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: The soup dumplings are freaking awesome. They are busy so expect to sit with other people at the same table at peak hours. Just make sure you bite a hole and let it lose it's steam before burning the rood of your mouth.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.295; Sentiment_Subjectivity (from 0 to 1): 0.537777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has to be one of my favorites restaurants in K town. Specially when I'm all about soups, porridge, and more soup! I remember when they were located a few stores down and the day they closed down I was devastated! Hahaha. But when they opened again you couldn't imagine how happy I was. The decor its simple / modern. The restaurant its set up on a three level layout. The food its very good, and their lunch combos are priced decently.  The soon tofu soups I always go for are the pork, kimchi and beef. The way I ordered it its: Spicy, with little tofu and more broth, soup! They always get it right. Just remember when you go to a korean restaurant always be ready to order as soon as possible, if you need something just lift your hand in a sweeping motion and get the waiter/tress attention that way.. Or you will be waiting a little while.. Overall really enjoy this restaurant! And you can go for dessert to the many shops around that sell korean bakery, coffee, bubble tea and frozen yogurt!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.212834467; Sentiment_Subjectivity (from 0 to 1): 0.470891912 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here in for lunch I think on a Friday, can't remember.  Had a nice time, the food was simple, filling and good and the beer was delicious.  I agree, good music and decor!  I'd be there more often save the long trek from Greenpoint.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.517857143; Sentiment_Subjectivity (from 0 to 1): 0.636734694 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3 stars for Worst seating system ever. Food is good but not that outrageously good for a 2 hrs wait. If you come here with a big group there is no such thing as 'go that extra mile' to get you seated. I have always come to Ippudo every time I'm in town but this will be my last time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.057142857; Sentiment_Subjectivity (from 0 to 1): 0.423809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food wasn't good at all I had better Cuban food in Manhattan. I ordered a ropa vieja and to be sincere I had better ropa vieja elsewhere. We also ordered caldo gallego what a turn off it had a dead insect inside. How disgusting I kindly asked them to take it back and the waiter didn't even apologize really I was about to swallow an insect and you can't even say sorry not a word came out of him. I am never going back. Be careful guys.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1; 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: Me and my bf waited for 40 minutes so be prepared! My bf had the chicken and waffle and I had the mushroom sardou! The chicken wasn't crispy and the waffle to me was good but my bf said his mom's is better! The biscuit wasn't fluffy and very dense, the poached egg and spinach was good, and it had a sour taste to the dish! This place was too overrated! I went home with a tummy ache afterward maybe because of the sour taste!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.028125; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: used to live in the neighborhood, used to go all the time, now i just go everyonce in a while 'cause its a sardine can in there. Still going strong.try the lunch if you can't take the maddening brunch. seems to be just as satisfying.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318181818; Sentiment_Subjectivity (from 0 to 1): 0.75 [/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: Delicious food, incredible service, beautiful decor!!! VITE Vinestoria is a real gem! Great for friends and family, cute two-person tables for date nights, and the perfect bar to enjoy happy hour. I will be a regular here for sure. Forget Manhattan, go to VITE in Astoria! Very highly recommended!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.627916667; Sentiment_Subjectivity (from 0 to 1): 0.759817664 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To sum it up GREAT FOOD. Had the oxtails and they were fabulous, so was the rice and beans side dish.Had the Natilla for desert, very yummy. Portions are beyond generous. GREAT SERVICE. Very friendly and attentive waitstaff.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.514583333; 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: I went there for a late lunch on a Saturday afternoon. Service was ok although our waitress seemed like she was having a bad day. I liked the place it's very home-like. I came in for pasta - they say that Michael White is the Prince of pasta- and will not come back. I ordered the Vongole and although the pasta was obviously fresh and hand-made, it was a fail. It's fairly easy to make Vongole but t's also it's fairly easy to fail it if you don't wash the clams thoroughly. The result is a very unpleasant sensation. To make things worse it was way too salty. So much for an $18 pasta. I also had the meatballs. Very tender but again way too salty. The arugula salad was a little boring but at least not spoiled by salt. If you're looking for good pasta go to Lupa or Pepe Rosso.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.058291667; Sentiment_Subjectivity (from 0 to 1): 0.511666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here last night after having it bookmarked for a while. After waiting about 15 minutes to be seated on an extremely rainy night, the service was very good and everything was brought out quickly except for a beer one of the waiters forgot to bring me on my second round. The food was four stars which consisted of the don Plato and the empanadas. I had to ask for hot sauce though, which is a major turn off in a Mexican restaurant. The small bowl of what was probably home made sauce was very good but I felt like they wanted to charge me for it. They did charge for extra tortillas $1 how lovely. I sent back the draft margarita, as I did not like the carbonation. I would rate this place 3.4 stars as I've definitely have had much better experiences eating Mexican.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.17004902; Sentiment_Subjectivity (from 0 to 1): 0.419215686 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First of all, the restaurant was not meeting fire code at all. When we arrived our table was not only touching the walls we were also arm to arm with other customers. Food was good. Server Pablo was a jerk. Rude, horrible server, and couldn't understand a word he said. I would never dine here again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.003571429; Sentiment_Subjectivity (from 0 to 1): 0.629761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pizza was so delicious at Patzeria Perfect Pizza. I am so glad my good friend Bobbi Billard introduced me to it. When we walked in to the shop- it was a very small New York style room, than coming from Montana I was not used to. It was so busy and packed but i loved every minute of it! It felt like I was in the episode of Seinfeld- like the soup nazi, The guy who took our order wasn't too nice until we tipped him ;) lol and it was like a line up-  but the pizza was sooooooooooo good and it was a great New York experience! xoxo Jenna; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.521915584; Sentiment_Subjectivity (from 0 to 1): 0.727077922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 think another poster's response - eh - is just about right. We came in with a reservation to an almost entirely empty restaurant. We were ordered drinks and an appetizer, which came out almost immediately - long before we had ordered the rest of our food. We ordered the rest of our food, which all came out in less than ten minutes, while we were still eating the appetizer. Once we were slowing down, the waitress tried to take our plates away several times. For an almost entirely empty restaurant, they seemed far too concerned to turn the table in my opinion. The food was fine - nothing amazing, but we didn't hate it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.002513228; Sentiment_Subjectivity (from 0 to 1): 0.465939153 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: XLB's, ftw!!! I love soup dumplings; they're absolutely delicious & filling. Although I'm originally from LA (tons of great Chinese restaurants), the first time I had xiao long bao was when I moved out to NYC at Shanghai Cafe. Shanghai Cafe's XLB's are okay, but I actually prefer the broth of Joe's XLB's much much much more. There's something about the richness of the broth at Joe's Shanghai that I was very impressed with.. it didn't taste watered-down like the ones at Shanghai Cafe, to explain it in the most simple terms, I guess. I've had XLB's three times at Shanghai Cafe, and all three times, I thought the broth there was a bit watered down/tasteless. Joe's Shanghai staff is much nicer and they don't push you to eat fast, pay the bill, and leave quickly, ha. My friend & I shared a table with complete strangers, but that's nothing new at Chinese restaurants. We sat by the wall that had Jeremy Lin's photo with a waiter, so that was cool. The prices are decent, the staff is nice, and most importantly, I really enjoyed my XLB's.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.352556818; Sentiment_Subjectivity (from 0 to 1): 0.519237013 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 24-48 hours later, I'm still thinking about this meal. *Love* it. I'd go back in a heartbeat. In short, the food was outstanding. 4 meat-heavy dishes (plus bread & butter, which we requested) were shared between the 2 of us: 1) Sea urchin with bacon on focaccia. 4 delicious (yet small) bites. Total flavor explosion. I don't recommend sharing. 2) Agave Glazed Chicken Wings. How do you elevate the chicken wing? Like this. Loved the blue cheese emulsion. 3) Braised Short Rib of Beef. Does it get any better than this? (Answer: NO.) The short rib was so tender. Paired well with taglierini pasta (and somehow Not a textural disaster)! Portions were very generous. 4) Roasted Pork Belly Confit. They had me at pork belly. Yes, the menu is a bit visually overwhelming. 40+ plates described on 40+ single-spaced lines. Take your time, and ask the knowledgeable and friendly wait staff for recommendations. Great atmosphere. Loft-like space. 2 levels of seating. Dim lighting. And a nice date place (but gets noisy during peak hours). FYI: Only cash and American Express accepted.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188043478; Sentiment_Subjectivity (from 0 to 1): 0.559782609 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First we were told the wait would be 30 minutes, but it turned out to be more than an hour. Then a waiter didn't even come over to take our order for 10 minutes. When the food did  come, they forgot to bring an order of bibimbop (we waited 45 minutes for it and eventually just cancelled it!). And they had to be reminded twice to bring us the hot sake we ordered. This place should be shut down for their ineptness and their mediocre food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.093888889; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 twice and the food was solid. Price were ok but the food was delicioso!!!!!! Wish  could go there often. Weird deals for wine though BYOB they charge per person and they give you a mug to drink wine, really???; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.175; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: artichoke dip = amazing. i could make a meal of it. i love the comfy, homey feeling of this place, the eclectic decor and all the nooks and crannies in the layout. service was great. we arrived fairly early (maybe 7?) on a sunday for dinner and were seated immediately, although i hear the no reservation policy wreaks havoc more often than not. would love to try it for brunch.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great for dinner. But don't come for Sunday brunch unless you're a VIP, or they will ignore you the whole time. Their pancakes are good, but not worth the attitude (and price).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great when a pizza place has great appetizers, a good wine list  (shared 2 bottles of Riestling) and lastly can accommodate a large group of people . Luzzo's fits that bill. Our group of 10 were comfortably seated in the back on a weeknight. Enjoyed their fried calamari and Rucola salad with simple ingredient arugula, apples and shaved Parmesan cheese. The Tartufata pizza  with the truffle oil is really awesome. The crust could be lighter and slimmer but I enjoyed it nonetheless.The other favorite at the table was the Salsiccia with sausage. Good service. Cash only; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.399285714; Sentiment_Subjectivity (from 0 to 1): 0.608492063 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 comfortable little restaurant. The hostess was very considerate and helpful. I didn't really get to taste the food yet because my friend and I ordered soups and a bottle of Malbec. I'd definitely go back whenever I'm in the mood for a low key lunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.104642857; Sentiment_Subjectivity (from 0 to 1): 0.471428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came to New York for a conference and ended up stumbling across this restaurant. Great food, great ambiance. For someone out of town it really made me feel like I was at home. Great job Graffiti.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.547272727; Sentiment_Subjectivity (from 0 to 1): 0.580909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review actually spans two trips here.  The first time I came just to check out what all the fuss was about for this "Viet sandwich place."  It's just a sandwich place right?  I had the Classic (ham, cheese, pate) my first time here, and I was kind of disappointed with the cold cut, the dryness, and lack of flavor.  In retrospect, I ordered like a noob.  Don't do the "classic" approach and don't skimp.  Next time I came here, I ordered the more well-known Pork Belly and added a medium egg.  The hot, melt-in-your-mouth, fatty flavor balanced perfectly with the pickled carrots.  Joju had redeemed itself.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.13707483; Sentiment_Subjectivity (from 0 to 1): 0.50255102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place for a drink and also the food is decent. The location is a bit odd, but it actually adds to the appeal to be walking down such an ugly strip of Broadway and then walk into this place, that's really pretty/cool for a drink. I recommend; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.006944444; Sentiment_Subjectivity (from 0 to 1): 0.500694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Favorite restaurant in NYC that requires a reservation. Luckily, we've been going enough that we can generally get in when we want to, but it is worth the effort. The food is always reliably delicious, not the most diverse menu but they execute to perfection. The bone marrow is a must have. Gold label burger is as good as advertised. The service is second to none - not pretentious as you might expect for a restaurant that is always packed and reservations are tough. The atmosphere probably the reason we go back. Not because it is a celebrity spot at all. It has an old school feel and it is crowded but in a good way.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.281746032; Sentiment_Subjectivity (from 0 to 1): 0.526190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How did I not write a review about this place immediately upon my return home?!?! Sadly, I somehow did not give them the 5 stars that were well deserved when Jim G. and I went in Fall of 2011. I am very remiss in my duties.  Better late than never! Our trip to NYC really needs to be renamed "Michelin Star Tours."  We enjoyed three 3-star Michelin dinners and one 1-star Michelin lunch (and really, Bouley needs to be bumped up!).  La Sirene, we thought, was a break from the rich, belly-busting, flavor-overload meals.  While La Sirene certainly was a break in the amount our credit card was being abused, La Sirene delivered on flavor and enjoyment!! Get a reservation now!! Seriously, go make your reservation and then come back to read the rest of the review. When we went to this place, it was cash only and BYOB.  While cash-only can be problematic, BYOB totally makes up for it! =)  (Perhaps it's just the lush in me, but seriously!)  Even though I am fully into the low-carb eating, I would 100% order the Goat Cheese Tart right now; weight be damned! It's amazingly good. And, while it's totally for sharing in brisk weather, order the Cassoulet.  Between that and the Goat Cheese Tart, be sure to bring a nice Bordeaux or Meritage to stand up to these dishes. I will visit this place again when I'm back in NYC. Did you get a reservation yet???; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.167286425; Sentiment_Subjectivity (from 0 to 1): 0.58997114 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fresh, simple, well prepared deli-style paleo food. They have a juice bar and coffee bar, as well as a selection of paleo baked goods (their muffins looked fluffy and amazing, and their grain-free brownies and 4-ingredient chocolate bars are indulgent in the best way.) The dining areas are comfortable and the place is just over-all awesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.442857143; Sentiment_Subjectivity (from 0 to 1): 0.608163265 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spent a lot of time in the West Village when I was growing up, and I love wandering around the neighborhood to work up an appetite when I visit. Checked out Little Owl for an early weeknight dinner a few weeks ago. Not much to add -- I think the meatball sliders were, indeed, all that. My companion and I split the whole fish w/ braised escarole. Delicious, but I love escarole. Glass of rose was an excellent complement. We also had the spiced fries. I was thinking the whole time how great they'd be next to a burger. Next visit, for sure!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.30859375; Sentiment_Subjectivity (from 0 to 1): 0.486805556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Uh...WOW. this place by far serves up one of the best classic cuban sandwiches I have ever tasted. the meat was thick and tender. the bread was perfectly toasted with cheese oozing out after every bite. several ppl told me to come here and i'm so glad i did. i love little hole in the wall joints. they tend to be cheap, good and very satisfying.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.377430556; Sentiment_Subjectivity (from 0 to 1): 0.611805556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 2 1/2. This is a tourist spot in my opinion. Good special or prefixe. I wish I could give it a higher rating with how nice the people are here, but it's truly nothing standout.; Max_Daily_Reviews: 23; Sentiment_Polarity (from -1 to 1): 0.476785714; Sentiment_Subjectivity (from 0 to 1): 0.667857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here a few months ago with my love and it was amazing.  My co-worker suggested it and the reviews were right. The window is covered with Zagat stickers of all the years they have been featured.  We went on a week night pretty early so we had a short wait, but I've heard it gets crazy here.  You can tell it is a family operation and very authentic.  We couldn't decide so we ordered a bunch of appetizers and over-ordered that we had leftovers for two more days.  Our picks were the dips, grilled octopus, stuffed grape leaves, stuffed clams with crab meat, fried cheese and greek salad with feta.  We loved every dish except the clams were just ok, which was a let down because I love crab meat-I would skip it next time.  I loved the complimentary dessert. Yum yum yum!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.261397707; Sentiment_Subjectivity (from 0 to 1): 0.533311287 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm gonna make this short and sweet, just like our visit: Grimaldi's is not worth the hour long wait that sometimes piles up. It wasn't as spectacular as I had hoped based on the hype it receives. And it was cramped, we felt rushed, and it was cash only (meaning an ATM stop mid-meal was in order). But the pizza is excellent, the menu is plentiful, and they definitely know what they are doing. While I haven't found better pizza in New York than here, I'm still looking.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.238636364; Sentiment_Subjectivity (from 0 to 1): 0.580454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My boyfriend and I were craving a rice dish for lunch so we decided to go to Great NY Noodle Town for the roast pork over rice and the baby pig over rice.  After a few bites of each dish, we were very disappointed and ended up tossing both into the trash.  It's actually the first time I've done that! The meat of the baby pig was not juicy, the skin was not crispy, and sauce was too salty.  The roast pork was slightly better than the baby pig, but bland at best.  The two dishes were definitely below average, and I will not be visiting this place again.  My boyfriend grabbed a Subway sandwich instead, and I ended up eating leftovers in the fridge.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.112083333; Sentiment_Subjectivity (from 0 to 1): 0.479166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 big huge seafood pot here is really good and fun to eat.  I bring friends here that come in from out of town and they all love it. The live octopus is something everyone has to try because of the novelty.  They literally take it out of a tank and cut it up and put it on a plate.  The tentacles are all still moving around when you eat it.  Food and alcohol are all reasonably priced.   I would recommend this place as a fun place to go with friends.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.317045455; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Exceptional brunch.  Extremely warm and comfortable atmosphere.  The olive oil muffin was the stand-out in what can only be described as an outstanding pastry basket.  Would love to be fortunate enough to score dinner reservations the next time I visit Manhattan.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.340740741; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is teeeny.  My friend had warned me that this was a small restaurant and I wasn't expecting it to be THAT small. Graffiti is about the size of some other restaurant's lobby area.   With that said, they make the most out of the space and it's really a cute, cozy space.  Most tables need to be shared.  Our party of 4 had to share a table with a couple who obviously were on a 2nd or 3rd date, which made it kinda awkward (probably more for them than us).   Food is excellent.  We ordered an array from the menu and was really pleased that the kitchen can accommodate and prepare half a dish with meat and the other half vegetarian.  Each dish was really balanced with various spices and textures.  Loved the hummus pizza, pork and eggplant buns, and we had a yummy hazelnut chocolate dessert as well. P.S.  you need to check out the bathroom at Graffitti.  It's the teeniest bathroom I've ever been in.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.125833333; 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: BEWARE- they try to scam large groups by adding 2 tips in the check and hoping people won't notice.   They included an 18%  tip in the "subtotal" without telling us the tip was included, and then printed out another 20% tip for us to sign, hoping we were too wined up to realize there were 2 tips on the check.   When someone in our group of 6 called them out  on it , the waitress had to get someone else to explain.. A guy came over said the double tipping was that it was a "software problem" they'd been trying to fix it for a "while" ...Gimme a break!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.107142857; Sentiment_Subjectivity (from 0 to 1): 0.214285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is really authentic. The people are very friendly as well. The space is clean and classy looking with marble tables and bookshelves filled with decorative volumes of bargain basement books. I ordered one of the pintxos and an omelette. Both were very tasty. I washed it down with a bottle of Moritz, which was perfectly refreshing for a hot summer day. Unfortunate that this place is only open during the day. I would love to come here in the evenings and have a drink and some bites with a friend. If you're looking for something from Spain that is hard to find, chances are that they carry it here. They also opened a wine shop next door that sells Spanish wines. I bought a bottle on advice of the shopkeeper. It was one of the most drinkable Riojas I've ever had. This is a one of a kind place and a one stop shop for all things related to Spanish food and drink.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.172847222; Sentiment_Subjectivity (from 0 to 1): 0.589027778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 never been to a place that treated their guests with such contempt. Seriously, you would never see this behavior in real Chinatown in Flushing. The sesame pancakes were good (one star just for that) but everything else just tasted like fried bleh. Definitely not worth the crowded venue and mental abuse. I don't understand why this place is so famous either, are real dumpling houses nonexistent in Manhattan?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.127083333; Sentiment_Subjectivity (from 0 to 1): 0.458333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here during the week with a friend for dinner after work one night. It's on a block that literally has two other Thai restaurants right next to it, but I have no need or desire to even try them. This place was amazing. We were immediately seated and I might note that we were the only white people there. The rest of the diners were Thai. Now, I know this sounds like a strange comment - but I judge Thai restaurants by the percentage of white people there. If there are minimal, you know the food is authentic. Strange, I'm aware, but go with it. It has yet to fail me. Such a kind and doting wait staff, we did not wait long for our food. I got noodles and my friend got a fried pork special which we both shared, as well as their chicken wings with sweet chili sauce. We inhaled EVERYTHING. Perfect portions that we probably could have saved half for lunch the next day but that was only a thought AFTER we cleared all the plates. Great depth in flavor and our only regret was that we didn't order more plates. Oh, and it's really inexpensive. I'll definitely be coming back with more people.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143373016; Sentiment_Subjectivity (from 0 to 1): 0.486626984 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend loved her crawfish mac n cheese and her crabcakes, but I wasn't wowed by my grilled shrimp po boy and sweet potato fries. The portions were generous. The decor is adorable. The servers are friendly and helpful. Drinks were tasty. Overall, my experience might entice me to head back to try another dish, but not too soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320833333; Sentiment_Subjectivity (from 0 to 1): 0.491666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crepe Ive had in NYC. I had the harajuku fruit cocktail. Light and not stingy with the filling ingredients like some othe crepe places. Easy to eat and ingredients are well distributed till the bottom. However it takes a while to make one. I went by at lunch time around 1 pm. A girl in front of me ordered 4 to go. It took almost 15-20 mins of wait which was a bit frustrating.. my lunch break was ending !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 don't venture out to Astoria much but this was so worth the trip.  My friend suggested it since she is half Greek and complains about how awful most of the Greek food is In NY.  This is the only place her and her parents have ever raved about and they have been to many Greek spots in NY.  The ambiance was trendy but cozy, the bar was great and the bartender was so friendly and gave us great wine suggestions.   We were a group of six and seating upstairs at a ROUND table (round tables are so much better for a group than square).  Our server was wonderful and outgoing and kept our glasses filled with wine and water all night.  But the FOOD.  My god the food.  There were lots of unavailable items on the menu which was disappointing but everything we ordered was delicious and sizeable and shareable portions.  The 3 dips with pita was amazing, the Greek sausage was so flavorful, the Cypriot lamb sausage paled in comparison but was still good, amazing meatballs.  Lots of meat to start but I loved it.  I had the Greek paella which had so many mussels and clams and huge shrimp. It was tasty but my friend's stuffed spinach and dill cod was incredible, my other friends swordfish was cooked perfectly and simply, I loved the super tender lamb shank that my other friend ordered and the hanger steak was really good with crispy fried potato slices.  We drank Malbec all night and had an incredible meal that was also shockingly affordable.  I will be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.284791667; Sentiment_Subjectivity (from 0 to 1): 0.580833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A brunch visit before heading to the Natural History Museum with a friend has me convinced that this place has the best biscuits and pickles you can get in NYC. We started with a basket of fried pickles. My only, slight, complaint is that they were fried pickle spears. I prefer pickle chips instead - but these were delicious with a light fried batter that actually stayed on the pickle with a chipotle dipping sauce. Delicious! For our entrees, my friend got the fried chicken caesar salad. Seriously, the biggest salad I've ever seen in my life. She said it was delicious. For mine, I ordered the special: BBQ pulled pork over a fresh biscuit with a side of cheese grits. Let me just say, DANG. I lived in North Carolina growing up and this definitely hit all requirements of southern food. The grits were excellent. The portions were huge and I ended up taking a good bit of mine home (minus the grits, I ate those up...). It re-heated well in the oven with an over easy egg on top the next morning. yum! Seriously, this place will not disappoint. Ill be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225274725; Sentiment_Subjectivity (from 0 to 1): 0.563644689 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Good Fork is FANTASTIC. I probably ordered way more than was good for me. I was utterly famished by the time I made it over there, after I got off work around 9:45pm. The place was still full, so props to them. I hate walking into good restaurants that are empty just because it's late, and the obscurity of the Good Fork shows it doesn't have to be the case. I love the atmosphere, full of locals I recognize, très Brooklyn. I love that they try to incorporate Added Value (Red Hook Community Farm) produce into their menu when they can. For starters, I had the pork and chive dumplings. They were good - thin, chewy skins, well-seasoned filling and rich dark dipping sauce, but I think reading the other Yelp reviewers hyped them up a little too much to me. Nonetheless, good. I tasted my companion's fish and chips, and I loved the spicy jicama salad on the side. The spicy dressing mixed with the tartar sauce on the plate and it was VERY YUMMY. For mains, I got the Steak and Eggs, Korean-Style. I really liked it! The kimchee rice was good, and the steak was cooked as ordered. I LOVE runny egg on things, so that probably put it over the edge for me. The linguine I tasted was good as well. I liked the full-starchy crispness of the shrimp-scallion pancakes, as well. Dessert was chocolate bread pudding - surprisingly light and not too rich and good for summer. Warning: There are golden raisins in it, so if you don't like raisins in stuff, I'd choose another option. There was also some yummy chamomile grappa to be had. My only small complaint would be that some of the food took a little waiting to come out. It was delicious, and I wasn't in a rush, so it was no matter for me. The servers were polite and attentive. All this food cost me $90, including tip. C'est bon!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.292682927; Sentiment_Subjectivity (from 0 to 1): 0.601829268 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: O.M.G. That's really all I can say about this place. I went on a first date here once and it was incredible. We started with the Scallion and Avocado on Buttered Cheese Toast and, as the name suggests, it's INCREDIBLY rich. But also sooooo so good. For dinner, I had the spicy chicken panini and my date had the meatloaf panini. We took half of each other's and both were slammin'. The spicy chicken panini uses the spicy chili sauce often found at sushi places and the meatloaf panini features some really deliciously sweet onions. We also had some wine, which was delicious, but to be honest I'm not much of a connoisseur so I can't tell you what kind we ordered. For dessert, we got the red velvet cupcake, which comes from a local bakery (Gian & Piero, I believe) and is probably one of the best I've ever had. They're also HUGE, so be warned when you order one! Overall... I really don't think they've ever really disappointed me, except for when I called for delivery once and they kept me on hold for so long that I eventually hung up.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19469697; Sentiment_Subjectivity (from 0 to 1): 0.519318182 [/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: Nice Bahn mi spot in the village..not the usual suspects. It's worth a try.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.216666667; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really wanted to like this place and was excited to try it because of the reviews..but was pretty disappointed after my meal. The restaurant itself is pretty cute. Very small, but both the indoor and outdoor area provide a nice ambiance (although outdoor caused more than a couple mosquito bites..eughh) However, most of the food was bland and not authentic at all. I'm all for fusion and inspired dishes, but most of them fell very flat. We ordered: - deviled eggs (4/5) - good spices/flavor - coconut kale (2/5) - a bit salty, a little bland - beef rendang (2/5) - fish curry (3/5) - donuts (1/5) - especially disappointing since it was their special/highly recommended by the waitress. i'm not a picky donut connoisseur, but this was just so dry and tasteless - chocolate tart Our waitress was extremely helpful and really sweet, so at least service was good. I wouldn't return though unless they made a drastic change in their chef or menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.060625; Sentiment_Subjectivity (from 0 to 1): 0.689548611 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was my go to pizza joint back in my Financial District heyday. Their past isn't too bad either, cheese filled shell was very tasty. But the reason I kept coming back was the Nutellatini, a delicious nutella flavored cocktail that goes down sweet. :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.122222222; Sentiment_Subjectivity (from 0 to 1): 0.45959596 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, laidback place to grab a beer and some grub. Don't let the fact that it's a bar fool you--the food here is a must! I've had the burger, pork sandwich and grilled cheese and everything's been super fresh and totally beyond what I expected (even the pickles on the burger are crazy good). And they come with a mountain of fries which are totally TO DIE FOR! On top of that, there's a great selection of brews (which changes a lot so don't get too tied to a fav.) to wash it all down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252525253; Sentiment_Subjectivity (from 0 to 1): 0.623232323 [/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'm not sure about you, but I always take Yelp reviews with a grain of salt. When I read the reviews of Dover while selecting it for my birthday dinner, I thought "well, atmosphere isn't a huge deal for great food and great food is pricey". Basically, I was still excited to go. That said, this is a case where many of the Yelp reviews detailed the experience to a tee. I was amazed at how accurate they were. A few callouts from my visit: -Atmosphere: There's not a ton to look at. My guess is it's supposed to be "bistro-esque", but it seems like they set up some tables and decided to open a restaurant. If everything else was great, this wouldn't deter me, but... -Service: The servers were all very, very friendly. Even when they didn't deliver the right dishes to the right people. With any course. Or the right drinks. With any refill. Or when they forgot one of our parties drinks so they had to reorder. Which again, wouldn't be a huge deal except... -Food: The food was okay. One person in my party thought it was great. The rest (including me), thought it was okay/good. I had an Heirloom Tomato salad (very fresh) and Ravioli (light and summery) for dinner. Both of which were okay - nothing special, but good enough. And good enough wouldn't be a problem if it weren't for the.... -Prices: Being the birthday girl, I have no idea how much the bill was, but judging from the prices on the menu ($30/person for an entree), I'd like the staff to remember who ordered what, the atmosphere to be inviting and the food to be great. Dover was none of these things. There are a lot of really great restaurants in my hood right now: French Louie, La Vara, Brucie, Bergen Hill and Colonie- all of which I happily visit over and over. I won't be going back to Dover. Side note: Two people in my party ordered the pork with peaches and both woke up at 3 am sick. I didn't want to make that the highlight of the review - however it's something to be noted, especially as the staff at Dover didn't do anything by way of apology. It took my friend three phone calls and an email threatening to go to the  health department to speak with a manager.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.351091837; Sentiment_Subjectivity (from 0 to 1): 0.611247166 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is sublime (homemade mozzarella is to die for), service impeccable, and wine list & cocktail menu is top-notch.  I have been to Basso 56 five times in the past 7 months and I have to say it is now my favorite restaurant in the city.  The chef's attention to detail in every single plate that I and my various dinner companions (family, friends, colleagues - probably 10 different people in all) have had is remarkable - not a single complaint with any single appetizer, main course or dessert (which is incredible given the different expectations each of these people have!)  We have tried the menu dishes and the specials and every single one nears perfection.  Alex is probably the best restaurant manager I have ever met - he remembers everyone and every detail and he is such a gentleman!  If you do not go here, shame on you!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.255182073; Sentiment_Subjectivity (from 0 to 1): 0.502380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite places in Manhattan.  Great food, good service, cheap and PBR... What else is there!  Only the best polenta in the city!  Although there is always a wait this lower east hit, it is must visit but I swear it is worth it!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.583705357; Sentiment_Subjectivity (from 0 to 1): 0.635714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It is one of my favorite spots to meet up with friends after work and grab a moderately priced dinner and some drinks. The food is good and the service is full of nice and fast workers. Only complaint would be how packed it gets in regards to it's small space.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.672222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sushi take (chef selection of sushi) is delicious but the sushi are among the smallest I've had the chance to eat. Very good place if you want to impress your date in a Japanese way. I like Sakagura better (traditional cooked Japanese cuisine across the street).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.401666667; Sentiment_Subjectivity (from 0 to 1): 0.505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you are a meatball addict like myself and seek counseling every day, then you should not eat here, because my god is this place good.  I would do terrible terrible things for their meatballs.  This restaurant has been known for converting vegetarians over to the dark side.  It is usually always crowded but worth the wait.  I had a dream the other night where my friend was made from the meatballs here and I ate him.  I regret nothing...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.217857143; Sentiment_Subjectivity (from 0 to 1): 0.532142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chicken platter is my favorite! Much healthier than street food, and more delicious! It's next to my school and before my friend took me here I never walked into this place cuz I only liked Asian food. Now I come here every week at least twice, and willing to try their other dishes. But shwarma chicken is always my favorite!!!!!! The combination of salad, yellow rice, chicken and hummus is perfect.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.173529412; Sentiment_Subjectivity (from 0 to 1): 0.639705882 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A huge disappointment! All of the food is PRE-MADE. When you walk up to the window, you can just see all the food already made sitting there. They just heat it up and hand it to you. They also don't understand that its 30 degrees out, so when I explain to them that I'm taking it away, they should probably WRAP the food. Even when I asked them to wrap it instead of just handing me an open sandwich, they give me a drink carrier. What the hell is that supposed to do? Food was okay, but the egg sandwich (from the gothamist) was extremely and unncessarily spicy. I don't know if it was just mine or if they're meant to be like that, but it was almost impossible to enjoy. I won't be going there again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.03452381; Sentiment_Subjectivity (from 0 to 1): 0.685714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fried food and tasty sauces.  What more can you ask for to cap off a long night? Okay, if the fries came with a slice of pizza that might make it a bit better. As is common with late night type stands, you may very well run into a pretty long wait.  The snack is worth the wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.155; Sentiment_Subjectivity (from 0 to 1): 0.48 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best way I can describe this place is that the food does not match the décor or location.  It is located all the way at what seems to be the end of the island and the décor was a blend of a tacky Applebee's and a grandmothers house.  The food however was great.  I absolutely love southern food to begin with but I was beyond pleased with the quality of the food.  The portions are also huge.  By far the most memorable thing I had there was the Hurricane Nachos.  It truly was a perfect storm of chips and meats.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.53; Sentiment_Subjectivity (from 0 to 1): 0.705 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Over-priced, food was couldve been more tasty (we had the pasta). Prefer Babbo or Lupa for pasta. Perhaps the meat dishes were better.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love that Palo Santo Restaurant!!! I hosted a Bridal Shower Brunch for 30 the guest 2 months later were still talking about how they had an awesome time at the Bridal Shower.  Let me 1st say I could not have had a successful Bridal Shower Brunch without Gonzalo's assistance; he is very professional and also helped in the direction and planning for the day of the Bridal Shower. The Private Event Room held an ambiance that made the guest feel comfortable and relaxed as if they were in a home setting. Everyone loved the food which was fresh and divine, it was an open bar the drinks were served as my guest entered the brunch and the servers keep the drinks coming to my guest the entire duration of the event....there were a variety deserts which were heaven. The servers and Gonzalo were very accommodating in every way I can think of they were a happy and energetic staff they made me feel very comfortable and welcomed. I would definitely recommend the Palo Santo Restaurant for any event. I must go back for the Slow Pork Thank you Palo Santo; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33203125; Sentiment_Subjectivity (from 0 to 1): 0.554444444 [/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: Yup....its true....6 bucks and in heaven. Probably the most popular food cart in NYC (3 food carts actually-  one on the south west, south east corners and west side between 53rd and 52nd.) If you're hungry, this is quality delicious chicken/lamb and rice. A strangely satisfying and savory white sauce with a kickin hot sauce. You can just park it on the steps and chow down. It is a good portion, best shared for two. Just line up at the cart (there is always a line) and place your order. They pack it up and you go. Sometimes in life, the simple things are best.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.449537037; Sentiment_Subjectivity (from 0 to 1): 0.516335979 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pancakes! Pancakes! Pancakes! There's a reason why this place consistenly makes top 10 pancake lists. I'm as much of a pancake snob as I am a pizza snob. All these complaints seem to be from people that haven't had the pancakes or the breakfast. Going here for something other than pancakes is like going to a fantastic burger joint and ordering a hot dog. You've only yourself to blame. I've seen people from the likes of Jon Stewart to Harvey Keitel enjoying the amazing breakfast that this restaurant offers. The pancakes are a bit on the pricey side but well worth it. You know a place cares about their pancakes when they give you a jug of real maple syrup. You know a place doesn't care enough when they give you a jug of the fake stuff. Finally, you know a place is hoping you don't even order the pancakes when they give you those little syrup packets. Thankfully, Bubby's is a place that cares. Every time I come here I order the sour cream pancakes and they never let me down. I might have trouble getting up after eating them because they can be pretty heavy. They aren't as light and fluffy as Clinton St. Baking Company but they are just as tasty. I would say that these are more like "Man"cakes. They have a sweetness that can satisfy the delicate types and a heartiness that can make even a fat guy split it with you. Of course they have other things here, specializing in "comfort" food. Their lunch and dinner are ok but of course the breakfast is where it's at. Don't get me wrong. I like meatloaf just as much as the next guy. I just can't remember the last time I jumped for joy after eating it at a restaurant. Mac n cheese as an entree just makes me want to laugh and think of my old college days. With such and fantastic breakfast, I just wish they would have omelettes on the menu instead of just the special "omelette of the day." I'm also a big fan of a place that has cheese grits. No shame in admitting it. You don't need to own a mobile home to enjoy these. If you come on a weekend morning you'd better arrive shortly after it opens or be prepared to wait. It's a pretty popular go-to place for friends and families. The drinks at the bar are pretty unique. After drinks, be sure to have your picture taken at the vintage photo booth downstairs. Just keep it semi-clean. It's family place, after all.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.167154072; Sentiment_Subjectivity (from 0 to 1): 0.543823326 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 twice, place is clean and service tight, food a level above average, but it's NOT like all this five star hype but what do I know.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.00952381; Sentiment_Subjectivity (from 0 to 1): 0.371428571 [/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: Super good! As a vegetarian/vegan, definitely nice if I feel like sliding away from salads and stuff for a night!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.652777778; Sentiment_Subjectivity (from 0 to 1): 0.755555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 come here many times and it's always been good.  As other reviewers have noted, it's not a large place and the tables are packed together closely to maximize space.  And it can get LOUD on Friday and Saturday nights.  The hostess also won't seat you until your entire party arrives.  But you never have to wait long - they get you in and out fast, so you'll never have to wait long for either the waiter or your meal.  In fact I am always surprised how quickly the food arrives. What's good?  Almost everything, and I have no particular favorites.  It's not haute cuisine, but it is a Trattoria in the true sense of the word, like those I've been to in Italy where you want good honest food, ok-but-not-fancy surroundings, and a warm and friendly vibe.  It's almost a little out of place in a "chic" neighborhood like this. Not cheap but not expensive either.  They seem to have found the right price points on their extensive menu.  Servings are generous, too.  Enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.228794643; Sentiment_Subjectivity (from 0 to 1): 0.565873016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute busy tea room. We got a desert platter to try several of the favorites. They have a moderately large tea selection and each tea is served based on the type. For instance my darjeeling came in a reeling large tea pot but the Green teas were served one glass at a time with refills. We had 4 people and had to wait but we're seated in a semi private home made tea room.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.118367347; Sentiment_Subjectivity (from 0 to 1): 0.404591837 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reached the Singaporean mother ship! Okay, it's not exactly Singaporean food, it's Malaysian but it's close enough. Judging from the long long line, it was probably close enough for many people. The roti canal with egg was crispy and flavorful. The sambal kang kong spicy. The hainanese chicken fragrant and silky. It was one satisfying trip down memory lane.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.051944444; Sentiment_Subjectivity (from 0 to 1): 0.528888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 don't typically find myself in the UES, but when a friend and I needed a place to grab dinner after a foray into the Met, Uva was a convenient ten minute walk away. A neighborhood staple since its opening eight years ago, this restaurant is well known for the strength of its Italian plates and had come highly recommended from a coworker. After making an early Sunday dinner reservation via OpenTable, we were set for the evening. The interior of Uva is pleasantly cozy and rustic, reminiscent of a traditional Italian villa. When we were given the option of sitting inside or in the patio in the back, we opted for the latter to take advantage of the remaining good weather. (As luck would have it, it started drizzling a few minutes into our meal, but the staff were quick to draw over the roof, saving both our clothes and our dishes.) Uva's menu is set up as any typical Italian restaurant, with a myriad of Antipasti, Pasta, Primi, and Secondi options. We started off the meal by sharing an order of the much-lauded Gnocchi di Ricotta. I'd always had a somewhat poor opinion of gnocchi, but only because the prior versions I've tried were nothing like Uva's. The gnocchi was well executed; not heavy, but surprisingly light and pillowy, and covered in one of most delicious sauces I have yet to try. There's a hint of truffle oil that, thankfully, isn't too overpowering, and the additional element of chive added a nice aromatic edge to the flavor. Needless to say, this pasta disappeared from our plates pretty quickly. For my entree, I had decided to go with Coste di Manzo Brasate, a dish consisting of braised short ribs served over a potato cake. For the most part, I was pretty happy with the short ribs as they were extremely tender and well-portioned, but the accompanying sauce was a little too thick for my liking. While the overall flavor was one-dimensional, it was nonetheless well-seasoned. As for the Potato Cake, it was a thoughtful addition to balance out the protein and I appreciated the hints of rosemary present throughout. Uva is an adorable place, suitable for dates as well as dinners with friends and family. Over time, it's become a neighborhood staple and with good reason: tasty and reasonably-priced food, a comfortable setting, and helpful staff are more than enough reasons to make a visit here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.156240741; Sentiment_Subjectivity (from 0 to 1): 0.503666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, the food here is mind-blowing. I had the duck confit and this is a must have for anyone. I had many versions of the dish in various restaurants and this is definitely the best I've had. The gravy had the right amount of flavor (not overdone) and the texture of the duck thigh was impeccable. It was crunchy on the outside and so tender and moist in the inside. (my mouth is watering thinking about the dish) My friends had the pork belly, Trout and Nicoise salad but I think my duck confit was the best. It is a tad pricey but you definitely get what you pay for as e service was excellent too. Our server, Michel was very attentive and polite. All in all, a definitely must try but remember to call a month ahead to get a place. It is very difficulty to reserve a table and walk-ins are def not recommended.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.38255102; Sentiment_Subjectivity (from 0 to 1): 0.55255102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 eat here every day of my life if I could.  I've had their 4-cheese pepperoni pie and their arugula pie.  Both were incredible.  I enjoyed their Meditazione drink, as well.  I will be back many, many times - so glad this is right down the road from my apartment!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.37390873; Sentiment_Subjectivity (from 0 to 1): 0.553075397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lombardi's is great pizza.  Love the clam pie....even though I'm not a clam fan....its full of garlic deliciousness.....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; 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: This place is amazing. Their food is delicious and their sangria (red) is SO GOOD. You can pretty much make any kind of arepa you want, just tell them! Service was also nice and we had a great time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.544444444; Sentiment_Subjectivity (from 0 to 1): 0.705555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 awesome!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; 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: Came here with a group and waited for well over an hour to be seated.  When we finally arrived at our table, we hadn't even taken off our coats before the waiter appeared and asked "How many dumplings do you want?".  We told him we hadn't even sat down yet and needed a minute.  30 seconds later he re-appears and asks the same question.  Again, we told him we needed a minute.  This time he gave us a full 3 minutes to decide what we wanted.  We ordered and the food arrived extremely quickly, which was great, but it took 5 tries and talking to 3 different waiters to get a glass of water. As others have mentioned, the soup dumplings are awesome.  So are the scallion pancakes, soups and lo mein.  However, the employees are only focused on turning over tables and not customer service.  Amazingly delicious Chinese food, but don't expect a particularly pleasant dining experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.297407407; Sentiment_Subjectivity (from 0 to 1): 0.578703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: got a bara chirashi don set from their Thursday daily special (50 sets) with cold soba for $11.50 (w/o tip/tax). It's pretty good, but a bit pricey esp. since they didn't put a lot of sashimi but they did have a lot of rice under the thin layer of fish/eel thing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.051190476; Sentiment_Subjectivity (from 0 to 1): 0.670238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visited this Shack which opened not very long ago to escape the insane touristy folks in midtown onto to encounter yet another mass of other tourists in the WTC area.  Gosh... they're everywhere!  As always, this location is busy packed, but fortunately not as busy... but that's not saying much.  You should've seen it when they first opened.  Their lines snaked out the door... way out.  Fear not though... the lines move fast either which way.  Fortunately, this place makes the burgers and fries as tasty as the original.  I finished my shroomburger in a minute.  Oh so juicy!  If I happen to be in the area again, this is the first place I'll go.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.061975524; Sentiment_Subjectivity (from 0 to 1): 0.472668998 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with a party of 6. The staff was very friendly and welcoming. Nice drink list. Had the house fried chicken - delicious and large portion. Plus complimentary cookie :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.357397959; Sentiment_Subjectivity (from 0 to 1): 0.789795918 [/INST] Not Spam</s>