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syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Make sure to try a classic pisco sour and the more modern fresh guava pisco to start to develop an understanding of how complex these wonderful peruvian drinks can be! The bar and dining room are hip and modern, the food is amazing, and the service is great (an unexpected bonus compared to other latin american restaurants).  The nice thing is they've taken their short ribs and created a short rib arepa appetizer so you can still taste their succulent deliciousness while enjoying something else as an entree! Oh, and definitely end it with the tres leches.  You'll thank me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.264035088; Sentiment_Subjectivity (from 0 to 1): 0.52002924 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're looking for some down-home Austrian food, this is definitely the place to go.  Far removed from the craziness of the east village, you won't have the crowds that build up around Zum Schneider.  Also, you can get Stiegl by the liter here. You can't go wrong with the food.  Austrian meatballs, Spätzle, cheese Spätzle (wow!), sausage platter, goulash, everything is awesome.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.145; Sentiment_Subjectivity (from 0 to 1): 0.88 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dead Rabbit is a fine pub downstairs (the Taproom) with plenty of beer and whiskey selections, and even a few classic cocktails if that's what you want.  Come here after work and get loud and proud. However, the upstairs cocktail lounge (the Parlor) is where it is really happening.  It's quiet with a restrained background of classic jazz, and you're not allowed to stand (they want everybody seated to keep the energy calm).  Also, they have what I consider to be the richest and deepest high-end cocktail menu available in NYC right now.  Organized by drink type (fizzes, punches, etc), each subsection contains drinks made will all manner of base spirits, custom house-made syrups, tinctures, infusions, bitters, and juices. The menu is formidable, but they also pull out the highlights into their own foldout so you can have a list of 15 or so house favorites so you don't have to read through 30 pages of drinks just to get started. Also, the meatballs are outstanding.  I can't wait to come back and continue working my way through the menu.  This is without a doubt one of the best cocktail establishments in NYC and it's even more shocking that it is downtown.  It's so much more well run than Demi Monde was, so hopefully they'll be able to keep it going.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.20170068; Sentiment_Subjectivity (from 0 to 1): 0.53106576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't care what Frank Bruni says... foie gras and truffles are the bomb.  Thanks to other yelp reviews we tried the goat cheese tart (with truffle oil) which was truly transcendant. You simply must try it if you come here. The escargot was great as well but could have been more garlicy. As far as entrees go, both the duck breast (medium rare) and the filet (rare) with foie gras and truffles.  The latter is incredibly rich so I don't recommend trying to eat it all by yourself... Definitely a great sharing entree.  Actually, that advice goes pretty well for the entire meal here... Best to come with a foodie group that likes to share because the flavor combinations are superb. Oh, and it's BYOB with no corkage fee!!! That is hard to find with food this good so enjoy it while it lasts!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.337280702; Sentiment_Subjectivity (from 0 to 1): 0.586779449 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!!! If you like pork, then you need to organize a group of foodies to come try the Bo Ssam.  It is a huge, juicy, fatty, tender pork shoulder with tons of sauces, kim chi, rice, peppers, and oysters that you load into a seemingly-endless number lettuce wraps and eat UNTIL YOU HATE YOURSELF. We had 9 pork eaters and 1 person who ordered the duck (which is also great btw), and we didn't even come close to finishing it.  There were enough leftovers for 3 people to take some home.   Even with all the sides it came out to $38/person for the food, so pretty decent value considering the quality and the experience. There was a minor snafu with them transferring over a bar tab that had already been settled, but they were quick to take it off the bill.  Just a reminder to always double-check your reciept. Oh... and the pork buns are made with slabs of pork belly.  That's what I'm talking about.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.646296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is good, but it always takes the delivery guy an hour to get here, and of the 4 times I've ordered from them they got the order wrong 3 times.  So if you want De Mole, make sure you are going in person, it will probably save you some headache.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.796296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 counting room has unique and interesting cocktails on the menu, with certain flashes of brilliance like the Salt & Ash.  But the real genius lies with the bartenders who can craft a custom concoction to fit your mood as well as the top mixologists at D&C or Employees Only (really... no exaggeration here). The best part is the drinks are only $10... so if you're looking for great drink value you can not beat this place. Note that if you like something quiet and chill, do not come here on a Friday or Saturday when they have a DJ to cater to people who want to dance.   Oh... Bacon and Chocolate Crostinis.  'Nuff said.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.349107143; Sentiment_Subjectivity (from 0 to 1): 0.571230159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They don't make soup dumplings (why the hell not anyway?) but their steamed dumplings are literally the best I've ever had.  I believe it was 9 dumplings for $3, an excellent value. You can hear the guy in the kitchen slapping the handmade noodles, and those which came out in our noodle soup were really great.  I'd love to go back for one of the dry noodle bowls and give that a try. They also sell the frozen dumplings at $9 for 50qty.  I'm gonna give those a shot sometime and see how they turn out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.538888889; 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: I can't say that I love the noodle soup here as much as I do at Momofuku Noodle Bar, but damn the pork belly is amazing.  Giant hunks of tender, fatty pork belly.  You can't go wrong... come give it a shot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.079166667; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a seriously awesome brunch place.  Finally something that will rival some of the better Manhattan brunches.  No kidding, every single thing on the menu sounds amazing. They made a crab benedict but instead of using a crabcake with eggs over it, they actually fried a whole softshell crab, and put the eggs and hollandaise over that.  What a fantastic idea. We also tried the Cheddar Sausage Gravy and Biscuits (with thyme, rosemary, and sage) and the Breakfast burrito, both of which were top notch. For dessert our table shared the red velvet smores and the berry cake with chocolate chips. Really you can't go wrong here.  All they need is some fresh icecream and fruit to make a chocolate-peanut-butter-banana milkshake and they'll be competitive with Clinton St. Baking Co.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240659341; Sentiment_Subjectivity (from 0 to 1): 0.547252747 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fried chicken biscuit with bacon and cheese, smothered in sausage gravy and topped with a fried egg?  Yes please I think I'll have some more. Also their deviled eggs are god damn fabulous.  This is easily my new go-to place before shows at the Beacon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.109090909; Sentiment_Subjectivity (from 0 to 1): 0.726136364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Easily among the best BBQ restaurants in NYC (and I could easily be convinced it was #1), Morgans BBQ brings expertly smoked pork shoulder, sausage links, falling off the bone pork ribs, and their specialty, incredibly tender fatty brisket. Top that off with an excellent bar stocked with a very deep Bourbon list and you really can not go wrong. We ran out of time to try the seasonal cobbler but I definitely won't miss the next opportunity. This is a great place to go pre-Barclays Center.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.319047619; Sentiment_Subjectivity (from 0 to 1): 0.552619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely one of my top 5 brunch places in NYC.  With plenty of seating inside and salsa music playing in the background, Yuca is a great place to wake up and start your day. $14 gets your choice of brunch dish plus alcoholic beverage or fresh OJ and either coffee or tea. My choice was the special, a chorizo scramble on arepas, topped with tomatoes, guacamole, and chipotle hollandaise (which I requested and they were happy to provide).  Their home fries are not the standard fare... They have mashed sweet potato mixed in! I cant wait to explore this restaurant further for dinner. Not to mention that their huevos rancheros looked amazing too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288095238; Sentiment_Subjectivity (from 0 to 1): 0.551785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't know how this place got a Michelin Star and is somehow on the same level as Veritas, Wallse, Gramercy Tavern, etc.  The burger was good but it wasn't amazing enough to deal with the facts that: A.  Spotted Pig doesn't take reservations.  Come here at lunch or deal with insane crowds at night. (-1 star) B.  Even if you sit at a booth half of your party has to sit on low stools, which is pretty uncomfortable. (-1 star) C.  The service is terrible, even at lunch time when it is relatively not busy.  (-1 star) Michelin needs to re-think this one.  I only came because it was on the list but I can't see myself coming back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.08974359; Sentiment_Subjectivity (from 0 to 1): 0.607051282 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great place to sit and explore some spanish tapas and spanish wines.  It's fun to sit at the counter and watch the masters at work, and that is the only option at this small venue so be prepared for an adventure!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.13125; Sentiment_Subjectivity (from 0 to 1): 0.391666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Why have eggo when you can have Abeille?  Anytime I want a waffle for breakfast, I know where I'm going.  'Nuff said.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/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: I can not give this place enough stars.  It's a high-end martini bar with very knowledgable bartenders, great food, and a very warm, neighborhood vibe inside.  They have 3 people working the bar so they have plenty of time to discover what you like and talk to you about the drinks they're making.   EO infuse their own lavendar gin, chai vermouth, and they make their own grenadine (amazing in its own right, if they let you try it in a glass) which they plan to start distributing soon.   Food wise, we tried the Elk loin and the Pork Porterhouse, both of which were great.  Unfortunately their list of sides is fairly unappealing, but this isn't like fancy steakhouse... your main course actually comes with sides and these were nicely accompanied.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.36452381; Sentiment_Subjectivity (from 0 to 1): 0.709315476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Although not an incredibly fancy restaurant, Bianca gets top marks for the quality of the food.  The caprese salad was a delicious starter, with fresh delicious mozarella cheese.  Our two main courses were the black tagliolini pasta with crabmeat (mmmmmmmm) and the ravioli di ricotta.  Both were excellent, and you can't beat the prices (entrees are $9-15).  Come early, because if you get there after 7 on a Friday or Saturday you'll have to wait.  But that makes it a great place to go before a show or night out.  Enjoy!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.554545455; Sentiment_Subjectivity (from 0 to 1): 0.656060606 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hearth takes a serious approach to farm-to-table eating and has a very strong focus on sourcing from great suppliers for their cuisine.  We had 4 people so instead of going with the tasting menu we decided to create our own: - House made Charcuterie (Duck Breast, Lardo, Rabbit Ballotine, Chicken Liver Pate, Duck Rillette, Head Cheese, Rabbit tart, and Pickled Vegetables).  This was one of the better charcuterie plates I've ever had... like something straight out of the Ruhlman/Polcyn/Keller book. - Salmon belly - Slow Poached Egg - Sweetbreads - Grass-fed Sirloin - Washugyu Beef Cheek (Holy Cow!  There was 5 large slices of beef cheek, all of which were perfect and very rich) - Pappardelle with braised goat - Halibut What we learned was that the food here is in very large portions and is extremely rich.  There's absolutely no need to order an appetizer and a main for everybody.  Get the apps you want and share a main... trust me when I say you'll be more than happy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.271159148; Sentiment_Subjectivity (from 0 to 1): 0.661265664 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's no doubt that the bang for the buck is high at Vanessa's. That said, I still have to critique the food. Lots of choices here but personally I think the dumplings are too thick and doughy. We tried the chicken/basil, pork/chive, and shrimp dumplings. All were good but not great. I think the sesame pancake sandwich is a great idea. Just stay away from the duck sandwich, which would be more appropriately named duck-fat sandwich. The Kim Chi is awesome. Fresh, crunchy, and spicy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.326; Sentiment_Subjectivity (from 0 to 1): 0.5915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food, but much more casual than many of his other restaurants so don't set your expectations for Marea or Ai Fiori.  This is more like traditional Italian rural/country cooking than the fancy NYC-ified dishes he usually does. That said, the food was all great, and they always have some sort of unique/special wine available by the glass... stuff you would never see available by the glass in other places.  Bar Boulud does this too and I hope this idea catches on all over.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.223076923; Sentiment_Subjectivity (from 0 to 1): 0.493589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down the best BBQ in Manhattan at this point in time.  The brisket literally falls apart with your fork.  The sausage is perfectly spicy, and the pulled pork is excellent.  So are the ribs. Really, you can not go wrong here.  I am so glad to have this level of BBQ without having to trek out to Williamsburg that I've gone twice this week. I wish they took reservations for large groups, but it is what it is.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.40734127; Sentiment_Subjectivity (from 0 to 1): 0.63968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hear about something called Tempura Bacon, you have to try it.  So off we went to Red Cat in search of a new porxperience.  (A google search confirms that I just coined that term, so you read it here first).   The tempura bacon was amazing and definitely the best part of the meal.  It's not about the flavor so much as it about the texture... it was so tender it felt like the bacon was literally melting in your mouth.  I don't think I've ever had this experience with bacon before.  The other appetizers (fontina macaroni, crab rangoons) were good but nothing to write home about.  And the same goes for the short rib that I had for the main course... good, but it doesn't come close to measuring up to Jean Georges or BLT Prime.  Get the string beans with sweet hot mustard as a side, and you won't be disappointed with that. The dessert I had was the pistachio semifreddo, which was VERY good, esp since I love pistachio and drenching it in chocolate sauce makes it just that much better. So what to say about Red Cat?  You have to come here to try the bacon and the string beans, and some dessert.  But without amazing main courses it's hard to say I would come back again.  Just a solid 4-star place that's a good choice if you're going to be in the area anyway.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.252424242; Sentiment_Subjectivity (from 0 to 1): 0.447162005 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 NYC classic.  Don't bother coming here with locals, just wait until your friends come to visit and want to taste NYC pizza.  It's right in little italy and they use fresh ingredients from local delis.   If your friends are adventurous, try their clam pizza... it's delicious and not something you can get in most places.  Don't get dessert here, just go across the street for some rice pudding at Rice to Riches.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320610119; Sentiment_Subjectivity (from 0 to 1): 0.512797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow!  Excellent down-home Cuban a half-block off the 7-train.  Come grab a half-pitcher of red sangria, and settle in for a great meal.  Definitely get the ropas viejas, a shredded flank steak stewed in tomatoes and peppers.  It is fan-friggin-tastic.  Lots of other options, we tried the Pollo Ricon Criollo, a broiled chicken... it was good but not great.   The fried plantains (platanos fritos) are fantastic.  We didn't try the sweet plantains but I'm sure they would have been good too.  Black beans and rice is a solid side. For dessert, both the flan coco (coconut flan) and the rice pudding are amazing.  Like, some-of-the-best-you've-ever-had amazing. Would definitely come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.235964912; Sentiment_Subjectivity (from 0 to 1): 0.620906433 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You're not going to find custom made dumplings here like Tianjin dumplings or a menu with 100 dumpling options like Dumpling Galaxy, but the steamed and fried pork dumplings here are $2.75 for 8 huge dumplings, and they don't skimp on the meat.  A normal person would be stuffed after 8, and if I was being honest with myself I could have stopped there but I really wanted to try both kinds. The value here is unbeatable.  Plenty of seating inside so you won't be fighting for a table.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How can you go wrong with a menu designed by Batali?  I started with the special salad (pears, goat cheese, roasted walnuts) which was plenty big to share with 3 people to start.   They had a couple of special pastas available as well, so I went with the pappardelle with lamb and basil, which was absolutely delicious. If this had been served to me at Babbo I wouldn't have been disappointed, so definitely make it a point to give Lupa a try.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.108035714; Sentiment_Subjectivity (from 0 to 1): 0.599107143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can be said about Traif that hasn't already been said?  First off, they have a short cocktail list (around 5 drinks) but all 5 are unique, innovative, and use different spirits / flavor profiles so there's something for everybody. We did the chef's choice menu, which comes with 9 savory courses and 2 dessert courses for $50.  An INCREDIBLE VALUE.  Hard to think of another restaurant in NYC that gives you 11 courses for $50.  It's not an obscene amount of food so you don't have to worry about rolling out of the restaurant, but the variety is great. I suggest getting together a group of friends and coming for the chef's choice.  You won't be disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198148148; Sentiment_Subjectivity (from 0 to 1): 0.686111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: These are hands down the best fried and steamed dumplings I've had anywhere in NYC.  2 big guys got full on dumplings, scallion pancakes, and fried bbq pork buns.  Total cost including soup and sodas was $11.50 (for both, not each). Warnings: 1.  They do NOT have Xiao Long Bao.  If you want that, you're still better off going to Shanghai Cafe. 2.  There are only 4 or 5 bar stools inside, so seating is tough when there's no line and almost impossible when there is a line.  Wait for a nice day outside and get the food to go so you can sit in the park and eat while they're still steaming hot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.110683761; Sentiment_Subjectivity (from 0 to 1): 0.586324786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a new favorite 1-star Michelin Restaurant and it's name is Ai Fiori.  An excellent cocktail menu, wonderful food showcased by a 4-course prix fixe that I particularly love (Marea does the same thing), and exceptional service.  For the wine pairings, the Sommelier even came out to ask "Is there anything you don't like?".  Why don't all restaurants do this?  The wine pairings he selected were all perfect. Here's what we had: - Animelle (sweetbreads and pancetta) - Sardines - Corzetti with hen of the woods mushrooms (we added some shaved white truffle since it was the last week) - Trofie Nero, a wonderfully spicy squid ink seafood pasta - Rack of Lamb - Duck Breast with sauteed foie gras - Dark Chocolate Tartaletta - Panna Cotta with blood orange and balsamic crema We also added a cheese course, because their cheese cart had some interesting selections. I am convinced that Ai Fiori will earn its second Michelin star very soon.  We'll definitely be back as often as possible before it gets too hard to visit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.336742424; Sentiment_Subjectivity (from 0 to 1): 0.554882155 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow.  Well, the appetizers to get here are definitely the Colorado Lamb Tasting and the Duck Breast.  The rack of lamb and the lamb sausage in particular are absolutely amazing... some of the best I've ever had.   It might be worth starting with some tagliatelle with lobster or some spicy duck meatballs or some wild boar belly.  All of these are really great.  Top it off with some Edamame falafel and you're good to go!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.403787879; Sentiment_Subjectivity (from 0 to 1): 0.498484848 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hard to find solid Thai/Malay food around NYC, so Nyonya is definitely worth remembering.  I always get Green Curry the first time I eat at a place like this, just as my own personal benchmark, and Nyonya was excellent.  I seriously doubt you can go wrong here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0825; Sentiment_Subjectivity (from 0 to 1): 0.524166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down, the best restaurant I have been to anywhere in Queens.  Ignoring the savory part of the meal, I'll just start with the fact that for dessert we had marshmallow-rice-krispie treats with a scoop of marshmallow ice cream.  AMAZING.  Of note also was: - Scallops (truly great scallops) - Short Rib Buns - Braised Pork Belly Tacos (really great taco, but I wouldn't go so far as to say the pork belly was transcendent) - Crack & Cheese, which is fried potato gnocchi, cheese bechamel, and bacon - Oxtail terrine Also a friend ordered the fried chicken which is cooked in a sous-vide before being battered and flash-fried.  I got to try a bite and I will say, that was the most tender, juicy fried chicken I've ever had.  You do get a 1/2 chicken when you do this so it's great for either sharing or just having on your own. No beer/wine/liquor and no BYOB unfortunately.  It's the one thing they're missing, but once they get to a point where they're rotating the menu (I hope more frequently than seasonally since it's in the neighborhood and I'd love to go more frequently than that) and have a wine selection, it's going to really be a killer spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211640212; Sentiment_Subjectivity (from 0 to 1): 0.611375661 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a tough review.  I really wanted to give Ward III 4 stars based on quality of mixologists and drink ingredients.  But the truth is, their menu isn't all that creative when considering other $12+ cocktails, the lack of a decent food menu (pulled duck sandwich notwithstanding), and the general overall bad vibe this place has.  If any one of those things weren't true I'd give it 4 stars but the truth is, I probably won't be coming back.  It's close enough to places that are much more innovative and have better food menus like Macao Trading Co.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.110912698; Sentiment_Subjectivity (from 0 to 1): 0.52797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just your typical run-of-the-mill overpriced TriBeCa joint.  The food is good but I wouldn't say it is particularly memorable.  Except for the creamed spinach, which was definitely the most memorable part of the meal.  Even the desserts were not memorable, which is surprising because I usually love dessert. There's nothing at this place that you can't get at 200 other restaurants in NYC.  But the food was solid and the service was good and attentive, so I'm giving it 3-stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304487179; Sentiment_Subjectivity (from 0 to 1): 0.628846154 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent shwarma near Times Square (but far enough away on 9th avenue that the tourists don't invade).  I will definitely be coming back here for work lunches again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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?  Filipino brunch popup inside of a French bistro?  Every Sunday?  What? It rocks.  I had the sisig, which is like deconstructed fried rice.  They bring out pig snout, ears, and belly sizzling on an iron skillet with a raw egg cracked on top.  It's so hot that you mix it all up and the egg cooks inside the meat.  Then they give you rice on the side that you can mix in or eat separately, and squirt some Maggi with Calamansi in (kind of like a worcestershire).  It's awesome. Make sure you go with someone who gets some fried sweet potatoes so you can try the Jufran banana ketchup. This is a great addition to the East Village brunch scene and it's not so crowded even at peak time on a Sunday.  Come check it out before that changes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.418803419; Sentiment_Subjectivity (from 0 to 1): 0.66671415 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally, great thai food in NYC!  Coming from the SF Bay area I find myself constantly disappointed by the Thai food here but this restaurant does not disappoint.  There are good innovative dishes like the shredded papaya salad and solid basics like Pad Prig Khing.  There are multiple dining rooms so they can accommodate groups easily, and two of us ordered a ton of food for $40.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.269047619; Sentiment_Subjectivity (from 0 to 1): 0.576190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First of all, never admit that you stumbled into anywhere while walking back from Kmart.  Stumbling out of a bar is one thing, but stumbling out of a Kmart?  Weird. Anyway, this may be the best slider I've had in NYC.  Get a few of them and a Guinness Shake to wash it all down.  Transcendent.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.065740741; Sentiment_Subjectivity (from 0 to 1): 0.337037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Extremely good, authentic Japenese restaurant.  Lunch was just the right portion to make me full but not disgusting.  Robotaya isn't one of those fancy places that makes all kinds of crazy dishes.  Just simple recipes and very very fresh ingredients.  And some of the best rice I've ever had in NYC. Would love to come back here for dinner to try the expanded menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.32961039; Sentiment_Subjectivity (from 0 to 1): 0.567532468 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Run by the same crazy meat people at Resto (next door), Cannibal is a fantastic place to go for an ever-rotating beer selection and your choice of various sausages and pates.  Anybody who likes meat will find something to love here, whether it is the lamb merguez, chicken liver pate, kielbasa, bratwurst, or even lamb tartare if you're brave.  Sit inside at the bar or out in the back biergarten with your friends.  I am sure I will be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.090909091; Sentiment_Subjectivity (from 0 to 1): 0.533080808 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here for a quick late brunch bite and ended up having a meal and a couple of cocktails.  There is a wide array of interesting brunch options to choose from, but I decided to just order a couple side dishes instead.  I had a fresh buttermilk biscuit with bacon gravy (a nice variation on the more traditional sausage gravy) and a side of slab bacon. Those of you who read my reviews know that I'm no stranger to bacon.  From the slab bacon at Peter Luger's to the sugar-cured bacon at Clinton Street Baking Co. to the tempura fried bacon at Red Cat, I thought I'd had most varieties of bacon available in NYC.   Char 4 presents a new take on slab bacon.  I don't know how they do it, but it's like they're taking a slab of pork belly and rendering it down to bacon consistency while still being more than a half-inch thick.  Seriously, if you like bacon you need to eat brunch here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.161300505; Sentiment_Subjectivity (from 0 to 1): 0.502193813 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Crowded.  Cramped.  Delectable Indian Influence.  Try the shrimp (you've never had shrimp this tender) and the chili pork dumplings.  I've never had dumplings with this perfect of a texture. Tapas range from $7-15, and a glass of wine is $8 ($25 bottles).  So you're definitely getting great value for the quality of food that Graffiti serves.  Just be prepared to share a table with strangers and feel confined.  You've been warned.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.6; 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 was an absolutely great find.  Doesn't matter whether you're interested in sushi/sashimi, yakitori grilled skewers, tempura, tofu, or noodles you will find something you like and it will be very good.  It might not be "OMFG this is the best X I've ever had" but it is all extremely competent. The prices are very reasonable.  We had a shitload of food and sake for $150 for two people.  You could eat a... more normal... amount of food and sake and get out for $40-50pp. The sake pours by the glass are insanely big.  I've never seen sake glass pours like this before.  I'm guessing 5 ounces for $15?  They don't skimp that's for sure. Considering its in Times Square I'm sure I'll want to come here again before a show.  We will definitely be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4475; Sentiment_Subjectivity (from 0 to 1): 0.567037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Easily the best fresh cocktail program in Sunnyside at the moment.  Not that that was a high bar to pass, but I think these guys are going to be rotating out drinks and ingredients seasonally, which will be a very nice addition to the neighborhood.  We tried all 4 cocktails on the menu right now and they have a nice variety of fresh summer drinks, all of which are very well balanced.  The lemoncello/sage cocktail definitely stood out, as did "The Rose" which is a plymouth gin/citrus/angostura/egg-white drink. As far as the food goes, I think they have a nice selection here as well.  Putting a poached egg on the caesar salad is a nice though, thought I can't say I care for the shredded lettuce with the caesar.  Personally I'd rather see whole romaine spears like you get at Quality Meats (IMHO the best caesar salad in NYC). The stracchino pizza is great, and I love the very thin/crispy crust.  Very neopolitan. I also tried the sea bass, which was perfectly prepared (I love a nice crispy skin on top) and with a sweet orange reduction over the top and over the string beans. For dessert, we had the rice pudding arrancini, little balls of rice pudding with raspberries in the middle, breaded and very lightly fried, on top of a lemon curd sauce.  Really wonderful light dessert considering it was fried. The pasta looks amazing as well, so I can't wait to come back and try the rest of the menu, and also to see how this restaurant evolves over time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.416431878; Sentiment_Subjectivity (from 0 to 1): 0.615806878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I can say is that the infused vodkas were the best I've had in NYC (better than Anyway Cafe) and the Varenyky were super tasty.  Especially the sour cherry ones we had for dessert.  Also the service was excellent and they were very kid friendly (no problems bringing a baby or anything). Other than that the food is merely OK but definitely over priced.  I think you can find better Ukrainian food at a much lower price at Veselka if you're intent on eating in Manhattan.  For these prices you can have yourself a 5-hour feast in Brighton Beach with amazing food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.395555556; Sentiment_Subjectivity (from 0 to 1): 0.509444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Totto is as good as the Yakitori Torys on the east side.  Except for some reason their reservations fill up really quick.  If you don't have one make sure you're in line in the stairwell by 5:15pm and you can probably still get a seat before a show.  If not it's right next to "East", where you can get sushi as an alternative. I have not found any of their dishes to be anything less than spectacular, and their sake list is long and distinguished as well.  Enjoy!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.30026455; Sentiment_Subjectivity (from 0 to 1): 0.487918871 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 an amazing brunch at a great deal!  $15 gets you wonderful cheese rolls with strawberry butter, an entree, and all-you-can-drink sangria bar with 6 kinds of sangria.  It's huge inside so you can make a reservation and bring a group.  Go crazy with your bad self!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254166667; Sentiment_Subjectivity (from 0 to 1): 0.852777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for lunch and had the brisket sandwich.  It's very legit, super tender brisket but I don't think they give you nearly enough meat to justify the price of a $10 sandwich.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177777778; Sentiment_Subjectivity (from 0 to 1): 0.488888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was compelled to update my review after dinner last night. I went to snack at around 8:30 - 9:00 pm to get takeout on my way home from work. Previously I think I went on the early side and they charged me lunch prices. In my old review I said: "Vegetarian Moussaka to die for. $14 and change after tax is a little pricey for every night." WELL... if it's dinnertime, the vegetarian moussaka is $19.50 including tax. Variable pricing annoys me, especially when it is exactly the same dish. Just because eggplant is a nightshade vegetable, doesn't justify charging more for it after dark. It's still great food BUT the value is just not there at almost $20. Service with a smile wasn't included in that price either. If snack standardized pricing on entrees and suggested that their staff be friendly to people giving them money, I'd gladly go back. For now there are better options in my neighborhood.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.161388889; Sentiment_Subjectivity (from 0 to 1): 0.357222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tapas? Really people? Who tagged this as tapas. It's awesome Austrian food. I would venture to guess the best Austrian food in New York City. I don't know that I've ever seen another Austrian restaurant around. My friend and I stumbled in here at around 9:45 pm on a tuesday night. We had great, friendly service... interesting cocktails, good beer. The food too... yum. Great liverwurst, spaetzle, and sausages. I think it was that I don't usually eat Austrian food. But, the quality of the food at Cafe Katja overcomes any concerns you have about the austrian diet. A must try.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.526136364; Sentiment_Subjectivity (from 0 to 1): 0.530454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Something about the spotted pig gets women sloppy drunk. Picture this... slurring older woman who was once hot approaches me and my friend while we're sitting at the bar waiting for dinner - no tables for an hour and a half on a friday night at 9. She looks at my iPhone (i'm no doubt using the yelp app)... woman: "you like that?" me: "i like it ok" woman: "you live around here?"  (is she trying to come home with me already?) me: I live in soho - not far. woman: it's nicer around here. me: err... the buildings are ... different. We decide to ignore her and she eventually hit on some other guys. She stumbles out a few minutes later and catches a cab. My friend then proceeds to tell me about the last time he was at the spotted pig and he saw a drunk woman fall down the hole outside into the basement, climb back up and walk back into the spotted pig to join her friends. He asked her if she was ok. Clearly she was too drunk to feel anything. The slurring older woman wasn't the last rowdy woman we noticed at the pig. They are everywhere!! And loving it. There must be something in the water.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.002313131; Sentiment_Subjectivity (from 0 to 1): 0.452555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've eaten food from Mooncake three times in the past three days. Mooncake is way up there for good food at good value in New York. Everything on their menu is reasonably innovative asian fusion, but at very affordable prices. I'll keep going back there. If Mooncake could increase the uniqueness of every dish, I'd bump it up to 5 stars.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.248295455; Sentiment_Subjectivity (from 0 to 1): 0.400568182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There was a line of about 15 people in front of me, rain around me of about 1 gallon per square ft per minute. When I got to the front, there were 20 people behind me, 10 gallons per square ft per minute of rain and my suit was soaked through. The guy looked at me and said "Wow, you're really wet" - to which I replied "I heard your food was good". He smiled and handed over my combo plate of drunken food from heaven. I ate 1/4 of it waiting for the subway, another 1/2 when I got home, and the final 1/4 for breakfast. This is the best value street cart in new york.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254545455; Sentiment_Subjectivity (from 0 to 1): 0.581818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 scrumptious deal for the food quality and preparation. 3 cocktails down the hatch, an appetizer, 2 main courses and a side came to $99 (excl. tip). A friend recommended Lupa and I was not disappointed. On the contrary, I loved it and would go back any day of the week. The butternut squash raviolo (only one piece) was fresh and I savored every small bite. Lupa serves pasta as it should be - small and just a taster. If you want a big bowl of spaghetti, go to Olive Garden. I had the pork shoulder for my main. The preparation was great and there is nothing I can fault in the dish. However, 2 weeks later I don't remember it the same way I remember the raviolo and the eggplant side dish. I can't wait until the next time at Lupa to try something new.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.124321338; Sentiment_Subjectivity (from 0 to 1): 0.389693813 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just as good as the east village location with more seating and an outdoor patio. I went in yesterday after a nice long bike ride. I had arepas last visit so I decided to go for pabellon criollo. I wish there were places to get pabellon criollo for less than the $14 it costs at Caracas, but the food and dining experience is so good there - who cares. Had a really enjoyable meal with good flan and cafe con leche to follow. Yum.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.387037037; Sentiment_Subjectivity (from 0 to 1): 0.492592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In the words of Rodney Dangerfield "I dont get no respect" - especially as a whitey in here. But for less than $5, I do get dinner. Duck or Char Siew Pork over rice. It's good, cheap and filling. I wouldn't do it every day because over time I'd probably cheap meat with hormones induced breasts or have some weird vitamin deficiency. For a cheap food fix, you can't go wrong with the Big Wong.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.081481481; Sentiment_Subjectivity (from 0 to 1): 0.640740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you like asian food and baguettes, you can't go wrong. Saigon Banh mi is once a week lunch staple (with leftovers for a snack later). The banh mi might be a loss leader for the jewelery store it exists inside. However, when I'm there, I never think "I'd like a  #1 with a side of gold double happiness earrings". $3.75 people. That's what it costs. I don't ask where the meat comes from because I don't want to know. This stuff is tasty, filling, and I don't feel ill afterwards. In fact, there are even veggies in the sandwich. Veggies! veggies, meat, bread... 3.75. Better than fast food, for a lower price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.034375; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: super cute place--the kind you love stumbling into after walking around soho on a balmy saturday with a friend. and what luck that that is exactly what happened to me! window shopping takes a lot out of a girl so my friend and i decided to stop and get a bite to eat at snack. and boy was i glad. lamb sandwich? to die for. juicy, flavourful, perfection. wasn't a fan of the greek coffee though, and it was a bit strange going outside into the apartment complex to visit the loo, but aside from that, the perfect spot for a snack--just as the name suggests :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.307371795; Sentiment_Subjectivity (from 0 to 1): 0.605128205 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 what all dining experiences should be like: delicious (almost to point of inducing gluttony), unpretentious (unless you're eating at jean georges), and accommodating (unless you're at an asian restaurant.  yeah, i said it.  whatevs, i'm asian, i do what i want). i'm happy to report that emporio checked off on all three boxes.   came here with a girlfriend for dinner on friday night.  had a reservation, called to tell them we were running late, and they gladly pushed our ressie back.  accommodating: check. sat in the back room and while it was super loud and a wee bit squished (hi there neighbors, let me brush my buttocks up against your bread basket as i excuse myself to the ladies' room), we actually ended up befriending the peeps at the table next to us (thanks, ashtanga yoga, for the firm cheeks!).  unpretentious (clientèle): check. wanted everything on the menu.  for real.  i love when that happens.  it makes me feel sooooo easy-going.  except.  yeeeaaaahhh, i'm going gluten-, sugar-, and dairy-free.  yes, i've cut all joy from my life.  for two weeks.  i told you, i'm asian, i do what i want.   anyway, i was so excited to find that a quarter of what was on the menu was a-ok for me to eat!  no, seriously, this is a BIG deal because it's a pretty big menu.  i got the gnocchi, people.  with rabbit.  sorry, bunnicula  (if you know the reference, message me because we should totes hang).  and you know what?  it was nomderful.  delicious: check. siiiighhh. good things DO come in threes. except celebrity deaths.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.229567308; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: These types of places are what make NYC such a culinary destination. Small, cramped, and full of flavor....loved it. My girlfriend claims their lamb sandwhich is the best ever and I got to say that everything I tried was on point. If I ever opened a place like this down south all the folks would go crazy over elbow room, but in NYC you can open up great things in someone's walk in closet and be doing good business. Great lunch spot in Soho and you should definately go; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24040404; Sentiment_Subjectivity (from 0 to 1): 0.503535354 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the style of pizza I so crave after going back to the ATL. We just don't have pizza joint owners brave enough to hold off on the big cheese hands. Ny ers' are very lucky to have a 100 options similar to this treat. 1/2 a block away is one of the best views of Manhattan at night.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.319047619; Sentiment_Subjectivity (from 0 to 1): 0.471428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Restored Coal Oven, Italian Ingredients, Nice do-able decor, and the f'''n best Bufala Pizza I know. Perfectly executed and gets better each time I go. Only place in NYC I went to on two seperate occasions.I think we were meant for each other. Because the first time I gave up trying to find my pizza love, saw a sign hanging above my head that said pizza somethingorother, and I just entered to find out that I was in the right place.Like pizza magnetism. Nothing more to say except that $8.50 for tiramisu is a little cuckoo--it is good but it wasn't suspended in mid air by magic cocoa powder or anything like that. F''k this place should have a line out the door to 2nd Ave--I want to bring back the flavor and consistency of this za' to the ATL. Watch out Antico..haha Are you hiring? 4.56 stars Chef Invisible--Out; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.306845238; Sentiment_Subjectivity (from 0 to 1): 0.463558201 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Did I just get what I paid for? D'mn, you would think this cafe got a break on their rent with the value they offer for the quality in this over-hyppipriced area of NYC.. Owner must have some dark dirty little secrets on the keeper of the lease. Best example of a place serving straight forward classics, eye opening coffee, with above level customer care in the area. Patio is fit for Umpa Loompas but that only puts you closer to the cute NYU girls that like really like to use the word like as many times as they like can like you know fit it into like a paragraph like ohmygoodness he was like cuter the night before....ect Check please...sh't was good and the best value I ran across. Nothing spandex tingling, but a place worth stopping by for an early lunch. 4.245 like stars Chef Invisible-Out; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.27265625; Sentiment_Subjectivity (from 0 to 1): 0.45625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tiny place may not be impressive on the outside but after a few bites you'll realize that this place doesn't serve your typical diner Greek food. I had the Vegetarian Mousaka which was good however the mushroom was a little overpowering.  Perhaps the Pastitsio would be a better bet for those not crazy about mushrooms. The lamb sandwich was also very good.  The lamb was very flavorful and tender.  The portions were also very generous. Make sure you save some room for the Baklava.  It was pehaps the best I've ever had.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.317055556; Sentiment_Subjectivity (from 0 to 1): 0.481259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch one weekend and started off with the "i Suppli" which was a risotto croquette filled with buffalo mozzarella, fave beans, squash with mint.  This dish had a great texture however the risotto was a little lost in the cheese and the strong mint flavor. I then proceeded to 2 pasta dishes; the "le Penne" and "le Pappardelle."  The penne was excellent bursting with flavor.  The pappardelle was very good but not what I expected at an Italian restaurant.  It was more like a Beef Stroganoff.   I finished the meal with "la Torta" which was a flourless chocolate torte served with a hazelnut gelato.  The torte was nothing special however the gelato was fabulous. Great food combined with great service makes this place a true winner.  I highly recommend it if you're in the mood for some "innovative" Italian food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.418998599; Sentiment_Subjectivity (from 0 to 1): 0.6367507 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not a bad bowl of ramen but not worth the wait or price.  The wait wouldn't have been so bad if they were more efficient.  I wasn't very fond of the noodles they chose either.  I think a thinner and firmer noodle (like Ippudo) would have gone better with their thicker broth.  They're pretty creative with the toppings though.  I've never heard of avocado on ramen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18125; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried the all-you-can-eat pasta course which was a good deal considering the location.  If you choose this course, you can eat as much as you want of 3 different pastas.  A waiter will come to your table and fill your plate with pasta sort of like an Italian Churascaria.  Obviously if you choose this course, your focus is more on quantity than quality however the quality was not bad at all.  If you're planning to run a marathon, I can't imagine a better place to load up on carbs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.28125; Sentiment_Subjectivity (from 0 to 1): 0.445833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had dinner at the Tavern which I thought was very enjoyable and reasonably priced.  It was surprisingly more casual and comfortable than I expected.  For appetizers we had the Heirloom Cauliflower and the Foie Gras Torchon with Peat Chutney.  Both were excellent.  For the main dishes we chose the Sea Bream and the Smoke Kielbasa.  These were good too but not as good as the appetizers.  I would definitely come again but would choose something else for the main dish.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.323611111; Sentiment_Subjectivity (from 0 to 1): 0.609444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Although not cheap, I don't think you can find a better burger or fish sandwich.  It is clean, comfortable and the service is excellent.  I highly recommend this place.  This is not your typical chain restaurant.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.294285714; Sentiment_Subjectivity (from 0 to 1): 0.677142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only thing that prevents me from giving Grimaldi's five stars is the poor service. The pizza however is excellent and so far the best I've had in NY (yes I have been to John's, Lombardi's, Patsy's, Totonno's, Una Pizza Napolitano, Nick's, etc...).   I usually get a large pie with just garlic.  I think too many toppings takes away from the quality of sauce and crust.  Eating a slice with a bottle of Brooklyn Lager and I'm in heaven.  Bon appetit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.270535714; Sentiment_Subjectivity (from 0 to 1): 0.634821429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unfortunately I went for brunch so I could not taste their more famous dishes like the Pollo Mirador.  I was however able to try their grilled corn which was excellent as advertised.  If you require a comfortable place to sit, this may not be the place for you.  It is very small and packed.  I'll be back for dinner soon...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.259375; Sentiment_Subjectivity (from 0 to 1): 0.680625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ordered the "Bufala" and the "Luzzo's" pizza for lunch on a Saturday afternoon.  The "Bufala" was a standard Margherita however the "Luzzo's" was a no tomato sauce pizza with cherry tomatoes and covered with arugula.  Both pizzas were excellent.  This is one of the best pizza's I have had in Manhattan and definitely worth a try.  I look forward to going back to try some other items on their menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.295833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 without a doubt the best falafel I've had in NY.  It is pricier that Mamoun's but definitely worth it.  The only falafel I thought was better was at L'As du Falafel in Paris. If I was rating Taim only for the food, I would give it 5 stars.  Since the place is so small, it is not the most comfortable dining experience.  The great taste however will quickly make you forget the crowds.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.358333333; Sentiment_Subjectivity (from 0 to 1): 0.585 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dishes I ordered was the "Dungeon" (I believe they meant Dungeness) crab with Nyonya House Special Sauce.  This Nyonya House Special Sauce contained what they called "Authentic" sauce.  I am not sure what "Authentic" sauce is but it is one of the most delicious ways to eat crab I have ever experienced.  Don't wear your best clothes though.  It is also one of the messiest things I've ever eaten.   I will definitely go again very soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.451298701; Sentiment_Subjectivity (from 0 to 1): 0.639249639 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good bowl of noodles for a very good price.  You can also get almost any part of the cow as a topping.  The main draw however are the hand-pulled noodles.  Each noodle is a different thickness proving that it wasn't made from a machine.   One word of warning, don't go for the ambiance or a classy dining experience.  I don't expect this place to get reviewed by Michelin anytime soon.  However once you start eating, you'll quickly forget the plastic bowl and utensils and the screaming woman working at the counter.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.326666667; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 typical fast food curry shop that you find in Japan like Coco Ichi  and Little Spoon.  The portions, price and taste was good.  The tonkatsu was better than I expected.  My only complaint was that the curry was not piping hot.  I wish the best for this little curry shop because it would encourage other Japanese fast food shops from coming here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.127380952; Sentiment_Subjectivity (from 0 to 1): 0.494642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 breakfasts I've had in the city.  I ordered the millet pancakes that had an almost overly moist texture however the taste was incredible.  Perhaps the best pancakes I have ever had.  I also tried the Eggs Benedict which were perfectly made.  The service was very prompt and friendly.  One drawback is that it's crowded and you may need to wait a while to get a table.  That's not the restaurant's fault though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.745833333; 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 restaurant has the most extensive pasta menu I have seen in NY.  Unfortunately we chose two that were not so great.  We ordered the Fettuccini Carettiera and Pappardelle  Al Pollo.  The Fettuccini had too many olives.  The Pappardelle's chicken was a little dry but the pasta and sauce were excellent.   I look forward to coming back to try some of the other pastas.   Hopefully I can choose a better one next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.140064103; Sentiment_Subjectivity (from 0 to 1): 0.539102564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my favorite Thai restaurant in NY.  Maybe you will find some dishes that are better at other Thai restaurants however from general quality level, this place is hard to beat.  The restaurant is also clean, spacious with attentive service.  Don't be discouraged by the Queens location, it is very easy to access by subway.  It is well worth the ride.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.251481481; Sentiment_Subjectivity (from 0 to 1): 0.624074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ippudo was one of my favorite tonkotsu ramen shops in Japan so I was very excited to hear that they would open a shop in NY.  There are however some notable differences between the Ippudo in Japan.  Here is what I noticed: 1. There is much more on the menu in NY.  It is more of a restaurant than a ramen shop.  In addition, there were different kinds of ramen in the NY shop such as miso, shoyu and tsukemen.   2. The only condiments in NY was a black pepper and also a sesame seed grinder.  In Japan, there is ginger, takana and raw garlic. 3. In NY, there was no pitcher of rooibos tea. 4. Cabbage was used in the ramen in the NY shop. 5. It is considerably cheaper in Japan. The taste was the same I remember having in Japan.  If you don't mind spending $15 for a bowl of ramen, you won't get a better bowl anywhere else in NY.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.192147436; Sentiment_Subjectivity (from 0 to 1): 0.5746337 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Looking for a casual lunch place in Soho, I found Snack to be the highest rated in the area. I actually wasn't very impressed with the food although I liked the cute ambiance. The place is really small ( 4 tables total) but our servers were extremely nice and accommodating. I got the chicken sandwich..I felt the chicken was bland and not spiced enough..i liked the bread and sauce but overall I really wasn't that impressed. My boyfriend got the lamb sandwich..which he enjoyed..so that might be a better bet?!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188020833; Sentiment_Subjectivity (from 0 to 1): 0.696875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Favorite pizza in the city by far. There's nothing like sitting on stone street on a pleasant summer evening and sipping a perone and eating Adrienne's pizza.  The pepperoni is so flavorful and crust is perfect.  Any time you're in the financial district and in the mood for pizza, this is the place to go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.793333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wife and I were in NYC in Jan for a weekend get away from San Francisco. I had heard about Snack after researching lunch spots in Soho and so we decided to try it. Bottom line is that it ROCKS!! Very cool, little, cozy spot with about 5 or 6 small tables. The food is amazing if you like Mediterranean and we love it. The lamb sandwich is off the charts for flavor and taste. Check this place out, you cant do any better!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220357143; Sentiment_Subjectivity (from 0 to 1): 0.642142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wife and I were so excited to have been able to get a table here last minute during a recent weekend in NYC. Unfortunately Pinto didn't even come close to our expectations based on the review we had read. The crab cake was dry and mealy and our entrees were less than stellar. The dumplings werent bad and in fact were the best thing we ordered. It was a bummer since we expected so much better!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.101388889; Sentiment_Subjectivity (from 0 to 1): 0.45625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Alright, alright, alright, alright. Alright, you close at 10pm something. Alright, I walk through a residential apartment hall to get to the restroom. Alright, dinner is a touch pricey. Alright, you're parking me into my table. S'aaaaaalllllll okay--- BECAUSE YOU ARE FUCKING DELICIOUS. And fucking cozy. And I admire your fucking integrity for making absolutely everything on site. THE GREEK SUN, I taste it in your food. YOUR MOUNTAIN TEA,  you put a serious dollap of wildflower honey in it that actually tastes insanely floral. If I was a rich girl... I'd marry you and I wouldn't change a thing. By the way, if one orders Snack's platter of samplers and drinks they're set. Have a friend help--- Snack's portions are generous.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.005833333; Sentiment_Subjectivity (from 0 to 1): 0.646666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always packed because it is fucking delicious. Everything is just scrumptious--- I love their variations on quail. Fried balls of yummy as well. This place is basically exceptionally good at pleasing everyone's tastes. The dishes are really creative without being overworked. They are really the OG of the nomming boom of New York where you pick a little this, pick a little that, and end up with a full belly and drunk mind. It also drives me crazy in the best way to see my food being cooked... I'd be a regular if I could afford to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.223951049; Sentiment_Subjectivity (from 0 to 1): 0.590882195 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Uh oh, uh oh, a no no. BRUNCH REVIEW Have you ever woken up feeling pretty good and then ATE A SHIT TON OF FOOD with a ginger margarita and felt so stuffed that you wanted to punt a fat kitten? I had the six pound huevos rancheros (very authentic tasty and amazerblade according to the ranchero connoisseur I was with) and a healthy sized ginger margarita--- I couldn't finish either. My friend opted for the traditional griddled eggs with bacon and a biscuit(?). I was in a harf daze, especially after our heavy app of doughnut thingers with quince jam. Me: harf harf harf harf harf harf harf dranks, talks, laughs, probably spittlin' a little bit. Dining companion: gently harfing, pretending he doesn't see me spittle, using his fork AND knife to cut things. Me: harf harf harf harf... oh my I am really full. *half-burp while holding my hand to my chest* Dining companion: (worried brow look) Are you okay? Me: Oh YEAH, harf harf harf harf harf harf---- yummerz. WARNING MORTALS: make a reservation. They do take those. It seems everybody and their baby comes to Cookshop for brunch and unfortunately get put on a list and wait FOREVAORR. Obviously, Manhattanites know baked eggs are superior to all others.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.12578125; Sentiment_Subjectivity (from 0 to 1): 0.7421875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Blue Ribbon is an industry standard, explained my friend, "but now everyone goes here." And yes, EVERYONE. The place was packed at 3:30am!!! Whoa. The bar was packed, the tables were all sat, and there was a line for the washroom. But, by some magical miracle we got sat immediately. Leafing through the menu, I was amused at all the playful diner items--- pierogies, hummus (11.50 wtf? Got it anyways, meh.), and motzah ball soup. I was knocked off my feet by deliciousness I didn't expect to encounter. The bartender made the best rye whiskey (toasty and anisey) and soda I've ever had. Very tingly and mellow at the same time, ahhhhhh. We had the oysters, burger, hummus (okay), and pierogies (whatevez).  The burger was very memorable, the beef was so fresh that it was aromatic--- mmmmm, you could tell it was ground just ten minutes ago in the kitchen. The best thing ever though: the oysters. Silky with just the right amount of toothsomeness. They smelled like pearls. I was tempted to lick the oyster shells, too. They also sent us lobster on the house because they liked us. Wow. If someone walked into my restaurant at 3:30am I would rush them out like crazy so I could get to bed--- but what did Blue Ribbon do?!?!?! They sent us lobster. I'm loyal forever.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.242724868; Sentiment_Subjectivity (from 0 to 1): 0.516335979 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Heartbreak in Washington Square Park. Me, having just stood in line for a long time. In my hands: a hot, delicious, extra spicy mixed vegetable uttampan with all of the accutriments. Lentil soup, vegetable soup--- all ready for me to pour over my thick, steamy pancake wafting intoxicating spices. Salivate. I run joyously to a bench to consume. I trip. My beautifully crafted six dollar lunch flies out of my hand. I manage not to do a face plant. People around me look at me sympathetically---- but that doesn't stop the (mind) tears.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.24375; Sentiment_Subjectivity (from 0 to 1): 0.571875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 feels like it's run by your friends. Charming and competent friends. Hell, it probably is if you live in the neighborhood. I got an ad hoc mint lemonade that was off the menu, fresh squeezed by our server because they ran out of listed item. She forgot to add the mint but I forgave her because she made it extra tart--- serendipitously just to my liking. Grabbing the hefty mason jar, which they use to serve all of their drinks, I took satisfying gulps while apprasing my friend's Berkshire Pork Chop. Very decent, juicy with a good amount of bite. The fat melted into the rest of the chop really well and carried the fresh herbs along. Simple and hearty--- no fuss but artisanal, much like everything else around this part of Brooklyn. I got this ridiculous pizza with pineapple, ham, and jalapeno. Sort of delicious, I was confused--- it was like eating something new and exotic like sushi for the first time. The pineapple tingled, the jalapeno burned, the mozz was silky and soothing. It's probably most akin to making out with Satan. The crust was bubbly and blackened but not as chewy as l would've like it. Walking out of the restaurant we were greeted by all of our friends in the neighborhood, a great and warm way to end such a comforting and relaxed meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.309366391; Sentiment_Subjectivity (from 0 to 1): 0.605834317 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 paying wayyyy too much not to have lumbar support. The friend that I took was crazy in love with a coconut squid dish. I really liked it too, except that it was so... mini. The pork buns were tasty taste, but I couldn't help feeling ripped off because they went by so quickly. Plus, Peiking Duck in Flushing is 75 cents a pop. The service was so rushed and nobody was really friendly--- except the cook I said thank you to--- who looked meserable. The exprience was sad, uncomfortable, and weird. Total bill: 76.87 plus tip. Oh, I ordered the uni and it arrived seriously bitter. I asked for them to take it back to the kitchen after having one bite and they didn't take it off my check. Wtf?!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.062820513; Sentiment_Subjectivity (from 0 to 1): 0.673076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stepping into this place, you'd never expect a Michelin Guide recommended experience--- but that's what you get. Relaxed but attentive service, your glass is never empty and your plates are cleared at a comfortable pace. It is some crazy, affordable, deliciousness, but if you like it spicy--- you'll have to ask for it. Sometimes they forget to mention the specials and I'd highly recommend you remind them to tell you. The skirt steak mole special I got was very satisfying. Only, you can't really order their cut of steak rare, it's better to get it to medium or it's unchewable. My friend went for the traditional chicken mole. The sauce was really gorgeous, thick and aromatic. However, it wasn't the best mole I've ever had (La Taqueria on the UWS). Their homemade tamarind and hibiscus drinks are flavorful and true to traditional methods of brewing but are too sweet. It was like drinking melted candy. The best though were the nachos, it was such a neat presentation for a messy dish and they gave generous amounts of everything you could want on top of fried tortilla chips. If you ever find yourself in Queens, definitely make a stop at De Mole.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217380952; Sentiment_Subjectivity (from 0 to 1): 0.643184524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 vegetable dumplings you can buy at 2 in the morning! Wonton Garden is crazy weird. The servers wear Hawaiian shirts, it stays open late every night of the week, and their menu is quite extensive for how small the kitchen is. Ahhh, an open kitchen--- that totally gets me going. What makes me even happier is that they have every single kind of condiment anybody could want to go with their dumplings. Red Vinegar Hot chilies in chili oil Soy sauce ...a smile? No, this is Chinatown, I'm pretty sure only indentured servants work here.   Tip well people so that they can get out of debt with their snakehead! Oh a happier note, DAMN their chicken curry noodle is PERFECTION.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.032142857; Sentiment_Subjectivity (from 0 to 1): 0.621472663 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think porn music plays in my head when I'm waiting for my churros at Barrio Chino. That hot crispy shell which has just the right amount of sugar and cinnamon magnetized to it.  The inside, so hot, perfectly cooked to dissolve in your mouth. Chocolate liqour dipping sauce? How could you make this bitch more perfect? It's pretty hard to get a table here at night, no ressies allowed but they do make concessions for big parties if you promise to be there. Killah props to them for givin' it up to Chinatown. That's right Barrio, you're boarding one of the most incredible food (really groceries these days) capitals in the world.  How will you step your game up?! Cactus. Pickled, crispy, zingy cactus. It is the yummers, I overdosed one day though and don't think I can have any more cactus until 2010. Meanwhile, I think I can eat 10,000 fish tacos in one sitting. Maybe it's because they are kinda puny, but mighty--- like a chihuahua. I am trippin'. I love the ceiling. I love the model bartender. I love the lunch--- much quieter, more relaxed, and cheaper.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3680839; Sentiment_Subjectivity (from 0 to 1): 0.610147392 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cannot order falafel balls here because I've reached my limit. I'd die. Instead, each time I order Babaganoush with Tabouli. YUM, and they really stuff it up. It comes out to 3 dollars. I love you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have spent a lot of money on this place. Le sigh. I'm tired of this place, but I love the burger. No matter what I do, I do not like anything here besides the burger! However, if I eat too much of the burger I feel sickly. So, the solution is to split the burger with a friend with two, four, six grand glasses of rioja. Or their red hen beer, oh yeah. Unfortunately, through all my visits, a sick feeling washes over me and I can't bring myself to step in. So salty and rich. Even the salad is too salty! But the burger is still appealing to me. The shoe strings fries are masterful, they have little thin garlics that are mixed in there for gorgeousity and crazy wonderful flavor. I could go for that burger right now, it is the best I've ever had. Triste.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103336466; Sentiment_Subjectivity (from 0 to 1): 0.626315789 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never had a bowl of Miso Ramen this good in my life, anywhere. The broth is so silky and rich I could have it as a meal just by itself. Immediately, there is a rush of briney goodness.  Then, as you slurp it down, all of the coaxing pork and sweet miso flavors comfortingly coats every square inch of your mouth and throat. Mmmmmmmm. As I chewed my bite of bouncy noodle my eyes lit up from the big grin I had on my face. The noodles were cooked so perfectly and were so fresh that it tasted almost milky. The generous pieces of  fatty, flame-charred pork put me past the edge of ecstasy. It was sooooo, sooooo, sooo good. Their teas are complementary, so drink up! I recommend sitting at the counter, it adds to the fun to watch them make your nom nom (My favorite cooking action: when they put a torch to the pork).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.29957265; Sentiment_Subjectivity (from 0 to 1): 0.495299145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Waited in line for a half an hour. The owner came out to entertain us.... by cat-callin' on the ladies. It made time pass by faster for sure. This would be a great trick--- to get guests hungry enough so that anything tastes good. My date was a VEGETARIAN--- NOOOOOOOOOO!!!!! This means I missed out on those delicious, crispy, almost blackened, pepperonis that endured so much heat that they came out looking like little suction cups. Another dude at the table who was not a vegetarian ordered the pepperoni and I was offered a slice. I nearly cried in gratitude. It was so, so, good and crispy at the bottom. So much bite and chewiness to the middle, and a touch soft on top--- with bits of super savory, ultra crunchy, salty, flavorful, yum yum. Come. I think somebody ordered a salad and it wasn't that bad. But don't waste your money like that! Save it for the Brooklyn Ice Cream Factory.  Just eat pizza... and for the sake of heyzeus get the pepperoniiiiii!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.239215686; Sentiment_Subjectivity (from 0 to 1): 0.469934641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meow, meow. Meow, meow. Meow? Meow! Meeeooowwww. But no meeeeowwwwwzah!!!! I tried all the dishes such as the zucchini that people suggested. It all felt a little over seasoned and over buttered. I do like sitting at the bar though, meow.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.020833333; Sentiment_Subjectivity (from 0 to 1): 0.416666667 [/INST] Not Spam</s>