Datasets:

syannn

/

spammer

like 0

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The restaurant is on the ground floor of a typical Park Slope brownstone You could walk right by it if you did not know it was there. The menu is impressive with many unique choices. The low celings, open kitchen and friendly service give a cozy feel to the restaurant The restaurant has a nice brunch menu complete with mimosas and sangria. I would suggerst the pupusas with a glass of the red wine sangria. The poached eggs and french toast looked amazing as they went by . I will return to try the dinner menu.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.247789116; Sentiment_Subjectivity (from 0 to 1): 0.563265306 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really nice mousaka and lovely décor inside. A bit expensive though as I had mousaka and my friend had lamb shank, no starters, no deserts or coffee just two lagers each. It came to over 60 dollars which I think is quite expensive.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.025; Sentiment_Subjectivity (from 0 to 1): 0.7875 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really enjoyed brunch at Jane. The ambiance is great and the food was very good. A bit over priced for what you get, but it's still a good time. Service was very good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.764; Sentiment_Subjectivity (from 0 to 1): 0.722 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We ate at the Blue Ribbon with colleagues. The New York strip was well cooked and tasty, however the trout was greasy and ruined the flavour of what was a very good piece of fish. Service was fine, the food was probably a little expensive for what it was.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.129255051; Sentiment_Subjectivity (from 0 to 1): 0.505757576 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I loved the antibiotic- and hormone-free chicken breast with creamy guacamole and locally-sourced bread. Nice beer and cider selection on tap. Great spot overall.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Clinton street baking is a super popular bakery with great food and baked goods. The brunch gets crazy waits, so arrive early or be prepared to wait a few hours. The muffins are delicious, especially the banana crumble. The staff was a bit brusque, though likely as a result of the huge line. The waffles looked like they would be worth the 3 hour wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.248484848; Sentiment_Subjectivity (from 0 to 1): 0.692424242 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thiru has wonderful personality. He has a very loyal clientele that keeps him very busy during the day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.521111111; Sentiment_Subjectivity (from 0 to 1): 0.796666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Tom's Restaurant is the outside shot of the "Seinfeld" coffee shop. The sign in the outside is exactlu the same as on the show and that's why we went there. We stayed for lunch, The place was packed during a peak lunch hour, but well organized, we only waited couple of minutes before we were seated. The diner keeps it's own identity and features only couple of pictures from Seinfeld on the walls, which was nice to see, that they are not trying to mooch on the show. The food was great and staff was very friendly.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.276388889; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food and wine! Waitress was super helpful on recommending wine and interpreting dishes. Lovely back area. Would come again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.458333333; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This restaurant was quite a pleasant surprise. We were introduced to it by friends. The food is sensational, the prices fair, and the wait staff as accomodating and pleasant as one would expect on a luxury cruise liner. The menu is varied and there are numerous specials, memorized by the wait staff in minute detail. I have to admit it is a bit long to listen to so many specials and you kind of get lost in the midst of this recitation, but it is without question one of my favorite Italian restaurants. The ravioli, of all types is light and perfectly prepared and presented. The stuffed veal is spectacular.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.491025641; Sentiment_Subjectivity (from 0 to 1): 0.723076923 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tough place to find unless you know the exact address. would recommend reservations The unlimited drinks for one hour is fantastic for brunch. The Margarita was hand crafted and not from a mix. Very strong and tasty. Food was very good, we had the cuban sandwiches and came out very quickly. The service was always there with a smile.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.352539683; Sentiment_Subjectivity (from 0 to 1): 0.638095238 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the place to go if u love tofu, kimchi & spicy soup. I went there 3X in 6 days! Love the whole fried fish that they serve as a free appetizer, along with kimchi, spinach and the usual Korean side dishes. Ask for more if u are greedy :) for the tofu soup, u can choose from different levels of spicyness (just do regular unless u can take real spicy soup). Real yummy! Oh and they are open 24/7!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.24375; Sentiment_Subjectivity (from 0 to 1): 0.493910256 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently ate at Olea again and continue to be delighted by the food and the staff at this excellent Mediterranean restaurant. The assortment of delicious sauces/dips for their pitas, including standards like hummus & tzatziki, or their beet or romescu are a fantastic start to a meal. You can easily satisfy yourself with their tapas & appetizers without even venturing into the main dishes. On this occasion I did just that enjoying artichoke croquettes, pita with sauces, fried haloumi cheese (a personal favorite), a kale salad and lamb keftedes with my friend. The ambience is always pleasant and we dined for two delectable hours. Olea is a neighborhood staple for me, always welcoming and reliably delicious.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.536111111; Sentiment_Subjectivity (from 0 to 1): 0.740277778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I always visit if in the mood for a hearty Polish meal especially potato pancakes. Great value for what you pay. Even though the interior is not very appealing, the staff is always pleasant and food tasty. After all, that's what matters.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.33525641; Sentiment_Subjectivity (from 0 to 1): 0.775320513 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has amazing tacos. The sopes are pretty good too. I think this food will appeal to those who know central Mexican food and those who do not. Excellent prices, too!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.175; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Late night spot I always go to end a good night out. The service is great. Some of the things i had here was the chicken and waffles...amazing! the mac and cheese, the tomato soup, and their salads. I always leave here happy. Its hard to get a big table here if you have a large party. Last time we waited like 1 hour since we were a group of 8-10.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.130291005; Sentiment_Subjectivity (from 0 to 1): 0.559656085 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Basso56 was very crowded with the theatre crowd. The food was great, especially the past with the lighter sauces- cream and butter dishes... the red sauce with bacon on the fusili was just ok.. Would go there again -appetizers and desserts were excellent!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.321428571; Sentiment_Subjectivity (from 0 to 1): 0.542857143 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Its as rare as seeing a white tiger- a hip restaurant where the staff is friendly, professional and warm and the food is central to the mission. My three visits to Public confirmed this is one of downtown's great dining experience. First Alsatian white and consummate people watching at the bar. What a mix of artists, writers, hipsters and the cultured class. Then off to our table for a brilliant meal. It doesn't matter what we ate.. It was just the kind of perfect new york evening where we never wanted to leave.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.400710227; Sentiment_Subjectivity (from 0 to 1): 0.553409091 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is amazing. from the appetizer to the entrée to dessert and oh! the drinks!. I had scallops, jasmine rice, crème brullee, lucytini, pomegranate martini, my husband had rib eye steak and coconut ice cream with fresh pineapples. I cannot complain. The service was incredible, attentive, nice. It's pricey so someone like myself will only go there once a year for my anniversary but it is so worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.491071429; Sentiment_Subjectivity (from 0 to 1): 0.757142857 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is simply excellent. Everything is as close to perfect as you can get. The atmosphere was also great and the service was great! I highly recommend.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.792; Sentiment_Subjectivity (from 0 to 1): 0.808 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great place to go for vegan comfort food and twists on old classics (vegan chili, waffles, sausage scramble etc.). A ton of options for both breakfast and lunch. We sat outside and rubbernecked passersby while we ate and had a great time. Our server was incredibly friendly and attentive. If you order a fresh juice, be warned that they are served at room temperature - might be your thing, wasn't mine.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.396428571; Sentiment_Subjectivity (from 0 to 1): 0.521428571 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The crab and pork noodles is delicious!!! I read so many reviews about this place and it sure did hold up to it. Granted there was not as much crab meat in it but the flavor is to die for, it's really unique and just keeps me craving for more! The portions are smaller for the price but this dish was totally worth it. The curry puff is like a spicy curry explosion in your mouth, sooo good! We also had the duck noodle soup which was seasoned to perfection. Enjoy!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.477272727; Sentiment_Subjectivity (from 0 to 1): 0.548989899 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was in the neighborhood with out-of-town guests. We went into a couple of other places on Wythe Avenue, but they didn't appeal. I read reviews of Cafe Mogador, so we decided to give it a try. Just walking in the door made us realize we were in the right place. I had Chicken Tagine with a raisin/onion/cilantro sauce (there were a few sauce options). The lunch special came with soup or salad and couscous or rice. I chose their soup of the day, red lentil. Everything smelled and tasted delicious! The pita bread was hot and tasty.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.120982143; Sentiment_Subjectivity (from 0 to 1): 0.547767857 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We had a lovely meal on a Friday night at Marc Forgione. The restaurant has a great, laid back comfortable feeling about it. It was busy but friendly. We arrived early and enjoyed some time at the bar sampling some unique cocktails. The food was great, the service was fine, not over the top but efficient. I would definitely go back and try other dishes. The striped bass was so flavourful and cooked perfectly. Would definitely return.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.328921569; Sentiment_Subjectivity (from 0 to 1): 0.542647059 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tried the huge slices with some of my friends as soon as we landed. We were all not disappointed, just wished they were all over the world!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.434375; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is amazing.We really love good latin fusion cuisine (a la the Mission in Scottsdale), so this was a no-brainer. Holy cow! Once we found it (there's no sign, so be sure to mark the address) we let our waiter order for us, and we were not disappointed. Ceviche. Salmon brulee. Taquitos Langosta. Fish Ribs. Short Ribs. Ay, ay, ay. And the cocktails. And the hospitality of the waiter and owner!! You gotta try this place You absolutely won't be disappointed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.16547619; Sentiment_Subjectivity (from 0 to 1): 0.579365079 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had Nasi Lemak and Nyonya Seafood Fried Rice here, two typical dishes of Malaysia, and both were very authentic and delicious. Portions were very miserly for the price they charge, though. They like to recommend the Roti Canai, but personally I think that's more Malaysian Indian than real Malay. It's quite high in fat and there are better dishes on the menu. The atmosphere is quite sophisticated, not quite the grimy and greasy hawker center stalls I'm used to, but that's actually a good thing in terms of hygiene.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.345277778; Sentiment_Subjectivity (from 0 to 1): 0.55125 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My husband and I went to this restaurant for a nice night out. We were blown away by how good their food taste, the excellent service and the cleanness of the restaurant. The chef even comes out to greed the customers. It is a small restaurant so it makes it feel intimate. I totally recommend it. My husband and I keep on going back with friends. Thanks for the great food and service.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.361111111; Sentiment_Subjectivity (from 0 to 1): 0.588888889 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Post Office is a friendly place. The staff is always professional and the food is great. This is a great local spot for a burger and a beer, and it is also appropriate for children.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.429166667; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their pickled vegetable soul is excellent. We had the dumplings in chili oil wich were great too and the beef in dry pot was to die for, extra hot and spicy, as it should be. The Restaurant itself is easy going and simple, The staff is attentive and nice, what they lack in experience they makeup in willingness. Looks like they are applying for an alcohol license, since none is offered in the menu. The fried rice was average. We will definetly come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.296969697; Sentiment_Subjectivity (from 0 to 1): 0.617316017 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The falafel were superb, stuffed grape leaved were very delicious, mixed grills were excellent and very flavorful, and the kenafah was very good. The place was VERY noisy, we were screaming to hear each other and the kenafah was slightly salty, but these are minor things. The big picture, this was most authentic Lebanese food I've had in the US!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.391794872; Sentiment_Subjectivity (from 0 to 1): 0.517051282 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a super little spot for brunch. Quaint, small town vibe - a step away from the hustle and bustle, once you get in after waiting in line. The line-up is definitely a down side but if you are staying in the Murray Hill neighborhood you should check it out. The server was friendly and efficient with all sorts of special requests perfectly met. The food was fresh and tasty. The side of fruit was fresh-cut. Coffee excellent.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.308046737; Sentiment_Subjectivity (from 0 to 1): 0.602998236 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The place is hard to find and out of the way, but well worth it. When I ordered octopus to start, I expected it to be fresh and grilled, which it was, but it came in a spicy broth which was not only delicious, but didn't detract one bit from the crispiness of the octopus. The main course came with a surprising mix of vegetables, fruit and berries, all prepared/cooked to perfection and absolutely fresh. They do grow their own vegetables and the garden is next to the restaurant for all to see. The wine list is very, very long, nothing inexpensive, but not outrageous if you know how to look. The portions are not enormous, but big enough that I could not eat any dessert. Will try it again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.213125; Sentiment_Subjectivity (from 0 to 1): 0.5559375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to Market Table several times and I return for two reasons: first, the restaurant is situated on a corner with floor-to-ceiling windows and it offers a great setting for a meal in w village; second, the food is consistently delicious. This is a great date spot, and I'll likely return again in the future.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.327777778; Sentiment_Subjectivity (from 0 to 1): 0.439814815 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Salads are good. Prices are good. Pesto lasagna was good but a bit too salty. The bread on the panini is hard and thin - more like a cracker.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.318055556; Sentiment_Subjectivity (from 0 to 1): 0.615277778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bistango is a casual trattoria that hits all the right notes. The staff is welcoming. The decor is clean and uncluttered. The food is exceptional. I had lasagna - it was covered in gooey and chewy mozzarella and a meaty Bolognese sauce that was out of this world. Dining companion had capellini with shrimp and spinach, and she did not leave any on her plate. Other dining companion, who has gluten intollerance pigged out on pasta with Bolognese sauce - most of menu can be prepared gluten-free. Prices are more than reasonable. This is a place you want to return to again and again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.236755952; Sentiment_Subjectivity (from 0 to 1): 0.634672619 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their ramen is very mediocre, we are living in place with big Japanese population, we understand how should a really good ramen tastes. Don't stay in a line, it doesn't worth!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.085; Sentiment_Subjectivity (from 0 to 1): 0.36 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great dinner with great service. Party of eleven and everyone loved what they ordered. It was one of the best Pad Thai's I've had in a long time. Will defiantly go there again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This little place in Soho is wonderful. I had a lamb sandwich and a glass of wine. The price shocked me for how small the serving was, but then again, this is Soho. The staff can be a little snotty and rude, but the food is great, just don't expect world-class service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.025; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ordered lunch for 15 from Snack last Friday.  On time, nothing missing and the food was great.  I have added it to the regular company lunch list, as everyone enjoyed their meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22; Sentiment_Subjectivity (from 0 to 1): 0.328717949 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: took me a long time to find a BBQ place that I can trust.  Growing up in TX, I have very high standards. Have yet to be disappointed by this place. Can get a little crowded, but it's worth the wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.0959; Sentiment_Subjectivity (from 0 to 1): 0.4904 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a beautiful quaint little restaurant on a pretty street.  If you're strolling through soho around lunchtime, this would be a great place to stop for a bite. I heard the reviews about the lamb sandwich, so I had to try it. I'm very happy that i did. Every single ingredient - from the bread to the onions and tomatoes, the lamb and the sauce - was delicious. These four stars are well deserved because of the tasty sandwich and great ambiance.  I would recommend this place to anyone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.555133929; Sentiment_Subjectivity (from 0 to 1): 0.776785714 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is great place for a  casual sit down lunch- especially on a cold winter day.  In many ways the restaurant mirrors the food- simple yet unique.  The avgolemono soup was lemony perfection and the butter bean salad hearty yet light.  The greek coffee is different...they sweeten it with honey which makes for an interesting thickness and sweet spice. I definitely plan on going back for dinner.  If the small space doesn't suit you their sister restaurant Snack Taverna in the West Village is just as good, if not better...and more "upscale" with waiters who make you feel well taken care of.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138715278; Sentiment_Subjectivity (from 0 to 1): 0.538293651 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tiny which makes for a good ambience.  The food ranges from okay to good, but in my opinion is over styled and thus slightly unappetizing.  Honestly can't even remember what I ate which is a bad sign. Fun if you're looking for a BYO but definitely better in the area.   Also the owner is a bit odd.  He can be very friendly but is unorganized. I once had a reservation on a week night and he did not put a large table aside for our party of 6- instead he had us sitting separately waiting for other parties to leave.  It was awkward and annoying. Supposedly good for brunch, but I've only been there for dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.088830532; Sentiment_Subjectivity (from 0 to 1): 0.627661064 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a good group dinner experience here.  It was my friend's birthday and we were looking for an affordable italian place in the village where we could make a reservation. The service was great and the waiter did everything he could to make our experience special, including keeping our wine glasses full and topping off our meal with a dish of cookies and warm custard on the house.  The place is bright, cozy and quiet which is a nice change for a New York restaurant. The food was just okay.  I had the penne pasta with eggplant which wasn't anything special.  However I did enjoy the fresh focaccia served at the start of the meal. Overall a good experience, especially with a large group, but I wouldn't go for the food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.342891319; Sentiment_Subjectivity (from 0 to 1): 0.55312144 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the BEST brunches I have had in the city...from the food to the setting to the waitstaff Public is the place to be on Sunday morning. It's a little expensive, but perfect  for a special occasion and there are a range of prices on the menu so if you choose strategically it's more affordable.  The drinks are delicious and a good break from the traditional mimosa.   My friend and I were there on a summer morning and sat on the "terrace" part so we were able to enjoy some fabulous people watching in Soho. They also give out little soaps in the bathroom which is just the icing on the cake. I may have snagged some extras  to keep me well supplied at home.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355867347; Sentiment_Subjectivity (from 0 to 1): 0.615221088 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: By far one of my favorite restaurants in the city.  Reliable but not boring.  A cozy, sexy atmosphere, delicious, creative food, changing menus, strong drinks, and free cookies!  It's fancy but casual and the range of prices on the menu makes it easy to control how much you spend. They don't take reservations but the wait is never much longer than 20 mins and once you pick your cocktail I assure you the time will quickly pass.  You can also sit at the "bar" to eat which means an actual table with bar stools.  They seem to rotate people through pretty fast, and though I've had times that my meal felt rushed, they're usually nice about letting you hang out for a while.  To have the full experience I suggest doing a starter, main, dessert and drink...and yes this will make your stomach hurt but you won't regret it. The menu is constantly changing which is further encouragement for me to return again and again.  The food is inspired by southern (new orleans?) cuisine with a twist on some traditional dishes.  The duck gumbo and shrimp and grits are my favorites, but I've also enjoyed some of the fish dishes and fried chicken (like everyone else has reviewed).  For starters the salads are creative and worth trying even though they can seem "typical" on the menu.  The desserts are constantly changing and I've never had a bad one...For drinks I'm a fan of the Aviation or Revival. If you're looking to impress a date, catch up with a friend, or just eat a good meal in a comfy place visit the REDHEAD!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.200344353; Sentiment_Subjectivity (from 0 to 1): 0.647107438 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A solid 4 stars for this greek food spot.  If you're a fan of lamb like I am, you must come here and try the lamb sandwich.  Amazingly tender and juicy with onions and arugula.  Also had a good greek salad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26; Sentiment_Subjectivity (from 0 to 1): 0.32 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let me start with a shout-out to everyone who is boosting the mint lemonade. That stuff is super tasty.  I refuse to believe you can get fresher, more delicious Greek food for your dollar.   I sport the lunch here regularly: huge sandwiches filled with marinated vegetables or succulent meats (the lamb is particularly choice) on a floury ciabatta with an ideal crust-crunch to soft-inner-womb.   The cold meze options are favorites.  I know that anyone can take good feta, cover it with salt, pepper, olive oil, and dish it up with some olives and tomatoes, but the quality and proportion of each of those ingredients is what makes it special here.  Heaven. You can rock a sandwich for $7.50 to $9.50 or grab bigger meals for no more than the mid-teens.  Get it done.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.300549451; Sentiment_Subjectivity (from 0 to 1): 0.651648352 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place!  Try the Chicken sandwich or the Roasted Chicken.  Those are winners every time.  Really delicious and worth the wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.145; Sentiment_Subjectivity (from 0 to 1): 0.72 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place, downtown feel and delicious food and wine at decent prices.  The weak link is Heidi herself, who can be a little brash.  But there's a nice guy who works on Mondays and Tuesdays and when he's behind the bar the tone of the place is a bit more comfortable. Hit it on a Monday or a Tuesday and you can't go wrong!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152651515; Sentiment_Subjectivity (from 0 to 1): 0.758333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is good, but they charge more (for some strange reason) if you order take out.  They don't deliver, I get that - it's their prerogative - but if you offer food to go, how do you justify adding up to several dollars PER ITEM??  I only ordered take out once, just on principle.  Not a good policy. Still, I dine in there because the veggie platter can't be beat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.133333333; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I were intrigued by the nightly entree special, "Little Shoes," (eggplant stuffed with ground sirloin), and so we decided to eat at Snack. Although very tiny, we were able to stand while we waited and have a glass of wine at the narrow 'bar.' I absolutely loved the atmosphere, but I was a bit disappointed to find out that they were out of the entree special by the time we sat down. My substitute entree, Veg. Moussaka, was hearty and good, but cinnamon overpowered the other flavors. My friend had the stuffed tomato and green pepper plate, which I liked better.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.149730726; Sentiment_Subjectivity (from 0 to 1): 0.552267574 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good food in a very casual atmosphere for a very inexpensive price sums up this restaurant. Yes, the service can be a little haphazard due to only one person working the front of the room and maybe two the back, but this is the only way a restaurant this size and price can work and the people who go there usually recognize that fact. All the food on the small menu is very tasty and the desserts are superb.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.019038462; Sentiment_Subjectivity (from 0 to 1): 0.592692308 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here numerous times for the tasting menu at lunch. The service and the food are consistently excellent- lots of small touches that really add up to a superb experience and meal. A little bit of a splurge, but definitely worth it.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.294642857; Sentiment_Subjectivity (from 0 to 1): 0.528571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great. 3 people - 8-10 tapas plates. Every single one was a homerun. Sitting and watching the food being cooked made it that much better. Don't like eating at cramped tight spaces, but it made the experience more personal. Had to wait for about 1 hour which was great because we were sent around the corner to Bar Jamon. Another GREAT experience.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.39375; Sentiment_Subjectivity (from 0 to 1): 0.50625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW! What a great restaurant. Food, decor and service all top notch. Try the rotisserie chicken and the fresh shrimp. All desserts area fantastic. Can't wait for a second visit.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.217857143; Sentiment_Subjectivity (from 0 to 1): 0.657142857 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been to Jane several times for brunch and have yet to be disappointed. I have eaten in the dining room and the bar and both have great service! The service is always good, waitstaff pleasant, atmosphere inviting, and food amazing! The portions are huge...feel free to share. And the banana chocolate bread pudding...to die for!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.419047619; Sentiment_Subjectivity (from 0 to 1): 0.680952381 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you have a large group in New York, then this is the place to go. This is perhaps one of the best Italian restaurants in New York. It is extremely popular, though, so make sure you make reservations before going. The restaurant is huge and always packed. The menus are largely printed on the walls. Everything is served family-style there. A dish will cost between $20 and $30 dollars but will easily feed four to six people. You get appetizers first with your run-of-the-mill stuffed mushrooms, calamari, salads (you must get the Caeser--it's excellent), and soups.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.40705267; Sentiment_Subjectivity (from 0 to 1): 0.576815777 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Any restaurant that you can go into at 2 am and get a gourmet meal is fine by me (especially when compared to your other options at this hour)...their fried chicken was amazing, highly recommended, along with the catfish; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.075277778; Sentiment_Subjectivity (from 0 to 1): 0.710833333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since we were a fairly large party, we were recommended the family-style type menu, which included a Ceasar salad, fresh vegetables, unlimited portion of pasta and then steak, chicken and fish (swordfish) as the main entrees. Then for dessert, which was also included in this deal, we had an assortment of all the desserts that are offered. Everything we had was absolutely great. I have been to Becco several times and I have not been disappointed yet. This is definitely a great choice for dinner. The one item I will comment about is the noise. It is usually very loud and sometimes it is a little difficult to hear the waiter, but we just asked him to repeat and we were fine.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.065843254; Sentiment_Subjectivity (from 0 to 1): 0.621825397 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Possibly the best in the entire USA. Fresh selections are circled in red on the sushi/sashimi menu. A typical evening will feature several different types of hamachi, toro, mackeral as well as other fishes. Many of Yasuda's cuts are flown in from the Tsujiki fish market in Tokyo. All five sushi chefs are extremely good so it doesn't matter where you sit at the sushi bar. Yasuda also features a good selection of traditional Japanese cooked dishes as well for those not inclined to eating their raw fare.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.178504274; Sentiment_Subjectivity (from 0 to 1): 0.454102564 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Feel like southern delights? Gotcha, you're at the right place! The Gumbo went down as fast as my finger could do the thumbs-up. Ready for some hot stuff? The Cajun Martini(s) will make you walk up the wall, across the ceiling and back down on the other side... you might just want to stay for a hang-over breakfast and tickle your sore head with the best Bloody Mary in town!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.051911977; Sentiment_Subjectivity (from 0 to 1): 0.421681097 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You think you've lived here long enough and know pretty much all there is to know about NYC until someone shatters that by mentioning Freeman's to you and you arrive and you see it packed w/ all the happening NYers and feel so left out. This place almost felt like a movie set, as it couldn't have been better laid out for a cool, quaint, hidden NYC gem. It's hip comfort food if that makes sense, it's quite alright and the portions are huge so don't over order. The artichoke heart dip shouldn't be missed. But this whole place is about ambience and it's as good as it gets. Feels like you are in London at Freeman's.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.216666667; Sentiment_Subjectivity (from 0 to 1): 0.498484848 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their wings are great and they make them hot! Plus they have pitchers to wash it down, and the beer is usually something local and decent. Stay away from the Beef on Weck though. Love the fries and the dipping sauce.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.196230159; Sentiment_Subjectivity (from 0 to 1): 0.486507937 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was walking around and without knowing about this place, stumbled upon a huge line of people raving about falafel. I had never had falafel before, but I'm always willing to trying new things so I got in line and waited my turn. I ordered the same thing the 3 people in front of me ordered (falafel with hummus & hot sauce). Needless to say, for $2.50, I was amazed and realized what the line was about. The sandwich was great, and I have since been back 2x. Each time is as good as the last, which is great. I'm a big fan of falafel now, but I refuse to eat it anywhere else!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.236363636; Sentiment_Subjectivity (from 0 to 1): 0.52885101 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great noodle soups. Not exactly a Raman noodle, as Sobaya uses authentic buckwheat noodles. Now the price is in the 15 dolar range, not bad seeing as they have large soups w plenty of vegies/toppings. Problem is most people rank it as cheap. This is one grade above in food, service, ambience, and price. There are other more affordable noodle themed shops nearby. Staff was friendly and enthusiastic about educating me on Asian cusine. Not a bad affordable date spot; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.235952381; Sentiment_Subjectivity (from 0 to 1): 0.532460317 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tthe Spotted Pig carries a decent lineup of beers and an extensive wine list. Salads & appetizers/mains are complemented by specials, including (that evening) tasty steamed cockles with chorizo, and an over-salted yet curiously bland Berkshire pork soup with pureed vegetables. An entree of veal breast stuffed with veal sausage did not quite deliver, however the cheese plate and ginger cake dessert were hits. The pub has large windows, lots of exposed wood, and atmospheric lighting - heavy curtains, drawn as end of night "lockdown" approached, were a particularly authentic touch.  Bottom line: The Spotted Pig offers food a cut above your average pub grub, ambiance in spades, and a friendly, easy-going welcome.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.136607143; Sentiment_Subjectivity (from 0 to 1): 0.450992063 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to say this place has awesome burritos & they are huge !!! The taste is great. I have to say I love th eburriot so I have not tried much else, but I had a bite of the steak cucmber wrap & its soo good, can't figure out what the sauce is but its yummy ! Although its very small so I would only recommend take out or delivery.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.47890625; Sentiment_Subjectivity (from 0 to 1): 0.69625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Song is fabulous, even better than the original Joya. The place is bigger and more convenient to people in the slope. I highly recommend the mango martini and spicy noodles. Amazing. The food is unlike any other Thai place in the city. They are so speedy with the food and you can see the cooks working their magic in the kitchen. Watch out, no credit cards accepted!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.337222222; Sentiment_Subjectivity (from 0 to 1): 0.673888889 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When they say NYC restaurants are small, they weren't kidding with Tartine. You are sure to bump into someone's table when getting to your seat. Because of the size, there is sure to be a wait list when dining here. Unfortunately, they don't use wait lists, possibly because the staff size is limited. So, you are courteously directed to wait outside. There is an immediate sense of uncertainty b/c there are no lines nor organization. The Apple Pancakes are great and definitely are worth the selection.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.170779221; Sentiment_Subjectivity (from 0 to 1): 0.610966811 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I truly don't understand why people go to this place. In my recent brunch the waiter was rude about getting the order wrong, the omelette was bland (no salt), the home fries were extremely greasy, and the place is ugly.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.298611111; Sentiment_Subjectivity (from 0 to 1): 0.763888889 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I noticed this place while sitting in traffic trying to get into the Holland tunnel. It is now my favorite place. Very small, understated, incredible incredible food. So simple and perfect. I always get the honey and soy chicken wing appetizer. Then its either the miso glazed salmon or anyone of the salads. The ginger tea is exceptional. Writing this makes me want to go there tomorrow. The staff is great. Always so pleasant.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.4575; Sentiment_Subjectivity (from 0 to 1): 0.834380952 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I honestly do not understand how anyone can not love this place, unless they don't like real pizza. Pizza is supposed to have an extremely thin crust, and a sauce which is actually made of crushed tomatoes instead of tomato paste. The crust, fresh mozzarella, crushed tomatoes and fresh basil are all outstanding, and they come together perfectly in the 800 degree coal burning oven. If you only want to eat bread with tomato paste and supermarket cheese, then you may not enjoy it here. But come with an open mind, and you'll learn what real pizza is; a VERY tasty lesson indeed!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.0875; Sentiment_Subjectivity (from 0 to 1): 0.5265625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really yummy paninis for cheap! Try the prosciutto and mozzarella or the nutella panini! They also have non-alcoholic frozen mojitos. Only downside is there are only outside stools - which is only inconvenient bc the sandwiches are so big.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.028125; Sentiment_Subjectivity (from 0 to 1): 0.63125 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nyonya is probably the only authentic restaurant that serves SE Asian cuisine in the City. You know by the number of Singaporeans and Malaysians that dine there. Ask any one of these ethnic groups where they dine and they'll all say, "Nyonya." Food is very tasty and inexpensive... "Local" faves include kueh teow, laksa, chicken rice, and chendol for dessert! Forget about Penang... This is the only place to go.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.007142857; Sentiment_Subjectivity (from 0 to 1): 0.571428571 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to Alta five times since they opened. Every time, the food, the staff and the atmosphere have been fantastic. They know their wine. It's a place where you can safely order from the bottom end of the wine price list and know that you will get a great bottle. Last time we went, we had the server pick our entire meal. Glad we did, otherwise I wouldn't know that brussel sprouts can taste so delicious. The wooden architecture and wrap around upper level make for a truly romantic evening.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.32; Sentiment_Subjectivity (from 0 to 1): 0.534166667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Walking in on a cold fall night, it is not hard to understand why this popular Brooklyn Heights' neighborhood restaurant is a big hit. Noodle Pudding simply oozes warmth, good Italian food and friendly service. The prices are more than affordable, and you are dining in a romantic golden colored candle lit room. The menu focuses on classic dishes with an adventurous twist. The pappardelle with venison ragu was simple but yet so flavorful. Although tiramisu was ordered on every other table, and looked very yummy, at the end of our meal I was simply too full to try.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.161805556; Sentiment_Subjectivity (from 0 to 1): 0.463756614 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dinner for four at Palma. Promptly seated and provided drinks in a hurry. For apps - calamari and shrimp. Very fresh and flavorful. Arugla salad with fennel, oranges and olives was nice, but nothing special. Entrees were out of site. Perfectly cooked lamb, well accompanied by rabe and potatoes. Swordfish and spinach ravioli were spot on. The star of the show was the fish stew. A thin, crusty dome of bread covered a large bowl of seafood, fresh herbs and an exquisite broth. When the server cuts the dome and folds it back, the scent that escapes burns itself into your memory. The taste makes you reconsider dinner plans forever.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.384603175; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My cousin and I went to grab a drink on Stone Street and came across Adrienne's Pizza Bar. The ambience gave us a nice cozy warm feeling. We had a couple of glasses of wine, shared the margarita pizza (excellent!), and the bruchette. We loved it. The service was friendly and attentive. Great new downtown spot! Definitely going back.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.404132231; Sentiment_Subjectivity (from 0 to 1): 0.659504132 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We celebrated my cousin's 24th birthday at this cozy little restaurant last night and everyone enjoyed the meal -- from appetizers (recommend the spicy lemon shrimp) to the last bite of our guinness dark chocolate cake!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.039285714; Sentiment_Subjectivity (from 0 to 1): 0.461904762 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're out drinking and you're looking for a delicious and filling snack for cheap and beer to wash it down with, then Corner Bistro is the place for you.  The burger was huge and juicy. Get it with cheese and bacon for the true experience. It did not have a char broiled flavor like a BBQ but it wasnt made on a griddle, it was broiled so it was meaty and delicious and adorned with a small bun, sliced white onion, lettuce, and tomato. The fries were also crispy and very tasty. I compare them to McDonlads except with less grease and more potato. This place is the spot, you've gotta try it. I got all this deliciousness (fries, burger, beer) for 10 bucks.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.297979798; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In order to get tapas and a small table you will need to wait at least 40 min on a Saturday night, but rest assure that you will leave a very satisfied customer. Try not to over look this place as you pass it by---its a little hole in the wall but the result will leave you asking for more! The tapas are very tasty especially the Patatas Fritas, bread w/fava bean spread and the pork sandwich. To drink I recommed their white sangria w/strawberries and to finish the night a nice dessert of cake w/dulce de leche ice cream. Enjoy!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.18375; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in for lunch today and couldn't believe how delicious everything was! My boyfriend and I shared an avgolemono soup, lamb sandwich, spanakoptikia and baklava. Everything came out super quickly and far exceeded our expectations.  The service was wonderful too! We will definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.461111111; Sentiment_Subjectivity (from 0 to 1): 0.694444444 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: pretty cool place...good food...good people; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: all around good place, cozy, I came in and didn't have a huge appetite but just stuck to the appetizers...which my friend and I did the combo platter of and we were more than full with it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fabulous Authentic Greek Food!!! This little spot is bold with great flavors. Knowledgable host that describes the layers of a food like you were sitting in the kitchen watching the preparation. If you are a true foodie you don't want to miss Snack!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326190476; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfection.  Snack has become my favorite late lunch/early dinner spot.  Make sure to try the butter beans!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3921875; Sentiment_Subjectivity (from 0 to 1): 0.82962963 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tiny little place, but very good food. Pastitsio was especially good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.430625; Sentiment_Subjectivity (from 0 to 1): 0.695 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fried chicken (with a delicious sauce) and delicious salmon spread with bread to spread it on! The room itself is a cozy and elegant library space.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.908333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the braised lamb sandwich and was one of the best sandwiches of my life. Do yourself a favour and try this place! Friendly service and cosy atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6875; 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: This spot is close to my job so I decided to check it out for lunch. The prices are just about what you would expect for Soho/"South Village" sit-down lunch prices; my meal came out to $20 for a mint lemonade and a decent-sized salad. I ordered what I think may have been a special, a roasted chicken & vegetable salad. The chicken was unbelievably dry, to the point where I had tough time chewing without choking a bit. It was served on a bed of arugula which could have chopped a little finer as it was in full, hard to eat pieces. When I eat a salad, I expect it to be cut down to make for easier bites. Not necessarily a chopped salad, just pieces that will actually fit in your mouth without chopping it up yourself. Basically, I don't want to use a knife to eat a salad. However, service was friendly & quick and the restaurant itself was comfortable, albeit tiny. I would go back to try something else, but probably not for a salad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.004675099; Sentiment_Subjectivity (from 0 to 1): 0.592832341 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a dream come true. I go to school in the neighborhood and come here whenever I have the time to grab lunch. The cold soba salad and roasted kale salad are amazing for a quick, healthy meal. The miso braised beef wrap was so good, I actually wanted to cry. They do a bit of a pan fry or grill on the wrap itself and it adds a really nice crispness. The prices are reasonable for good quality food and they have a 10% student discount. Go to Mook's, and go often!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355833333; Sentiment_Subjectivity (from 0 to 1): 0.645 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For lunch, my friend and I had: -Lamb sandwich, juicy and flavorful. -Roasted beet salad, pretty big portion. Good thing my friend shared it with me; otherwise I think I would so bored eating only beets, and a few leaves of greens. -Classic Greek Avolemono, basically a very tangy chicken broth with orzo. My friend really likes it at this place. The place is small. There are only 6 tables, but they do delivery. Good service if you decide to dine in.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.047619048; Sentiment_Subjectivity (from 0 to 1): 0.529761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! The decor is chic, and the food is yummy with farm to table ingredients. What more do I need to say? Their fried chicken is probably the best fried chicken I've ever had. SUPER JUICY!!! The crust was very light and crunchy in a way that I've never had on fried chicken before. Not to mention it's organic. Definitely worth the try. My friends had pasta and pizza, and they were both delicious. I would probably order every single item on the menu because they all sounded so good. Just wish I had room to try some appetizers. Next time for sure! On the downside, it's kind of hard to get a reservation :(; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.212232143; Sentiment_Subjectivity (from 0 to 1): 0.651265173 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for a friend's birthday. The food was DELICIOUS!! Ordered the popular tuna tartar (which has an amazingly beautiful presentation) and black sesame cream brulee, and I have to agree with the Yelpers - they were YUMMY! Other than that, I also loved the grill octopus, agedashi tofu, and Sanma Onigiri, which is rice balls with shiitake mushroom, pickled radish and mountain vegetables wrapped with baked pike macherel. One of the best rice balls I've ever had!   Our waiter was nice and often checked up on us in a non-annoying way. He even let us sample the sake when my friend asked. Don't remember what kind it was, but I thought it was delicious considering I'm not a fan of sake. I took off one star because I'm just being picky. This place isn't the most economical way of eating out, but I would come back for special occasions.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.512414966; Sentiment_Subjectivity (from 0 to 1): 0.691411565 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute little Italian restaurant with excellent food and nice ambiance. Great selection of food and wine. It's great for first date! Definitely going back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3825; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty delicious food if you love fried food and meat. The huge fried chicken wings with some kind of awesome sauce and fried whole snapper were pretty memorable. Definitely want to go back and some some other stuff on their menu!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.303365385; Sentiment_Subjectivity (from 0 to 1): 0.740384615 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, the ramen broth was DELICIOUS even though it was a bit too salty. it was kinda creamy, different from the clear broth we expected. the pork was really tender. perfect amount of meat since i'm not that much of a meat eater. i had the miso ramen, but i think i prefer shoyu ramen which my friend ordered better. the place is a bit small, but perfect to drop by for a bowl of homemade noodles and soup on a cold day, especially when you are by yourself. if it weren't so out of the way, i would definitely go there all the time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.234615385; Sentiment_Subjectivity (from 0 to 1): 0.629487179 [/INST] Not Spam</s>