Datasets:

syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bad experience.  Ordered chicken dish. Dish was dry.  Manager said that's how it would come again if they re ordered and walked away.  Left hungry. Shane.  Staff and hors d'oeuvres were good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.175333333; Sentiment_Subjectivity (from 0 to 1): 0.603333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was really good here.  Humus was very light and creamy.  Pita Bread was fantastic. Make sure you eat it when it is warm. Had the Dona kebob plate.  Lamb was great and complimented well by the sides of rice, cabbage. My one complaint is the staff that greets you is terrible and extremely rude. If you can get past the front door with a smile on your face, you will enjoy the food served to you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1975; Sentiment_Subjectivity (from 0 to 1): 0.608240741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is an UES staple!  So yummy and really not expensive.  The portions are big so I usually come with friends and we split a few apps and a salad and 1 or 2 main courses (depending on how many people I come with). 5 stars if they had BYOB - like Agora (both are good, Beyoglu is better though); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208333333; Sentiment_Subjectivity (from 0 to 1): 0.385416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 value. We got 2 meze and 1 entree for 2people, made us full enough for $30 total. Even adding desert (+$6) was great idea.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.39; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food! Enjoyed everything we ordered. Prices are more than reasonable for food and ambiance. Greek salad was so fresh. Bread just like you'd get in Turkey.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here is good. My fiance and I have been here quite a few times. The service, however, has never been great--but we've generally overlooked that b/c of the food quality and affordability. After last night, we won't be returning. The service hit an all-time low. We waited probably 10-15 minutes for ANYONE to come over to us after we sat down at an outside table, and a server only appeared after we flagged down a hostess and asked if there was anyone assigned to our section. After she took our order, we never saw her again. We had to ask two different people (a runner and a bus boy) for a side of tzatziki sauce, and neither of them brought it over. I then flagged down a waiter (not ours) and asked again. He eventually brought over a giant bowl of a sauce that was NOT tzatziki, but my fiance ate it since we were almost finished with our food by that point and we didn't want to wait any longer. Then when we got the bill, they had charged us $5.50 for the sauce! We looked for someone to talk to about the charge, and no staff passed by our table for another 5-10 minutes. I finally got so frustrated that I brought the bill inside to pay at the front desk. When we explained that we didn't order the sauce we were charged for, but rather a side of tzatziki, the hostess said she would take care of it. I then witnessed her speaking with the manager and BOTH of them rolling their eyes in our direction. Once the bill was paid, I explained to the manager that the service was really poor and that literally no staff member we spoke with EVER returned to our table (except for the waiter who brought the wrong/expensive sauce). His response? "Ok, that's your opinion." Really? I guess they're busy enough that they don't care about losing customers, but my fiance is in the hospitality industry and would NEVER speak that way to a patron, and certainly wouldn't say that blatantly bad service is "your opinion!" Needless to say, we'll be finding a new mediterranean place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.053957275; Sentiment_Subjectivity (from 0 to 1): 0.481564088 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch... Salad ingredients so fresh, lightly dressed! Excellent service ! Great Turkish wine!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.76; Sentiment_Subjectivity (from 0 to 1): 0.79 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pleasant place to be and all-around good value: good food and ambiance at reasonable prices. The service is conscientious but still chill. Have been here by myself both times but would also bring friends or a date.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.506666667; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap Mediterranean food that was really great. Will be back for sure. Octopus, doner and swordfish kebab were all good. The swordfish was somewhat dry but everything else made up for it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.388888889; Sentiment_Subjectivity (from 0 to 1): 0.589814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worst and most rude serivce ever experienced in the country!!!!!!!, not sure if it was for food or not, but we got sick couple of hours after eating here!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.175; Sentiment_Subjectivity (from 0 to 1): 0.791005291 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 excellent ! The food is homy and great. Prices are reasonable and my friend and I enjoyed seating at the bar !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65625; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We stopped just for sone appetizers. Grape leaves and the cumin/garic beef appetizers were so yummy. Had the octopus ceviche like salad. Falafel was light and perfectly coomed. But by far, we found the hummus to be the most amazing hummus ever - light & creamy, so good we ordered seconds. We sat upstairs which had more of an elegant resturant feel, the downstairs seemed like a noisy cafe. Totally would have given this place 5 stars if the waiter had smiled and had a personality. He seemed to be irritated by us not ordering drinks or main entrées. Even though by ordering 6 appetizers we had a fairly normal dinner ticket.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.432051282; Sentiment_Subjectivity (from 0 to 1): 0.679487179 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 would go back in a heartbeat for the food, but service left a lot to be desired. It took at least fifteen minutes for a server to even come over and say hello. The rest of the meal followed suit taking a long time to get wine and food. At the end of the night we were the last table upstairs, the dining room downstairs was still full and the restaurant was still open for another hour yet they put all the chairs up around our group and shut the lights off on us to get us to leave.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.273809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was my first time trying Turkish cuisine.  Like many others, we ordered the vegetarian platter that was served with fluffy naan-like pieces of bread. We then grabbed a combination platter of lamb and beef, served with a light yogurt sauce and had a glass of Turkish wine. Definitely something new and amazing, I highly recommend this jewel!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235795455; Sentiment_Subjectivity (from 0 to 1): 0.540984848 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: UPDATE In March my family had a party at Beyoglu to celebrate my Mother's successful battle with cancer, and we could not have been more pleased. The food was excellent - as always -  the service was great and the price was very fair. Joseph - Beyoglu's manager - was incredibly helpful and accommodating, and a total pleasure to work with. So whether it's dinner with your spouse or a celebratory party, Beyoglu is the perfect venue!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.706666667; Sentiment_Subjectivity (from 0 to 1): 0.872222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place ..food is perfect great taste great portions ,great prices too would give it a five but we made reservations and yet we waited for sometime once ..however it was worth the wait; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.658333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was very good, but the service was really very slow, and the waitress wasn't very attentive or friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35375; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, TERRIBLE service the last 7 times I have been there. I live nearby and it's a go to lunch and dinner place. No matter what time of day I go, or how busy it is, I literally NEVER see my waiter during my meal, so my beverage is not refilled, if I am missing an item I ordered, I have to get up and go find someone, etc. I was discussing this with my coworkers while we were there they other day for lunch and they ALL agreed that service has been terrible for them lately as well (they also live in the neighborhood). If the food wasn't so great, I don't think I would come back. My co-worker joked about just ordering take out from now on since the service is so TERRIBLE. BEYOGLU, PLEASE STEP UP THE SERVICE ASAP!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.13479021; Sentiment_Subjectivity (from 0 to 1): 0.518589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So amazing! Great for dinner with friends or a date night. Prices are right - had dinner for two (huge, couldn't eat everything) and a bottle of wine for 60 bucks. Platters are way to go. I got a salad to go a few weekends ago, too. Basically a Greek salad with chicken, large pita comes with it, for $10 (the beyoglu salad). Only reason I don't give 5 stars is the restaurant is super loud inside, so very challenging to hear. Great patio sidewalk seating of you can wait, though. Worth a visit!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.279166667; Sentiment_Subjectivity (from 0 to 1): 0.634353741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really put a damper on my weekend visit to New York. After a lovely day with friends, we went here expecting to get a quick meal and be able to get home on the earlier side. We ordered pretty quickly and were seated front and center upstairs but our food did not come for over an hour. The service was absolutely ridiculous and two large groups that arrived after us received their meals before us. The waitress looked like it was a total burden for her to serve us and got angry when we asked where our food was and tried to speak to the manager. The food was average - I got the swordfish kebab which was good but one of my friend's meals was cold which is unacceptable after waiting an hour and the other two did not enjoy their meals much at all. At the end of our meal my friend went to find the manager who was the only upside to the meal. He was very nice and offered us free baklava and rice pudding and coffee or tea. The baklava was good but not enough to make up for the waitress's unpleasant expression and tone of voice when she handed it to us. Overall, terrible customer service, mediocre Turkish food, and definitely not worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.032378713; Sentiment_Subjectivity (from 0 to 1): 0.614935065 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolute favorite neighborhood restaurant! The food is delicious and very affordable for NYC. The only thing...it does get loud but it's totally worth it. You can sit upstairs or outside for a quieter environment. BEST hummus in town!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.380555556; Sentiment_Subjectivity (from 0 to 1): 0.605555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been coming here once a month for years and tonight will be the last time. I have never encountered such rude and unwelcoming hostesses. Three times they lied to both my wife and I about our table being ready and then laughed when we tried to complain.  They were rude and acting like little girls. As someone who has loved their food and been going for years, I am thoroughly disappointed. Good job losing a loyal neighborhood patron (and their friends).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.091319444; Sentiment_Subjectivity (from 0 to 1): 0.495833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really loved this restaurant since it opened for it's tasty dishes and low prices! The service however has been slacking! My waiter took at least ten minutes to come over initially, basically threw my wine/food at me and then didn't come back with the check. It's a shame when good restaurants hire bad waiters!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0125; Sentiment_Subjectivity (from 0 to 1): 0.345833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Are they under new ownership?? I have never in my entire life had such terrible service as I did this evening. After going there for many many years I will not be returning! First they seat us at a table where we are being rained on by the air conditioning. Then the waitress comes to take our order and tells us she will have to come back to take it because she doesn't have anything to write it down on and we are ordering more than one thing. Three times we ask for bread until finally we ask another waiter and then when he brings it over as she hears us commenting that it is about time we got bread she's standing there with the hostess just watching.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.077800735; Sentiment_Subjectivity (from 0 to 1): 0.518342516 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On an off day at an off time we went to eat in restaurant. Not my choice after previous experience. No wait. Service was okay. Food excellent. Its just not the best atmosphere... I think I can compare it to shopping at the UES Fairway...busy and impersonal with no common courtesies. The end result is good but the experience lacks. I really wish the staff had a better ability to make eye contact...especially front of house. A look and a smile can really solidify a great meal. Saying goodbye is a good habit too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.490277778; Sentiment_Subjectivity (from 0 to 1): 0.451388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here for dinner tonight because there's always a crowd outside waiting to get in and because the reviews were great. The restaurant is certainly attractive, and the plated food comes out of the kitchen looking beautiful. And I have to say the vegetarian appetizer plate of five items with fresh bread was truly great, except for the annoyance that it came with only one spoon, and using one spoon on the five items had the effect of mixing them all together, which took away from the almost perfect and unique flavor each of them had separately. (In Turkey they all come in separate small bowls so the flavors don't mix.) When I asked the waiter for more spoons so the items would not all mix together, he said "It comes that way from the kitchen." which annoyed me a bit, since that didn't matter to me. How hard is it to just give me a couple more spoons? I read that the staff had attitude, but tonight I also got to experience that, and I have to say I didn't like it. Anyway, despite the appetizers being great, most of our dinner items were less than inspiring. The lamb casserole special sounded like it would be really good, but was not that special. The server who tried to fillet and debone my dad's Bronzini table-side made a mess of it, and my dad said it also was below average. I did love the sigarra borek, and the falafel was cooked well on the outside so they held together, but still soft and moist on the inside. Overall the flavors of Turkey were really toned down and bland, and I know it's hard to please everyone. All-in-all, this would be a noisy and fun and comparatively low-priced place to have drinks and appetizers with friends if you're young and not too concerned about the food living up to your standards. We've traveled a lot in Turkey and know how amazing the flavors can be, and this didn't live up to it. The service (maybe just our bad luck) was also less than satisfactory on a busy Friday evening at 7 pm.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.217414749; Sentiment_Subjectivity (from 0 to 1): 0.53482665 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 other turkish place on the upper east side can beat beyoglu! Prices= amazing! service= fantastic! food= very memorable and large portions! I've lived on the UES for 2 years and this is my go to restaurant whenever I want turkish  or want to treat my guests to a yummy turkish meal! I love the salmon, branzino and of course the turkish salad! The hummus is also fantastic and my husband loves their kebabs!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.462946429; Sentiment_Subjectivity (from 0 to 1): 0.637946429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in for light dinner. Seated fairly quickly, drinks arrived immediately. We ordered dipping apps like tatziki that was so rich and creamy and flavorful. The hummus was creamy as well, so flavorful, best ever for both. We had a small plate of red beans with potatoes, carrots, lemon, olive oil. Another app was a tomato based with minced onion, peppers, cumin, and something else I couldn't figure out, delish. This all came with a bread that looked like a flattened, round bread with sesame seeds that was warm with a crispy crust and a chewy bite. Yummo! The second half of apps included iodine-y shrimp (yuck) that was a little overcooked, small fishy crab cakes with a tomatoey sauce they was good, and a Greek salad, no big deal. I wasn't digging the grape leaves. Overall, I enjoyed the first half of our meal, not so much the second half. I will definitely be back to try the other small plates or appetizers that they have to offer. It was pretty good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.143364198; Sentiment_Subjectivity (from 0 to 1): 0.346604938 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant really has a delicious menu. From mezze to hot platters the presentation, taste and generosity are quite lovely. I always pass by when I am in the neighbourhood and never fail to have their mezze platter at any occasion. Highly recommended.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.393333333; Sentiment_Subjectivity (from 0 to 1): 0.606666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Horrible. 1.5 hour AFTER our reservation time. When finally seated, service was ok since by then the place was mostly empty. Food was tasteless. Hot food was served lukewarm. Beer was warm. All of the male waitstaff had body odor issues. Disgusting. Want good turkish food? Do not go here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.065; Sentiment_Subjectivity (from 0 to 1): 0.705 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by with my baby and stroller several times during lunch and finally decides to stop in to eat. They said they don't have room for strollers (the restaurant was empty). Ok... Noted not kid friendly. So decided to take my hubby for date night. We enjoyed our experience so much the first time that we returned for another date. The first time was early spring and I was wearing a more modest outfit. Tonight though they told us they only had room at the bar. I was wearing a cleavage revealing but tasteful dress. Admittedly it is more a west coast style than an UES style. But not at all slutty. They don't take reservations so I know that the tables I saw empty were not reserved. They told us that a table would be available in a half hour. But mysteriously a table never opened up... Felt like if I would have been wearing a more modest outfit we wouldn't have had this problem. Food quality does not make up for the discrimination...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.195416667; Sentiment_Subjectivity (from 0 to 1): 0.536666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very affordable for Manhattan. Staff were friendly and efficient. We had the Mediterranean sea bass special ($20) and the large meze platter for a late-night topper off light meal. Meze was especially tasty. Wine by the glass (pinot noir) was passable. Would like to come back when we are hungrier to try the kebabs or other entrees.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.141269841; Sentiment_Subjectivity (from 0 to 1): 0.486111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 amazing. Beautiful decoration, friendly staff and the food...heaven in my mouth. I don't come here often being that I live in Long Island but when I do, I make sure to order my usual. I mainly come here with my sister. We always start with the eggplant with tomato (which is seasoned perfectly) the calamari (crispy and chewy) and the hummus (simple yet tasteful) and we split the grilled chicken breast entrée since it's a huge portion. Oh yeah, also try their apple tea or their cherry juice. I order this in the winter and summer! This is our favorite dish here. This restaurant is a must!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.293073593; Sentiment_Subjectivity (from 0 to 1): 0.659240363 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to open a Yelp account for this place. :) Great spot! I went in search for some Turkish food yesterday and came across Beyoglu. I am a huge fan of Mediterranean food and I stumbled upon this little gem while in Upper East Side. Delicious food! This is a relatively small restaurant. However, it is very popular! The prices are very reasonable and the food is great. Great place for dinner. The Doner Kebab...Super delicious. My other favorite item is the Beyoglu Salad. I thought it was a decent amount of food. We saw others order the Iskender Kebab and Tavuk Izgara, and all seemed to be enjoying. Everything here has great flavor and taste. Regarding the service, I think everyone has been specially helpful and nice. The staffs are very nice and kind. The owner is super friendly and absolutely charming. Go try this place out. I'm looking forward to trying the Tavuk Izgara and other items. Really really unique and awesome!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.469094388; Sentiment_Subjectivity (from 0 to 1): 0.740527211 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A little bit of Turkey in NYC! Sitting outside in the last sunshine of the day, we tried the meze plate and the Iskender Kebab: it was great! Having lived in Istanbul for 3 months a few years ago I think I have a pretty good idea of what those dishes should taste like, and this came surprisingly close! The wine menu is a bit small and has some Turkish selections, leaving little room for other wines. Did not try the deserts so cannot comment on that. 4 stars and definitely worth a repeat visit soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.17734375; Sentiment_Subjectivity (from 0 to 1): 0.411805556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only the best things to say about Beyoglu! I just graduated from college and my mom wanted to put together a post-graduation lunch for my group of friends and our families. Beyoglu was one of the only places in the city that we could find that was affordable and allowed us to have a private room. My mom dealt with Joseph, who was so helpful and even came in on a day that he usually doesn't work to make sure our party went smoothly. The food was absolutely delicious!!!  We had one or two families with dietary restrictions and Joseph made sure that we had plenty of food for them. Everyone who served us was so nice, helpful, and attentive. We are so lucky to have found this place! Overall, excellent experience! Special shout out to Joseph!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.400873016; Sentiment_Subjectivity (from 0 to 1): 0.700502646 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent food and value. Service was a bit slow, but restaurant was packed, so you can't fault them too much for that. Would definitely go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love their lamb dish and pilaf. Good atmosphere. The waiters their were very nice, some were just okay which was not really a problem because the food was great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.53; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Inhospitable service, rude on the phone and at the door.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.3; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been here twice before and had mixed feelings but I dropped in today for a quick lunch date with my hubby because we are vegetarian on Mondays and had limited options. The restaurant was super busy for lunch but we were seated right away.  We had the greek salad and the small veg mezze platter with their big round bread (yum!) - everything was fresh and delicious, and the perfect amount of food.  We even had half of our mezze platter left over because we were full. Service was fast and efficient but we weren't rushed out at all. Prices were super reasonable. Overall it was a great lunch and I'll definitely be back soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204437229; Sentiment_Subjectivity (from 0 to 1): 0.414935065 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 neighborhood spot. I'm there at least once every month and it's my go to spot when my friends come up to the UES. Food and wine are great, and the prices are very reasonable. Love having such a solid restaurant in my neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.294285714; Sentiment_Subjectivity (from 0 to 1): 0.554285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Apps are excellent and large, varied and something for everyone. If you love exploring foods this is a great place. But there are also familiar dishes for the timid. Prices are very affordable if you stick to the apps. One of my favorite places to go in the city. I'm never disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.495535714; Sentiment_Subjectivity (from 0 to 1): 0.666071429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Took Mom here. Atmosphere is charming. Service is excellent. Octopus was delicious. We had fish of the day and the swordfish. I ordered an extra side of yogurt sauce for the swordfish (it could just be how swordfish is, you know? I don't have it much). But overall a great experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.528571429; Sentiment_Subjectivity (from 0 to 1): 0.578571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I wish I could eat this meal all over again. It was SO good. My friends and I were hungry after exploring the met, so we looked up Mediterranean in the upper east side and this looked like a great bet. Boy oh boy was it ever! We were seated right away upon arrival at the restaurant and although it was a bit crowded, the wait staff did everything they could to make sure we were comfortable. There was 4 of us and 1 vegetarian so we ordered 2 meat platters, one veggie and an order of falafel and split it family style. It seemed appropriate at a Mediterranean place to do so. The falafel came first and you could tell it was freshly made . It was so perfectly seasoned and crispy on the outside with a cool hummus dip to go with it. Beyond delish! Next were the platters, both vegetarian and meat! The vegetarian had some really delicious hummus, spinach and tomato dishes and came with the creamiest tastiest green yogurt I have ever had. I almost mistook it for sour team. The meat platters came with thinly sliced lamb and beef and roasted tomatoes along with a creamy tomato sauce. The savory meat with the creamy sauce...I'm getting hungry just thinking about it. Yum. Just. Yum! All the platters were served with traditional bread and whenever we asked for more, the servers would bring it in 2 mins. It was such prompt and kind service, especially for NY!! Plus too, it's in such a nice area, I can't believe the prices are so reasonable. There are complaints of having $20 minimum on credit cards, but it's not too much of a hassle if you're going with someone else and one bite of falafel or lamb and you'll forget it was an issue anyways. Please go here if you're ever in the UES in NY!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.268681319; Sentiment_Subjectivity (from 0 to 1): 0.540689866 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved their food and service. The place is cosy. We've tried a few things on their menu and all the dishes were good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; 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: Pros: nice vibe, pretty decor, good service, highly recommend meze plate (combination of homemade yogurt, hummus, eggplant spread, seasoned spinach, tabbouleh, and other wonderful things to dip bread into) Cons: I thought the Iskender kebab was too salty and needed something starchy or more bland to complement it (like pita or cacik yogurt sauce); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.352037037; Sentiment_Subjectivity (from 0 to 1): 0.677592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A group of friends ordered a variety of vegetarian mezzes.  Everything was so fresh and delicious.  The hummus was absolutely amazing and the bread keeps coming.  It was a very reasonably priced meal.  I would go back for the hummus, falafel and Efes alone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.432; Sentiment_Subjectivity (from 0 to 1): 0.636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 not qualified to say if this is authentic or not. You need to consult the Mayor of Istanbul on this. As for this average guy, I found everything served up to be delicious, enjoyable, tasty and worth every dime. Check out the menu. If you see something you might like, give it a try. I cannot imagine you will be disappointed. I will be back and try some new stuff. I expect you should take this as a firm recommendation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148484848; Sentiment_Subjectivity (from 0 to 1): 0.494949495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Mediterranean place in the UES! Great price for a great dinner, I have been here on a few occasions and it is especially nice when it's warm to sit outside. I would recommend the hummus it is amazing! The falafel is good as well, also the roasted vegetables are great to mix in with the hummus and pita bread. They also have a good shrimp dish Can't wait to go back :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.544230769; Sentiment_Subjectivity (from 0 to 1): 0.623076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 go here fairly often, usually to catch up with friends. It's also a great place to bring out-of-town guests, as it feels fairly bustling and trendy without being too expensive. The decor is great and you can sit outdoors which makes for a lovely dinner during the summer. Highly recommend the doner kebab.  The meat is tender and flavorful, and the rice pilaf is truly delicious as well (pilaf can be so blah, but not at Beyoglu).  If you're not very hungry, the Beyoglu Salad alone makes for a delicious dinner when paired with an appetizer -- in particular, the hummus is excellent.  In general I don't love hummus, but I always have to order it when I go to Beyoglu.  Meals also come with complimentary pita-type bread, which is ridiculously delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.468148148; Sentiment_Subjectivity (from 0 to 1): 0.704074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent food. One of my favorite restaurants in New York City. The service can be either ok or very good but never awful. Always tolerable.  The food makes up for any lack in service. Absolutely worth trying.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.549480519; Sentiment_Subjectivity (from 0 to 1): 0.690649351 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh mannnnn, the hummus is awesome, the best I had in my life so far. Reasonable price too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG, so delicious. My favorite Mediterranean in the city. The hummus is literally crack and its served with freshly baked pita bread. And this place is super affordable. I love the Iskender kebab, but everything else I've tried was always amazing, including the baklava for dessert. So unreal. Also a great ambiance, always full, very clean, just perfect.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.586; Sentiment_Subjectivity (from 0 to 1): 0.787666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and rich in flavor. The warm pita bread is awesome. With tomatoes in my salad it tasted great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.755; Sentiment_Subjectivity (from 0 to 1): 0.82 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here last night with a small group. Even though the place was packed we were able to be seated right away. Great atmosphere! I had the swordfish and it was right on point. One of the best meals I had during my stay. I really enjoyed this place, and will make sure to stop in again on my next trip to Manhattan.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.382142857; Sentiment_Subjectivity (from 0 to 1): 0.480198413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 meze; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worst customer service ever!  Last time I went with my husband we ordered a salad and asked for the tomatoes on the side because he likes tomatoes and I can't stand them.  They refused even though the waitress claimed that the salads were not pre-made.  How hard would it be to put the tomatoes on a separate plate or on one side of the salad.  She said, "we do not do that".  She even sent the manager over to tell me the same.  We left thinking the food was good but service was so rude.  Today I made the mistake of going back.  After a nice lunch my friend and I handed the waitress 2 credit cards to split our $30 bill.  She insisted there was a $20 minimum per credit card and refused to take the cards and split the bill.  She was so rude and not apologetic that I did not even want to leave a tip.  I ended up paying the bill and my friend gave me the cash, but it is their attitude that makes the meal completely unpleasant.  Too bad because the food and price are good, but there are so many restuarants in NY - who needs the attitude!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.044047619; Sentiment_Subjectivity (from 0 to 1): 0.517857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a delicious, reasonably priced meal here this week. Shared a large sampler, Greek salad & stuffed grape leaves with two other girls. Just the right amount of food - and the hummus was amazing! My only complaint would be that it was incredibly loud inside & a bit hard to chat. I would definitely return here again, though, for a delicious $10 dollar New York meal!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.214556277; Sentiment_Subjectivity (from 0 to 1): 0.595392703 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is with great pleasure that I write this review of Beyoglu. I have have been dining here for about a year, seeing Beyoglu become a well known establishment in the U.E.S. During this time, I have enjoyed many Doner and Iskender Kebabs as well as drinks.      I am a huge fan of the management here because I know Josep and he take work seriously and demonstrated a passion for fresh food. To this date, I am still greeted by Nina and Georgie as if I am family at Beyoglu. In addition, Josep is a very personable young man who can relate to people in a very positive way.     I truly believe in Beyoglu and their ability to produce good food and succeed in the restaurant world.  It is quite a fine restaurant in the Upper East Side and I highly recommend this establishment to anyone who may pursue an afternoon or evening here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310675991; Sentiment_Subjectivity (from 0 to 1): 0.543519814 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with amazing food and reasonable prices. I always leave satisfied and not broke. The meze platter is out of this world.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.8125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!! Omg! Food is so delicious !! My husband and I are totally hooked!! The service thou could be a bit faster;(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.658854167; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've eaten here many times, and have even ordered out once. I attempted to order out today, but they only offer the large platter to go and not the small. I agreed to the large, but then after placing the whole order, they wouldn't let me pay over the phone. I wanted to prepay for the food that my sister would be picking up. You would think they would want the money upfront! It's crazy. They refused to accommodate me so I canceled my order. I also find their stroller policy a little confusing, sometimes they say no strollers even outside the restaurant, but many times there are people with strollers. It's inconsistent. As a lower priced restaurant on the UES you think they would be more family friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.093543956; Sentiment_Subjectivity (from 0 to 1): 0.500549451 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, good sized portions, decent price for the city. Will definitely go back in the future.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313333333; Sentiment_Subjectivity (from 0 to 1): 0.398333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some of the best Turkish food I've ever had.  Love the lamb dishes!  Always crowded, you want to go on off hours, and sometime their popular dish runs out, usually by 9, so you want to get there early.  I prefer sitting downstairs versus the upstairs, or the patio if weather permits.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.415; Sentiment_Subjectivity (from 0 to 1): 0.47 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My wife and I still love this place after several years.  Consistently great.  One of our go-to's on the upper east side.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.3375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is my absolute favorite spot in all of Manhattan. I happen to live right around the corner, but if I lived on the opposite side of town, I would still make every effort to go as often as I do (which is a few times a week). The food is mouth-watering good for very reasonable prices. The service is not only great, but the entire staff (espeically the main host) is always polite and a pleasure to talk to. This place is worth the wait!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.280267471; Sentiment_Subjectivity (from 0 to 1): 0.583860544 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such a shame. The neighborhood classic disgraced by incompetent, rude new staff. We used to come here several times a week. The new host staff blatantly lied to me about wait time. It's quite disgusting and shameful that a good restaurant like Beyoglu can be left in the hands of awful people who don't care about its reputation. I will never return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.167550505; Sentiment_Subjectivity (from 0 to 1): 0.47020202 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went here on a Saturday, when my wife and I wanted to have a quiet Saturday night. I think from a quiet perspective, this place was a miss. This place is LOUD - there is a lot of commotion and loud music, which we would have enjoyed, if we had been in the mood for it. My rating for this restaurant is driven solely by the food, which was amazing and one of the best Mediterranean I've had. My wife ordered the veggie platter (small), which was huge. It had a good combination of dips and small plates. I ordered the lamb special, which was basically lamb chunks on a bed a eggplant sauce. The lamb was fantastic - succulent, juicy and delicious. And, I loved the eggplant base - licked it off the plate. I had never imagined the combination of lamb and eggplant, but now I love it, and would probably go here only for that. We didn't quite order any wine, except a glass of Turkish wine (Yakut, I think), which was ok. For desert, we ordered the almond flan, which could have had little more almond. But overall, it was good. Great place, amazing food!! Service was swift and friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333928571; Sentiment_Subjectivity (from 0 to 1): 0.638003663 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Beyoglu last night and greatly enjoyed my meal there.  It was very surely affordable, and the food was high quality.  We started off with the Meze platter which had ample quantity of 5 different dips and cold salads for 2-4 people to enjoy.  Each one of these was far above average (I use greek names as that is what I know them as) ... a hummus that was rich, creamy, with a good flavor of tahini to it.  Baba ganouj that was light and savory, tsatziki that was extraordinarily creamy and the flavors were perfectly balanced, and a moist tomatoey tabouleh that was very pleasing.  Also had the tarama, which came in an ample portion, and was neither too salty nor too fishy and overall delicious.  All of the above were served with freshly baked bread that was ample in quantity and the perfect balance of crusty and chewy.  Tried the crab cake meze also, which were tasty and made from good crab.  My dining companion had the grilled chicken, which included 3 succulent grilled chicken breasts, rice, and grated carrots and onions.  Simple, very tasty.  We came in hungry and left happily satisfied with a big bag of leftovers. Our server for the night was passionate about the food and well spoken and intellegent, and service was actually alarmingly fast.  I'm used to waiting for my food, and it took about 3 minutes between ordering our appetizer and its arrival at our table!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211510417; Sentiment_Subjectivity (from 0 to 1): 0.580119048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First off, let me say, the food is good. We had a mezze platter to share and it was delicious (how can you go wrong though with hummus and cucumber yogurt?). I also had the Beyoglu salad, great portion for the price, and tasty to boot. That aside, the service was horrible. Our server came out once to take or order and we never saw him again. We never had waters filled until we paid our check. And lets talk about that. We tried to pay by spliting it with our cards but were told "o, sorry, we have a $20 minimum on all cards because the credit card company charges us if it's under $20." First of all, there are no signs anywhere saying that, and second, it goes against your CONTRACT with credit card companies to have a minimum AND thats how credit card companies make their money and something you as a business owner have to suck it up and deal with, duh. Had we had a great meal and stellar service, I probably could have overlooked the minimum, but the inattentiveness, attitude, plus the ridiculously over the top minimum set us off. Which is sad, because the girl who picked the place said "I come here all the time and this hasn't happened before, I don't think I'll be back now." Well neither will I.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.106862745; Sentiment_Subjectivity (from 0 to 1): 0.642156863 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 obnoxious. My waitress had 3 tables and I honestly felt like she was bullying our table into leaving. All she had to do was tell us she was leaving and we would have moved. To top it off, she sat at the bar afterwards. Service = Fail.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; 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 have been in this place couple of times and have to say that their food is always excellent and delicious!!! Great service, the price is good, and they have relaxing atmosphere. TRY THEIR HUMMUS! M-M-M...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.91875; Sentiment_Subjectivity (from 0 to 1): 0.8375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 value, very fresh food but can get a little boring if you go there too much. Lobe the cappuccino and chocolate bomb ice cream dessert. They don't have Chardonnay by the glass, though.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0405; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: hummus!!!!!!!!! warm bread!!!!!! i love this place. when i'm not eating here, i'm thinking about the next time I will be eating here, an UES must! (and if you don't live on the UES, I suggest you come and try it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.417613636; 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: Excellent food and service.  My date and I ordered the spinach apetizer and she had the Shrimp caserol (cant remember actual dish names) and i had the Lamb kabob. Everything was cooked to perfection, we ended up having such a good experience that after we finished our first bottle of wine, we ended up ordering another one instead of desert.  Staff is also very friendly and attentive, absolutely nothing to complain about.  Will be coming back again over and over.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.553703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love this place, but lately the service isn't up to par. And not to mention that at 7 pm on a Sunday they were out of all lamb dishes ... that's their specialty!!! After telling us that, the waiter disappeared for a good 20 minutes and never even brought our drinks. I don't think we'll be going back for a while.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.153515625; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been a regular customer to Beyoglu for three years now - sometimes coming over 4 times per month. Love the meze platter and the bread! This is my favorite restaurant on the Upper East Side and my go-to spot for taking family when they are visiting.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28125; Sentiment_Subjectivity (from 0 to 1): 0.419230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't bother with the other Turkish restaurants around here. Go to this one. First time I went was with a Turkish friend of mine, and she essentially laughed all legitimacy out of the other ones. Onces the food came, I began laughing along with her. I've been back a couple times since. I'm not sure about the service issues that others have mentioned; I've never had an issue. They've always been easy, courteous, and given me good services. Eat up!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262037037; Sentiment_Subjectivity (from 0 to 1): 0.511728395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Here are my favorite Turkish restaurants in the city: Turkish Kitchen (probably the best), Uskudar, Sipsak and Beyoglu.  Three of these restaurants were founded by current Sipsak owner, Orhan Yegen. The menu at Beyoglu has too few dishes.  However, the mezze they have are worth the trip.  I am originally from Istanbul and I no longer miss dining there, thanks to living close to Beyoglu. My favorite dishes are: eggplant salad, eggplant in tomato sauce, stuffed grape leaves,  spinach braised in olive oil, shepherd salad, lentil soup, and doner kebap.  Once in a while they have some great specials: if you visit on one of those lucky days, do try mucver, manti or islim kebap (a lamb dish).  Skip hummus, Babaganoush, or falafel: not because they are not good, but because they are not really part of Turkish cuisine, you can have those in a lot of other places.  If you want to try a Turkish wine there, I'd recommend Kavaklidere or Sevilen Okuzgozu.   Vegetarians can also enjoy a variety of dishes from the mezze menu. Prices are very reasonable, one can even consider them to be cheap given the neighborhood. On the other hand, the dining room on the lower floor is a bit too noisy and whoever is in charge of the background music could do a better job. If they are reading, here is a note to Beyoglu management: I am very disappointed that you no longer accept take-out orders.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.194385965; Sentiment_Subjectivity (from 0 to 1): 0.549385965 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was delicious.  We ordered several meze plates, as expected they were small in size, like tapas.  The small size was deceptive because they were so flavorful.  The staff was helpful without being intrusive, and overall just great place to eat after a morning at the Met.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.171428571; Sentiment_Subjectivity (from 0 to 1): 0.421428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: UES fave! It's my go-to at least once a week. Inexpensive, delicious and a few blocks away from me. The wait staff excellent. Downstairs vibrant. Upstairs quiet. Outside packed!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.238095238; Sentiment_Subjectivity (from 0 to 1): 0.45952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my usual Sunday late lunch stop, with artist brainiacs. I look forward to dining here on every trip to NYC. The bread is fresh baked hourly I am guessing, the hummus and vegetarian platters will convince you to stop eating dead cows. But the kebabs and falafel will satisfy a picky eater not sure about this tasty cuisine. Friendly, clean attentive service...I think we have learned that the servers don't  know for sure when you're ready to order, so a nod or wave gets them rolling. The food comes in quick succession, the teas are flavorful. We never call for a reservation, and usually get right in, .for weekend dinners , one might plan, if more than four.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.143622449; Sentiment_Subjectivity (from 0 to 1): 0.565249433 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 would give it more stars if the service was better and they allowed delivery and pick-up. I've been a regular there for quite some time and they don't care about repeat guests. They're always crowded. Reasonably priced good food, but I've had better dining experiences in Manhattan. I would recommend going there on a slow day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.453846154 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 MORE TAKEOUT (and I believe I might have contributed to that. Take a look at this piece from earlier this year: answerguy.com/2012/03/05…) I used to love Beyoglu. Truth be told it was never anything special, but what a great way to pass a couple of hours on a nice day. A few small plates, a couple of glasses of wine, and a view, all for under $50 for two, on the Upper East Side. I mean, WOW! But the more I ate there there more I realized something was not quite right at Beyoglu (see the link above for details on that story). Last night, we called Beyoglu for takeout, despite what I tell there. Surprise! "we don't do take out any more". A real lesson in bad customer service. Buh-bye, Beyoglu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.139755639; Sentiment_Subjectivity (from 0 to 1): 0.488314536 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friends and I were definitely mistreated by the notorious hostess at this restaurant.  Seeing that we were 3 not so rich college minority females, she told us to wait by the bar to get seated because we were waiting for two other people. Meanwhile, half the restaurant was empty. OK. About 15 minutes later, we're still waiting, an old Caucasian man with gold buckles on his shoes comes into the restaurant. He was also waiting for two guests. What happens? Does he wait by the bar like us? No. He gets seated immediately with 3 glasses of water on his table. At this point, the restaurant is still half empty. We weren't seated until our two other friends came 30 minutes later. You know what else was really professional? The pointing and snickering from the hostess and waiters. After being so thoroughly mistreated, we couldn't really enjoy the food... I recommend this place if you're really pretentious and you look like you have a lot of spend. But did they really think that we are going to come back when we're older and have more money spend? If anything, I now know to never come back and tell everyone about how terrible the service is.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.012301587; Sentiment_Subjectivity (from 0 to 1): 0.350793651 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 excellent.  The doner kabab was an a+.   Awesome and reasonable!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 before going to the Metropolitan Museum of Art, it was a nice lunch even though we where originally going to just stop in for a quick bit to eat. We ordered a sampler and I really enjoyed the cucumber yogurt and hummus for sure, there were other sides which all had there own flavor (spinach, ezme, and 2 others) and the whole plate came with a fantastic bread (I think it had rosemary in it) and between the four of us it was gone ridiculously fast. After that we sat there for a while trying to get the waiters attention to get more but it did end up taking a while since we where just four young people all the way at the corner of the restaurant ordering one sampler to share. Once we flagged him down we got two more loafs and a second plate of the sigaro borek which was also very good. I'd have given it five stars but it was way too awkward sitting there and waiting every time we ordered especially since we had places to go. Still, food was delicious and it was my fault we picked that corner seat. Check it out some time, its really good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326888889; Sentiment_Subjectivity (from 0 to 1): 0.659138889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great atmosphere and quick friendly service. Love, love the food. Had the red lentil soup and mixed meat platter that I shared with hubby - definitely large servings recommend sharing. Would love to go back again next time I'm in NYC and on the way to metropolitan museum.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.292965368; Sentiment_Subjectivity (from 0 to 1): 0.384415584 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: review for 7/18/2012 After going to the Metropolitan Museum, and Central Park, I was in NEED of food. It was crazy hot, and I wasn't going to eat an overpriced pretzel. After reviewing the Yelp reviews, I decided to trek over to this place, and enjoy a meal. As I am walking in the door, the place is virtually empty (YAY), and the hostess greeted me promptly with a smile. The decor was simply nice... Nothing extraordinary, but nice I was seated by the window, and within 2 minutes I had ice water (Yes! It was hell hot outside).  Since I was getting back on the road, I needed something nice and light, but filling. The server, Lauren (or Lori) came over, and this lady has a personality and smile made the dining experience nice. The white wine was  refreshing, and the bread was nice and hot! I order the ezme (spicy tomatoes, onions, and peppers) and Sigara Borek (filo stuffed with feta). Both dishes were delicious and flavorful. . For dessert, I order orange sorbet It was served in a frozen orange. This was the perfect finish to nice lunch on a blazing hot. When I got the bill, I was in shock! It was less than $30 with wine AND dessert. My wallet was as happy as my taste buds. I did notice that there were a lot of vegan options on the menu, as well as a variety of meat and seafood dishes. Basically, ANY ONE can eat here and be happy. Although the restaurant is small, there is a nice vibe that will have you keep your wallet and stomach satisfied.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.356388889; Sentiment_Subjectivity (from 0 to 1): 0.698888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food! Great prices. Can't ask for more on the UES. The staff is unattentive.. So I learned to order right away the minute they pour me water.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.583928571; Sentiment_Subjectivity (from 0 to 1): 0.671428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic!  Was wandering around looking for a place to eat late on a wednesday night - most of the places were empty, but Beyoglu was hoppin' so we figured we'd see if the crowds were right, and they sure were!  Great food, great service, and reasonable prices, will definitely be going back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.300974026; Sentiment_Subjectivity (from 0 to 1): 0.593145743 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favorite restaurant in New York and I have taken almost everyone I know here. Up until a week ago, I lived a block away and I'm so sad I am no longer in walking distance. The atmosphere is great, especially in the warmer weather because not only do they offer plenty of outdoor dining, the ground floor is all open air so its like you can be sitting outside even if you are inside. The decor is really cool with blue tile tables and yellow accents - you feel like you could be in a cafe in the Mediterranean (minus the Aegean cliffs and blue water). I would definitely recommend getting the hummus to start - it is excellent and they serve it with this delicious, fluffy bread. Be warned, the appetizers are small, but very good - I've tried most of them and really enjoy the calamari and the crab cakes when they offer them (I think it's a special appetizer). The portions for dinner are HUGE (which is amazing, given the very reasonable prices.) I usually get the Beyoglu Salad or when I want to splurge, the swordfish kabob, which is honestly the best swordfish I have ever had at any restaurant. they give you a lot of veggies and rice too so its a lot of food and you will definitely be able to take some home for leftovers. The Tavuk Izgara (chicken  kabob) and both lamb dishes are also excellent. The only thing to note is that they have a $20 minimum for cards that they are pretty strict about so make sure if you're only getting a salad or appetizers to bring cash since the prices are pretty low.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254419094; Sentiment_Subjectivity (from 0 to 1): 0.652698998 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A group of five people came here for dinner/snacks last weekend and we were quite impressed!  We ordered the Hummus, Cacik, Soslu Patlican, Falafel, and a few loaves of bread. It was a perfect amount of snacks for our group and everything was phenomenal.  The service and drinks were spot on as well!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.485; 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: The staff is very friendly and never lets your water glass go empty, which is a huge plus in my book. Although simple, the hummus, which comes with the most amazing hot bread is by far the best things on the menu.  We also ordered the Beyoglu salad and swordfish skewers, which were also delicious.   Outdoor seating in the summer time! Can't wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.42375; Sentiment_Subjectivity (from 0 to 1): 0.695714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Day / Time Thursday, 6:30pm, no reservation Food The food was great and served in large quantities.  Our wine glasses were filled to the top and the entrees came in generous portions.  We ordered the sigara borek as an appetizer, which was quite good (although different from other borek I've had) and then I had the doner kebab.  The meat was well-seasoned and went well with the rice.  I'm not a huge fan of lamb and I thought this dish was great because the lamb flavor wasn't overwhelming. Service Service was fine, we were seated immediately and our waiter was prompt. Atmosphere Casual atmosphere.  We ate on the second floor, which felt a little empty and didn't have a ton of character, but was fine for our purposes of casual dinner.  Well lit and fairly spacious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.213062169; Sentiment_Subjectivity (from 0 to 1): 0.635383598 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been to Beyoglu several times now and it's been a wonderful experience each time.  Some of the dishes are hit or miss but the HITS are awesome. We did a family birthday dinner for my mom and had a blast.  always busy so better to RSVP. We had a couple vegetarian mezze platters which were great to share.  The Tzatziki, hummus, cacik are especially good.  The bread for dipping kicks ass.  Gotta keep askin for more tho. Coupla orders of the falafels, which were ok but not fantastic and way too small to share. Calamari was also decent but not worth ordering again. We had a lamb special which was pretty good and a seafood special that was just so so. My ALL time favorites is the Iskander kebab with Pita, yogurt and Tomato sauce!  By far my fav dish here and one of my favorite Mediterranean dishes ever. Their wine selection is limited but reasonably priced, esp for a large party. Overall, great food, large portions, for a very reasonable price.  Great, fast service. For a party of two, a small veggie mezze platter and Iskander hits the spot with food to carry home, without leavin a hole in ur wallet. Definitely recommended!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.322912698; Sentiment_Subjectivity (from 0 to 1): 0.59131746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's nothing better than randomly walking into an unknown restaurant - intent on trying something new - and realizing you've struck gold. Even though I can't really say the name very well... I plan on taking every friend here until I'm sick of it! The atmosphere was lively on a Saturday night - small bistro tables for two and four. There was this Mediteranean/Romanesque feel to the decor, but with subtle undertones of Middle Eastern/Arabian influence. I loved how it felt so familiar and yet new and exotic at the same time. (I especially loved the large blue pot that was mounted on a stand next to our table - and kept saying so... hahaha) The menu consists of (very inexpensive $5-$7) tapas, or small dishes, that are easily shared between two people. We ordered three dishes. Filo rolls stuffed with light feta, a cucumber yogurt that came with a fresh roll of baked bread, and calamari (which came with a sauce I had never had before...felt my Italian roots begging for some marinara...but it was still very good. The food was definitely more than enough for the two of us,  and while we did not drink with our meal...wine would have paired PERFECTLY with this small meal. For dessert, we shared a "Gelato Bombola" (Imagine Tortufo) which was worth coming back for all on its own. Service was fine - very attentive- my water was constantly refilled and suggestions were helpful -  no complaints I think the bill came to around $30 (remember without drinks) - which is still good for food and dessert. Just be aware if you plan to split the bill - it's $20 per card minimum! Bottom line is: Great food, great atmosphere, great portions -- and best of all, an awesome place to catch up with a good friend over a satisfying shared meal. Bringing everyone here!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.298716727; Sentiment_Subjectivity (from 0 to 1): 0.520563231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant came highly recommended by a friend, but I found it underwhelming, with minimal vegetarian options. Decor is nice, traditional, but also underwhelming. There is plenty of seating, as it's 2 stories.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165; Sentiment_Subjectivity (from 0 to 1): 0.7225 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Happened upon this place while looking for a place to eat that could acommodate one picky almost-vegan, another generally picky eater and two other hungry folks.  On inspecting the menu I felt I could easily find something so in we went. They were very busy so we sat at the bar to wait for a table but were seated withing five minutes. They did have vegan items in the menu but, other than the falafel, they were all cold items.  So that would be my only beef (no pun intended) with the menu.  I'm big into having a hot meal.  Then again, it's my own damned fault I don't eat meat.  I had a bunch of sides and they were all tasty but, by far, my favorite was the pita.  I would've never even guessed that was pita but the waitress said it was and I would have been happy eating nothing but that all night.  OMG!  I don't much remember what everyone else had but my sister did have a chicken dish that turned out to be made with ground chicken and which she said reminded her of a Hungarian dish my mom used to make.  The portion was gigantic (four pieces) and she ended up taking 3/4 of it back home which is in itself remarkable because I have never seen my sister take left overs.  Ever. I would definitely go back. Just one piece of advice: please invest in some sound absorbing surfaces guys.  Noisy restaurants are so 1988.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116515152; Sentiment_Subjectivity (from 0 to 1): 0.619242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Terrific food. had the swordfish kabob and would highly recommend it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.08; Sentiment_Subjectivity (from 0 to 1): 0.77 [/INST] Not Spam</s>