Datasets:

syannn

/

Spammer_sample

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: I often come here for happy hour.. and I'm really sad that it's closing it's doors this upcoming weekend. So rich with history, you almost feel like you are drinking back a pint George Washington himself. I mean: The Magna Carta is there, at the little museum they have! The wings are GREAT! And their grilled Weisswurst Platter is one of my favorites.. which includes crunchy-skinned red german potato salad and a nice portion of sauerkraut (and goes perfect with a few $4 Happy Hour Weihenstephans!) I will certainly try to make it back before they close this weekend.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.249494048; Sentiment_Subjectivity (from 0 to 1): 0.557261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: mixed chicken and gyro - very good! their ranch sauce is really good too. their spicy sauce is so spicy! I like the gyro more than the chicken. but my bf likes the chicken more. so it's better to get mixed bc both are good!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.222727273; Sentiment_Subjectivity (from 0 to 1): 0.620909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Japanese curry spot run by Filipino's?!  Well, at least the workers were mostly Flip.  But yeah, so long as the food's good, I'm sold!  Just finished killin a grand slam, mmm.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254166667; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome group experience. Take a look at my youtube video. Definitely the most fun I've had at a meal that i can fully remember. Go with 5-8 people. Get the Seafood hot pot for 99 dollars, you get a lobster, 2 octopi, live abalone, and ton of other stuff. Have one of the octopi seved on the side live and use the sauce they give you. Order a few other dishes if you have more then 5 people. Great value, great fun.  CALL AHEAD and reserve an octopus a day in advance. Enjoy!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.318181818; Sentiment_Subjectivity (from 0 to 1): 0.506666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was great from start to finish. Went on a friday night and everything from the service to the atmosphere to the food made for a truly great experience. My bf and I shared the hummus (awesome, esp for a chickpea lover). I got a few apps and my bf got the steak. Amazing. We split the chocolate cake with ice cream and it was a great ending to the meal. All in all a wonderful meal...I highly recommend it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.62; Sentiment_Subjectivity (from 0 to 1): 0.72375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ordered the pork belly bahn mi and the kimchi fries and BOY WAS THAT THE BEST DECISION EVER. Pork belly was sort of fatty but HELLO "BELLY." so juicy and so fresh. the kimchi fries were good but I heard that the joju fries are better. Get the fried egg on everything. even if you normally don't do so.. DO IT. you won't regret it whatsoever (fried lightly). There was only a lack of AC there and poor ventilation. I smelled like the bahn mi when I left and was sweating inside eatting. So dress naked and bring a change of clothes when you go. Service was really good though- sweet girls. Advice: don't always assume what are in pictures can be ordered at the stores- they didn't have an item when we went.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.269230769; Sentiment_Subjectivity (from 0 to 1): 0.530769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 girlfriend and I were in Brooklyn for a date activity, and after we were STARVING! We came to Dinosaur Barbecue and were far from disappointed. My gf got a chicken sandwich and I ordered a burger. I ordered my burger well done, and  it came back undercooked. I was about to be very disappointed, until I was able to send it back and get it redone. On top of that, the manager came over and told me they were taking my burger off the bill! What good customer service! The burger was amazing; the fries very crispy; the Mac and cheese was full of flavor.  I would definitely come back to this place in the future and would highly recommend it to anyone who is looking for authentic and delicious BBQ.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.143611111; Sentiment_Subjectivity (from 0 to 1): 0.559166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here this morning among a large concentration of tattooed people (staff and patrons). The food was most excellent. Had the ricotta pancakes with what seemed like a fruit salad on top of it. I also had sides of home fries and chorizo and they too were delicious. Highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.562380952; Sentiment_Subjectivity (from 0 to 1): 0.661428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 places to have a quiet romántic dinner in Williamsburg! It is súper close to the train and ways easy to find. Everything on the menú is good BUT my favorite is the Paella! I split it so it was just enough with appetizers. If you are looking to eat after work on a week night I would suggest strongly that you make reservations ahead of time :) WHAT ELSE IS GOOD YOU ASK?? -Aji Relleno - stuffed peppers with spinach, cheese, corn, rice and beans -Steaks -Baby back ribs (delicious, tasty and cooked to perfection) - Pan roasted market fish The service is good and REMEMBER if you are bilingual (like us) do not tease the servers about their incorrect Spanish pronouncation. That's just mean !!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.391522507; Sentiment_Subjectivity (from 0 to 1): 0.584821429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Balthazar is decorated beautifully.  I love the ambiance of this place - so warm and romantic.  Moules frites is one of my all-time favorite dishes and this place does it very well.  I also recommend the onion soup and the liver and foie gras mousse starter.  The food here is very rich and flavorful.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.38125; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to NYC 3 times and go to Shanghai Asian Manor 4 times.Soup dumplings is so tasteful everybody should try it . This is the best soup dumplings i ever had, even better than Joe's shanghai. the skin of dumplings of Joe's shanghai is too thick for me. The price of Shanghai Asian Manor is  fine and the Shanghai fried rice is also delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373809524; Sentiment_Subjectivity (from 0 to 1): 0.396428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been here several times and the same reoccurring themes take place almost every time: great service, huge portions, sub-par food. Because of portion-price ratio, you will probably get your money's worth. The lasagna is the size of a cantaloupe, the calamari comes in a plate that is big enough to easily feed a party of 6 or more, the pasta is always abundant, almost pot-luck like. This is not the place you want to visit for the best Italian in the city, but probably a good place to feed a group of people family style at an affordable price.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.364102564; Sentiment_Subjectivity (from 0 to 1): 0.43525641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ambiance was great! The Food was delicious. I highly recommend the Buttermilk Chicken and Red Velvet Waffle. I didn't think I would like it - but I loved it!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.426666667; Sentiment_Subjectivity (from 0 to 1): 0.673333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stumbled upon this place while wandering around the city randomly with my friend and her family.  The food was delicious, everything they ordered.  I really loved it and will definitely come back at some point. The drinks were super tasty too which is always a great thing. I have absolutely no complaints about this restaurant. Go check it out.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.279166667; Sentiment_Subjectivity (from 0 to 1): 0.639583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Prospect Heights friends RAVED about how great this place is.  I was expecting to be taken to the next level of screaming Mexican food-gasm abandon. Hummph. Don't get me wrong, it was good.  But - just good.  We got guacamole for the table and it was fine.  Not life-changing.   I ordered the Plato Don, and it was a lot of food!!  The grilled steak was really tasty, but the chipotle chicken was bland and watery.  The accompanying rice/beans/pico de gallo etc etc were all standard. It's a neat space, albeit cramped and crowded.  My chair was really rickety.  (OK now I'm nit-picking...lemme stop here) I would come again.  Its not a bad place.  I just don't think it lived up to the hype.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.202455357; Sentiment_Subjectivity (from 0 to 1): 0.478571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ramen choices. No wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We finally made it to this pizzeria.  The lines are so long, the restaurant is crowded and it's in the touristy area, which makes it a flaw.  I had such high expectations with their pizza, but my husband and I were so disappointed. Every time we try to go eat in here, the line is about an hour to two hours long, even when it was cold or raining.  It is located by the Brooklyn Bridge, so it's considered touristy. The pie was over priced and undercooked.  The slices of pie were smaller than a normal NYC slice.  The dough was undercooked and soggy.  There was not enough sauce on the pie. If I were you, I would go somewhere else and get a pie.  It's overrated and not worth your time to wait on the line.  I owe it to my fellow Yelpers to avoid this tourist trap.  If you really want some pizza, come to Staten Island.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.090833333; Sentiment_Subjectivity (from 0 to 1): 0.545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is good, but portions are incredibly small and feel pretty overpriced. I think that's fairly standard for a tapas bar, though. Don't go in if you're looking for a full meal. I went in and ordered just a couple of tapas with a friend to snack. The waiters are a little pushy if you don't order as much as they'd like you to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151785714; Sentiment_Subjectivity (from 0 to 1): 0.464285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have only eaten here for brunch on the weekend so I will only be reviewing that portion of their service. However, I should mention that I have had brunch at Vesta every weekend for the past two months. Here's a step by step guide on how to enjoy your first brunch at Vesta: 1) Order a coffee and a sticky bun and share it with your partner. 2) Rip off chunks of the sticky bun, dunking them into your coffee, and take large soggy bites, while spilling coffee down your chin. 1) Order the  L'Italiano (poached eggs, grilled Italian bread, hot sopressata & ricotta) and a blood mary. 2) At Vesta, they seem to measure their cocktails according to the size of available glasses. Don't be upset if your bloody mary is small. Next time around you will get the big cup. Ask for extra vegetables, extra olives. 3) Grind pepper and pour tabasco into your bloody mary to taste. 4) Quickly drink your bloody mary before your dish arrives, and order another. 5) When L'Italiano arrives crack your poached eggs, soaking the toast in yolk and enjoy! 6) At this point you are sufficiently drunk on poached eggs and bloody mary. You can ask for one final cup of coffee but do not be rude. Brunch at Vesta is busy and you must not hoard your table! 7) Tip your waitress and said goodbye. It is time to go home; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.08731746; Sentiment_Subjectivity (from 0 to 1): 0.530031746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ramen for the gods.  Started with the shishito, flashed fried whole peppers with yuzu salt.  It was terrific with low lying heat in the seeds that opened our appetites.  The pork buns are simply ridiculous.  I had the Shiromaru Hakata Classic and was totally satisfied.  We went to the bar around the corner for the one hour wait and it was no sweat.  Looking forward to my second visit.  Anyone ready to join?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.091666667; Sentiment_Subjectivity (from 0 to 1): 0.545833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Freshly handmade beef noodles only cost me 5.50, which is impossible in manhattan but happened. Fried dumplings are literally crispy and juicy that are second to none even in China, of course 6 pieces for 2 dollars is also economical . Good place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.105555556; 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: even though this place does not need anymore reviews, i feel compelled to write one.. CONS empanadas- eh.. don't bother. I've had better empanadas in manyyy other places the wait is can go up to 45-hour.. but i gotta say, worth it PROS 1. the BEST guacamole I've ever had. Not to chunky, not too watery, just perfect 2. chicken quesadillas are amazing. I say this b/c they put plantains in them, what a pleasant surprise.. nice combo of sweet and salty 3.  bendeja paisa-- an amazing meat dish w skirt steak (always ask for it more rare than you prefer; they always over cook) pork chicarones, sausage (get colombian), rice & beans, avocado, arepa, some salad stuff, plantains.. AMAZING AND HUGE 4. DRINKS- they have greatttt drinks.. they infuse their own rum and tequila (i've had banana rum, jalapeno tequila, watermelon rum.. etc...) i always get mojitos and theyre greatttt! 5. atmosphere is great too/ good desserts *I have had a steak sandwich and chicken and rice in the past.. uneventful; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.407916667; Sentiment_Subjectivity (from 0 to 1): 0.719583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by saying the back garden room is really beautiful. What a treat to be able to go into a garden room and not freeze your ass off this time of year. The service here is impressive. Everyone smiled and welcomed us. We were given some complimentary Italian bread which soon followed with bruchetta on the house. We then ordered the Sauteed Calamari which was really tender and flavored with a red sauce. For the entree I had the spaghetti bolognese. I usually prefer a bolognese on rigatoni but this was still pretty good. My only complaint is that the pasta should have been strained a little better, there was a bit too much pasta water in my sauce but it wasn't swimming. The man has rigatoni with salmon and mushrooms in a creme sauce. It was very very good. And of course we tried the Tiramisu. The creamiest I have ever had. The top layer was dripping off the sides......super yum!! The is a very romantic restaurant. I am anxious to be able to try it again...just not too soon because its pasta. About 6 different employees thanked us as we left. That was some of the best restaurant service I have had.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.29215; Sentiment_Subjectivity (from 0 to 1): 0.4892 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Country looking spot great for a weekend brunch. The space is small and gets very crowded. They offer a text waiting list system that would alert you when your table is ready. The menu has creative and diverse options. The staff was very friendly and attentive. Be aware that there is only one Unisex bathroom and lines can also get long. I had the pastrami Hash, and it was served within few minutes of ordering. Overall, great place to enjoy breakfast and lunch (you know what I mean).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215; Sentiment_Subjectivity (from 0 to 1): 0.545833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Burrito Box, you are indeed a tiny hole in the wall BOX of a place.  Not nearly as outlandish and pushing the limits as say THE BOX, and not corrupt and backwards like the sport of Boxing. I think I would like to make you a 3.5 star review.   Why not just 3 stars you ask? Well, because the special I had was a great deal, and they have an unlimited free chips and salsa bar with both a red and green tomatillo salsa, I, like certain boxing judges are not above accepting bribes.  Delicious fried free bribes.   For my burrito food baby I ordered the Carnitas special with black beans (subbing out their standard pinto).  This was something I saw on the board outside and it came with guacamole as an included fixing all for $8.95.  Usually you have to pay a dollar additional for this.  Guac on. Why not 4 stars you ask?  Well, because I found the burrito to be a little on the flavorless side as mentioned by a slew of other yelpers, the shredded iceberg lettuce a little limp when nestled beside the warmer ingredients.  That being said the carnitas meat, guac and black beans were yummy and filling...but a little one dimensional. The free chips were fresh and of an authentic crispy fried quality.  I appreciated this high regard for quality in their free chip bar. I left the Burrito Box so full and with leftovers for dinner. For the sake of value and fullness I will be back.  Perhaps not right away as there are really no spectacular flavor notes I can recall that are dancing in my head.  All in all a good lunchtime meal. Come before or after the lunch rush, this place has a line that backs right up to the door, and most people usually take their burrito to go.  The wait for your food to come up can be a good 5 mins.  Really nice staff members here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.161514881; Sentiment_Subjectivity (from 0 to 1): 0.496684524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Easily one of my favorite restaurants in NYC. This place is so good, they actually deserve to be pretentious but they are not even remotely so. If you go at prime time, the wait can be considerable (but so worth it!!), but there are a couple of places near by (dutch, blue ribbon sushi) that are good spots to grab a drink while you wait. My husband and I have whittled down the menu to our favorites, which we rotate through every time we come here. Bone marrow: as good as everyone else describes it to be. If I had to be critical, I do think the amount of marmalade they give you has dwindled over the years, but the marrow is silky smooth perfection. Don't forget to sprinkle a bit of sea salt on top! (And note - this is a VERY heavy appetizer so keep that in mind if you're ordering a lot). Steak Tartare: absolutely delicious, particuarly paired with potato chips (adds a nice salty kick). Not too much horseradish, just the way I like it. Catfish: My favorite go-to entree (particularly because it's a bit lighter and we generally get a couple of the heavy apps). Fish is well-flavored and perfectly cooked and the accompanying mashed potatoes are delish. Fried Oysters: super delicious, perfectly fried but doesn't usually beat out the tartare or bone marrow Fried Chicken: very good, but VERY big (so go light on the app's if you order it). Don't forget to utilize the maple syrup... I ignored it for awhile before realizing how much it added to the flavor. Shrimp Provencal: This is my husband's go-to dish...not for me (too creamy) but he loves it. Yum!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.302103758; Sentiment_Subjectivity (from 0 to 1): 0.577418301 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fort Greeners and Brooklynites: you are SO LUCKY! I have never once rued the day I live in Manhattan, until Matt Hamilton opened another incredible restaurant far away from me! I go to this ideal neighborhood restaurant every chance I get anyway. In fact, I'd daresay it's one of my favorites of all time, and know this, people, I am a huge food snob. I've been to a million places in the city and Lulu and Po, as well as Hamilton's past restaurants, Belcourt and Uovo, kick the NYC food world's butts. The environment is warm, the staff is smart and sweet, and oh wait did I mention the FOOD?! Just go. And enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.398165092; Sentiment_Subjectivity (from 0 to 1): 0.706926407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 needs to implement a better reservation policy.  I have NEVER experienced making a reservation at a restaurant and the reservation is NOT honored! My party of 12 reservation was taken away after the restaurant opened for Sunday Brunch @ 12, five minutes later while we were waiting on line.  Who does THAT! You need to have a 30 minute grace period especially if you have a line outside prior to your establishment opening. But I thank you because you introduced me to another restaurant in the area that was happy to have a party of 12 to dine with them. And they didn't charge us a cake fee.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.114285714; Sentiment_Subjectivity (from 0 to 1): 0.492857143 [/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: Awesome!!  Cool place, great service, fantastic food and  the Chiang Mai Fries too good to put into words!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.685; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 amazing food. I went here on a night out after a show with the ladies and I was totally impressed. I ordered their chicken and waffles. The chicken was white meat and it was amazingly soft and juicy. The waffles were decadent, fluffy and flavorful. Nothing about it was overwhelming in the taste. The yams were a bit too sweet for my palate that night because I was already eating waffles with syrup, but they were divine as well. We all picked off each others plate, so I got to taste the mac and cheese (omgoodness baked and seasoned!) and the greens ( seasoned to perfection). Nothing was overwhelmingly "this" or "That" about any of their food, which some soul food places tend to do. To say I totally enjoyed this food even while watching the horrible game against OKC and Miami, is totally an understatement. It is because of this food that I didn't rip the large 50 some odd inch tv off the wall and dash it out the window. Saved me a lawsuit and some broken bones (cuz after a 5 foot 2 girl goes Hulk, it don't furn right there after...im just saying.) Love Amy Ruth's and love also that they do take card, no card limit imposed. Thanks for saving me Amy's! I will be back soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103993056; Sentiment_Subjectivity (from 0 to 1): 0.565178571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch with a friend. Their outdoor seating area in the back is open in the summer. Above average BBQ joint. Ordered the platter. Decent amount of food for 2 people. They gave us their apple cakes on the house. Awesome. Free food is always a win. Definitely had better BBQ elsewhere though.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.271666667; Sentiment_Subjectivity (from 0 to 1): 0.486666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can you say BEST LATE NIGHT SNACK EVER?? This place is awesome simply because its: 1) they sell french fries- who doesn't love them?? 2) they have more than 30 different sauces for these fries. The mango chutney one is SO GOOD. 3) it's in st marks place- good location. 4) has a strangely good ambiance/feeling when you walk in here. Be ready to wait on a long line that extends out the door, especially on late nights.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.310714286; Sentiment_Subjectivity (from 0 to 1): 0.546938776 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Red vinyl chairs, a long stretch of bar stools, black and white pictures of various rock and roll icons, Rolling Rock in a bottle, playing mid 90's alternative rock hits, you know the place. You just wouldn't know it from walking by outside.  I walked by so many times with no interest to go in whatsoever.  I feel like the frilly planters and the green paint don't really match with the vibe inside.   Great angus burger, they had medium rare done to perfection, and the bf was down with his veggie burger and veggie chili fries.  Their spicy cole slaw was actually spicy.  Shocker.   At one point I swear I saw various members from Hootie and the Blowfish at the bar. I'll be back, though I may smuggle in my own BBQ sauce.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.10751634; Sentiment_Subjectivity (from 0 to 1): 0.348366013 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Way too expensive for what it is, Selections are terrible, food was ok, Chipotle was better sadly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.2; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Get the square slice, it's what this place is known for. Diverge and you'll be sorely disappointed. Take my word for it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.75; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I teetered between 4 and 5 stars for this one, but I settled on four because I felt like it.  I'll be back to this joint, so take that for what it's worth.   A very sexy special someone and I shared the following: -Pumpkin and Goat Cheese Croquetas: anything pumpkin would please both of us, so this was a big win. -Calamares Fritos: yum. -Mussels: double yum. -Dorada w/ Sunchoke Gazpacho: the gazpacho was killer.   -Goat with Saffron Honey: to die for. Top this all off with a great, and highly-recommended bottle of tempranillo, and this place is a winner.  I'm moving to Spain immediately.  Or at least Mario Batali's Spain.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.282467532; Sentiment_Subjectivity (from 0 to 1): 0.356493506 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spot! went there with wife and friends, we celebrated a birthday. we had reservations and got there at about 10 minutes late, SO we did not mind waiting. needless to say the wait was about 5 minute's was awesome! there was a complaint about us being "loud". the waitress was fine and funny about it. bc we were just as loud as the reset of the crowd. the food is awesome! i do not remember the type of win we had, but the wine was excellent. and you cannot leave without trying all of the desserts! yes all of them! will be back! ohh yea and it is hard to find. while at the bar some people were knocking on the emergency exit for us to let them in..lol..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.308333333; Sentiment_Subjectivity (from 0 to 1): 0.689444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Vitae is a hidden gem, the food and service was top notch in an area known for chains and bad food.  I had a 6pm reservation and it was definitely not needed as we were the only table at 6pm and by the time we left past 7pm only one or two other tables had been taken.  This was back in April so I hope their business has picked up since then because if there was a restaurant that deserved to thrive this is it.  One of our party was a vegetarian and they were very accommodating in taking care of his needs.  They gave us their parker house rolls brushed with olive oil, and once he was done they let us know about the duck fat they normally use and we got some of those and boy were they tasty.  My appetizer was a perfectly poached egg with salsify, bacon, and a bunch of other delicious things all mixed together and served with some toast.  It was a perfect mix of salty, fatty, crunchy, and richness.  This was a must have dish.  For my main course I had duck served two ways, a pan roasted breast and a confit of leg.  It was served wit a side of a marmalade and brussel sprouts.  Now I normally HATE burssel sprouts but Vitae did some kind of magic to these and they were absolutely delicious.  One misstep with dinner was that my friends both ordered a ravioli dish, one of them got the half portion and the other got the full portion.  The full portion was double the cost but only had 2 more ravioli total, definitely not the amount that it should have been for the price.  They both enjoyed it but they need to adjust the portion size of this if they are going to charge twice the price.  Dessert had a delicious chocolate souffle that was awesome and worth the time for them to bake it from scratch.   I hope Vitae can fix these minor issues and attract a large clientele because they certainly deserve it with their food and service. The cocktail I had, the Gaelic Cup, was delicious and it had the most interesting ice cube, it was one giant ice cube that fit the whole glass (obviously with enough room for the drink).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.217435516; Sentiment_Subjectivity (from 0 to 1): 0.563020833 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had a really enjoyable experience.  I was there tonight/Tuesday around 6pm and it was pretty packed.  They actually don't take reservations but were able to accommodate the group of 9 that we had.  Flexible and friendly service.  Much appreciated! And, I'm pretty sure I had the best banh mi sandwich I ever had!  Crab cake deliciousness.  Also, the food came out ridiculously quick!  Really great experience and will definitely be back! Note: Cash only!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.372435897; Sentiment_Subjectivity (from 0 to 1): 0.566452991 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Risotteria Melotti. It is adorable, amazing ambience, delicious and surprising delicious, and the friendliest staff. I wanted to visit the restaurant since it is 100% percent gluten free. My boyfriend and I brought our own bottle of wine, which they happily served us. The staff was so friendly and I felt like I was a guest in the home of an Italian family, not at just another restaurant. We had a fresh salad and the risotto that is infused with fig and wrapped in prosciutto. We were sharing both dishes and they split up both into separate bowls without us even asking. I will definitely be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.536538462; Sentiment_Subjectivity (from 0 to 1): 0.692307692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Two Words: Over Rated. After hearing this place repeatedly from friends, I decided to check it out. The food was ordinary. Not extra ordinary or heaven-like as many reviews wrote about, it was plain ordinary. I do not know what is so special about the white sauce, or the Crack Sauce as many people refer to it . I have tasted platters like this, if not better on campus in New Jersey. Really disappointed...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.039231602; Sentiment_Subjectivity (from 0 to 1): 0.436093074 [/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: Officially my absolute favorite Filipino restaurant in the city!!!! I went twice last week...and had to keep myself from returning a third time. Completely unpretentious with fantastic comfort food. I recommend the Kare Kare (oxtail in peanut sauce), Longsilog (under the brunch menu), and Lechon Kawali (fried pork belly heaven). Accompany everything with garlic fried rice! We also had the Chicken Adobo, which was good, but I personally don't think I'm a big fan of the dish (so absolutely at no fault of the restaurant). Don't forget the Halo Halo!! Ok, I'm salivating here...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.186979167; Sentiment_Subjectivity (from 0 to 1): 0.551388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.  Been here several times. The lemon pasta is a revelation; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.455; Sentiment_Subjectivity (from 0 to 1): 0.39 [/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: Good appetizers and decent price. I really liked their red curry. The staff needs some more training but good effort.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.444444444; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great atmosphere. Great Tacos. Great prices. Great Margaritas. Great service. What more do you need to know?; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.708333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by far one of my favorite places in Staten Island, and not because it is in walking distance (3 blocks) of the FREE 24 hour beautiful ferry ride to NYC, and not because I lived across the street for a while, and not because I in any way favor the Italians (well maybe) haha Every time you come here you will experience something new. The place is soothing, rustic, you almost feel as though you are in Italy and your distant family is cooking you a meal minus all the loud fighting (hey we Italians sound like we are fighting but we just yell when we talk). Exposed brick around you. The sights of cowbells and pictures of saints on the wall. You may watch the women chef prepare your meal with care, love, and passion. Quite often they come to the table to talk and see if you like what they prepared. You are always welcome to talk to them, it is all so very close. If you speak Italian or are learning, they welcome you to practice and share what you have learned. If you don't see anything you like on the menu (which I doubt) you can ask them if they can prepare something else and give them an idea of what you want to eat - it could be a very individualized experience. Each day is a different menu, some of the items remain steady like the appetizers but depending on who is cooking that night, each chef represents a different region of Italy, specials are listed accordingly. So if you visit on Sicilian night... be sure to also try Napoli night. Italian cuisine varies widely so you cannot judge on one experience alone. The antipasto is heavenly, the quality of all of the food is stupendous, mostly everything being imported from Italy. I enjoy the appetizer plate usually, consisting of soft bread, mozzarella, olives, prosciutto, etc your basic Italian dream. The lasagna is something you must try... I think it is Nina who makes the one I love with the eggs in it... mMmmMmm all at a reasonable price - I think it was 10 bucks. Now, the biggest complaint when I bring people is the portion size. This is not an AMERICAN restaurant, we are used to being fat and eating something along the lines of a small horse, here you will be served as if you were in Italy. Smaller portions, better quality, and at a reasonable price. The wine list is extensive and the owner frequently is found in the place BSing with the customers and offering a free tasting here and there. My one gripe I overlooked is I can never get the front table! The table was made by the owner, it is right in the storefront, and seats about 6 people... grrrr I want that table one day!! So if you feel like taking a ferry ride or think of yourself as a big foodie it will be worth it...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.170668479; Sentiment_Subjectivity (from 0 to 1): 0.471801906 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love, love, love Rye restaurant.  How the dishes are prepared, the service was professional and suggestive. Their fall/winter menu has been recently released and if you like sea scallops, then you must order this dish! They are perfectly prepared with a kale and lentil side that blew us away with how delicious it was. We have eaten here several times but our most recent visit was an absolute pleasure because we went on a Tues evening on the early side.  We walked in with no reservation so we sat down right away.  Few tables were filled so we were able to sit comfortably.  So keep that in mind when you decide to visit Rye!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318342152; Sentiment_Subjectivity (from 0 to 1): 0.519422399 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome pizza! Always fresh ... always busy! Def a must have when you're in the city. Bon Appetit!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.485416667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pizza was incredible however the service was terrible. I'm glad I experienced the pizza but I won't be going back. Not to mention they had a C grade for sanitary....; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.24; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a great, kid friendly restaurant. We went for an early dinner on Saturday night. The restaurant is has a lot of Ukrainian decorations and the servers wear Ukrainian outfits (at least I think they were Ukrainian).   The food was very tasty. We had: Hearty brown bread with garlic paste spread - delish. Blini with red caviar and fresh sour cream - delicious. Even my super picky daughter loved the fresh blini. Potato Latkes with fresh sour cream - so tasty and not greasy. Beet Salad - very good. Beef Stroganoff - excellent. Chicken Kiev - very tasty, but a little heavy on the parsley for my taste, the hubby loved it. Roasted Potatoes - very good. Hamburger - the girls enjoyed it. Horseradish infused vodka - so good! All in all, a great meal. We would definitely come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.322808642; Sentiment_Subjectivity (from 0 to 1): 0.539876543 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Also had the duck salad last weekend cause I wasn't feeling that hungry.  Very subtle taste of vinegar (which I enjoy), lots of crispy ducky goodness and some serious taste.  Solid meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.073333333; Sentiment_Subjectivity (from 0 to 1): 0.396666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best dumplings in queens they been around for years I love them they are the nicest people been a faithful customer for 8 years. my favorite food is the steamed dumplings they even have a little of that  delicious soup juice inside just awesome and the beef noodle soup is amazing you will come out full as hell from there. Wicked awesome food go check it out!!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.640277778; Sentiment_Subjectivity (from 0 to 1): 0.761111111 [/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 made a reservation on open table for 8 people for Sunday brunch. One of my friends has a severe peanut and shellfish allergy so I emailed them asking about it. They clarified that he would be fine and he should just stay away from fish dishes. They called me two hours before to confirm the reservation which was great! Then when we arrived the manager came up to me and specifically asked who had the allergy and spoke with my friend about exactly what he should eat. When my friend placed the order the server was also already aware. The level of attention to detail was amazing... also they were just as attentive with the unlimited mimosas. We had a couple orders of the skillets, the flat bread appetizer and the meatballs. Everything was fantastic! I really suggest ordering the french toast for the table because it was on point. All and all amazing way to celebrate a Sunday.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.349305556; Sentiment_Subjectivity (from 0 to 1): 0.514583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bump hale and hearty! Small soup comes with a large piece of bread and an apple all for under $4! I officially found my new lunch spot. I had the potato and cheddar, SO GOOD. You can option for half a sandwich or salad for more, but the soup is more than enough. Service is fast and the place is really small. Can't wait for my next trip there and it's only four blocks away, I'm a lucky girl! ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164587199; Sentiment_Subjectivity (from 0 to 1): 0.527365492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 after seeing good reviews on yelp and nymag.com. Surprised to see a great place in midtown area. It was not pretensions or yuppy at all! very down to earth music (wu tang) and put good movies on.. nice environment all in all...food was awesome too. We have the beef tartar, pretzel, and babyback ribs.. all good however highly priced and still hungry.. This is a spot for you if you're willing to have a good time regardless of the price! umm the stool chairs were hard to sit on too..  kinda crowded but good food brings with good people!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.520793651; Sentiment_Subjectivity (from 0 to 1): 0.675515873 [/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 insanely good.  I've been here twice with friends and have not disappointed.  I've gotten the skirt steak which was tender and delicious.  The catfish tacos are not to be missed either.   The only drawback is that the wait can take forever sometimes.  Try to place a reservation ahead of time if your party is particularly big.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.415; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to admit I'm American as hotdogs and beers at 2p.m. in your aunt Betty's trailer, but this bistro is good eatin'. I've only been at night, so as far as day time  brunch is concerned, I have no idea. I am vegetarian-they will accommodate you here. I'm not a wine drinker, but I always see their small bar loaded with people. Many of the customers seem to be regulars. If they are not, then they are greeted as such. Food: You can tell the ingredients are quality. Lots of fresh herbs. My boyfriend thought he could even detect truffle oil in the fish dish he had ordered here last time. The mushroom risotto is neither overwhelming to the palate or bland. The crepe desert was excellent. My daughter loves this place, so bring your kid if you want. Ambience: Relaxed and....French.  The waiter at night both times I have been was super accommodating and nice. Sometimes I hear French spoken here between staff. It's a nice little additive of authenticity. One thing to note - it's cash only. Get thee to yonder corner liquor mart for an ATM six spot or more, because it can get pricey, especially if you want desert, but I once ate here for $30 bucks and it was still delicious. Basically, if you want to feel French and have some fine wine and low lighting, check this place out. It's a really chill place to eat and drink and muse on why American food isn't this good. I am not in any way connected with the establishment or friends with any of the staff. I'm giving five stars for quality food and efficient (not to mention friendly) service. It's hard to find both in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.238936782; Sentiment_Subjectivity (from 0 to 1): 0.576149425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 former student took me to her favorite place in the city- L'Artisusi We were greeted by her favorite waiter - followed by the manager. I knew this was a place I would enjoy dinning in. Despite the bustling at the various tables - it had a family feel. To kick off the meal- we ordered the Sparkling Rose - which  was Devine. I was pleasantly surprised by the taste - it's on my check list to order this again. We started with the Crudo - we ordered the Escolar. I'm not a fan of raw fish- however the hint of chilies - made the dish salty and less fishy. If you're a fan of suchi- a must try! Off the Vendura menu- we ordered the Kale Salad. Which included cranberries and walnuts. One of the best salads I've had in a long time. Off the Pasta menu- we ordered the Bolognese which came with flat pasta. It wasn't too heavy- a great meal by it self - if you're looking for a pasta dish- or this! As a side - we ordered the roasted corn, ricotta cheese / jam and biscuits. The dinner ended with dessert- the caramelized bread pudding: which came with a complimentary vanilla gelato. Everything was served on a small plate- which allowed you  to have your own private tasting. My first experience was spectacular. I look forward to another experience like this.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.244294872; Sentiment_Subjectivity (from 0 to 1): 0.548076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's Tom Colicchios restaurant and I went there to be impressed. Happy to say it didn't disappoint. Absolutely loved the Dorade it's a whole fish, crispy skin, amazing sauce. Afogato espresso mouse desert was light and delicious. Will definitely go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5875; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Long Lines and Cash Only. That's a sign of one of the top 10 pizza joints in NY.  I recommend adding capers and olives to your pie.   As good as Grimaldi is, Di fara's is still the best pizza in NY.   It's better to just order a pie and have it at the promenade.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their chai latte tasted a little weird (coworkers agreed) but the Intelligentsia coffee is spot on. They have some great sweet snacks (apparently from Balthazar, oooh). The staff manages to be both friendly and competent. It's a small spot, so get yours to go and be glad you escaped the line for Financier and the neverending wait for your incorrectly made drink with a hilariously inaccurate name on it at Starbucks. I predict a lot of cold brew iced coffees from here in my future. $5 credit card minimum!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.110576923; Sentiment_Subjectivity (from 0 to 1): 0.626282051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nice place! Polite and very helpful employee! And most of all the food is very good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.68125; 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: This place is great!  We came here for a reception a couple of months ago and the food and service were fabulous.  The place has a nice vibe too.  The owner came over several times to make sure we were all enjoying everything and we were :). The bloody Marys were excellent.  Just the right balance of vodka to mix. We had so many different plates ( so many I swear I can't remember) and nothing was short of delicious.  We are going back in a few weeks because we definitely enjoyed it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.349206349; Sentiment_Subjectivity (from 0 to 1): 0.631922399 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has a fabulous selection of pasta but if for some reason you don't eat pasta...stay AWAY!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Rye is stupid overpriced. I went for an obligatory birthday party, and the atmosphere is great, but beyond that I was left with a plate with literally 4 unexceptional raviolis for $12 and bourgie sassy staff. Starting to think "nice" restaurants in Brooklyn don't understand how value works.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.12; Sentiment_Subjectivity (from 0 to 1): 0.57 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a city with a million amazing restaurants, Bianca holds strong.  One of my favorite restaurants ever.  Great food, great prices, and a fun next door bar to wait in until your table is ready!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.460416667; Sentiment_Subjectivity (from 0 to 1): 0.604166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 meatballs, meatball parm pizza and their well known artichoke pizza In my opinion the artichoke pizza was way too cheesy and too salty for my taste, crust was way too heavy. Be ready to eat your carbs for the month if you come here. Meatball pizza and meatballs were good but you can't really mess up meatballs though Definitely order their beer...comes in a 24oz cup Note if you order from the take out next door you are not allowed to eat at the dine in restaurant Two pizzas and an order of meatballs with refreshments for 6 people came out to $22 a piece which is decent; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.023958333; Sentiment_Subjectivity (from 0 to 1): 0.492708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had some of the best pizza I've ever eaten. Very small place, but the pizza was packed with flavor. Excellent thin crust pizza; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.31875; Sentiment_Subjectivity (from 0 to 1): 0.6675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'd waited a long time to come to Buttermilk, so my expectations were pretty high. Overall I was definitely not disappointed. We showed up on a Friday night and were told we had an hour and a half waiting ahead of us so we put our names down (as well as our phone number). We went to a nearby bar and got a call 45 minutes later letting us know our table was ready. Nice. We arrived and were thanked by several employees for, "being kind enough to wait". Pretty nice considering waiting is pretty expected at a place like this. I appreciated that a lot. Makes you feel like not just another number, but a customer that they care about making happy. We ordered a bunch of stuff to start out (bacon/maple almonds, cheese plate, mustard crusted bacon). It was all pretty good. I liked the blue cheese and the mustard bacon best. Thought the almonds were a bit overrated, though interesting. We both had the fried chicken and cheddar waffles, because really, what else would you have on your first visit? It was solid. Very well done fried chicken - crispy and flavorful without being greasy at all. It really was a sort of "gourmet" chicken and waffles. For dessert (of COURSE we had dessert...) we got a cookie plate and a root beer float to share. Both solid, though nothing spectacular about either one. I'd come back and get the chicken and waffles again. A nice experience overall - probably best for special occasions with people who like fun food but are looking for something kinda "classy" for the night.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.192323736; Sentiment_Subjectivity (from 0 to 1): 0.52907715 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brooklyn is becoming more and more popular as a foodie destination.  I'll be honest - I'm very hesitant to go out of my way into Brooklyn to eat, when I'm right in the heart of Manhattan.  I mean, it IS the food capital of the world, no? At least in my mind it is.  However, there is one thing Manhattan doesn't have...and that's Pies N Thighs. I had read about pies n thighs on various food blogs and had it in my mind as an "if ur ever in williamsburg for some reason, try it out" place.  We had planned originally to venture to the Buttermilk Channel for their fried chicken and waffles, after its been receiving so much attention online and on tv.  I must say, not being able to go proved to be a blessing in disguise.  Since we already had fried chicken in mind, we decided to try pies n thighs. Got there around 730 and waited for about 20 minutes.  The restaurant itself is a no frills, slightly homey place. There were a few tables in the front and then in the back it opened up to a larger space with some more seating.   Ordered the fried chicken, all dark meat (of course), and mac and cheese.  I love fried food, take almost anything, throw it in the fryer and i'll be a happy camper.  That being said - I know my fried food and let me just say the chicken was fried to perfection.  They gave me three pieces - 2 thighs and a leg - already a good sign of what was to come. The chicken itself wasn't greasy at all, so you could tell the person in charge knew what he was doing and had the oil at the perfect temperature. The meat was incredibly juicy and the skin ridiculously crisp.  The batter was perfect, not too light that it wasn't noticeable, and not too heavy that it was overwhelming.  There was a harmonious balance of the succulent meat and the light crisp batter.  Throw some hot sauce on it and I was in heaven. Along with the chicken, came a biscuit and mac and cheese.  I love biscuits and this did not disappoint. It was pretty large and quite filling, yet so addictive.  Everyime I took a bite, I'd subconsciously tell myself, no more, while already taking another bite.  The buttery flavor, the flaky buttery layers and chewy inside, all made me crave more even as I was filling my stomach to capacity.  The mac and cheese was solid.  Typical mac and cheese, with a splash of hot sauce on it.  Made for a good accompaniment to the chicken.  One complete meal for a fatty like myself, so delicious.   There were only two complaints I had.  Despite being stuffed, we has to try the namesake "pie" since we had already established the "thigh" part was phenomenal.  We ordered the fried Apple pie and the banana cream pie.  Both were just eh.  The Apple pie, unlike the chicken, was not fried well.  Tasted slightly burnt and just wasn't appetizing.  The banana pie was alright. Nothing to rave about.   Lastly, the server we had seemed to be having an off day.  Now I don't mind so much, since I was blown away with the fried chicken. And at the end of the day, I really care about the food more so than anyhing else (though good service is a definite positive and welcome addition).  Our server kind of just mumbled stuff and seemed kind of miserable to be there.  At the end, we couldn't even find her.   Overall, I'd have to dock the place one star for the pies and service.  The chicken on its own deserves the full 5 stars.  Pies n thighs has completely changed my adversity towards Brooklyn as a food destination, and I will definitely be returning for more of the delicious fried chicken; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1587313; Sentiment_Subjectivity (from 0 to 1): 0.636779413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch place!! It definitely has a tavern-y feel to it; I imagine it could also be really fun as a bar for late-night festivities, but I went for their Sunday brunch. The place was not that crowded at noon but filled up by 1. The waitress was super friendly and cracked jokes all over the place, which definitely went with the vibe set by the butcher paper tablecloth and the large crayons provided to every table. We were immediately asked for our choice in drinks, with some people getting both coffee and juice or a cocktail (overall, they were pretty generous with drinks!). Food-wise, the bread basket (more like croissant-and-muffin basket) that they gave us was INCREDIBLY good. I got the Tavern Eggs, which were basically eggs benedict with some trout meat, which made for a unique and quite tasty meal. Portions were average-sized for a NYC brunch. But all the food looked and tasted amazing. And the best part is that we all got this for just $14 a person; we left wondering how on earth the restaurant could make a profit on such a price. Overall, a great place to go for a traditional and cost-effective Sunday brunch.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.345505952; Sentiment_Subjectivity (from 0 to 1): 0.537261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thing about getting a lot of great press and being a famous hangout is that people come in with all kinds of crazy expectations.  Sometimes, I read these negative reviews and even viewing the point of view of the writer, I can see they are the most annoying customer on the planet.  This place is great, the service is great, too.  You must make a reservation in advance, though.  We were seated close to the action up front.  Fascinating.  We witnessed the maitre d' deal with some blowhard who was angry he could not be seated.  The way in which he dealt with this pain in the ass was a masterpiece, he kept cool and professional.   It was dinner theater for us.  Anyway, enough of that.  The food was great, we had the pepper steak, a bottle of cremant, oysters, and the salad niscoise which is the best ever.  The tuna was perfect.  Dessert is not to be missed.  Another great night at Balthazar.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.336111111; Sentiment_Subjectivity (from 0 to 1): 0.663888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 confused about the popularity of this place.  The pork in the taco had lots of potential(had some flavor and bits of pineapple) but overall the tacos were overpriced and bland.  I tried one of each meat.  No cheese, sour cream, salsa (although there was a bowl of salsa at the counter but I couldn't put it on since mine were wrapped to go).  Also didn't think the meat was salted enough including the pork.  All in all the lamest food I had all week in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.167333333; Sentiment_Subjectivity (from 0 to 1): 0.468666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Italian, for what it's worth - thin pizza with few, but very fresh and tasty ingredients, thin sauce. Room temperature water and no A/C. Service lacks urgency. If you want a New York style experience, go elsewhere. If you want to feel like you're eating in Naples, find your way to Bed-Stuy. The backyard/garden is a great place to chill - you will be there for a while, so try to sit outside if the weather permits.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.06959596; Sentiment_Subjectivity (from 0 to 1): 0.422727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Walk up the narrow stairs. Push past those curtains and find yourself in JAPAN!! Cha-An was like a heaven when my friend and I needed shelter from the scorching sun outside. It's a part of the T.I.C Group Restaurants (Sobaya, Robotaya, Otafuku)  which is known for their authentic Japanese cuisines. Some of the waitresses are dressed in kimonos and there's even a private tea room you can rent for a Japanese tea ceremony. We ordered a couple of desserts from the dessert menu. Our favorites were: Chai Latte- yum. The taste of chai is strong mixed in with a light milky latte. If you don't like chai tea, this might not be the best choice for you. Black sesame and sake ice cream- It was the first time I had these flavors and I loved them. The black sesame tasted similar to the Korean black sesame soy milk juice boxes. The sake ice cream was a vanilla ice cream flavor with a hint of a scent and taste of sake (Japanese rice wine). The crunchy sesame tuile rested on top of the ice cream was also exceptionally good. BTW HUGE TIP!!: GO INTO THEIR BATHROOM! It's so amazingly clean. The bathroom alone actually feels like I've been transported to Japan. 5 Stars because of the bathroom :) I really love the bathroom here..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.221625; Sentiment_Subjectivity (from 0 to 1): 0.441666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My experience at Northern Spy Co. left me sadly flat.  Perhaps it's because the restaurant is hyped up in nearly every New York food list and my expectations were set unreasonably high.  Whatever the culprit, despite ordering the most touted items, I was unmoved. The interior of the shop is completely charming in a shabby chic way with vintage-y wallpaper and rustic tables.  The restaurant was toasty warm on the cold day we visited and although we arrived to relatively empty tables, the dining room was 90% full by the time we concluded our meal: 1. Kale Salad ($12) - enjoyed the salad although I found the dressing rather unusually sour for my taste.  The best parts of the salad were the toasted almonds and the pecorino cheese bits.  It was a rather large mound of salad, but at $12, rather expensive without any proteins 2. Chicken & Egg Sandwich ($12) - we scheduled the lunch expressly so I could try this and I was disappointed.  While I love the use of chicken thigh, the description plainly states "crispy thigh" and this chicken was sadly not at all crispy.  The egg and bread were tasty, and the chimichurri was a nice touch, but as a bonafide crispy-holic, I was so disappointed in the lack of crispy.  Perhaps it was an off day for the kitchen? 3. Lamb Burger ($16) - tasty and juicy but very small.  Only about half the size of the bun.  The duck fat fries were very nice and abundant 4. Apple Fritter ($3) - they warmed this for us and it was probably the best part of the meal.  Lots of apple bits PARTING THOUGHT: Given the Yelp and Critic lovin' given to Northern Spy Food Co., I have to believe that I went on an off day, but New York has too many new and great restaurants for me to give them a second chance...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116178451; Sentiment_Subjectivity (from 0 to 1): 0.591694925 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Interesting place with some great food. The décor reminds me of a 60's TV show, the tables were a perfect size for 4 people and at first sight I thought the low back chairs would be uncomfortable, but they not. Our waiter, Jason, was great...and a lot of fun. All the dishes were prepared and presented perfectly my risotto appetizer (1/2 order) was done just right, and the artic char in a Asian inspired ginger broth would be worth repeating. I tasted my friends gnocchi and also perfect. For desert, we shared their selection of ice creams and sherbets. While we were all full from the dinner, these tasty treats disappeared fast Great meal and service, with good friends. I will return my next trip..; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.388095238; Sentiment_Subjectivity (from 0 to 1): 0.512169312 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 atmosphere is amazing. Cozy, dark and relaxed. The food is amazing. Even the little beans they give you with the bread while you're sitting in the amazing atmosphere waiting for your amazing food is (for lack of a better word) amazing! I tried Burrata here for the first time... what's another word to use here... mind blowing. I usually get the Spaghetti al Limone and love it every time. The only thing I'd like better is if they accepted credit cards. The food and atmosphere send out such good vibes, I'm always so tempted to order a few glasses of wine, but I have to stop myself because I only have so much cash on me. Then again, maybe that's a good thing though after all...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275625; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's only three items on the menu. But when you're this good why do you need anything else? Things to get: The Artichoke pizza Thinner crust style: The Marghertia Seafood style: The crab In a city that loves pizza, Artichoke does not fail.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316666667; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here at 2:00am and got the roast duck congee. My friend got a roast duck noodle soup. Both were awesome and exactly what we needed that cold night. Seems like a pretty standard noodle shop, with the added value of being open late. Don't know if I would go here during the day, but definitely would go again at night.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.075; Sentiment_Subjectivity (from 0 to 1): 0.60625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've had several dinners here on both weekdays and weekends. The place seems to be pretty popular, but I was able to find a table for two people with no wait every time I visited. Deco: The interior of this restaurant is pretty interesting with a myriad of bowls and dishes on the wall. Food: They are not great, but not too bad either. Their duck dishes are pretty good. Don't get the Pad Thai; you will taste the ketchup instead of the authentic sweet Pad Thai sauce. Service: An okay service. The female server is very attentive and nice, but the male server is kind of zoning out every time I visit here. Overall: You'll get a decent food at an affordable price. Not highly recommended, but one visit won't ruin you either.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.243174603; Sentiment_Subjectivity (from 0 to 1): 0.634047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i would like to rate this a 5 start only give it a 1 star cause the star of the place ( sue) is no longer here and didn't get the kind of hospitality that was said on yelp which i was hoping for and i was greeted by a lady name " inas " which was no help at all to explain the dishes to me on what is good to eat i asked the chef / owner nasser where is sue he just avoided the question and said inas is much better but is not even close as been good as sue on what i read about her on yelp ...so i will not eat here nor give it a 5 star till she is back .....all with me we want sue !!!!!   we want sue !!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; 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: Finally tried this place and was completely underwhelmed. I did the breakfast for dinner (with limited options) and it's pretty hard to mess up a simple omelet with salad and homes fries. Maybe I will try again during their actual brunch since the Southern Breakfast and Chicken and Waffles sound yummy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.035281385; Sentiment_Subjectivity (from 0 to 1): 0.460606061 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice interior , fast service reasonable priced but food is pretty average. Tried the dry pork and crab noodle. I felt it was really hyped on yelp!! Sorry yelpers :) the thai iced tea was definitely very good. The music is good and the posters on the wall definitely adds to the charm. Also no credit card under 15 bucks!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.246319444; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can't tell you how happy my family was with our recent Bar Mitzvah at Mundo.   We live in Manhattan and were looking for a unique environment for our celebration.  We looked at many locations in the city and in this neighborhood, but couldn't find a location that satisfied all of our needs.  When we first visited Mundo at the Paper Factory, we knew that this would be a perfect place for our party.   The manager and staff were amazingly accommodating and provided a great deal of support in regards to planning our party.  They provided us guidance regarding the decorations, food choices, organization of space, placement of entertainment, and helped manage the entire evening.   The decor at the Mundo and the Paper Factory are amazing.  We received great feedback from our guests in regard to the food and environment.  The Paper Factory and Mundo is a hotel that you would expect to see in Soho.   My family all stayed at the hotel, and were very happy. Thanks to all of the staff at Mundo and the Paper Factory for helping us put together an amazing and memorable evening.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.509491979; Sentiment_Subjectivity (from 0 to 1): 0.741666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent authentic Thai food. I tried almost everything on the steam table and they were all yummy but SPICY. $2 Thai ice teas... Can't beat that price!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8125; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here this past Sunday night. When my friend called to make a reservation for 8, they gave her a hard time and said they would try to squeeze us in. When we showed up we were literally the only people there. Throughout our meal there were never more than 6 or 8 tables with people. The one bright spot for the entire evening was our waitress who was extremely helpful. But unfortunately she was not nice enough to out weigh how poor the food was. If they wanted to bill themselves as an inexpensive tapas type place that would be appropriate, but instead they charge high prices for sub par food. There are a wealth of great restaurants in the area, avoid this one at all costs!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.017380952; Sentiment_Subjectivity (from 0 to 1): 0.686190476 [/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 eaten at The Halal Guys 5+ times over the past few years and have tried chicken or lamb over rice all over the city. THG has a more unique take on the dish that I do find to be tasty, but not superior to many of the others, and certainly not "the best".   The rice is orange and a bit buttery/oily but overall it works fine.  It isn't anything special by any means, however, outside of the oddly appetizing color.  The white sauce is mayo based, and does not really complement the meat and rice in taste, but does take the edge off the insanely hot red sauce and also makes the whole thing easier to eat.  As much as you might think you can tackle the heat, do not get too much of the red sauce (seriously!).  Is this why so many love the white sauce, in its ability to fight off the red?   If you're drunk, you might enjoy the intense hot/cool battle in your mouth between sauces, as only drunk courage will make you go after anything more than a few drops of the red sauce.  Pure heat, with little flavor.  Also, you will definitely pay for any drunk courage the next day. The meat is prepared using its own fat for sure, as that umami flavor certainly comes through (in a very good way).  Their meat preparation is perhaps most unique aspect of their '[meat] over rice" vs. others.  The meat is not as seasoned as in other joints, but however they do it, the strong meat flavor is what I like best about THG. I'd give the place 2.5 stars if I could but decided to round down this time as I do feel this place is way over hyped here on Yelp. I very much prefer Sammy's Halal (Queens) over this for '[meat] over rice' but outside of the 2 key ingredients and the use of a street cart, they are almost totally different dishes.  You might as well compare it with arroz con pollo too.   [Another minor gripe that did not impact my rating: Why does a "halal" place call it a "gyro"?] The actual meat and rice are fine on their own, but way too dry to consume by themselves, so you need the sauces. That's where it goes downhill for me. Mayonnaise based white sauce is for children or numb taste buds. To me this is like ketchup on a hot dog. The hot sauce is also one dimensional. I can definitely see how THG's product appeals to the crowd it gets at the times it is most popular (no offense to anyone, I've been a member).  Its place on the tourist circuit is a bit more puzzling.  I don't think it is in the top 5 of this type of joint in NYC, but I do crave it sometimes. Going to another random cart will not necessarily get you something equal or better, but for me, 1 out 3 times it will. The stronger flavors and seasonings at other joints I consider to be better may be what turns off many tourists. I don't feel that THG's meat and rice themselves are flavor-less, as some detractors do. I like that they aim for distinction and that they have (obviously) nailed down a formula for success.  The end product has some strong points but overall appeals to a more narrow palate. It most certainly is a great deal at $6.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.152518918; Sentiment_Subjectivity (from 0 to 1): 0.491910299 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pork belly sandwich was so good. A figure 8 of Sriracha sauce and it's perfection. I love how they cook the pork belly. It's still tender and fatty with a little char on the outside. Soo good. Not so much that you're feeling crazy full, but definitely a nice sized bite. I also had the red lentil soup. It was very tasty. Rich and flavorful for a vegetarian soup. Their roasted corn with coconut shavings was messy but tasty. The mayo sauce helped stick the shavings onto the corn. It was also nicely spiced. The prices were very reasonable for such a tasty sandwich. We ate upstairs and looked out over many cars being parked. The food was much better than the view. I'll definitely come back to try the rest of the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204642857; Sentiment_Subjectivity (from 0 to 1): 0.506190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was very good pizza... but I think some people have objections in principle that I don't necessarily share: of making pizza that big a deal, serving it in a candlelit setting with music, and giving it a date place feel. I'm ok with that generally, but I do think the wait and the hype is a bit unfounded, for this pizza and for any pizza that I can really imagine. Unless the wait itself is fun, like at Shake Shack when I'm just hanging out in a park, no matter how good a burger or slice is it's still just casual food and shouldn't be made otherwise. In this case we called around 5:30-6:00 for a table, was told 8:30 which is when we showed up, but didn't sit till 9:30 which is a bit much. As for the food, it's only calzones and pizzas right now.  We split two small mushroom calzones between the 4 of us which were pretty good. Although the mushrooms couldn't stand up to the cheese and didn't really assert themselves, would've added in another ingredient or swapped in something bolder. The our table got a grilled artichoke pizza which was very good, more subtle in flavor but quality ingredients. Followed by a pie with pepperoni and fresh hot peppers, which had really strong flavors and what ended up being a good combo, and stood out over the artichoke. Ingredients thoughout were legit, really fresh and of great quality.   Across the board I thought the dough was pretty good, had enough structure to not flop out and get soggy in the center which I hate about most "artisanal pizza". It wasn't perfect though in that it could've used a few more degrees of moisture and on its own was a bit bland. I left crust on the plate which should never be, and we picked up the habit of asking for extra sauce to use on the crust which says something too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254974937; Sentiment_Subjectivity (from 0 to 1): 0.566553885 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Call me a fatass but I'll choose Belgian fries over sticks of carrots for a mid-afternoon snack any day. And where else to go but Pommes Frites. A bit of a warning though; a formidable line does form outside of this joint at times, but it's well worth the wait. If you're one of those people who frequents Shack Shack, this line would be child's play to you. Upon ordering, you get to see the way they season their fries, and boy was it a sight to behold. Perfectly golden brown chunks of potato are flung into the air from a large bowl, ensuring every speck of every fry gets coated. It's not just food, it's pure art! Okay, I might be getting a little exaggerated there, but these are some seriously delicious fries. The proper condiment at this establishment isn't just ketchup, but I do believe that they serve it. I never cared enough to check thanks to the abundance of unique sauces. My personal favorite is the feta tomato. Yes, these sauces are artery clogging, but heck, if you're eating fries, the fat in the sauces are the least of your problems.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.166852679; Sentiment_Subjectivity (from 0 to 1): 0.504910714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Sicilian slices are GREAT!  Besides that, there are better places for Italian-American food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have only positive things to say about the food here- especially the mac & cheese. They have a cute atmosphere and a great happy hour. I've been coming here since I've been living in NY but unfortunately, they have lost my business. The service here has been absolutely atrocious the last few times I have gone. My friends and I went for my birthday and the server had attitude, refused to help us with some of their happy hour prices, ignored us, and was just an all-around horrible employee. One of my friends got  there late and at 6:55, decided he wanted to order some food from the happy hour menu (we all wanted another glass of wine as well). He tried to flag the server down, who made eye contact, and walked in the other direction. Strangely enough, the server was no where to be found until 7:01, when he came to our table. We explained that we were ready to order and tried to speak to him before happy hour was over but he started fighting with us, saying there was nothing that could be done. We started getting upset and he sighed and said he could check, but doubtful that anything would be in our favor. We didn't even get a chance to ask him for the other few glasses of wine (which we wouldn't have gotten anyway at HH prices because of his nasty attitude toward customers). He came back and said he would do the HH price mac & cheese for us but "next time we really need to make sure we order before 7pm)." We told him to cancel our order and we left to go to a MUCH better choice, Note, the time before when he served us, he had to change the check THREE times because he kept trying to overcharge us (once for a glass of wine that we never got, and two times because he was trying to charge us for full priced glasses when they were supposed to be HH prices). This level of service is absolutely appalling and they will not be getting our service again. *note: we spoke to the manager, who gave us some nice cheese on our way out and he was absolutely lovely to deal with but sadly, we just won't go back if there is any chance that we get stuck with that waiter again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.050603255; Sentiment_Subjectivity (from 0 to 1): 0.619163861 [/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: Top notch bbq.  We had the ribs, brisket, pork belly and sausages, with baked beans, broccoli salad, and potato salad as sides.  The pork belly was melt in your mouth tender, with the fat literally melt in your mouth.  The ribs and brisket were smoked long enough for the collages to break down assuring tender may.  The sausage had a good bite to it and a pop of spice.  Broccoli salad was tart and crunchy, potato salad and beans both good.  The only thing keeping it from five stars is the wait, was the second person on line and had a five to ten minute wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188271605; Sentiment_Subjectivity (from 0 to 1): 0.432098765 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In the former lovely Indian newsstand, opened Krupa Grocery in their namesake. Around the corner from my former abode, magic happens in the kitchen. This is new Brooklyn and the best of it. As I was sitting waiting for my food, I watched the kitchen action and just knew, this would be special. The menu is varied and eclectic. Brazino- $28 Salt & vinegar potatoes- $10 Burnt sugar pot de crème $10 Brazino was bathed in chilies, vegetable stock served with preserved lemons and blistered tomatoes- complex & finger lickin' good. The potatoes were hot, salty & a bit  naughty tasting of Spanish origins and a perfect co-plate. To finish the pot de crème with crème fraiche on top and a house made biscotti. Less crème fraiche would allow the butterscotch notes of this lovely desert to shine through and the great bite of the housemade biscotti. One suggestion would be to serve bread from Brooklyn, there is so much greatness locally and put it on the table, cause with a $28 main, bread should be automatic otherwise, this restaurant is far more than a local spot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.278896104; Sentiment_Subjectivity (from 0 to 1): 0.459415584 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: potato chips fritata gravy and biscuits sessions dark lager cruised in midday sunday seated and served timely food done well. portioned well. think i may start adding potato chips to my eggs now too. where can i buy that beer??; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.15; 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: Food: Phenomenal Ambiance: Cozy, rustic, borderline romantic for dinner, vibrant bar scene on Thursdays, packed Sat/Sun for brunch Price: Reasonable Service: Good, mostly consistent, at times slower depending on your server Cons: Close proximity to other tables, subpar coffee Brunch: Please order the Fritata - I DIE!!!!! DIE!!!! DIE!!! Sooo good! I usually order the fritata, the man orders eggs benedict, we share the goat cheese pistachio salad if not the out-of-this-world banana french toast. Other notable picks: chicken sandwich, scallops, chilean sea bass. EV always hits the spot, never fails to impress. I brought so many friends and family members  here (both from town and out of town ) and everybody left satisfied. Run don't walk to Extra Virgin :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.124603175; Sentiment_Subjectivity (from 0 to 1): 0.475396825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 incredible.. they create the most delectable and artistic sushi I've ever tasted!  Keep up the good work.  I love this place and will continue to come back for more!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.520238095; Sentiment_Subjectivity (from 0 to 1): 0.585714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was dragged by a friend to go completely out of my way to have pizza there in the first place, was I impressed by the look of the store with chaotic lines and messy uncomfortable tables, of cos not! but i know appearance isn't everything when you look behind the counter how the old man (the only guy making the pizza) takes his time into making each pie.  I love how he chops fresh basil and pours olive oil into each pie.  we ordered a pie w half reg and half classic.  I have the say it's very good, though abit too much olive oil, the dough with the fresh sauce and cheese is a perfect combination to my taste buds.  It is slightly on the pricey end but i have to give him credits for being so patient and dedicate into making each pie! On the other hand, I dont quite understand why they don't try to make the place more efficient and more profitable!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.193333333; Sentiment_Subjectivity (from 0 to 1): 0.507380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 surprised with the great food, service and atmosphere. I went there for lunch with a friend. We shared Delicata Squash with Hazelnuts- amazing! and Brussels Sprouts with Local Apples. plus Calamari with Farro & Salsa Verde: it was very healthy and perfect seasoning. We also shared (cod) Market Fish with Swiss Chard & Grapefruit. it was soooo  yummy. I can't wait to go back to this place and try other menus. Maybe I will do a romantic dinner one evening.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.352777778; Sentiment_Subjectivity (from 0 to 1): 0.563888889 [/INST] Not Spam</s>