurants list". For the lunch special I ordered papri chaat as an appetizer (my friend ordered some salmon appetizer thingy which was delicious) and we both had the goan curry shrimp for the main course. It came with naan and rice. We were given pistachio kulfi for dessert but I ordered gulab jamun as well. The food was fantastic and I was stuffed! I have indian friends so I'm used to "authentic" south asian cuisine but I dont expect restaurants to have that "home cooked meal" feel because, hellooooo, it's a freakin restaurant! As long as the food is good, I'll be happy. Anyway,  it's a gorgeous restaurant. Very well kept and clean as a whistle. It's very easy to find and very convenient location wise. I would have given it 5 stars except the service was severely lacking.  Our waiter looked completely bored and uninterested. He wasn't rude but he wasn't personable at all! Cheer up sir! It was a beautiful day! Other than that, if you want an affordable, cute little lunch/dinner spot, Benares is the place to go!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.327413549; Sentiment_Subjectivity (from 0 to 1): 0.672845805 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 paneer makhani was abysmal. The gravy was poorly done and tasted like canned tomato puree. The paneer was like rubber very disappointing; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.59; Sentiment_Subjectivity (from 0 to 1): 0.755 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'll admit that I have not been to the restaurant...Benares catered a wedding I attended this past weekend, and I'm giving them the full five stars based on that experience. Without a doubt, this was the best Indian food I have had in New York City.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309090909; Sentiment_Subjectivity (from 0 to 1): 0.388636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fancy styled restaurant in downtown manhattan.  Food was good, but the portion sizes aren't the largest. Waiters dressed in suits seemed a little overkill.  If you're going to come here for the food, check out the lunch specials.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25625; 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: One of my favorites at Banares is the garlic naan . Also the garlic naan is very crisp and very mouth watering . I like the gulab jamen. If you don't know what that is it is a delicious fried balls of dough and dipped in this divine sweet syrup . The thing that I like most about Banares is the chips that you get for a starter .; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.598333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 left this restaurant feeling cheated.  To tell you the truth, I left feeling hungry/full.   If you have ever been really hungry before, yet you eat sub-standard food you will know what I mean.  I came here with my family on a Sunday night to a relatively empty restaurant.  You would think that would mean good service/food, but not at all! The food that we ordered is NOT authentic indian food.  They try to spice it up, but they are all wrong!  They have no idea what spices they are using.  I'm not trying to be a snob or anything, but curry is a blend of a different spices.  What I tasted in the dish I ordered was not 'curry' but a heavy hand of just a single spice.  I ordered the Andhra Chicken Curry.  The Andra Chicken Curry was horrible.   Dry bland chicken with too much of a certain spice - cloves.   I'm Indian and I know how South Indian chicken curry should be prepared.  This place left me feeling angry and annoyed.  Don't go here! Avoid at all costs! Always remember sort by date on yelp, not yelp sort. Also mandatory 18 percent tip for a party of 4 for lackluster service.  Place sux!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.238988095; Sentiment_Subjectivity (from 0 to 1): 0.619306418 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well I am from Benares and this food is not at all a sample of Benares food. The paneer in paneer makhani was chewy instead of soft. Mutton (goat meat) didn't have any flavor that it should have. Seemed like the food was made a day before and served to us on a Sunday night dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.35 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Being a close friend with the owner of an Indian restaurant in Hawaii I came in here with high, maybe unreasonable, expectations. However, Benares did not disappoint. The decor was a little dated and lighting dark but the food was excellent and the waitstaff friendly. I ate until I could no longer. Benares is well worth the visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249583333; Sentiment_Subjectivity (from 0 to 1): 0.506666667 [/INST] Not Spam</s>