Datasets:

syannn

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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: Every time we go Someone ends up blacking out. Kind of a problem.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We were welcomed with a loud and drunken atmosphere. I love it. The hirata (pork) buns were SO delicious. Very simple and very good. We each ordered  Akumaru modern ramen on a rainy night. Ramen is always good when the weather is cold a gloomy. I loved the broth. And of course, the noodles. A perfect combo with plenty of ingredients.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.451; Sentiment_Subjectivity (from 0 to 1): 0.734428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Respect for food is a respect for life, For who we are and what we do. Thomas Keller I first saw Traif on Yelp. 21 of my Yelp friends went and all gave it 4-5 stars. There were too many reviews to read. But what convinced me were the pictures! It was the picture of the spare ribs with strawberries that convinced me! (I do not understand why a logo of  a pig would make anyone want to go here!) The pictures of the food are amazing! After seeing the pictures I  did not need to read anything I was there! The menu was innovative. My husband and I share most meals so the sharing theme was just right for us. The menu is seasonal so the ribs were not strawberry but they were Pomegranate. But it was still delicious! I do not eat large portions of meat any more. The portions were not too big or too small and at first I did not know how much I could eat but they were melt in your mouth like cotton candy! We also  had the pink fig salad and lamb Shawarma. We had the bacon donuts for dessert. I liked it so much I would even take out of town friends here! My criteria for 5 stars  is it is the best of it's kind. I do not know if it is but the food and decor were so nice. The server and owner were very congenial. The bathroom was clean and there were pictures of the staff in the bathroom as children. They said they want to make it like a family atmosphere. I would love to go back for each season! We went midweek and it was not too crowded. I like going out week nights especially to popular places like this, the wait usually is not as long and you don't feel rushed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.418229167; Sentiment_Subjectivity (from 0 to 1): 0.529238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love love. A simple roti wrapped in a whole lot of goodness. unda aloo roll is by far my favorite roll here. The shami kabab roll is pretty good too. I can easily eat 2 of these yummy rolls when Im not even hungry. That should tell you something. :D We have visitors from out of town tell us that they definitely need to visit this place once before they leave. A must must try.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.390277778; Sentiment_Subjectivity (from 0 to 1): 0.707539683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pizza i lived in brooklyn my whole life now im moving to staten island, but i told my wife once a week we have to have a l & b night... love the pizza and the ices are great to; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I've been dying to try this fairly new taco place for a few weeks now. Unfortunately every time I tried there was a long line, which I know would take a while after looking at how they made each taco. Thankfully I never bothered to wait on line the previous times I went by. Firstly, it's quite pricey for tacos. $ 4+ for each taco, so that's 20+ bucks for 4 tacos and a Jarritos soda. They do put a decent amount of meat on the tacos, but the steak was way too big pieces. Tasty, but too big. Chix was tasty too. If I'm going to spend 20 bucks on tacos I would want waitress service and a place to sit down comfortably. The best part was the guacamole. I think it's one of the best in NYC, and I'm quite picky. (Still isn't as good as mine, but far above many). Reason being, they use fresh avacados, not almost ripe ava's that have consistenecy of soap, and taste like it too. It was delicious. There was no spiciness to the 'hot' sauce and I even asked for xtra. Honestly, I don't even think I tasted any picante at all. All in all, the taste is better than McPotle (Chipotle, a McDonalds co.), but the price difference isn't worth it. Compared to the Snack Dragon, meat quality or taste isn't as good as SD, but tortillas are way fresher. I would definitely eat there again if I was starving, craving guacamole and tacos, was on the block and there isn't a line. And I'd definitely bring my own hot sauce to spice it up. If you like Benny's burritos (yuck) or those types of crap-ass tex-mex places, then you'll like this, as it's far better.  Tho you should  go take a Taco 101 class, perhaps in Mexico to really understand what a taco should be like. If I had waited on a long line, I would have given 1 star. If the price was cheaper, I'd give it 3. I think there is room for improvement, hopefully they will..; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263462753; Sentiment_Subjectivity (from 0 to 1): 0.519065657 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Along with all the great food and living up to the hype, here's what set them apart:  My friend and I had a great dinner and were chatting at the end of our meal.  Our plates were sitting in front of us for a while (but not a crazy amount of time) so I asked if they wouldn't mind clearing them.  When we ordered our dessert, the busboy brought out a second one (pecan pie sundae, which was AMAZING) and said that was because they didn't clear our plates quickly.  That was one classy move.  Other restaurants should really take that cue.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310833333; Sentiment_Subjectivity (from 0 to 1): 0.565833333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got the Classic and Linsanity Banh Mi (with runny egg), along with Loaded Kimchi Fries and Mango Yogurt Drink. The classic banh mi tasted pretty good, the linsanity however was a little weird for my taste but my friend enjoyed it. The loaded kimchi fries were good, I can't wait to come back to try the banh mi fries! The drink was also good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.249583333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go straight for the house made pasta, and if you're looking to indulge in the sweet world (just read A Day at el Bulli), order the tartufo. The chocolate, hazelnut, cherry and ice cream all meld so well. Our waiter was ultra hospitable and spot on with the wine suggestion. I also love the exposed brick behind the bar and the rustic -- yet somehow cute -- feel of the interior. I'm going back for the squash and sage pasta dish I spotted on the menu.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.191666667; Sentiment_Subjectivity (from 0 to 1): 0.558333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty good. These types of joints are a little overpriced, if you ask me, but it's pretty good. Prettay, prettay, pretty good. The brisket is nice, the sides are good, sometimes things are a little too salty, and sometimes the line is insane. But I'd still recommend hitting this spot up once in a while.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.252272727; Sentiment_Subjectivity (from 0 to 1): 0.763636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I think of Buttermilk, I imagine a cute country cottage, which is exactly how it feels like when you walk in.  My friends had warned me that there's always a bit of a wait for brunch here, so we decided to get here by 10am.  We thought we'd be the only ones there thinking ahead by getting there right when it opens, because seriously, who really eats brunch at 10am when alcohol isn't served until noon?!  To our surprise, there were already a couple of groups of people outside waiting.  Luckily, they promptly opened the door at 10am, and seated everyone accordingly.   We opted for an outdoor seat since it wasn't too hot out.  Unfortunately for one of the tables, since their table was against the wall of the restaurant, they were directly below the windows of the apartments upstairs.  I think someone might've poured water or something outside their window, which landed all over the table's food!  The people who were sitting there explained the situation to their server and he kindly moved their table, and I assume they also got new plates of food. I ordered the Eggs Huntington and although it looked tiny, it surprisingly filled me up.  This might also have to do with the fact that my friends and I ordered ANOTHER entree, in addition to our individual ones, to share.  This, might I add, was the best decision ever that day! We ordered the Pecan Pie French Toast.  Now I don't usually like sweets for breakfast, but this french toast was unlike any french toast I've ever had.  The inside did not taste like bread at all, but it had more of a creamy custardy cake consistency.  That consistency mixed with the bourbon molasses was the perfect mix.  I wish all french toast tasted like this!! Although I've only been here once, if there was one thing I could get again, it'd definitely be this!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.161502783; Sentiment_Subjectivity (from 0 to 1): 0.492509276 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Easily the best meal I had in my trip to Manhattan. It started off with a little trepidation - I called ahead of time for reservations but they said they were booked until an ungodly hour that day. We decided to take a chance and go at 7pm to see what was feasible. They were able to get us seated at the bar within 15 minutes! First we got some drinks. I had the Sleepy Hollow, which was beyond ethereal. Then had Trade Winds - Charlie Palmers has the same exact drink but I think L'Artusi did it a little better. After that, we went straight into our meal. I had the hangar steak, he had the hen of the woods, and we shared some brussel sprouts. We did not know what hit us. The brussel sprouts were definitely the best I've ever had. Who knew that brussel sprouts could be so damn good... And the steak dish was just so effortlessly hedonistic, especially the cream fraichey horseradish that went along with it. I must admit there may have been too many potatoes for the side but who can complain when its so good. On top of the food and drinks, the service was great as well. For a busy restaurant in a hip area, we were well attended to and got our food at just the right time. Our server asked us if we wanted more bread a million times and despite us saying no thank you he still brought out more. Being a carb fiend, I think that is just so, so great. Amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.390761905; Sentiment_Subjectivity (from 0 to 1): 0.506095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dinner & Broadway show was the goal.   Only went to this restaurant a few months back because it was convenient to where my wife works.   I seldom am critical of service when judging an overall experience of a restaurant.  Nevertheless this was one of those exceptions.   I had a waiter who had no sense of accountability, who mistook my order because he was too "cooool" to not use a note pad.  When the main course came out I noticed he misunderstood the order, and I addressed it.  I would have eaten it had I not been allergic to lobster.  Nevertheless he insisted that I ordered the dish which I'm highly allergic too and walked away with an attitude.  From their on the service was awkward and slow.   This all happened during a slow time of the day, I can't fathom how worse the service could have been if this kid was swamped. I eventually ended up getting the Branzino I originally tried to order which was nothing special, just like everything else we ordered.   We expected so much more from this place and we're unfortunately let down.  Hope your experience is different... Ohhh and Wicked the musical was amazing!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.012337302; Sentiment_Subjectivity (from 0 to 1): 0.50918254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Enjoyed the chicken. Decent environment.   Went on a Monday. We had to wait for a seat, but that didn't take too long. What did take long was waiting for our food to arrive. The waiter completely forgot about our order. Tables around us were being served before us and we got there first!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.054166667; 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: Do you know what Num Pang means? It means flavor roundhouse kick to the mouth, Chuck Norris style- that's what it means! Of course, I jest. Num Pang is Cambodian for "sandwich," but really, in the case of this hole-in-the-wall shop on East 12th St, the aforementioned definitions are mutually inclusive. You could easily blink and miss this gem if you were to pass by while enjoying an afternoon in the Union Square neighborhood. But that would be a damn shame. Because Num Pang has some of the best sandwiches I've ever tasted. EVER. First there's the obvious - the one you'll read on almost every available Yelp review of Num Pang. The pork belly sandwich. Deceptively small but huge in flavor, it's cooked perfectly and each savory bite has the perfect ratio of melty fat and tender meat. The pickled Asian pear slices add a hint of sweetness, and the fresh veggies and herbs (cilantro, pickled carrots and cucumbers) add some crunch). You could easily eat your fill with just this sandwich. But then you'd miss out on the other offerings: the pulled duroc pork sandwich and the hoisin veal meatballs for starters (which my husband and I had on our second visit, and which came out in a matter of 3 minutes after ordering- speedy, quality food? What a novel concept!). Or the ginger barbeque brisket, grilled skirt steak, and grilled khmer sausage sandwiches.. My brother and his friend ordered those three sandwiches and split them all ( a lofty goal that they managed to accomplish). He called me up afterwards and said simply "that ...was ... incredible". I couldn't have said it better. Though they're best known for sandwiches, I also love the refreshing tropical fruit salad, packed with coconut, lychee, watermelon, papaya and mango and topped off with mint and lemongrass. When it's in season (spring and summer), have the market gazpacho. Cool, refreshing, flavorful, filling ... it's a perfect compliment to a more appetite-filling sandwich. Is it so crazy to think I could try every sandwich that Num Pang has to offer before summer ends? Probably. But in the words of my brother: "Challenge Accepted".; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.381845238; Sentiment_Subjectivity (from 0 to 1): 0.567219388 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Easily the best Mexican food in the city. I've had a lot of what passes for tacos and quesadillas in NYC, and nothing compares to this place. I've only tried the pollo asado tacos/quesadillas (with everything) on flour tortillas. The ingredients are fresh and oh, so flavorful. The chips and salsa are good if you need a spicy kick, while the Mexican sodas are a nice bonus that rounds off the meal. I cannot recommend this place enough. Who knew that a "street taco" gem was the highlight of Chelsea Market?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.337037037; Sentiment_Subjectivity (from 0 to 1): 0.525925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 BF and I had Sunday brunch here today, and I must say that I was pleasantly surprised by how unbelievably charming and quaint it was. I attacked and destroyed the buttermilk biscuits that we ordered first. For our entrées we ordered the chicken and poached egg sandwich as well as the corn beef hash. The chicken was all dark meat, and was fried to decadent perfection. The chimichurri sauce that accompanied it was a very nice touch to add some extra flavor.  The corn beef hash was also quite good. The meet with tender and the potatoes were seasoned well. Overall, I would say that you would both be delighted to come back again for more farm fresh goodness.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.195333333; Sentiment_Subjectivity (from 0 to 1): 0.545555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am a fiend for lamb schwarma, and Wafa's is the best I've had. When I walked into the storefront it didn't feel like I was in a restaurant; I thought I might have stepped into Wafa's kitchen. It was clean and organized...and I could feel the love! I've only made it over that way once, but it's definitely been added to my go-to list of places to eat near my house (since they'll deliver).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.348611111; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food.  Lively, and crowded, environment.  I've tried just about everything on the menu over the course of a few visits and haven't found a bad dish yet.  All are great!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.207272727; Sentiment_Subjectivity (from 0 to 1): 0.553333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: make sure they notice you when you come in, they're friendly and fast once they take note. you'll end up spending more than you expected in all liklihood but it's a good place. and the food is noteworthy which is a nice plus for the neighborhood that otherwise over-states the quality of it's fare.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.396428571; Sentiment_Subjectivity (from 0 to 1): 0.641269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food, Great service, and an awesome atmosphere. I can not recommend this place enough!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.7875 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small and cozy. This place ha great traditional food. Ill certainly be returning next time I'm in the city!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.009183673; Sentiment_Subjectivity (from 0 to 1): 0.603061224 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Never judge a book by its cover. Living one block away, I always passed by  Bianca and noticed its opened windows and light-hearted atmosphere. I finally decide to try it with a friend and the food was an absolute disaster! I ordered the sliced filet mignon... and it came out in curled-up fatty pieces of grease. There was no flavor. It didn't even taste like steak. I wish I took a picture of it so others could see that it resembled chopped up intestines. I ate about a quarter of it, leaving the restaurant hungry and a little sick to my stomach. The mashed potatoes were watery. Looking over at the table next to us, I realized we weren't the only ones experiencing disappointment. For those in the Nolita area, you're better off crossing East Houston to eat at Cafe Colonial or Elizabeth, which charges a similar fare and serves significantly better food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.004017857; Sentiment_Subjectivity (from 0 to 1): 0.621428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped by here on a trip to NYC. Didn't regret it. Ordered the chicken and beef tikka rolls, which has a yogurt sauce inside. That yogurt sauce counter balances the spiciness of the roll well, and for me, it was pretty freaking spicy, but I couldn't get enough. It was easy to order at the counter, waited about 10 min. for both rolls and ate at the counter. It wasn't busy at the time, so we didn't have trouble finding somewhere to sit. The prices were right. Good, unique food and affordable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.149338624; Sentiment_Subjectivity (from 0 to 1): 0.657671958 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You like Ramen, Dont miss out.  This is the place to go!  I'm not a noodle slurper but i sure licked the bowl dry.  They broth is yummy.  The beef is so tender that I had to get extra.  I got their pork bun too...I wish i got a few more orders...that's all i have to say. I checked out Totto Ramen the day after to compare...check me in a Ippudo again please!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.171666667; Sentiment_Subjectivity (from 0 to 1): 0.437777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want to cut to the food experience, please skip first 2 paragraphs... I would have given this place 5 stars, if it were not for the broken promises relayed by the hostess/Maître d.' When I first arrived, I asked how long the wait would be, which the hostess said 45 minutes to 1 hour. I was put on the list, with the time recorded as 12:07pm. I decided to run some errands and come back at 12:30pm. Yes, there were several parties ahead of me. But there were some well-dressed people (assuming regulars) dropping the phrases like "I have a reservation," and they were seated immediately. So next time for fun if you wait there, see who gets seated by the well-dressed Maître d' with a French accent, and who gets seated by the other 2 hostesses. This landscape reminds me of an article I read awhile back in "The Los Angeles Times" magazine on how where you get seated is compared to a parking lot. If you drive a Bentley, your car is parked up front, a Benz in the middle, a Pinto in the back (but in this case it's to the right closer to the bathroom). Also there are separate lists, one for the restaurant portion, and one for the bar portion. The bar portion is said to be a faster wait, however why don't the "regulars" ever sign up on that list? Probably because they didn't want to pay the same price for cuisine, and sit uncomfortably there. Also, because they can drop the phrase "I have a reservation." Actually, you might try that the next time, and when they look for your name, You can say you spoke to someone over the phone. They are put in an uncompromising position, and have to seat you. Also, make sure when you say you have a reservation, to use your last name. That's what I seemed to observe. I was thinking should I bail or should I stay, but after already waiting 58 minutes, I really wanted to see if this place was that great, if this place was worth the wait. After being seated at 1:21pm (they were 14 minutes late), I was able to decompress. I believe the Maître d' seated us (which was sort of like an apology), but he pushed the table in an aggressive matter, so it was more like a back-handed apology. -- *** I tried the salmon and the Niçoise salad, coffee, and glass of Rosé. The salmon was excellent (probably the best cooked one I've had) but I wasn't privvy on the cut-up veggies. The salmon was so fatty, but perfectly cooked (not overdone, not to raw, color still remain consistent throughout, texture was almost like Toro). The Niçoise salad was amazing as well. The tuna was seared on a grill (you can even taste a genuine charbroil/seared flavor, see photo). They use 3 types of tomatoes (yellow, cherry, and sun-dried). You can tell that the sun-dried tomatoes weren't re-hydrated and from a bag, they were fresh. The hard-boiled egg was perfectly cooked, and the dressing was simply oil and vinegar (which is a good thing). I thought the bread that accompanied the salad was a mismatch in texture and flavor. The coffee was watered down. I highly recommend skipping that, and going next door to their bakery for coffee. I know it's a wait, but at least it's in a to-go-cup. For dessert, I saw the peeps at the next table order creme puffs that looked like they were filled with ice cream, and the waiter serves chocolate syrup right after he places them in front of you (kind of like how most places ground pepper after they serve you pasta), just in case you want to try a cream puff with chocolate, and one without. My iphone ran out of juice, so I decided to try dessert menu next time. Instead, I tried the Hazelnut Cocoa next door (their bakery). The cocoa was very rich, and you can even taste a hint of hazelnut.  I highly recommend it even if there is a line.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.201300073; Sentiment_Subjectivity (from 0 to 1): 0.391946558 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 owners are super friendly and sweet! The staff could brush up on their serving skills. The food was pretty average, nothing phenomenal but nothing terrible either. If I had to recommend something from here: I'd go with the grilled salmon and roasted cauliflower. The Lebanese stuffed zucchini sounds better than it tastes and you couldn't get any of the pecans on your fork with the brussel sprouts. Good ideas though! But I did hear their chocolate mousse is devine!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.249537037; Sentiment_Subjectivity (from 0 to 1): 0.646296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here for my bday dinner.  The staff was so nice.  Lance came and check on us a few time to make sure everything went smooth. They sung happy birthday to me with my dessert which light up. They gave me the cutest card for my birthday. The bday  special treatment was amazing.  The food was great and the waitress was so nice and told  me what she like on the menu. Very helpfulI enjoy myself and will be returning.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.454761905; Sentiment_Subjectivity (from 0 to 1): 0.684193122 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As a newcomer to the East Village (I have lived across the river my entire life), I actually did not hear about Artichoke until it was mentioned by the bartender who works at Forbidden City, my on the block go-to-bar as of the past month. So of course, my boyfriend & i decided that we needed to go on another culinary adventure. To celebrate our moving into the East Vill. on Valentine's Day, we took a walk to Artichoke. In typical NYC fashion, the place is pretty small. It seems quite cozy actually with the exposed brick/wood theme going on. There are no places to sit inside to eat. You can eat inside standing by the wall or eat ouside on a bench (it's cold it's winter! who wants to do that!?). We ordered artichoke/spinach slice, a crab slice, and a sicilian to go. The pizza is pretty damn good. I love spinach&artichoke dip, and on this pizza, it's heaven. cheesy, spinachy, gooey goodness. We felt like it was a heart attack waiting to happen. My only gripe is that I felt like the bread/crust was so THICK. I favor thin-crust pizza. But I realized it needs to be thick because the spinach/artichoke is a pretty heavy topper. The slice is HUGE, too. So for $4.00, I would think it's worth it. The crab slice is unlike any pizza I've ever eaten. The crust is thinner than the artichoke slice. It's like having crab bisque with bread. And you taste the crabbiness almost until the very end. LOVE. And the sicilian square slice. okay, that was pretty good too. It's typical, but the edges were a little too burnt for me. I would rather go to L&B's for a square. i will be back. for sure. ( i already went back two day ago during my lunch break at work!); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.071223958; Sentiment_Subjectivity (from 0 to 1): 0.542621528 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oof, midtown. The bar was overly crowded Thursday around 6, but they have a fantastic beer selection including my fall favorite, Pumking. Shit was overpriced for being served in a tiny ass glass though. Extra points for the free Yelp shot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183333333; 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: Everyone in the neighborhood knows this is the best caribbean food around. Nothing beats it. Everything is amazing. The Mac and Cheese is onion-y and really good...it's different from the Mac and cheese you are used to. The curry veg is one of my favorites. The stew peas are great and sometimes they come with these interesting spinner dumplings. I don't eat any meat or fish anymore, but I have had all their shrimp dishes in the past and they were amazing. Order anything "jerk" and you will be happy. The service is slow, but it's worth it. And the two ladies who run the place are awesome. This is a crown heights institution...perhaps the best place in the neighborhood. It's tiny, like really tiny. We always get our food to go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.546666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've eaten here a few times and was excited to see a Groupon. After arriving I realized why there was a coupon. The place looks like a pizza joint now and obviously has new management because there used to be a rotating, seasonal menu and this menu was from when I ate here 2 years ago. The food was ok, but not fresh. I found a hair in my water and my friend found a short curly hair under all of his food. At that point we were done. I hate to write a negative review with all the usual complaints of an annoyed Yelper, but yuck. Not worth the trip anymore.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.103219697; Sentiment_Subjectivity (from 0 to 1): 0.462878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really love this place, but can be bumping on the weekends. Best if you have a reservation. Sat at the bar and had just the most delicious dinner. The chicken pad thai was so perfectly seasoned, and delicious. Also, had the pork belly taco as an appetizer, which was incredibly yummy. Will be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.505555556; Sentiment_Subjectivity (from 0 to 1): 0.611111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! Thank GOD they opened a new one with tons of space. I went to the original one once and was too uncomfortable to really enjoy my experience, but I have ordered from there several times because the food is so yummy. Also, this place has a full bar! I indulged and got two margaritas, only $5 at happy hour, and I was perfectly tipsy upon leaving. Really good service too, food came out really fast. Other than the screaming hipster children next to me on both sides, It was a great experience! Will definitely return.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338991477; Sentiment_Subjectivity (from 0 to 1): 0.614346591 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: awesome pizza. the wait to eat in is long and probably not worth it unless its under 30 minutes. the way to do it is to call in a take out order and pick it up and bring it to brooklyn bridge park across the street and eat it there! you will not regret making a trip to eat this pizza!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.238541667; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think I've passed this place hundreds of times and each and every time I looked in with envy of all the party vibes. Honestly, I have only seen this place 'quiet' when it's closed (and can't even remember when I've seen it closed).  I had to carefully pick what company I was going to go with and when my friend was visiting town who's well versed in Latin cuisine, I jumped on the opportunity.   And party it is inside! Super busy (even on a Wednesday night), loud Salsa music, many smiley faces balancing their good and relatively cheap mojitos and sangrias... Happy Hour just kept going and going... We did have to wait quite some time for a table but I guess that's our fault for missing one from our party. All worth it though as the food was good: great guacamole and chorizo arepa. We also had the empanada sampler: beef, goat cheese (favorite!), chicken and guava. Surprisingly, the 4 empanadas, 2 arepas and chips-guac hit the spot for 3 hungry people. Fried cheescake with ice cream for dessert - fried food living up to its reputation, no complaints whatsoever.  Will be back to work my way down the menu. Oh, and the service was impeccable! Prompt, attentive but not overbearing, made own suggestions.. Thanks Bogota. If Colombia is like you, I can't wait to go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.289049145; Sentiment_Subjectivity (from 0 to 1): 0.58034188 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want to like The Narrows more than I do. I appreciate what they're trying to do; decent food, good cocktails, nice space. But there's always something holding me back from putting it into my regular Bushwick rotation. As many have mentioned before, the cash-only thing is a big drawback for me. This isn't some dive bar with $3 beers or sketchy chinese take-out joint where no one speaks English; you're charging double digits for cocktails and offering food and can't be bothered to accept credit cards? Hell, I would rather even download some stupid mobile payment app than have to go pay some rip-off in-house ATM surcharge if you are really going to tell me that the credit card processing fee is such a big deal. Cash-only always feels like an aggressive "eff you" to the customer. (Sidenote: I once dated someone who sold/leased ATMs on the side in high school in the city. Apparently it doesn't take long for those babies to pay for themselves.) But even if I can remember to bring along a few stripper bucks, The Narrows still manages to fail its potential. On the few occasions I was there over the summer/early fall and there was space in the back patio available, I still didn't want to sit out there because there was always some group chainsmoking their hearts out. (I'm not full-on anti-smoking--if that's your thing, so be it--but I definitely don't want to smell like it for the rest of the night.) And service has always been hit-or-miss when we don't sit in the main room. There's supposed to be waitress service everywhere, but I could've written the sequel to Nathaniel P. in the time it took the waitress to come back to us on the most recent attempt. (Homeboy eventually just gave up and helped himself at the bar, leaving me to stare at my phone solo and eat the string cheese I randomly found in my bag.) In the end, I'm not going to object to The Narrows if someone else suggests it; I do enjoy myself a $6 beer + (not horrible) tequila special. But I'm not going to go out of my way to go back there, either.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.076402116; Sentiment_Subjectivity (from 0 to 1): 0.369120879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 LOVE LOVE Best Greek Salad I've ever had. Dip Trio is always required at my dinner reso's. Service here is really genuine and consistent.  I love coming here with my friends even though none of us even live in the neighborhood.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.420707071; Sentiment_Subjectivity (from 0 to 1): 0.438888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mix of standards here. Food is amazing, especially the moist brisket. Pork rib was the best I've ever had, much better than Hill Country, which is a good comparison joint to the Texas style BBQ they are going for here. You can pass on the lean brisket, unless you just want to try it, as I did. Too dry, and too much straight fatty when not. Tip - ask for burnt ends, and they will give you the best part (crust/meat/fatty combo) of the fatty brisket. Double standard was the atmosphere and service. Both are good, don't get me wrong, just not my preferred style. The place is lit by candles only. You'll think you're back on the set of Barry Lyndon with how dark it is in there. Problem is, this place doesn't have Kurbrick's cinematographer. And service wise, they are a tad too slow. And this isn't my nyc mind coming through - I've been to the central Texas joints, and it just isn't very streamlined here at Delaney's. Again, not the end of the world, as that's something that can easily be remedied. Overall, absolutely worth the trip.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204861111; Sentiment_Subjectivity (from 0 to 1): 0.461805556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I wish I could put five stars for food, drinks, and atmosphere and a negative five for the crazy lines that always make me feel like an idiot for coming here -- which, of course, I immediately forget as soon as I'm sitting down, sipping my always-delicious frozen mojito, eating my yummy food, and chillin' outside. Last night they had a problem with the exhaust fan and couldn't make any food, so my friend and I were talking about how the super strong drinks were going to be a little tough to handle. The people next to us on the picnic table overheard the convo and literally gave us half their food, which struck me as a very Habana Outpost-y moment. Yay Fort Greene!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.121688034; Sentiment_Subjectivity (from 0 to 1): 0.438888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hard not to say Totto Ramen serve the bestest, spiciest bowkl of ramen in the whole NYC. Simply that and worth the long wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.031666667; Sentiment_Subjectivity (from 0 to 1): 0.359761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 incredibly quaint and charming. Space is very tight and is usually packed, which makes for an energetic atmosphere! Expect waits, unless you're lucky. This place is very popular. Came here for brunch and was pleased with their fare.  I appreciated how light and healthy their food was in comparison with other brunch places. Ordered their roasted artichoke provencal, which made me feel like I was eating a meal in France. Husband ordered the eggs benedict with smoked salmon - awesome! Prices are a bit above average, but I do think you get what you pay for. Next time I would like to try their mimosas!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.323824405; Sentiment_Subjectivity (from 0 to 1): 0.564360119 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 combination of ingredients and very nicely executed plates. Chef Cesar is a great artist plating his delectable creations on equally beautiful dishes. The best meal we had in New York!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.733409091; Sentiment_Subjectivity (from 0 to 1): 0.709090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Burrito was not as good as the taco. But still super yummy and BIG. Big juicy delicious chunks of steak and your choice of black or pinto beans (I'm a fan of black beans!). Also rice (YUM!) and cheese. Oh-Em-Gee, the steak chunks were so delicious! (Seriously!) Charge you extra for guac, but again, your choice of salsa, hot sauce, and sour cream. FILLING. Oh, and I think I might have experienced heart burn for the very first time in my life after eating this. Sucks getting old! :(; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.146446078; Sentiment_Subjectivity (from 0 to 1): 0.52254902 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Malaysian cuisine. Large menu, good food.  Dinner here is good with a large group, as they have the tables to accomodate you.  I wouldn't say it is the best Malaysian food I've ever had, it's good.  I really like the seafood fried rice here.  I was a latecomer at dinner, so I had someone order me the duck with garlic and scallions and it was decent, but the portions of meat were kinda small.  So I had to be the garbage man and finish up everyone else's food.  The appetizers were in good portions and the food was cook perfectly.  I would frequent again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.453769841; Sentiment_Subjectivity (from 0 to 1): 0.51031746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The restaurant is clean and has a comfortable casual vibe. There was a ten minute wait on a Monday morning an hour after opening. The staff are friendly and attentive. We ordered the pumpkin waffles homemade granola with greek yogurt and a side of bacon.  Overall the food was good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.193518519; Sentiment_Subjectivity (from 0 to 1): 0.485185185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on yelp and reading reviews chances are you are looking to go out to dinner tonight or sometime in the near future. Well stop your search friend, you've found a winner. BF and I wandered down on a lazy Thursday eve around 8 I believe. We were seated and greeted promptly. I had the glorious buttermilk chicken and he had the burger. --So good. I dream about that chicken now that I've moved away. Don't question. Just go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.115079365; Sentiment_Subjectivity (from 0 to 1): 0.616269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: never really noticed this place while growing up, because for wonton i always went to the restuarnat with a "wong" .. big wong, big wing wong, fu wong(no longer in existence).. etc. the wontons here all decent not sure its my favorite although affordable. the "wong" restaurants all cater to the tourists now so coming here is refreshing as there are still locals eating here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.565079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 itself is really good. The chicken was a whole baby chicken patch cocked - really cool twist on traditional chicken and waffles. The chicken and waffles were great; I loved the combo or jerk sauce and maple syrup. The pork was cooked it was still rosy in the center, delicious and a lot of meat compared to the sides. I loved this place and would definitely come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13; Sentiment_Subjectivity (from 0 to 1): 0.676666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When you walk in you get a sense of a cozy environment.  The lights are dim, the service is good, and you hear people chatting.   The food here is good.  I had the steak frites and it was good.  It was tender and juicy with just the right amount of seasoning.  I also had a piece of my friends pork chop.  It was moist and cooked very nicely.  My friend was complaining about his lamb being overcooked.  I have to say the food was good except the desserts.  I did not find them to be worth it.  Maybe because I just had some awesome dessert previously and was comparing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.445367965; Sentiment_Subjectivity (from 0 to 1): 0.586580087 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, Keith McNally, you've done it again.  You managed to turn what used to be a good place into one for morons.  The food last night was awful.  How can you charge for a steak that was so bad we didn't even want to return it for fear of getting another one of the same caliber?  There are no redeeming qualities about this place anymore.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.24375; Sentiment_Subjectivity (from 0 to 1): 0.619791667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Starter - breadsticks and bread was good, grilled vegetable and seafood platter was interesting. The amount was little less. Then there was an option for one entree with unlimited pasta of 3 types. A little confusing about what to order, but taste was good. Little crowded place, but overall experience was nice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.147083333; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/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: Solid meatballs.  Be prepared for an onslaught of ball jokes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.1 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for the first time and will definitely be back. I'm an American craft beer fan so this place is perfect for me! There is a great selection of beer at really reasonable prices. They have happy hour specials on select beers for $4 which is really great, especially in this area. We were worried it would be loaded with NYU students (pleasantly surprised!) but it was not. Fantastic ambiance, exactly what I would want in a good craft beer bar. We were fortunate enough to speak with Darren who knows his stuff and told us there would be even more great beer and good things to come! I can't wait to come back and try the food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.365; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not the worst Thai food I've had, but also not the best. The value was good for the cost, and they had a nice little wine selection.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2225; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You know that momen right t after experiencing Ecstasy  where you absolutely dont want to be touched because you need a moment... Thats the EXACT reaction i had when i had a bite of their Chicharone de pollo. It was THAT good.   This is a place you have to experience to understand how Great it is, The Staff are Incredible and very Funny! On my First Visit i had The Chicharone de pollo, The Pork Chops and The Caramel Flan.  Both Dishes Come with a choice of two sides, I had the tostones with Ajo mm mm!! and The Black Beans and Rice.  I will be back very Soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.365083874; Sentiment_Subjectivity (from 0 to 1): 0.545670996 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was curious about this restaurant but for some reason I never made a point to kill my curiosity... until I discovered that one of the cooks Felipe Saint-Martin is BRAZILIAN! Of course I was only sad I did not come to this place earlier. It's beautiful and happening without being snobby and the service is impeccable. If you love cheese like me order the cheese selection which is to die for. Great for lunch and the eye candy is NOT TO BE MISSED!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309375; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars came here last night after a poetry reading in the neighborhood. maybe we lucked out, but there was no wait for a table (although people were waiting for a seat at the bar - go figure) service was likewise prompt, and attentive, without ever rushing us. (the waitress was cute too - but the other waitress - well - i couldn't take my eyes off her - but i digress) looks like they have a really good selection of sake and shochu, which i would normally have dived into like esther williams in august, but i was in more of a beer mood. sadly (though not surprisingly) the beer selection is limited, and really doesn't cover the types of ales i prefer, but that's a minor matter. onto the food. being late they were out of the chicken oysters and chicken asses, er make that tail, for the sake of the squeamish, so we had to pass on those we had: 1st round - SHISHITOU TSUKUNE: chicken meat ball stuffed into jap. green pepper ENOKI BACON: enoki mushroom wrapped in a slice of bacon KURO BUTA KARASHI LEMON: organic pork w/ lemon & mustard NEGIMA: thigh & scallion YAKI NASU: eggplant w/ponzu & bonito flakes all of these were great, the stuffed pepper and the enoki stood out, and the eggplant came with some grated ginger that was a really nice touch as we were finishing this we saw the people at the next table eating tiny bites of something from a sake cup sized bowl. it annoyed me that i could not figure out what it was. so i interrupted their date to ask them. they said it was a small pot of pickled wasabi root. i snagged the waitress and asked her to bring us one. amazing. strong, sinus clearing, and salty as hell. wonderful stuff. afterwards i found it on the menu - thusly: KIZAMI WASABI SHOYUZUKE: chopped japanese horseradish w/ soy sauce we were enjoying the food and the conversation so we opted to move on to 2nd round- KAISOU SALAD: seaweed salad w/ japanese plum dressing we also had two dishes that do not appear on the online menus i've been cutting and pasting from (yes the secret is out) but are on the menu there. one was a plate of deep fried tiny little silverfish, maybe 2 inches long and as thin as a shoestring fry, (actually the looked a little like fries with eyes) served with a mix of salt and powdered green tea to dip them into and buckwheat dumplings served in a broth made of dashi and pollack roe. the seaweed salad was the best i've ever had, hands down. the fried fish were a great beer snack, very tasty , although if i were to drop one item from what we ate it would probably be them - not that anything was wrong with them, it was just overkill, and the dumplings were different than anything i've ever had, delicious and quintessentially japanese. all in all - WIN!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.063849984; Sentiment_Subjectivity (from 0 to 1): 0.530524432 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really!!! Waiting for 1 hour for below average food.. Never again; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1203125; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: wow, as good as it gets; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just okay, but the atmosphere was great!  Very cozy and romantic.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.31; Sentiment_Subjectivity (from 0 to 1): 0.68125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gerard and Billy are the best =] the food is good here especially the trio of chips & dip; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; 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: Ok, so I might be a bit tipsy already when I walked through the door... My boyfriend and I sat at the edge of the bar, facing the patrons and had the perspective of the bartender. Love the decor of the wine bar, dim and red with florescent round light bulbs. Our waiter was so friendly and after taking our order and delivering us the food, he didn't bother us until the boyfriend needed another glass. With just a glance, he knew to come over and recommend another glass. For munchies, we had the Escargot and Mussels. Escargot was good but not great, there was a lot of breadcrumbs with each escargot and that literally covered the whole escargot feeling. The mussels were really good, nice broth and we were given a lot of bread to soak up the broth. The french fries that came with the mussels were excellent, 2 types of dipping sauce. Amelie is quite nice, given if I wasn't tipsy, it probably would've been even better. Well, that's just another excuse to return.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.535294118 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place for lunch/dinner when you are in the neighborhood.  I've been here maybe 5 times over the years, and I came here two days ago (Tuesday) for lunch with my wife and toddler for a quick lunch before heading to the galleries and the High Line.  ~$60 for app, two entrees, dessert sundae and coffee before tip.  We had the Montauk squid app (I think it was a special) which was deep fried but very good and didn't feel too heavy.  Also had the burger which was very nice - large, two huge strips of bacon, a thick melted cheese (I think it was cheddar), large cut pickle and pretty good fries.  And had the mushroom pizza.  I'd recommend sitting outside, especially if you have a toddler like we do -- he sat watching the people and was pretty chill.  Service was very good.  We also had the PB&J sundae which may have been the highlight.  It was not over the top in flavor, but was nicely salty.  Peanut butter ice cream, a grape jelly compote and some PB brittle/crumble with a salty whipped cream.  Great meal.  Too much food for the 2 1/2 of us, but everything was tasty and it was a nice day to sit out in the sun.  Sat a couple tables away from Maggie Gyllenhaal.  I never notice or recognize any celebs but my wife always does.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.368654244; Sentiment_Subjectivity (from 0 to 1): 0.658850932 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 never had a bad dish here. It's really, really delicious. Their kanafeh is the best in the city.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.655555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Montmartre in Chelsea for cocktails. This French restaurant and bar is small, yet cozy with a very inviting vibe. The bar seating is limited, so if you're wanting dinner, I would recommend sitting in the dining room. But, the bar is great for drinks and snacks, which is exactly what I did.  I ordered the Buzz, Billie Holiday, Buzz, blanco tequila, Drambuie, lime juice and honey syrup. The drink was tasty, slightly sweet and citrusy and totally pleasant. Best part is, there's a black cherry at the bottom of the glass. If you're wanting a snack to go with your drinks, there are some great options. I had to go for the Pommes Frites served with an aioli and brown butter sabayon. The fries were perfectly seasoned and cut wide, but still thin, giving them a great and unique shape. The dipping sauces were lovely too, I favored the aioli.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298433584; Sentiment_Subjectivity (from 0 to 1): 0.557518797 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is good but still overpriced and the service is terrible. The waiter seemed to be annoyed that we weren't all ordering drinks, maybe because he was hoping the check would add up to a bigger tip? The staff here seems irritated when you ask them for anything as if they are too good to wait on you. If they want good looking people working here there are plenty of actors and models in the city that they can hire who would be friendlier.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116666667; 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: Ordered the large fries with Parmesan peppercorn sauce and curry ketchup.  Loved the freshly cut potatoes which were perfectly fried with these two sauces.  Wish they had a place like this back home.  Will come again for sure if I am ever in new york again. Tip: order to go, they fill your cone and bag.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.407235622; Sentiment_Subjectivity (from 0 to 1): 0.58171511 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bottom Line: The food does take a while to make if its crowded (We ordered a whole pizza with some veggie toppings). The time waiting made my mouth water and my boyfriend frustrated (he was really hungry...) and we were basically trying to figure out 'why is this place SO great if the wait is THIS long?!?!?' well....we got home and devoured the pizza. It was delicious. The extra basil on top was a great touch. The fresh ingredients and crust were a nice change compared to some other places claiming to be the best.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.345913462; Sentiment_Subjectivity (from 0 to 1): 0.498076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: All these five star ratings tell me, is that despite the flood of faux-bohemian, over-privileged types that have become an epidemic to the Williamsburg neighborhood, literally none of them have had the luxury of enjoying a well-made cocktail. Yeah, the menu is awesome. Yeah, I can see the lure of a small space in a "rough part of town," ironically playing the hip hop written by people from that part of town (Marcy Projects is but a mile away! but most people who live in Williamsburg probably don't know why Marcy Projects is significant to 90s hip hop anyway), and can no longer afford to live in that part of town. And who doesn't like $1 oysters, unless you didn't like oysters in the first place. My cocktails sucked. They were almost undrinkable. One of them actually was - my friend couldn't even finish it (specifically, the 666, who's ingredients look amazing, and who's flavor profile is reminiscent of Robitussin). I am no skilled cocktail genius, yet I've made better tasting Old-Fashions, literally, half-drunk (and without top shelf whiskey either - although I think the rye Post Office uses must be the bottom shelf of a basement). And the Ginger Ginger, whilst again, sounding quite refreshing, was a bland, watery waste. Yeah, drinks aren't Manhattan expensive, but, given the wealth of far superior, just as inexpensive places to get drinks in Brooklyn, there's literally zero reason to ever come back to this bar. And unless they can casually offer me the secret to everlasting life, I won't be returning.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.141919192; Sentiment_Subjectivity (from 0 to 1): 0.587847222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're craving for some Korean banchans and do not feel like going to H-Mart across the street o make your own, you can check out Woorijip.  They have a buffet where you can purchase an array of banchans, such as tofu, kimchi, namool (veggie sides), beansprouts, radish, mushrooms, seaweed salad, spinach, black beans, dried squid, anchovies, etc.  They also offer porridge, rice, noodles, stews, rice cake, pancakes, and even lunch boxes.  Their last health inspection was back in 2013, and it was an A, so that should ease people's minds about the sanitary conditions of this place.  The lines can get backed up with people deciding what the choose and those who take time in order to get a large portion to last the week.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.055952381; Sentiment_Subjectivity (from 0 to 1): 0.386904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite brunch place in NYC. There's always a line out the door, but it moves fast and waiters bring snacks and coffee to you while you wait. The pancakes are fluffy and have great flavored butters, and they have an epic variety (apple walnut, ricotta and lemon, sweet potato, pumpkin, etc). And the huevos rancheros are INCREDIBLE. Ample serving sizes. And that's just the tip of the iceberg (the menu is huge). Definitely a must-have experience for any New Yorker or visitor looking for an authentic experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.335123967; Sentiment_Subjectivity (from 0 to 1): 0.664049587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not only was this one of the best meals I've ever had it was also the prettiest! My only complaint is the ambiance. I'm not sure what was so off-putting, the decor, the lighting or the setting but I just couldn't get over the feeling that I was in a Double Tree somewhere in Ohio. Oh well, everything else made up for it. From the very beginning the service was exemplary. We had an 8:00 reservation on a Tuesday evening. I want to get the word out about this place because it wasn't even half full and this is one of the best restaurants in the city. We were shown to a table but when I asked if we could sit at a booth instead it was absolutely no problem. The wine list is fantastic and we decided to start with the Domaine Darnat, Clos du Domaine, 2011 which was excellent! The amuse bouche was easily the best I've experienced and it was almost too pretty to eat, as were all the dishes. We went with the 4 course tasting menu and we both left completely satisfied if not a touch too full. Here's the rundown: 1. fruits - nut - fluid cheese - fabulous. I know that I'm not being very descriptive but it's difficult to put into words the intricacies of each dish. 2. autumn vegetable pearls - kingfish - fresh origins herbs - this was the better of the two starters, akin to crudo. 3. tuscan kale soup - sprouted lentils - pork neck - organic grains - hands down the best soup ever. This was a sizable bowl of beautifully rich green pureed kale. The sprouted lentils added a noodle like experience and the pork neck was shredded and added the most complete flavor. 4. purple artichokes - agnolotti - salsify crisps - dandelion - PERFECT! Very rich agnolotti with the most flavorful filling. 5. yukon gold - black bass - flourless gnocchi - truffle sabayon - perfectly cooked fillet and the truffle sabayon was heavenly. 6. anise hyssop - hudson valley duck - chef's garden candy beets - natural jus - I'm not the biggest fan of duck but again, this was spot on. 7. caramel corn - tarragon - lime - cheddar - read the ingredients, nuff said. 8. chocolate - sweet potato - bay leaf - the bay leaves were dipped in chocolate We decided to order a second bottle of wine because, uhmmm that's how we roll, and we went with a featured local wine., Merlot, Paumanok Vineyards, North Fork, Long Island, 2008. I could not have chosen better for the second half of our meal. It was fantastic! Now you will spend a pretty penny dining here but it is SO worth it!!! GO, GO, GO!!! I hope this place stays around along time. I did eat at Sho when it was open and all I can say is he has definitely stepped it up. BRAVO!!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277260349; Sentiment_Subjectivity (from 0 to 1): 0.540250545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to celebrate my birthday and we loved it.   service: 5 ambiance: 5 food 4.5-5 price:  pricey but worth it for special occasion.  still a better deal than the city.   i even loved the long list of specials our waiter  recited.  it's almost part of the entertainment.  our waiter couldn't be more accommodating and sweet.  we took our time and enjoyed our dinner without being hurried off.  will definitely return.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.385714286; Sentiment_Subjectivity (from 0 to 1): 0.552142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a great discovery!! This little Italian place is a gem!!!!!!! We ordered the Ciccio Spritz and it was so yummy & refreshing. I wanted to have a bunch. Then we ordered the chicken liver pate. It was AMAZING! The pasta was to DIE for!! This is my new favorite restaurant!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309232955; Sentiment_Subjectivity (from 0 to 1): 0.694318182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 people working here are great!  This gem of a place was revisited this time with a large party of 14.  4 of them 3 and under.  We loved their flat bread with prosciutto, each entree was delicious, from their squid ink noodles with clams, their bolognese pasta, their penne, and risotto...  Everyone was in heaven.  I definitely will be back for more!  & the kids enjoyed it too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.438928571; Sentiment_Subjectivity (from 0 to 1): 0.513690476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want to hug the chef for the amazingly excellent, flavorful food I had here. In fact, she comes out and greets her patrons (my boyfriend just hugged her - writing this review while I'm still sitting at the table) which should tell you how much she cares about the quality of experience you get when you come thru the door. This was my first time here and I had to fight thru my boyfriend's skepticism to get him to understand that kangaroo is ok to eat (healthy too) and I feel triumphant in my decision. Please do yourself a favor and get the kangaroo steak, burger, tiramisu and Australian iced coffee. Not too mention the side of pumpkin mash will want you to smack your grandma its so good. You will not be disappointed by the food nor the ambiance (as Sade plays in the background lol). I'm pretty sure my boyfriend wants to marry me for making him come here now!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.547685185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to dinner here last night and was absolutely blown away.  Not only the was the food astoundingly delicious, but I've never had such friendly and attentive service.  The staff as a whole is just a great group of people that just made the entire experience super great. The guacamole as an appetizer was super delicious.  Totally suggest getting it.   It looked like it got packed after 7, so I suggest making reservations, or showing up a bit early.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.346354167; Sentiment_Subjectivity (from 0 to 1): 0.6734375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pizza is incredible! Calzone not as amazing, but still pretty good. Ambience is really great, perfect for a date, and BYOB! As others have noted, however, be ready to wait for a table.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.807142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hard a get a reservation for this restaurant. I made a reservation via Opentable at least two weeks ahead, but I only got a 6 pm slot on a Friday evening. The day we went was very HOT, so I was not sure if we should order the hot pot. The waitress told us that a lot of people were still ordering that in the hot summer, and that the AC was very strong, so it shouldn't be a problem. We started with the Grilled Pork Tonsoku (pig's feet) with scallion and ponzy sauce. The pig's feet was crispy and tender, not greasy at all! We ordered the Hakata Tonton hot pot. The hot pot filled with broth and raw ingredients was brought to our table and let cook on the small table stove for 20 minutes.  All the ingredients were piled up as high as a mountain, but they quickly shrank after they were cooked and softened -- which meant that the portion was not really big. The broth was the best part, and adding the noodles made it more filling. This place was very popular. The chef also came out to chat with his Japanese customers, and delivered to them some dishes that I guess were off the menu. The waitstaff was super polite, very Japanese. One waiter saw me going to the rest room, and he quickly knocked on the door to make sure no one was in there, and opened the door for me. He did it twice for me that evening. After we left the restaurant, the same waiter came after us and wanted us to get a candy from an old-fashioned candy dispenser he was holding in his hand. It was an odd ending of the evening, but I did enjoy the experience of dining in Hakata Tonton.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188573718; Sentiment_Subjectivity (from 0 to 1): 0.564856532 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I went solely for dessert and tea. We were in the neighborhood for dinner and wanted amazing dessert. The wait was long. the place is very tiny. But it has a beautiful Japanese feel to it. We both had the black sesame creme brulee. The presentation was beautiful. The curled sesame tuile on top was yummy. The small scoop of sesame ice cream placed on top. It was perfect and the right amount. It is very rich and creamy but not too much of heavy cream that you might think of when you have an original creme brulee. There is a large selection of tea. Which was great. I had the Yinzhen silver needle white tea. It was light and buttery sweet. My friend had the herbal chamomile tea. I will definitely be back again and it will be a place I'd take friends and family from out of town to. Also the waitresses are soo pleasant and polite. Cons: cash only, can be a long wait; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.301215278; Sentiment_Subjectivity (from 0 to 1): 0.601636905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ambiance was alright.  Kinda rustic minimalist look.... Staff was a little slow... but very, very nice. The food we ordered was delicious however, exceptionally small in portion for the price, like they piled on the cheap stuff and skimped on the nice foods.  Maybe get slightly smaller wine glasses, it looked like there was maybe 3oz in the glass which felt wrong. The deviled eggs were the biggest insult.  1.5 eggs... where did the other half go?  For 5 bucks... really?  This isn't the Upper East Side. Definitely will go back, but probably try other things. We really hope this place does well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.089754902; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best diamond in the rough of the west village. Amazing food, low prices, and an interesting setting makes this restaurant really stand out. Everything is delicious here, and even though the kitchen is literally in the restaurant the space works well. You have to try the lamb and the sole(if they bring it back). You can even call ahead for reservations, which is unusual and very convenient for a restaurant that has seating for at most 25. I hope it stays undiscovered, because its great to come here on a whim when in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.408333333; Sentiment_Subjectivity (from 0 to 1): 0.5125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: as far as i know, this is the only taqueria in manhattan that comes even close to being as good as bay area ones. I recommend the pollo asado. very flavorful and juicy. also, always get guac.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25; 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: UW Husky bar in the middle of the big apple.  How in the world could you go wrong?   I was with a friend, a UW graduate, who had heard of Rattle 'N' Hum, but had yet to visit.  I met up with him for dinner and naturally with a game being on at 9pm (Pacific) the game was on much later Eastern time so after dinner we headed over to hang out with some fellow Huskies, UW transplants and Seattle natives.  It literally was like being back in the Northwest - the only time I was reminded that I was in NY was when I stepped outside to smoke. The place is an average size bar with friendly goers and so many beers on tap!  On a Saturday my friend and I were able to get a great drink special, $12 for a pitcher of Pumpkin Ale and $5 Martinis.  Could it really get any better than that, especially in NYC? The best part?  The bar was in the shadow of the Empire State Building....Gotta love the big apple.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159415584; Sentiment_Subjectivity (from 0 to 1): 0.422564935 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to many high-end super markets where there are casual dining areas where you can quickly eat and be on your way out. I walked into Eataly thinking that it was similar way... but not quite. I was excited that Eataly could be Italian version of WholeFoods. I walked around for a while until I ended up at the pasta section. Then I saw Barilla...eh??? Grey Advertisement used to do marketing campaign for Barilla pasta... and I met the person behind the campaign... and according to him it's not an Italian brand. It's made in good old USA. So I was a bit puzzled... why in the heck is Barilla in authentic Italian Supermarket???? The whole concept of the place was that they are authentic Italian place with imported goods... but Barilla isn't although ad campaign wants you to think so. Anyways, so I wanted to grab a pasta dish before I left. Oddly I had to waited to be seated... huh??? Isn't this supposed to be a casual dining???? The hostess made me wait 10 minutes even though there were many seats... I think she was confused because she kept looking for someone. After I was seated it took a waiter another 20 min to take orders. WTF???? I mean there were like 20 staff behind the counter but no one seem to know what they were doing! Hello? I am hungry??? I ordered simple spaghetti al pomodoro. How could they mess that up, right???? It was $12 per dish! But I thought if it was good I can justify $12 for a simple spaghetti tomato sauce. I had to wait another 30 min for it. In the meantime another waiter just tossed me a piece of bread wrapped up in brown bag. Huh???? At first I didn't know what to do with it. I had no plate, no butter, no olive oil... what am I supposed to do with it? During this 30 min period I heard 3 people complained about their food. It seems as though people who worked there really didn't care... their attitude was it's not me, it's you hahahahha When I got my spaghetti I was just astonished... it looked like if my college roommate had put spaghetti-o on my plate. What is it???? In hopes that it may taste better than it looks I slurped my spaghetti... booooooo... the noodles were undercooked, sauce was dry, and most of all it was very blend. By the way, considering I am paying for $12 for blend spaghetti I didn't get cheese, pepper, or nothing! I asked and that took another 10 min... argh! I still didn't know what to do with my bread. Like I said I didn't have butter or olive oil to eat it with... and it wasn't like they gave me lots of sauce to eat the bread with. I just wanted to leave... what a waste of my money... I asked for a check... yes, that took forever and ever too... I don't think I'll ever go there again... I know plenty of authentic Italian restaurant that serves far better pasta dishes than they do... oh these restaurants give that kind of spaghetti dish for free when you order a meat dish...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.113121693; Sentiment_Subjectivity (from 0 to 1): 0.457685185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, unique drinks and 3 blocks from my office. Service was fast and friendly despite it being packed at happy hour. The idaho wedges were some seriously good potatoes stacked like lincoln logs!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.570833333; Sentiment_Subjectivity (from 0 to 1): 0.741666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Day two of our eating trip and 5 meals already under our belt - we headed for a New York must - a Corner Grill Burger. Nothing fancy here - just a damn good burger. What makes this burger great is the way it is cooked. They use what is known as a Salamander Broiler where the meat is cook from a flame above the burger. On a typical grill the fat drips onto the fire causing a 'flame up' or charring flavor that is not nice addition to the cooking process. Better yet - they serve McSorleys on draught. Damn friendly staff as well. My pants are starting to get very tight and Tony is starting to look like the Michelin Man - off to McSorleys for a few more pints and some cheese, crackers and onions; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.162504163; Sentiment_Subjectivity (from 0 to 1): 0.428921079 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nothing more to say than go for lunch and get the tasting menu. The restaurant sells itself. Talk to George, he's been there forever, and listen to his recommendations. He will make you feel more than welcome. It's all small plates with wonderful flavors, textures, etc. A must is the crab/porcini flan for the second course. Save room for the breads and deserts.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.55 [/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: It's Lombardis.  Thats all you need to really know. Amazing pizza. Just AH-MAZING.  Get meatballs. So good.  Or try a white pizza- w/out sauce, and add some fabulous veggies.  You just really cant go wrong.  Service was super quick, we did have a wait, but that tends to happen when a place is this good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.296666667; Sentiment_Subjectivity (from 0 to 1): 0.556666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Giving it a star up for their happy hour. $3 bucks for brooklyn summer ale on tap during happy hour. is that a sick joke. Awesome deal.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.471428571; Sentiment_Subjectivity (from 0 to 1): 0.964285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The crab toast is delightful. And I've thought about the pan fried cod, cabbage and seaweed several times since the meal. So good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had such a memorable experience here! So our night here began when we witnessed something very surprising happen in the restaurant (but I won't disclose that here). But, to make up for this, the waiter gave us two free glasses of delicious champagne and we got to meet two other delightful patrons. After that, we were seated and were overwhelmed by all the delicious choices on the menu. We decided to go with chacuterie, escargo, salad, and truffle fries. Oh my goodness. Everything was so amazing. I'm not sure which meats/cheeses we had because we just asked the waiter to give us his favorite pairings but I do remember the duck breast (you must try it!!). All of the cheeses and meats as well as the condiments were amazing! The wine was great too. My friend wasn't too big of a fan of the escargo but the truffle fries made up for it :) Ambience/Service: Service was amazing! All of the waiters there are so friendly, happy, and helpful! We truly had a delightful experience -- also love the French accents :) Loved the ambience too! This is a great place for a date or a girls night out :); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.57165; Sentiment_Subjectivity (from 0 to 1): 0.776555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Couldn't have been better.   Service, food, beer and whiskey cake for dessert.   squid salad on kale, scallops on brown rice risotto, cheese plate and the fettuccini with clams were all great.  Wouldn't hesitate to recommend it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, good service, nice environment. Absolutely no issues, maybe a tad expensive.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Horrible service, snarky people. When called to make a reservation after reading on yelp - the woman to return my call was snarky and rude. We still tried it and the food was average and we must have ended up with our original person's snarky brother.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.26875; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place, great beer, very friendly and knowledgeable owner!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.736458333; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went there for brunch, and I was not impressed. I like that they have a great brunch deal.  For food, cocktail, coffee/tea and OJ, it's $15. However, you have to specifically ask for all the drinks. Because stuff did not bring OJ and did not even ask us if we wanted them, we ended up not getting them. Also, I dishes were very salty. I still think it is one of the places to go for cheap brunch, but this place is not the best in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.38; Sentiment_Subjectivity (from 0 to 1): 0.61 [/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 like to come to this place often with my friends and family. There is a relaxed vibe and friendly environment. Good food and strong drinks make it special.The fried chicken basket and slushy infused cucumber whiskey drink is my favorite. So awesome and a must try;) The staff are very friendly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.393229167; Sentiment_Subjectivity (from 0 to 1): 0.804166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am so excited I finally open a yelp account. My friends and I are always dinning and having fun around the great city of NY and now I get to write some of our amazing experiences. So we always go to yuca for drinks and then we hit some club or a lounge, depends on the mood but this last tuesday we decided to eat here. It was half tapas and happy hour, of course we only knew about the happy happy hour so after two pitchers of sangria at the bar we went and ask the hostess for a table for seven. Wow a 45 min wait. The place was packed I have to say, so we continue sipping our sangria's and waiting. The hostess looked kind of confused but was really nice, she call the manager for a more accurate time and 40 min later we got seated, Was past 8 so the half price tapas was over but we were able to grab some tapas at this price. Thanks Yuca bar. Service was good, the food amazing. See you next tuesday for sure.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.315064103; Sentiment_Subjectivity (from 0 to 1): 0.603739316 [/INST] Spam</s>