Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As a huge ramen fan, I've been wanting to try Ippudo for years now but haven't had the time or patience to put up with the hour-long waits. I finally gave in last week and now I have absolutely no problems with the waits. I would wait days if I must just to get back in for another bowl of ramen or plate of hirata buns. From just my first visit, I fell head over heels with the hirata buns with pork, Shiromaru Hakata Classic, and Karaka Kogashi Miso Ramen. The servers are great, and I do not have the words to describe the awesome attitudes of the girls working the front, especially given the high volume and long wait lists.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.218888889; Sentiment_Subjectivity (from 0 to 1): 0.588055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this cute place on Fourth of July while waiting to see the fireworks. Service was energetic and friendly and even on a holiday/location like this, there were still plenty of tables left. It's a spacious place to sit down and eat. Tried their cheese chili tator tots which were savory and delicious! Good place to watch the game, play darts, drink beer and follow it with some greasy food you'll be sure to reminisce about (perhaps with a twinge of regret) later.  Mmm.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.274494949; Sentiment_Subjectivity (from 0 to 1): 0.470707071 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have you ever tried Japanese curry? It's the subject of much devotion and fanaticism, but outside of Japan it's relatively unknown. In the US, when people discuss Japanese food, they immediately think of sushi, teriyaki, and ramen. But in Japan, curry is actually eaten more frequently than any of those dishes. There are numerous lunch counters that serve nothing but curry. Japanese people think of it as a familiar comfort food, something that Mom made often. Given the fact that curry is practically Japan's national dish, good Japanese-style curry is surprisingly difficult to find here in the States. In NYC, we're lucky enough to have a few places to choose from, but Go!Go! Curry is perhaps the best known. With multiple locations, Go!Go! Curry is here to fulfill all your Japanese curry cravings. I recently visited their Midtown location, which definitely fits the description of "hole-in-the wall."  Nearly every available surface is plastered with pictures, news articles, and anime. However, one of the wackiest aspects of Go!Go! Curry is that the entire place is basically a shrine to retired baseball player Hideki Matsui. See, the number Matsui wore was 55, and in phonetic Japanese, "go" means 5. Hence, "go go" = five-five. The menu is quite limited: it's basically just curry over rice. You choose the toppings and the size. The sizes are baseball-related, ranging from Walk, which is the smallest size, to Single, Double, and Triple. I opted for a simple pork katsu over rice ($7 for a small). The curry sauce is a dark brown gloop, but it definitely tastes better than it looks. Its sweet-savory flavor comes from curry powder, garam masala, and fruit, among other ingredients. The thin, breaded pork cutlet is topped with tonkatsu sauce, which tastes a bit like Worcestershire. I also got a side of fukuzinzuke, or crunchy pickled daikon radish. To read more, visit bit.ly/1wTCDsS; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.073616474; Sentiment_Subjectivity (from 0 to 1): 0.346782497 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best meals I've had in awhile. I came here a couple of weeks ago on a date and couldn't have been more impressed. I seriously dreamed about this meal for a week afterwards. -First of all they have great wine on tap - definitely recommend this. We went with the red - it was chilled, and paired well with the meal -Started with the proscuitto and a soft cheese - delish! -Mare salad was excellent. Fish was fresh. Flavor was tasty and understated -Truffled ravioli was maybe the best ravioli I've ever had in my life, seriously. I couldn't stop eating it. You HAVE TO GET THIS if you come. -Gnocchi was superb. The sauce was fresh and delicious -Short rib - also perfectly cooked, soft and yummy. Honestly at this point in the meal I was too full to have more than a few bites but I couldn't help myself it was so good. -Service was great - our waitress was incredibly helpful and attentive -Finally, Michael White himself was walking around the restaurant saying hi to everyone!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.439942529; Sentiment_Subjectivity (from 0 to 1): 0.593678161 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just used this venue for a work event for 200+ people and couldn't be happier with the result! Being in California, I was nervous to choose a location in NY without visiting it first. I was drawn to Bea because of the great location and the lovely pictures online. When I reached out to the owner, he was extremely helpful and accommodating. He even forwarded additional pictures for me to look at. Leading up to the event, the owner answered all of my questions quickly and provided me with any additional support that I needed (someone to work the door and check IDs, slideshow capabilities, appropriate signs and a registration table for check-in). During the event, we had open bar and passed appetizers. All of the appetizers were AMAZING! They were so delicious and I never once had to ask for more food to be passed. The entire staff was really on top of it and made sure every guest had food and drinks. The event was going so well that we decided to extend it for an extra 30 minutes and the owner made sure to accommodate us. After the party was over, my friends and I stayed to have a few drinks and try a few other items from the menu. (I definitely recommend the mac and cheese, it's delicious.) Not only was this a great place for a large party, it was also had a great atmosphere for a smaller group. I would definitely recommend this place for any sort of party, big or small, or even for a quiet dinner. This was my second time in New York and I've explored several different restaurants each time. This was by far the best location/atmosphere/food/service I've had in NY. I will definitely use this venue again in the future.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.250918451; Sentiment_Subjectivity (from 0 to 1): 0.528447603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How does one screw up Spaghetti & Meatballs? The Original Benito One will show you how. My meatball was so old, hard and tasteless that carbon dating would have been appropriate. The scarpariello was not good. The calamari was over done.  This should never happen on Mulberry Street. The bread was good. Edit: They took the cost of the meal off my bill; i didn't ask. That was probably the right thing to do. The waiters were good so I will give them an additional 2 stairs.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.157671958; Sentiment_Subjectivity (from 0 to 1): 0.580820106 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overall, Houston's is a great restaurant. I went there for the first time in January.  Their ribs are TO DIE FOR!  I have also had their rotisserie chicken. The menu is rather short and a bit pricey for it to be a chain; however, the food and atmosphere make up for it.  All of the booths are very comfy and the live jazz is great.  The restaurant is very dim and makes for a romantic place if you're trying to take your significant other.  Oh, and men aren't allowed to wear hats.   Excellent food and great service!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.287775974; Sentiment_Subjectivity (from 0 to 1): 0.573809524 [/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: Get the yucca frita! And for breakfast, I love the kale + avocado salad. So good. The coffees are really nice as well, the baristas do a good job here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this is officially my new brunch spot. steak n eggs for $11, and if you ask nicely they'll bring out a cart with 4 delicious salsas. rancheros are good too. chile relleno is a little bland for my taste, but is nicely presented and feels healthy. their mexican coffee is also legit. i definitely need to come sometime in the evening to hit up one of their spicy jalapeno margaritas, but the brunch is just too delicious and reasonably priced so it always seems to be an early-time place for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.365183081; Sentiment_Subjectivity (from 0 to 1): 0.665656566 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Who knew this place even existed? Not me, for sure. But it's a good place to know about, if you're ever in the mood for good beers (and there are a lot to choose from) and in the area. Just be ready for a big tab at the end of the night, the prices are on the high side.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.376666667; Sentiment_Subjectivity (from 0 to 1): 0.538148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An all time favorite Italian spot in the W. vill. Family run, open faced kitchen and the smells mmmmmmmm I have had the chicken parm, veal chop, veal scaloppini, lobster canaloni, lobster ravioli, ravioli in sage and brown butter, and roasted rack of lamb, all were muy muy beuno!!! The house red is a very solid red table wine. And whenever its someones Birthday, they shut off all the lights and play happy birthday in italian over the radio, maybe a little corny but I think it adds to the charm. Small place, only about 10 table, get a res or you could be waiting a while.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.011458333; Sentiment_Subjectivity (from 0 to 1): 0.456666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for brunch today. My friend summed up Cafeteria pretty well when he said, "It's nothing special, I just like it because it's a block from my house." One thing I really liked about Cafeteria was it's minimalistic, bright white design that made me feel really relaxed - I couldn't help but think that Cafeteria would be a wonderful place for hangover brunch. To top it off, all the waiters/ hosts here were gorgeous, more so than at Coffee Shop Union Square, this paired with the design of the restaurant gave off a very futuristic feel. When we arrived, the wait was already one hour long, and instead of have you wait outside or tell you to come back, they try to herd everyone into this tiny space between the bar area and a wall that separates the bar from the restaurant. This was a stressful situation as staff would come around roughly every few minutes and tell everyone to scoot inwards more, even though there was basically no room left and at times, especially when people shuffled, I was forced to stand around 2 inches away from someone's face. The food was mediocre brunch food at a moderate price (most between $11 - $13). We ordered their most recommended dish, the Mac Attack, and chose the gouda & bacon, the truffle oil and the cheddar and fontina. Although they were good, I didn't think that any of them were particularly spectacular. Obviously this is better than Kraft's instant mac & cheese, but I wouldn't say it surpasses your run-of-the-mill mac & cheese at any given restaurant. I ordered the salmon eggs benedict and my friends got the chicken & waffles and the bagel and lox. The chicken and waffles were HUGE!!!! My friend really didn't like the spicy sauce that they came with it, but I thought that overall the dish was pretty good. Nothing special about the bagel and lox or the eggs benedict. One thing though, the service, whether for ordering or for paying, was EXTREMELY slow. I understand that they are busy, but perhaps they just do not have enough staff? We attempted to flag down the staff a few times both to order and to pay before someone actually came to the table. In other words, I wouldn't recommend specifically making a trip to try Cafeteria, this really isn't that kind of restaurant. I would describe it as an upscale diner with average food. However, if you're in the area and you're looking for a place for brunch, Cafeteria is definitely a solid option.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.171638626; Sentiment_Subjectivity (from 0 to 1): 0.498436994 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this restaurant - simple, fresh and delicious food, combined with fantastic service.  I recently moved away from the neighbourhood, and am already missing my weekly Malatesta fix! The spaghetti is my personal fave, although you can't really go wrong with the menu. Go - you will not be disappointed!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.05125; Sentiment_Subjectivity (from 0 to 1): 0.560714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfect summer evenings are to be had here at this very welcoming outdoor bar.  Our party of 8 arrived around 11 p.m.  and found a group of empty tables.  As some of us began to gather chairs, a couple of us went up to the bar for Sangria and fries.  It was a warm night but the breeze off the Hudson River made it all very comfortable.  I love the flickering lights on every table and the absolute chill environment.  It was a perfect evening for us to enjoy great conversation and the gorgeous view.  Can't wait to come back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.485; Sentiment_Subjectivity (from 0 to 1): 0.670833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is so crisp. It feels so good to eat it. It feels like eating a bowl of candy. The first time I been there was an exiting one!!!!!!!!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.45 [/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 doesn't get much better than this! The Crabby Shack is the perfect spot to bring a friend, a date or even your entire family. I love the warm and welcoming environment, owners Gwen and Fifi are two sweethearts and the food is beyond delicious. I have become a crab lover thanks to their crab roll.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.560714286; Sentiment_Subjectivity (from 0 to 1): 0.646428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lovely, inviting café, fresh pastries and good coffee! Also this place has prices that are low, it leaves you kicking yourself for paying $6 for that subpar bagel sandwich at the deli down the street. Ordered some pastries and coffee for my family before flying out of NY and was so glad it was across the hotel we were staying at. We ordered a drip coffee, latté, Argentinia Empanada, Blueberry and 7 grain muffin, Caprese and Turkey/ Cheese mini sandwich and two Guava and cheese Chaussons. The latté was brewed well, lovely latté art too. The Caprese sandwich was decent, Blueberry muffin was soft, moist with hints of Cinnamon. The winner was the guava and cheese pastry that was warm, flakey and sweet. All tasted fantastic with the coffee. Each pastry was warmed up-optionally of course, the coffee was good and strong and the service was quick, friendly. Such a great environment to sit around to lounge in and sip coffee, it's clean and designed similarly to Shake Shack ( black, wood grain, lights ). Great prices for good quality, a must and definitely better than most of the shops on the street without the upped touristy prices.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.379111111; Sentiment_Subjectivity (from 0 to 1): 0.592888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Set sail, I used to duck shots, but now I eat quail... Went here with a few friends on Jay Z's birthday... after the horribly long wait to get in, we waited about an hour more for our food to arrive! But it was certainly worth it! I ordered the quail (in honor of Jay Z's big 4-0), which was nicely done. The portion was just right, and the vegetables complimented the meal nicely. My table also split a small piece of cake for dessert, which was a nice end, but we were a little grouchy, as it took another 40 minutes to get our waitress to notice us. (This was not her fault, the place was packed and she literally couldn't see us). Overall, great food, nice atmosphere (though gets pretty packed), but expect a wait! We planned for an 8pm dinner and literally did not leave until midnight (after getting seated at 9pm).  A bit excessive, but at least now I've enjoyed a meal at one of Jay Z's favorite restaurants!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.246616541; Sentiment_Subjectivity (from 0 to 1): 0.604511278 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 gauged advice from friends (who I met on Yelp years back in 2006, and whose palates I've learned to trust over the years) on what I should do for my gustatory adventures when I took a random trip to New York on a random weekend to take a break from the monotony of Longwood Medical Area in Boston.  That area sucks in terms of food options.  Also, it has been days and months since I had any proper pork or meat products, especially since we just had a final on protein and fat metabolism.  I was craving for some quality swine. I got a couple of direct messages and tweets that contained the word "Ippudo".  Omid T specified--Get the Akamaru Modern with the Kikune (braised pork belly).  I jotted this down on my list of "TO EAT" and faithfully followed through. I lucked out that Sunday morning and was told that the wait was about 30 minutes.  When you enter the establishment, the outside is separated from the inside by this thick canvas curtain.  The reception room is also a small bar area.  The counter is made of some form of plexiglass atop those dry squares of ramen that we all know and love/hate from college/broke dayz.  The back of the bar is adorned with different types of ramen bowls.  The hallway leading up to the dining area is lined with mirrors.  As soon as you pass that, you hear a clamoring from everyone welcoming you into the space!  It really worked up my appetite even more. Since I was dining alone, I sat among lone diners on this fancy, picnic like table.  I ordered what I had on my notepad.  The friendly stranger in front of me started chatting about what I am about to have.  He mentioned how he frequents this place almost every week.  Ahhh regulars---you know it's good when you got addicts like these fessing up to their vice. When I finally got my meal, I took my first spoonful of the richly complex but delicately balanced flavored Akamaru Modern ramen with the braised pork belly.  THe belly was topped with what seems to be the sesame oil it was braised in. Oh my lord.  Comfort and luxury in this bowl. I imagined this must be how it feels like to sleep on a tempur pedic mattress with a down comforter and thousand-thread count Egyptian cotton sheets, as your grandmama soothes you with her lullabyes.   This scrumptulescent bowl of bliss is a huge "EFF YOU" to what we just learned in medical school.   Fast-forward in the spring: an old roommate and her beau were visiting NYC.  I was in New Jersey for a baby shower and just headed over to the city to meet up with them.  There were mad delays on the Metro due to construction, but I get to Ippudo before my friends do.  I put us down on the list, but the wait was going to be for 2 hours.  ACK!  My bus back to Boston was going to leave in 1.5hrs!  So when my friends finally got there, I told them.... EFF IT, if they are down to wait 2 hours (since we all took all the darn trouble to meet up for the chance of having Ippudo ramen anyway)..... then i SHALL GET ON ANOTHER BUS!  We all LOVED it.... we also had a really cool server who gave us tips on lipstick color blending. lol. random.  We sat in a more chic area in the back.   When we left, everyone bid us an "ARIGATO GOZAIMASU" farewell! It sucks that I had to pay 3X the regular fare for the bus trip home.... but having the SPICY Akamaru Modern with Kikune this time was well worth the trip and the wait. =8); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.032744108; Sentiment_Subjectivity (from 0 to 1): 0.424017703 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was a great evening had by all!!!  First of all you must make a reservation if you want to see the flamingo dancers on Thursday or Saturday evening. The décor is rustic but clean and looks very authentic, with small wood tables, a large wooden bar and other old world wood items to make it feel like an old wine cellar...I like it!! I went with a group of six and we tried several plates, and all of them were very tasty.  I was pleased to see that they make small plates and large plates of each item.  If you're with a large group get the larger plates it a much better deal and you can go back for seconds All I will say is get a pitcher of SANGRIA....don't short change yourself on the experience!!!!! Now the best part of all was a mini Flamingo dance show....I was totally surprised and thoroughly entertained!!! Two female dancers & 2 musicians turned everyone up and brought them to their feet.  It was an awesome job so much so I want to buy the unattractive shoes and learn how to flaming dance A+ for this place I will  be back....DEELISH!!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261857515; Sentiment_Subjectivity (from 0 to 1): 0.431428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love you, Saraghina. I want to. Update: I went back and tried the pizza; it was delicious. Seriously. My partner and I split some calamari and a half-liter of house wine, which was great. Then we both got food poisoning! Both of us were unbelievably sick for almost a day afterwards. So, that sucked. I would have overlooked it if it was just one of us, but seriously. Clean up your kitchen and store your seafood responsibly! It's hard to keep eating your food when it doesn't stay down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152425044; Sentiment_Subjectivity (from 0 to 1): 0.600485009 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was good but overpriced.  After our meal, the waiter came around with a tray of dessert, so we got a chocolate mousse cake, and it turned out to be $12!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.875; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such a great restaurant!!! The decor is very tasteful, and gives an intimate feeling. The service was excellent. The food was amazing. They carefully choose their products from local farmers. I had the dandelion greens and the grass fed beef burger. As for desert I had the strawberry tarlette, also taster the salterd caramel brownie. Everything was sooooo good. Very simple dishes, but perfectly executed. And great quality ingredients in your body.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.655357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took my second trip to NYC this past February and I have to say that this pizza joint wasn't even on my "to visit" list, but it was on one of my friends so we decided to make our journey.   When we got to the restaurant, I was not impressed by the line or the looks of the place, but I do love those "hole in the wall" type eateries.  After debating to wait in the line for a pizza pie, we decided to check it out. I did read about Grimaldi's thru Yelp so I just wanted to see what all of the buzz was about..... After waiting about 35 mins in line we finally got the "go ahead" to come in and take a seat.  Our party had 9 people and they accommodated us just right...... The vibe in the restaurant was great and the smell of the fresh pizza coming out of the brick oven was intoxicating.  They have a variety of special beers to wash down the taste including other non-alcoholic drinks.  The pizzas only come in pie sizes and they range from medium to xlarge. We ordered quite a few pizzas including a reg cheese, pepporoni, and a combination pizza...... I have to say that when we got the pizza, I was very hungry and did my best to eat it as slow as I could to enjoy the flavor.  The pizza was amazing and the best I ever had... Every ingredient that they use is at the cook station where they make the pizza in front of everyone.  The service was good, but not wonderful, but everything combined was worth it.  The prices are good too. For any tourist, this is a must-eat restaurant!  Then you can walk the Brooklyn Bridge on the way back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.220304233; Sentiment_Subjectivity (from 0 to 1): 0.498792989 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: -Gasp- A coveted 5 stars from Jeremy S! Yeah so Frank Bruni beat me to it, dropped in on this little French restaurant and blew up their business (in a good way). Awesome. Chef Pawlicki certainly deserves his recent success. I had the chance of meeting Mr. Pawlicki and it's amusingly clear why he is a winner, he's an endearing obsessive. After learning I was the CEO of Yelp he spoke a mile a minute about how Yelpers are too hard on him and our advertising program is too expensive. Both hilarious in context, he has fantastic reviews and a 4.5 star rating (rare in Yelpland) and he is also a Yelp advertiser (so I guess he doesn't think it's *that* expensive!). So yes Chef Pawlicki is intense, but fortunately he channels most of this energy into his delicious creations. I started with the calamares sautes provencale (sauteed calamari with garlic, parsley olive oil bread crumbs, tomatoes and mushrooms). The calamari was meaty (not overly chewy) and the tomato and mushroom sauce made my tongue sing. For an entree I fell back to my old standby, seared duck breast which was executed perfectly. Since I was on a roll, I couldn't stop without dessert so I ordered the fondant au chocolat noir. I don't even need to describe it, just picture yourself dying and going to chocolate heaven... Our sweet French waitress noticed we didn't BYOB a dessert wine so she surprised us with a wonderful port given gratis (at this point she had no idea we were connected to Yelp). What a nice gesture! So in sum fantastic quality and value (partially due to free corkage/BYOB) paired with caring service. You really can't go wrong, just don't mention you're the CEO of Yelp if you can help it ;); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25734747; Sentiment_Subjectivity (from 0 to 1): 0.639732143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bbq, reasonable prices. Loved the beef ribs. The Ice Tea was very good. Reminded me of The Strand in Astoria; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6275; Sentiment_Subjectivity (from 0 to 1): 0.695 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Showed up without a reservation on a Saturday night, we ate at the bar. The service was great, the food was amazing, and the prices were reasonable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.533333333; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is incredible for someone with a lot of food restrictions like myself.  I've made the trip from the UWS a few times and will continue to make the trek.  It's worth it. Everything is gluten free. They don't use cane sugar - they only sweeten things with coconut sugar, honey, or maple syrup. Most things are dairy free. Get the full story here: hukitchen.com/food.php; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33125; Sentiment_Subjectivity (from 0 to 1): 0.59375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is great, but really the prices are a little on the expensive side. Also they have one of those guys who you have to pay to squirt soap on your hands in the bathroom. Minus two stars for that antiquated custom!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0375; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: All you haters will complain about the wait but seriously- it's worth it. I was number 145. and when I walked in they were on 123. But they fire off those orders like no one's business. boom, boom, number after number and less than ten minutes I was eating delicious burrito like Indian food. so the na'an? wrapper isn't really na'an. Think chalupa wrapper from taco bell. a bit fluffy, but mostly tortilla.  They're not saucy and therefore extremely easy to eat as finger food. I was expecting curry sauce to slowly ooze out of my wrap and the wrap to be soggy to the point of dissolving back into the constituent flour and yeast. nope! perfect, even after an impromptu meeting delayed me eating for almost half an hour! perfect. downsides: they're small. like everyone here's said. order two. unless you're feeding your six year old kid. seriously, maybe then one and a half's enough. I had a potato and egg. It was good, but not very eggy. also, not spicy at all. the chicken was very spicy. but it was delicious. I know you could get a similar chicken on a pita from a vendor for maybe a couple dollars less (less than 3 bucks outside, 5.25 in here) but the seasonings and the onions are perfectly balanced. really great. so I have a new lunchtime favorite. in case you can't tell from my glowing review. credit card minimum is 20 bucks! what's that!? c'mon!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.190247692; Sentiment_Subjectivity (from 0 to 1): 0.483996212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sandwich literally ever on the face of the planet eat this; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 have been to Chinatown restaurants many times before but never to this spot. It was a real experience--before you sit down they bring you glasses of hot tea and dealing with the waitress was also an experience--she told me I would not like a certain dish and generally she waited on us with a rather blase attitude. We had platters of chicken chow fun (which was not on the menu, only beef chow fun) and a lighly breaded fish with string beans and ordered an appetizer of what we thought was going to be a stuffed crepe, but was actually 3 vegetable rolls (which came after the entrees were served)--it was dirt cheap even though they added $1.50 because I wanted chicken instead of beef and gravy with the dish--still the meal was less than $20 for 2 persons. The food was tasty and very filling and we enjoyed it. The mistake was using the downstairs restrooms--we have been in some bad ones in Chinatown (and also in China), but these rank up there in the category of FILTHY restrooms!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.058312448; Sentiment_Subjectivity (from 0 to 1): 0.565455305 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Chicken Parm!  Pricey. Need to make advance reservations. Great for large parties. Good location. Bread is amazing. Same for steak, salads, etc.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309183673; Sentiment_Subjectivity (from 0 to 1): 0.664795918 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been coming here pretty regularly as it's a pretty perfect spot for job-hunting, and keep planning to write a review. Had just decided NOT to write one because of the spottiness of their music selection (my friend in LA and have been exchanging emails with the subject: oh, this coffee shop's music...) -- didn't want to say anything negative in this review because they deserve the best. But this morning, outta nowhere, they play three winners in a row (Wilco, Manu Chao, and Chet Baker)! The Mad Men theme song that came on the other day has been officially stricken from the record, as has that entire day of 'indie hits of 2004.' Major, eclectic strides have been made. No no, but for serious though: gorgeous and airy space (any reviewers mention the huge garden thing hanging off the wall yet??) and really attentive, sweet counter-staff. Someone here has figured out both the perfect A/C setting (not as easy as it sounds) and just the right number of Febreeze puffs to make the HUGE bathroom smell pleasantly flowery. The espresso and tea drinks (hot and cold alike) are fantastic - huge selection of unsweetened iced teas - and all the food coming out looks divine (shhh, I snagged a piece of toast abandoned by a tablemate. crusty & chewy). Have had my eye on one of those flatbreads, maybe when I emerge from unemployment I'll treat myself. Is that Yves Montand's version of "Somewhere Across the Sea" I hear? Or Charles Trenet's? Either way, it's the first time I'm hearing French music and NOT wishing I were in a Parisian cafe -- couldn't be happier than I am here at Milk + Honey. (lightning fast wi-fi and people bring in their cute little kids. nice neighborhood spot); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24281874; Sentiment_Subjectivity (from 0 to 1): 0.705453149 [/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 wish I could give this place 3.5 stars. We came in for an early dinner and had a decent experience. The red, white and blue special is a great deal! However, the lobster roll was not good at all. It was flavorless and disappointing. To sum it up, Fish is a great spot for some cheap and decent oysters paired with an adult beverage of your choice but that's about it.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.164652015; Sentiment_Subjectivity (from 0 to 1): 0.46959707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was hoppin' on a Saturday afternoon, but the wait felt quick (~25 mins). The decor/design of the interior was pretty cool. I got the salmon hash. I wasn't a fan of the dish, it wasn't what I expected. The dish had a little too carb-y for me and not enough veg. Service wasn't terribly friendly, just take-your-order-and-serve-you-and-get-it-over-with attitude.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.145833333; Sentiment_Subjectivity (from 0 to 1): 0.578571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When you first walk in Sripraphai, you would expect it to be another "fancy" thai restaurant that would charge a pretty penny for their dishes. Most of people dont' know the fact that Sripraphai has been around for many years after being a hole-in-the-wall place and their renovations of the place make it look like now. They still keep their delicious dishes without the price tag that you would expect to pay. My Thai friends and I find ourselves visiting this place once a week to fulfill our Thai cravings. I absolutely love their Papaya Salad and their Beef Salad. Caution to anyone that has not tried this place (or any authentically prepared thai food) that those 2 dishes will be very spicy! They look refreshing and mild but once you take your first bite, your mouth will be in a ball of spicy goodness! Their roast pork over rice with gravy was yummy as well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.439583333; Sentiment_Subjectivity (from 0 to 1): 0.606666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The dream; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great service, food, drinks, people... there really isn't much bad to say about this place.   I love the Daisy eggs on the brunch menu... and the black bean dip is awesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286666667; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's been on our "let's try someday" list for a while now.  And finally, tonight we headed to the upper west side.  Serendipitous that they had recently extended their unlimited Sangrias from their brunch to dinner menu as well.  Lucky me!   The lighting and ambiance of the back dining area is really nice.  The lighting is soft yet bright at the same time (I can still see what I'm eating!).  Atmosphere had kind of that Cuba/Casablanca feeling to it - makes you feel like you should be on vacation.  The bread and bean dip is dangerously good.  Can't beat having the cheese subtly baked right into the bread.  I probably (and did) eat the entire cigar box full of them (nice touch with the cigar box as bread basket!).  There were 6 different Sangrias to choose from.  No skimping on the fruit here.  Sangrias were not the typical red or white wine varieties, but ones with rum and other spirits.  Also, dangerously good.   We order the seafood paella and the Cubano classico.  Paella was ok.  Unfortunately, just ok.  The "seafood" flavor was a bit too musky for my taste.  Not enough chorizo to balance it out maybe?  The Cubano classico was served on an old school lunch tray with each of the sides in a separate compartment.  The pork was tender and cooked down where the flavor and texture was near perfect.  Side of fried bananas, a polenta like (tamale like) corn meal, black beans, rice, and salsa/avocado were great accompaniment. With no room for dessert, we promised that we'd visit again for Sunday brunch. To top it off, the service was quite good.  Definitely one of the better serviced meals I've had in New York.  The waiter folder our napkins after each time we got up and even brought us a big to-go box of bread as we left since we loved the bread so much.  Nice touch and well appreciated!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241464818; Sentiment_Subjectivity (from 0 to 1): 0.506447983 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dining room is teensy, and there' s only one guy working the room. Although he was a bit overwhelmed, he was super nice and as attentive as possible. I came for brunch, and the food came in manageable portions: a few bites of home fries, a bit of salad, two eggs Florentine. The yolks of the eggs were poached just right, a little runny, but not so runny that they were intruding on my home fries. This is a sweet little spot. The food is very good, but not out of this world. I think some people would really go for the cozy atmosphere, but keep in mind that cozy can also be another word for cramped.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.150289116; Sentiment_Subjectivity (from 0 to 1): 0.666598639 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bought a yelp reward so decided to get some food & drinks. They have decent food for a bar, the pork buns were good. It's just a bit awkward to eat there on a busy night when people are standing all around your table dancing and drinking.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.091666667; Sentiment_Subjectivity (from 0 to 1): 0.641666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is A+. Great service. Possibly the lowest prices of any restaurant of this quality in manhattan; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm here to talk about more than just "the corn"  (so good though).  The grilled steak, Cuban sandwich and pork sandwiches are excellent.  The pollo mirador (sauteed chicken breast in a roast garlic lemon sauce served with white rice and spinach) and the ensalada Adela (goat cheese, roasted tomatoes, grilled portabello served over mesclun with a balsamic vinaigrette) are really good also.  Good vibe, very crowded though.  Definately worth trying if you haven't already.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.388888889; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried one dish from almost every section in the menu. Meat is delicious. But I'd like it better if I could select how its cooked. Lamb was very well done (almost charcoal) which I usually don't prefer. Also they were a little bit sweet for all of us (you may need salt a lot). Anyway, they still deserve 5 stars. Prices are also another plus but the portions may be small for an average New Yorker.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.149873737; Sentiment_Subjectivity (from 0 to 1): 0.494949495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went for my friends birthday and did not want to return.  Yes, the food is good, but it's not the best.  Yes, the long speech of specials are nice.  But the waitstaff was pushy about the wine which bothered us since most of us drove there and wasn't drinking.  They put a glass in front of me and poured some of the wine even though I said I wasn't drinking.  What a waste.  And since they were out of the bottle my friend ordered, they brought out a more expensive bottle and tried to sell it. After asking for the price on one special, ($26) the waiter gave us a scoff when we decided to order something less expensive. "Oh, THAT's fifteen."  Yeah buddy, we have the menu right here, WE KNOW its $15.   The manager explained to my friend that the waiters were just doing their job at being very attentive and dismissed her claim that the waitstaff was being pushy.  Whatever, none of us will go back anyways.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.217585034; Sentiment_Subjectivity (from 0 to 1): 0.490986395 [/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: Randomly stopped in here to grab a drink before heading to the park and so glad we did! The food was delicious and the service was even better. We ended up sitting at the bar as our intention was to only have a couple drinks and perhaps share an appetizer. Gary was our bartender and he was just amazing. He was engaging and more than willing to guide a couple of tourists in the right direction. Overall a fantastic experience and by far the best restaurant experience we've had so far.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.350714286; Sentiment_Subjectivity (from 0 to 1): 0.705714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a very Classy spot. If your looking for a upscale place, with a very "NY" feel and plenty of drinks then this is a good option. This IS NOT the place for a QUIET intimate dinner. Its actually kind of loud and more bar like. the food is good, and the staff was also good. I would advise making reservations between 8pm-9pm and after dinner hit the roof top for drinks. All and All I give it 3 stars. I ordered the $45 Rib Eye and it had more fat on it then a rib eye from Longhorn. I mean for $45.00 it was definitely to much fat on there. But again the atmosphere of this place is Fun, Hip & Sexy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.34484375; Sentiment_Subjectivity (from 0 to 1): 0.582552083 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ok. I am not a fan of over priced soul food that is decent. The service is sup par at best. The quarters are cozy and that's me being generous. If it's your first time in New York or you're looking for a quick bite, I recommend a place where the waiters are more attentive.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.342929293; Sentiment_Subjectivity (from 0 to 1): 0.544949495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We had reservations for 8pm and we were seated just before 8:30pm.  Considering this was a Saturday night and a person in the party was late anyways, this was no big deal. The waiter was very friendly and knowledgeable. The drinks were STRONG which is a good thing.  I had something with pineapple which was delicious. The food.... well, it was tasty, but not worth the wait.  We waited for over an hour for our food, and the place was not even filled to capacity.  This is why I deducted a star. My food came out cold, but oh so tasty.  My friend's burger was well done, but it was juicy according to her and she was content. I got ribs/brisket/pork butt combo with fried okra and mac n' cheese.  The brisket was good, the ribs were okay... a bit tough for my taste, but well seasoned.which is why I didn't add back a star.  The sides were good.  The okra was not slimy like some places make it.  Rather, it was crunchy on the outside (not greasy) and perfectly cooked in the middle. The mac n' cheese was good with stringy white (chedder) and breadcrumbs on top.  This was good and I would definitely recommend this. I will give kudos where due as the waiter was truly apologetic for the wait (which you have to blame the kitchen, not the wait staff) and the manager gave us desserts on the house. I had the peanut butter pie which was PHENOMENAL!!!!! Honestly, if in the area, I may see if I can get a piece of that pie to go and eat in a nearby park, but I don't think I would return for another meal and wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.314277778; Sentiment_Subjectivity (from 0 to 1): 0.529666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there with a party of 4 and sat outside in really nice weather for dinner.  Food was FANTASTIC - I cannot recommend the risotto highly enough and the mussels were delicious.  Wine selection was great, and the service was excellent - the waitress was all too happy to help us pick drinks and appetizers, and direct us (a bachelorette group) to a fun place afterward.  Overall, great dining experience, prices are a little steep but pretty standard for high quality dining in NYC - bottom line, will definitely go again soon!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.354264706; Sentiment_Subjectivity (from 0 to 1): 0.593529412 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here last night with a group of 5.  We really enjoyed the Tapas Sampler.  The portions are really generous and everything was super tasty.   The table beside us ordered the sangria, and it came with a GIANT wooden spoon. They also have XX (Dos Equis) on tap, which is nice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.519047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, hate me.  At 6:10 p.m. on a Wednesday night I waited 15 minutes and got seated for a party of two.  10 minutes after I checked in, the wait time for new signees was already up to 45-60 minute waits.  So go early on a weeknight... beat the after work dinner crowd! Pork Hirata Buns - 2 for $9.  Good, flavorful fatty pork with lettuce and some mayo.  A little pricey (heck, everything is a pricey here for the quantity you get). Hirata Chicken Wings - 3 for $7 (they made us 4 pieces for an additional charge).   Sweet black pepper sauce that made my tastebuds jump, fried to the perfect crispness, loved it.  But more than $2 per wing.  Worth trying, but Bon Chon is a much better deal.   Akamaru Modern - $15 with bamboo shoots (additional $3) with Kae Dama (extra noodles $2).  Tonkatsu soup with miso paste, pork, and garlic oil.  A very good ramen, but I can't say for certain it's the best I've ever had.  I would've probably been better off not ordering the additional noodles because the extra ones I received were undercooked and a bit stiff.  Wasn't fully absorbing with the soup.   Karaka Miso - $16.  My friend ordered this and I got a taste.  It's their version of spicy miso with pork.  No complaints from me.   The decor is muted lighting, trendy, busy.  We got seated at a communal table with two other couples we didn't know.  The service is attentive and efficient.     If you ever come to Los Angeles, I'll introduce to you some ramen places.  The best ramen in the city is probably at Santouka, which ironically, can be found in various Japanese supermarket food courts.  For under $10 you can have a the thickest, tastiest shio broth to go with your noodles.   Or you can wait at the Ippudo of Little Tokyo, Daikokuya, where the wait is always an hour (unless you go at 4 in the afternoon), but you can get a ramen and pork rice bowl combo for about $15.  And the chain Shin Sen Gumi isn't too shabby either.   Anyhow, slow your roll New York.  Is Ippudo really worth the hype? No.  But are the noodles good?  Yes.  I'd wait 30 minutes for it, but not 75 or 120 minutes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222601732; Sentiment_Subjectivity (from 0 to 1): 0.500538652 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice upscale brunch alternative to Colonie on Atlantic. Excellent mussels ...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: THE BEST place to go to after a late night of partying for the locals. The BBQ meats are still available and still as tasty as if you just ordered a roast pork and roast duck over rice for lunch.  A wonton mein always hit the spot when you don't want anything too heavy and congee, which is typically only available during the day is available when you want that salty goodness of preserved duck egg and shredded pork. Why this deserves 5 stars as opposed to 4 is the CONSISTENCY of great food throughout the day and onto the late night.  Cheap, fast, and deliciousoso.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254545455; Sentiment_Subjectivity (from 0 to 1): 0.568181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 split one Maine style lobster roll at the Brooklyn Flea Market, after a friend recommended that I try it. Just as good as the ones I had in Boston. Delicious. Funnily enough, my lunch companion held the lobster roll while waiting for me to get my grilled cheese sandwich. A handful of people passed by and asked, "Where'd you get that? Is that good?" and went to get their own. I'm excited that they're opening their own food truck in the DC area this week.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.567857143; Sentiment_Subjectivity (from 0 to 1): 0.778571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Shut the front door! i Would say "amazeballs" but I'm steering clear of that phrase these days. BEST DUMPS EVER.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.341666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well worth the wait! Rainy Friday night, but still had to hang about an hour or so before a table for two  was ready for the lovely wife and I (we were sorta celebrating her b-day). Very cozy, yet trendy place. The lobster bisque was amazing and the "angels on horseback" made my wife an oyster fan (she used to hate 'em). On to entrees, sorta b-day girl had the blackened catfish and enjoyed it immensely. I went to town on the lobster feast (or fest) plate and really got down and dirty.....corn on the cob, fries, steamers, and cracking, crushing and pulling on the main event. MMMMMMMmmmmm, was in seafood heaven. So if you're cool with the wait, and if you're eating anywhere in this area you better be, I highly recommend this restaurant. A little pricey but nothing ridiculous......cant wait to go back and take advantage of the lunch specials!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.17492284; Sentiment_Subjectivity (from 0 to 1): 0.59095679 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 meal I've I had in the last 6 months! please open one in L.A.!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.288888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've come here a couple times for lunch takeout and dinner with friends. It's a nice quiet place to catch up with someone you haven't seen in a while though the booth tables are strangely wide and make you feel like you're sitting very far a part - it's not a place you can put your heads together. The flurry of waitstaff were attentive, if sometimes confused it seemed as to whether we had been or were being served and by whom. Here's my issue: the food is pretty decent to my admittedly non-expert tastebuds, but I don't think it's superior to cheaper Indian restaurants I've been too. I don't like that I spent $30 for what amounted to just one  entree, one piece of naan, and a mango lassi. It's not crazy expensive, but it felt like a bit more than I want to spend repeatedly for an experience that was less than transcendent. The lunch deal is actually pretty reasonable though considering how much you get. About $12, I think, and you get an entree, appetizer, naan, and rice; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.142941176; Sentiment_Subjectivity (from 0 to 1): 0.645098039 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went for my birthday...awesome sliders, fun place to bring friends.  Small inside but worth the wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.233333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A very, very good restaurant. I ate here with a group of picky and not so picky eaters. There was something for everyone. I would recommend ordering off the bar menu for a personal appetizer- the dishes are really quite creative and very tasty! The uni, razor clams/mussels, and burrata are my favorites. For the main courses, the Orata is excellent, as is the halibut...and probably most everything else. I saw many people ordering the kale/egg/mushroom paella. Do yourself a favor and order something slightly more interesting, you won't be disappointed. The waitstaff is excellent and the atmosphere is fun.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.398333333; Sentiment_Subjectivity (from 0 to 1): 0.561666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dine here every week. this is our favorite dinner haunt in NYC (but  we are biased as we do live around the corner). Their whole fish is divine- it reminds me of the seafood one can have in the Dalmatian coast.. The place is a unique, idiosyncratic ambiance that transports you to Europe.  I don't want to publicize this place too much as I want it all to myself... but I want them to do well. Thumbs way up.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282272727; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A lot of people come here for the hand-drawn noodles and even hot pot but this is my go to spot for pan fried dumplings.  Value aside, their dumplings are better than any place I have tried in Queens.  Even when they were a hole in wall at their old location on Whitney Ave, this restaurant did not disappoint.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 giving them a 2 because of good service and the food tasted pretty good.  However, BOTH my husband and I contracted food poisoning from here.  I was in the Emergency Room and hospitalized.  My husband is an airline pilot and became extremely ill mid-flight.  Unacceptable.  I ate the pulled pork sandwich with sweet potato fries, he had the white fish with rice/veggies.  Clearly not high risk foods, or even the same meal: the ER doctor said we had both contracted bacterial illness that was most likely from a sick employee, unwashed hands, or improper food prep.  The manager apologized to me, and I was not going to write a review....but then I was hospitalized.  I really liked this place while we were in there, but I just cannot risk a similar situation again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138901099; Sentiment_Subjectivity (from 0 to 1): 0.620934066 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Three words: Black Pudding Waffles.  It's one of my favorite brunch dishes.  I also love the tea-smoked salmon. The place is beautiful, a bit trendy, but not at all pretentious.  I've been numerous times and it's always an ideal place to take visitors.  The waits are long but it's worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313333333; Sentiment_Subjectivity (from 0 to 1): 0.663333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: super relaxed cozy dive, good to chat in; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.277777778; Sentiment_Subjectivity (from 0 to 1): 0.672222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came in with high expectations for the place and the food in general is good but nothing that i can't find in other restaurants.  I would come back if invited by friends, but i wouldn't specifically come back.  That said, i can only speak on behalf of what i had for brunch, maybe dinner service is much better.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.160625; Sentiment_Subjectivity (from 0 to 1): 0.439375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty good but not the best I have been to.  Best thing to do is split a Bandeja Paisa.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.7375; 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: This might be my favorite restaurant in the city.  The only reason it gets 4 stars is because sometimes the service isn't prompt but service shouldn't be the reason one comes here.  The food is OUT OF THIS WORLD. Everything is cooked to perfection. It's like straight out of a hole-in-the-wall in Japan.  My favorite is the kobe beef tongue.  Phenomenal.  Other things I usually order are the Totto salad (amazing dressing), gyoza, tsukune chicken meatball, eggplant with miso (although sometimes they put a lot of miso paste on...which can easily be scraped off), and grilled rice balls.  A lot of people really like the yakitori chicken parts (neck, tail, etc) and they are quick to sell out.   There is almost always a wait so I would recommend making a reservation.  You can reserve a table up to 7:00pm.  They don't take any reservations after that because the place is small and there are just too many walk-ins.  If you don't reserve or want to eat before 7:00pm, you will have to wait a good 45 minutes to an hour.  I would really recommend going early.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.163425926; Sentiment_Subjectivity (from 0 to 1): 0.603240741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the new renovation! Fun ambiance. We sat at a communal table. The first guy was chatty and interesting to talk to. The second couple that sat next to us ended up being obnoxious tourists. So that kind of ruined the end of the meal. The food was good, but a bit basic. I like that there is a moderately priced, decent place in the neighborhood....for that I give them a 4 star!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269065657; Sentiment_Subjectivity (from 0 to 1): 0.423295455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love Thai food.  It's the perfect medium for a voracious carnivore and a timid pescatarian.  This place definitely wasn't our first choice, but thanks to  good Yelp reviews (which is really how we pick anywhere we're going to eat - I think our non-Yelp friends hate us for it), we made our way to  Pinto.  Don't walk by the place!  We went on a Wednesday night around 9 pm.  We waited at the bar and each got a drink - me the "white chicks" and him the strawberry mojito - as we looked over the menu.  My drink was dark chocolate sauce mixed with vodka and another liquid which I forget. It was like alcoholic chocolate milk, but not as sweet.  His was a regular mojito, and really tasty. As for the food, we got shrimp popcorn and tom yum goon for appetizers and pumpkin curry for entrees. Omg this was like a party in my mouth.  The fried shrimp popcorn came with a chili mayonnaise (I think that's what it was) and you couldn't taste any oily residue, and the shrimp were de-tailed and juicy.  The tom yum goon soup was really yummy!  The bowl came with the "dry ingredients" and then the server poured the soup from a kettle into the soup.  For entrees, I got one of the Fall specials - pumpkin curry.  I got to choose my own meat (tofu counts) and omg it was delicious.  The chunks of tofu were HUGE and expressed the flavor of the sauce very well.  I mixed my whole dish with rice, but the sauce was still potent.  I was smiling like a fool the whole time I was eating because my taste buds were so happy!   The wait staff was very attentive, and were dressed to fit the atmosphere.  Their outfits were really nice, more...Express model than waiter at a Thai restaurant.  The napkin comes with a single fork tied with a little black ribbon that says "Pinto".  The decor was just very calming, honestly.  All the following is irrelevant to food, but the experience counts, too!  I'm definitely going back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.198756266; Sentiment_Subjectivity (from 0 to 1): 0.508101986 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just finished my roast pork over a small rice. And I want more. They seriously gave way more than I had expected (after looking at all the pictures on yelp of it). I don't even know how to make a profit from $3.50 because it was seriously DELICIOUS. I waited in line for about half an hour to get my hands on one of these yummy small lunch boxes and it was totally worth the wait. I could smell the char siu aroma as soon as I stood outside the store. And my hunger only grew as I got closer and closer to the front of the line. I took the Chinatown van home and I could smell the char siu aroma floating through the van. I couldn't wait to eat it! At home, I started to drool just opening the container. The guy packed the char siu, some rice and some cabbage into that small container. I emptied it out into a large bowl at home and it was 4/5ths full! It was delicious. I will definitely come here again!. Did I mention that the cook drizzles some chicken soy sauce and char siu sauce on top of the rice. That's right. Even the rice is delicious flavored.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.189375; Sentiment_Subjectivity (from 0 to 1): 0.552380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with delicious sauce and cheese. Loved the crispy crust as well which I am normally not a fan of so that's a major plus. The only reason this is not a four star review is because there didn't seem to be nearly enough of the delicious sauce and cheese. I recommend ordering a few toppings (maybe even extra cheese) to get a more complete pizza.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.323958333; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After my first review decided to go back again and must say was even better.  Fan of the garlic naan and amazing chicken kebob.  Great take out service as well.  A definite must when in midtown.  A great hidden gem!!!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.190468569; Sentiment_Subjectivity (from 0 to 1): 0.557407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is amazing, was recommended to come here by a friend and was well worth the train ride from Astoria to Brooklyn! Can't wait to come back again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.333333333 [/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: Yes, I will say that you definitely need to stop here for your burger fix. The burger doesn't give you that sick, full feeling. It's just delicious. I went twice so far, once on a Saturday afternoon and once during the week for lunch.  It's just odd to see so many children in a bar.  I have never had to wait more than 5 minutes even though the place seems packed. (There is also seating in the back.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174338624; Sentiment_Subjectivity (from 0 to 1): 0.573015873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the noodle, love the pork bun, everything was great but........taking forever to get a table! somehow feel like they just want you to wait at the bar for longer time so you will drink more....; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.6125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was the best pizza I have ever had. Even though someone else tried to jack our pie. There's no line, it's every man and woman for themself.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Darn yelp! I think you over-sold it! I came here expecting pure awesomeness and it really was just... sorta cool. So don't come in here with huge expectations. I expected every dish to be amazing, but really, only the drunken noodles was worth it. ALSO, their stuff can get REALLY spicy. Sure, you may THINK you can handle spicy, but thai spicy is the type of spicy that LASTS! It's not like wasabi-spicy where it burns a little and then it goes away, or kimchi-spicy where it's fine if you've got water. This hurts. Of course, the first few bites of Thai spicy is fine.. but as you eat, the spiciness just synergizes on your tongue until you're crying for milk (because even ice water can't help ya). Anyways, ask for "mild spicy" if you're not sure how much you can handle. I feel like the Thai food here is more like a fusion. It's a place that you can go back over and over again, because it's hard to get sick of the food; it's pretty light and healthy. However as a restaurant overall, it's alright.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.156018519; Sentiment_Subjectivity (from 0 to 1): 0.517034098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Absolutely delicious. Fantastic location and great staff members. We met the manager, Lance, who was the nicest man and he made several fantastic recommendations. We had two appetizers and two entrees and each dish was mouth watering, and they are not shy with their alcohol. My bf had two drinks and is currently content and fast asleep. We live right across the street and will definitely be coming back to enjoy their happy hour. I can't wait to bring my friends here! Great addition to the neighborhood!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.40450487; Sentiment_Subjectivity (from 0 to 1): 0.608482143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place, lovely food! Like the spring roll( shrimp) and the uni soba very much!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.505 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This spot is off the hook an it's danger too my health food is fresh to service when u order; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; 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: Whenever a new place opens up, i like to check them out. I'd recommend this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.136363636; Sentiment_Subjectivity (from 0 to 1): 0.454545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a quiet treasure in a loud neighborhood.  Give it a try in the evening for a special desert and a nice liquor.  I had the apple tart, which was a pureed apple gel on one of the flakiest crusts I've ever tasted.   I was sad I wasn't hungrier.  Each plate that passed let off a wonderful basket of scents that almost made me get out of my chair and follow it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25952381; Sentiment_Subjectivity (from 0 to 1): 0.784126984 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best pizza I have ever eaten!  We got the number 1 special and it is amazing. 2 cheeses , prosciutto , white truffle oil and scallions.  Amazing.  The pizza is so good that my wife,7 year old daughter and I polished off a large. Add to it a nice craft beer selection. Awesome. Little pricy but worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.440327381; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first oddity I noticed was that the restaurant seems to like placing rolled pieces of paper over their light bulbs. I was afraid a fire would break out because one of the pieces of paper (within my range of vision) had a large burn hole in it. I'm not sure if it's for mood lighting or what, but the proper application of lower wattage bulbs or even lamp shades could do the same without the hazard. Second, it's packed like a can of sardines. I was in a party of four and there was one table with four settings that was about the size of a coffee shop table for one. I'm not into pastas so I chose the Costoletta Di Agnello (lamb chop). Three Frenched lamb chops with spinach and new potatoes. The potatoes were crispy, but improperly salted - some had a lot of salt and some had none. The spinach was a nice relief from the meat and potatoes. Now, the star of the plate should have been the lamb chops. I ordered them medium and they came out nearly medium-well. And it seems that the kitchen rushed the order due to the crowds because they didn't let it rest enough - all of those precious juices were running all over the wooden cutting board they were served on and eventually all over the table. Sad. This left two of the pieces a bit dry and tough with the third just barely right. For the price, I'm sure there are far better Italian options.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.040608003; Sentiment_Subjectivity (from 0 to 1): 0.517818293 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Broccoli Rabe and polenta were absolutely delicious!! Plus 1 dollar oyster happy hour from 6 to 8. Honestly, worth the trip over.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My boyfriend and I had brunch here a while back and it was decent.  It's somewhat of an oasis in a neighborhood of lackluster eateries in that it feels clean, fresh, and young, making it a yuppie haven, kid-friendly, and date-appropriate all at once.  The food is pricey and iffy.  The first time I went there I had some kind of tuna salad sandwich which was pretty dry. I had the kale-lentil soup w/poached egg on another occasion and that was delicious but tragically not enough.  $7 for a cup of soup is a sham.  However, I'd go back and give some of the other menu items a shot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188690476; Sentiment_Subjectivity (from 0 to 1): 0.519642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In my 21 years of existence, this has been my favorite restaurant. The combination of the crowd, vibe and food is an unreal mix. EV has character and portrays down to earth sophistication perfectly. The food is frickin awesomely tasty. The menu leans toward italian dishes, but most of the entrees are well prepaired pieces of fish. this place is on my favorite street in NYC (west 4th). If I may, I'd also like to recommend the 55 Bar (on Christopher) down the street for some after dinner jazz - perfect night. -pk, pkafka.com; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.465432099; Sentiment_Subjectivity (from 0 to 1): 0.675308642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Kefi... meditterranean or greek? I wasnt sure..but I wasnt impressed. The white walls and decor would've felt homey if it wasnt so overly crowded. The wait is not worth the food at all.. would rather go for authentic middle eastern food down at 53rd and 6th lol; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249305556; Sentiment_Subjectivity (from 0 to 1): 0.354861111 [/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 knew this was the right spot for dinner when I was told I'd have to wait an hour for my table on a Monday night. My brother is an intern at the Spotted Pig so the kitchen was quite generous, the service was amazing (not too nosey, not too distant) and the ambiance was exactly what I expected from this place. I don't even know where to start with the menu. Their deviled eggs and the chicken liver toast are MUST HAVES. Try their oysters, pork rillette, burrata and sauteed ramps. The hamburger is their famous dish, amazing!! Be prepared to wait, they don't make reservations, but you can enjoy a cocktail at the bar either upstairs or downstairs. Fun place!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254821429; Sentiment_Subjectivity (from 0 to 1): 0.598571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pass by this restaurant almost every day and had never been so I looked at the Yelp reviews and decided to give Noodle Pudding a try.  Eh.... It was ok... The food was good but I felt that the service could have been a little better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.378125; Sentiment_Subjectivity (from 0 to 1): 0.525 [/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: What an excellent selection! No portion of the menu lacks on this fabulous range... from drinks (sangrita anyone? half sangria, half margarita and 100% tasty) to main course to desserts. Extensice all-around and also So, they claimed they did not take reservations beyond 7pm, but when I arrived at 8pm thinking we did have reservations coordinated by my fellow Yelper and I asked, they scanned a list of those with reservations. Interesting. I don't quite *get* the reservation situation here? The hostess was super apologetic, thinking our reservations had been overlooked, and tried her hardest to get us in ASAP. I was honestly torn as to what to eat. Too many options, which is a problem I love to have! I finally settled on the jalapeno grilled catfish, which came with a jalapeno marinade and was topped with strawberry salsa. There was a wide variety of sides (the dish came with two) - and I opted for the cilantro mashed potatoes (amazing - they were the oddest shade of strong pea green, but tasted oh so fabulous) and the garlic spinach (could have been a tad warmer, but it was quite good as well). Let's just say I usually take a pic of my dinner, especially when it was as colorful and unique as this one, but it smelled too good to wait. Ooops. And to round out the meal, we had an order of churros - which became um two orders of churros. Fabulous. The churros themselves were good but pretty standard, but the dipping sauces were what made it. There was a chocolate dipping sauce (good but only decent) and then there was a thick, rich dulce de leche sauce. That was where it was at... I don't go to Brooklyn often, but this is a reason to go again. And um again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.273989899; Sentiment_Subjectivity (from 0 to 1): 0.633585859 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can't comment on the food because we didn't stay long enough to eat. If you're okay with community dining then power to you my friend. We aren't, so sitting arm-to-arm with the other patrons was a no- go. We were practically in their plate...and the BF was temporarily Fished-out so the pungent odor from our neighbor's red snapper dish was especially unappealing. And I personally didn't care to hear anymore off Karen & Whitney's loud, long-overdue reunion chatter. We tried to move outside but it was a 45minute wait.  He would have ordered the $21 Steak and I the $24 lemon crusted fish, but I just wasn't trying to share with Karen...or Whitney for that matter... Call me shellfish.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.041666667; Sentiment_Subjectivity (from 0 to 1): 0.436111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The BEST PIZZA EVER! I wish I could have this in California!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stumbled across B4 one night. Immediately Loved it. Great decor, plenty of seating, friendly and knowledgeable staff (which can be hard to find these days).  Enjoyed every meal we have had there, namely the drinks, sweet potato fries, seared ahi tuna nachos, salmon, pizzas. Looking forward to trying more of the menu!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.436904762; Sentiment_Subjectivity (from 0 to 1): 0.63452381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so excited to come here for a long time ~ and finally when that day came, I have to say that it was very disappointing.   The food and tea were absolutely wonderful - delicate tastes that complimented each other so well.  It was magical.  The presentation was gorgeous, each plate like a tiny work of art.   But one would think that a tea place would at least be a little bit quiet.  Not in this case.  It was SO LOUD that my date actually had to go hide in the bathroom for a bit to stop the ringing in her ears.  Do people talk in the city anymore, or does every NYU student just screech each sentence?   I wish I could come back here, but to be honest, the food is so expensive and of such nice quality that it is really a waste to come in here and not be able to savor it at all because of the Saturday night bar like volume of the place.   We even went during lunch time, thinking it would be a little bit less crowded/less loud.  No dice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.067133333; Sentiment_Subjectivity (from 0 to 1): 0.5984 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: La Duree has long been a favorite place for me to visit after a leisurely afternoon spent at the Met. The décor is beautiful and very similar to their French locations; however, there is no place to sit in this location. They also have consistent quality - I've never had a bad macaron from La Duree. Their flavors change seasonally; however, there is a standard list of classics that they always have in stock. Of the 'classics' the Caramel a le fleur de sel (Salted Caramel) is my favorite followed by the frambois (raspberry). La Duree doesn't use any artificial flavors and likely will never have a peanut butter flavor (apologies to all the Americans out there, but peanut butter isn't popular in France). If you're looking for peanut butter - try Macaron Parlour (my favorite next to La Duree). The macarons also make lovely gifts. I like collecting the boxes! Also - their caramel sauce is a nice addition to any icecream sundae (or just by the spoonful)!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183823529; Sentiment_Subjectivity (from 0 to 1): 0.622745098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 loud. The food is pretty darn good though. Been for both dinner and brunch and both were very satisfying. Did I mention that it's loud? The mac and cheese is truly amazing. The fried calamari was forgettable. Good bloody marys. Cool unisex bathrooms. But it's loud.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204545455; Sentiment_Subjectivity (from 0 to 1): 0.777272727 [/INST] Not Spam</s>