Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I live a block from here, and this is a go-to restaurant. The veggie taco is a favorite, and their chicken tostada is delightful -- seasoned chicken, refried beans, lettuce, crunchy hard shell. And the spicy chicken soup is great, too. Also, I don't eat gluten, so battered fish tacos are a real treat. I do customize most of the dishes to my personal preferences, like the chicken is almost too spicy for my taste -- I generally like food to be mild-to-medium, and this is medium-to-hot. So I ask them to omit the jalepenos on the spicy chicken soup. Also, I am not a big fan of kimchi (go figure!) so I often ask them to omit. They are very accommodating! They are quick with deliveries, staff is friendly, and decor is nice. They also put a slice of cucumber in their water, which is a nice touch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.10966811; Sentiment_Subjectivity (from 0 to 1): 0.656746032 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 solid establishment. My roommate and I walked all the way up here from the 40's to prepare for an epic brunch with possible over-drinking and over-eating. After we got our freezing asses there promptly at noon, we were seated and introduced to the 'rules' of the sangria bar--namely, no double-fisting! Food: 3/5. The little cheese-buns that they serve as a starter bread is A-mazing. I love these things so much I asked for another basket of them. I seriously can't recall how many I ate (too many is the right answer) but they were so cheesy and chewy I couldn't stop. The strawberry butter they serve is nice and pungent as well. For entrees, I ordered the chicken quesadillas and my roommate got the rancho/ranchero? eggs. Both of our dishes came out incredibly quickly and the portions are large. My dish came with a great topping of guacamole and way too much sour cream (just scooped that off). The sauce and filling was pretty yummy, though the chicken had that odd taste to it where you know it's not the best cut of chicken. But hey, profit margins have to come from somewhere don't they? My roommate's dish looked pretty tasty as well, and she gobbled it up so that's good indication it was up to her standards. Sangria: 5/5. What a selection! From strong brews to more juice-like blends, there is something for you here! I started with the fresca and didn't like it so much, so I went for the tropical instead. I would have to say my favorites are the habana, tropical, and mojito. The red sangria just wasn't my thing, but that's not to say it won't be yours! At first I thought the best way was to fill my goblet up as full as possible, but I soon realized I didn't have THAT high of an alcohol tolerance so I devised a new strategy of filling up my glass partially to test each one before settling on a favorite and drinking up until the end of my meal. You'd think I would've figured this out faster but I guess I am just a rookie. Service: 4/5. Very timely, attentive service. They always folded our napkins between the time we left our tables for the sangria bar and when we got back. Every time! That's dedication. The only thing I didn't really like was when the waiter I asked for a 2nd basket of bread gave me the evil stink-eye. Not pretty! Also, the soft taco-cart man was not too nice either. But otherwise, wonderful wait staff. Ambiance: 4/5. It's bustling and loud at brunch (I mean, unlimited sangria...) but the decor is classy, the bar area out front quite posh, and the overall demeanor rather upscale. Upon closer inspection you realize things look a little plasticky but you're probably tipsy and won't notice. Definite a great place to take out of towners who haven't been introduced to the idea of drunk brunch yet! Fun experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.146390883; Sentiment_Subjectivity (from 0 to 1): 0.575608149 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so this joint is a spot that I have been going to for a few years now. It used to be at a different location but now has moved to the lobby floor of a hotel near Central Park. I had the chance to come here recently and I have to say that the atmosphere of the new location is much better. I like the Latin music they have playing in the background and it just feels like a fun relaxed environment with everyone smiling probably because of the awesome sangria but I will get to that in a moment. Now before I dive in this review is for their brunch only as that is what I have always gone to Calle Ocho for.  The servers here have always been super nice and helpful and this experience was no different. They started off the table with some complimentary bread which is awesome. I almost got stuffed just on the bread itself but had to pace myself to keep in mind that there was good food to be consumed. For the main, my friend and I ordered the Vaca Frita and the Cuban sandwich. The Cuban sandwich looked great and when I took a bite into it I loved the way all the flavors came together to compliment the juicy tender pork. For the vaca frita I will say that I was a bit skeptical about how this would taste. Now my issue with skirt steak usually is that it is a bit too dry for me but this place was actually really solid. The meat was pretty tender and the egg was cooked to perfection so I could not complain at all. I am hoping to go back to NYC soon to try some of their other entrees. Now one of the reasons I love this joint is for their bottomless FREE sangria (limit of one glass at a time). I mean honestly I don't know that many places that give bottomless free alcohol let alone really solid sangria.  They have four red and four white sangrias. Honestly I get one of each every single time I go there. Not sure that I have a favorite because I think each one of them are delicious. For those who don't drink that much the sangria is not weak so don't drink too many otherwise you will definitely be walking out buzzing... All in all, a solid brunch spot that will be definitely be visiting again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.228223226; Sentiment_Subjectivity (from 0 to 1): 0.535765653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since this place was recently featured on yelp as being hottest place of the month, I wanted to go check it out.   The interior decor of the restaurant fits with the area as it's pretty trendy and modern. There's huge leather private booths for large parties and then there's tables that are big and long so that you sit and eat with others on the same table. The kitchen is open so you actually see the chefs making your order. Most of the people who eat here are Japanese so if you look anything like Japanese the servers will immediately speak Japanese when they seat you and tried to take your order. I ordered what was essentially the spicy ramen with pork bits and vegetable with an extra order of noodles (I forgot the Japanese name of my meal). The toppings on my ramen is pretty skimpy but the focus here of course is the ramen noodles and the broth. So how was the ramen noodles?? It was really good, probably one of the best I tasted. It wasn't overcooked and you can taste the egg flavor. The broth is what make or break the ramen and here it was served steaming hot and the flavor was pretty strong almost too strong (the strength of flavor of the broth is comparable to miso soup but of course a different flavor). People around me were enjoying their ramen as you constantly hear them slurping their noodles and drinking the broth with their huge spoon. Overall the ramen noodles were good, the broth was strong and flavorful (it's good if you like that), but I think the meal was a bit overpriced. My ramen was $15 with the extra noodle but add in tax and tip and it gets to be almost $20.  And to me I don't think anyone should pay more than $10 for a bowl of noodles; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.240674603; Sentiment_Subjectivity (from 0 to 1): 0.457275132 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here with a friend when he had a travel budget from work, because as much as I try to deny it I am still on the broke-ass college student struggle bus in my post-grad life. Made last minute reservations on Open Table the day of and could only get a 10pm. I called and tried to sweet-talk the hostess into bumping it up to 9pm, we dualed and called it a truce at 9:30. Why then, Ms. Hostess, did you almost end up giving my table to the reservation-less couple ahead of me in line? There were also 5 empty tables by the time 9:45 rolled around.   Here's a review of our dinner menu- Beef Carpaccio - the very definition of classy and trashy, there was a Jenga-style presentation of french fries covered in fancy-mayo on top of a bed of shaved raw beef. The contrasting textures of the meat and the fries was wonderful and the flavors delicious (def: fries weren't dripping in oil but weren't soggy and limp). but I fail to see how it could have satisfied a whole table of 2+ as an appitizer. Pan Roasted Chicken - Reasonable serving (at least a quarter of the chicken), that achieved the difficult task of even-distribution of flavor throughout the meat without being dry. I wished I had ordered a full side of corn because the sprinkle that came with the chicken was DELICIOUS. Spiced Long Island Duck - The winner of the evening, the duck tasted vaguely smoked and the serving size was generous (~3 large hunks of meat w/ bone). I didn't expect the poached fruits that came alongside the meat but the contrast between savory and sweet was great. Serving size is definiately a big positive to this restaurant; while portions aren't oversized, each of the entrees was enough to leave one feeling full, which has not been the case at other similiar farm to table restaurants I've visited. Service was also solid with a waiter who clearly understood and enjoyed the food. The Californian in me is always skeptical of farm-to-table restaurants on the East Coast, but this place does it right.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.080120921; Sentiment_Subjectivity (from 0 to 1): 0.566156968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! I've been wanting to come here and try the pancakes for about 5 years now and I FINALLY made it. The first few times I tried, I did not want to wait over an hour to get in. This time though on a Friday afternoon around 1pm, the wait was about 30 mins and by the time we were seated I was starving! Blueberry pancakes with Maple Butter syrup was my choice entree. My boyfriend ordered the Eggs Benny with Ham and a side of Sweet Potato fries. I also ordered a homemade lemonade that was quite refreshing for a HOT day in NYC. As expected my pancakes were fluffy and delicious. The Maple Butter Syrup was so good, they should serve it in mug so you can dip everything in it! My boyfriend's Eggs Benny were pretty good as well (and it photographed well). The only complaint I have is that the ham was overcooked and tough. Maybe next time I'll try it with the smoke salmon instead. I highly recommend Clinton St. Baking Company if you're a pancake connoisseur! Be prepared for a wait though!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.177006173; Sentiment_Subjectivity (from 0 to 1): 0.639259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything about Cariño is good. The cute little space, the former Bonita staff that treats me so much better than a dirtbag like me deserves, the Fantastic Four photos on the wall, the eñe, the lime soup (with a wing submerged inside), the pork belly carnitas tacos, the Azteca (grilled skirt steak, grilled nopales and cambray onions, salsa pasilla) tacos... But the tacos al pastor. They are GREAT. Guajillo roasted pork, grilled pineapple, avocado sauce and crema...they are bursting with porky flavor, and god does that pineapple combo do it for me.   I just wish they were a bit bigger for the price. I had the soup and two tacos, and it just wasn't enough. $3.50 (or $4.50 for the barbacoa) is too much to pay for a taco that takes two real bites to eat (or 6 tiny little bites because I'm trying to savor the flavor).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.519230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We were lucky to  turn up at 7pm and get a table. The rest of the restaurant was already busy so I assume that it's generally best to book in advance.  We started with the Calamari which was cooked to perfection.  It came with a little pot of tomato sauce (pizza base topping) which did not seem necessary as it was cooked so well and would have just masked the flavour.  We got the vodka pizza which was very tasty, the base was thin, crispy and delicious.  We also got the Sunday special pasta with rigatoni which had three types of meat which was one of the better pastas I have had in recent memory (would highly recommend for anyone lucky enough to be dining on Sunday).  The NY strawberry cheesecake was also very good. Service was good, attentive but not overbearing.  Only downside was that the food came out rather quick...and we found out why when we had the bill on the table and got asked to move along quickly due to a prior reservation.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.167332251; Sentiment_Subjectivity (from 0 to 1): 0.633322511 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hands down my favorite place to brunch! I honestly wish there was a realistic way for me to have their breakfast every morning. That's the world I want to live in! Let me count the reasons to love Olea... 1) The wait is never painful - usually less than thirty minutes (at least when I end up going) 2) The staff is always friendly and attentive 3) The ambiance and decor is adorable! I almost feel like I'm in a real Mediterranean Tavern; and I love the benches with pillows! 4) They accept credit cards 5) The food is amazing! I often dream about their omelets, polenta, and tzatziki! 6) They serve alcohol - and lots of it! 7) Ummm and they give you chocolate when you get the bill! How did they know I love chocolate?? If I haven't given you enough reasons to eat here.... well screw you then, more for me!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.341105499; Sentiment_Subjectivity (from 0 to 1): 0.599382716 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nice little restaurant with a relaxed, East Village vibe. I came here specifically for the biscuits and gravy because I am a biscuit junkie. They did not disappoint; biscuits were flaky and perfectly done while gravy was nice and sharp--but not indigestion inducing. The only flaw I found is that they serve the biscuits not particularly warm. They weren't cold by any means but I think the execution would be better if they were warmed a bit more. Make sure you ask for the apricot preserves/confiture if you order the biscuits. It is absolutely amazing. Will be returning to try more dishes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309375; Sentiment_Subjectivity (from 0 to 1): 0.782407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite brunch in the entire world. I love house eggs, and I crave nothing more. I come almost every saturday, sometimes saturday and sunday, and alot of the time.. I go alone. I sit in my corner my the window next to the bar.. and I never need a menu. The espresso is very good and close the espresso I have had in europe, and I dont usually drink espresso or coffee, but I always order a latte or americano here because they know just how to make it. The staff is friendly, and low key, and the food never takes long to come. I hope moto stays forever, and I will forever visit moto. Love always.- Mel.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.24875; Sentiment_Subjectivity (from 0 to 1): 0.54625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pricey and not the best for me, being a vegetarian and all. You get the full hipster taxidermy decor with the EGO.  But this place has a great atmosphere when it's not super crowded. get the mac and cheese and thats pretty much all i can recommend. Everything else -- slabs of beef or rabbit or some random crazy meat illegal to kill in most states.  I think that's where Freemans gets its charm.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.193939394; Sentiment_Subjectivity (from 0 to 1): 0.601515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What an experience!  Have a seat at the bar and enjoy the show, it is unlike anywhere else in nyc.  I plan to make this a frequent place for other locals and friend and family visiting.  The food is excellent and service so friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.535 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Beautiful little hidden gem in LES; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165277778; Sentiment_Subjectivity (from 0 to 1): 0.611111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can't stay away from this amazing place. The food always hits the right spot. 5 stars from me. If you haven't tried yet you're missing out. Pork belly sandwich and the Breakroom burger are finger licking gooooooooood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.228571429; Sentiment_Subjectivity (from 0 to 1): 0.495238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 areal deal NY Slice.  Ive visited so many places that claim to be the best but Prince St really it.  Get the white Slice with Prosciutto and thank me latter.  The regular slices are everything you could dream for and the Square slices are killer.  They are no L & B but hey they also much more acceptable. The only downside is the pizza can be a bit pricey but it is totally worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.277777778; Sentiment_Subjectivity (from 0 to 1): 0.297435897 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nish Nush is located on the corner of Church Street and Reade Street in Lower Manhattan.  On the outside, trim is dark and masculine and the words Nish Nush is made up of large, rusted metal letters.  There is even a large metal N on the door handle.  Inside the place is modern with some exotic touches.  There is an open fridge for cold drinks, one large table for either a large group of up to 12 or communal sharing.  There are 2 tables that can seat four and the rest is counter space. All tables and counters are high, so chairs are small bar stools.  The counters are covered in dried chickpeas and a plastic laminate surface on top. Workers are young and happening.  I had the Popeye falafel which has spinach, red cabbage and mushrooms for $7 and an iced tea with ginger for $2.99.  My bill was $10.80 in total.  First having a sip of the ginger tea, the ginger makes it spicy and fresh.  It is unsweetened, but having bits of minced ginger really makes it difficult to get a sip without bits of ginger in your mouth.  I think grating some ginger juice and mixing it in the iced tea would have been a better idea.  There might have been 4-6 falafel balls in one sandwich.  The green of the spinach mixed with the red cabbage is extremely pleasing to the eye.  I put the squeeze on the bottle of tahini, because the sandwich tastes a lot better with more than less.  The pita bread is house made and is the regular, thin pita, fresh but unexciting, unlike the pita bread from my hood, which is freshly made, fluffy and has thick, yet soft insides.  By the way, I didn't see or taste any mushrooms, but the sandwich was colorful and fresh. On another occasion I tried the Classic Forever for $6.00, which is a regular falafel sandwich with hummus, Israeli salad and tahini.  I had this one to go, so I asked for the tahini on the side.  The Israeli salad consists of tomato and cucumbers and dill.  The ingredients are fresh, but these falafels are not your regular falafels because they are lacking garlic.  They also charge $1 if you want a whole wheat pita.  The Classic Forever and the Popeye didn't have garlic either.  They did include a green hot sauce with my order, but I didn't use it.  Nish Nush falafels are great for when you crave falafels and are busy working, that way after you eat the falafel and you won't have garlic breath all day and all night and coworkers won't be afraid to approach you. This place gets really busy during lunch time, and lines start to build and get long.  Sometimes the place gets so crowded that patrons waiting to pick up their order stand so close to the counters where patrons are trying to dine.  Not the best, tastiest or cheapest falafel I've had, but falafels are fresh, decent and very pleasing to the eye.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.103133503; Sentiment_Subjectivity (from 0 to 1): 0.439465267 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hate to say it, but Saraghina let me down this morning. I've eaten dinner here twice before and been very impressed with the pasta and pizza, so I brought by boyfriend here for brunch today expecting to be wowed. No such luck. We ordered eggs florentine and french toast. French toast was fine but not special, and the portion was small for the price. Eggs were downright bad - over cooked, tiny amount of hollandaise sauce, extremely tough bread. At one point I was using to much force to try and cut through it that my hand slipped and slammed my hand into the plate rather painfully. Just no fun to eat. Service was also unforgivably slow. Overall, felt like $40 for two people should've gotten us a nicer meal, especially at a restaurant that executes some of its menu so well. Won't ever be back for brunch. Also, what is up with not taking credit cards? So irritating and bad for customers. Now that I think about it, maybe I won't ever bother going back for dinner either.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.141197691; Sentiment_Subjectivity (from 0 to 1): 0.469408369 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh Oasis how I miss you! I used to stop by this Williamsburg spot on my way to a friend's house. For $3 you get a little package of green goodness with hot sauce. The store (basically a counter with some tables) is nothing to write home about but still... thanks for being reasonably priced and delicious.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.210416667; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know - that's a lot of stars. This place is great but I am not a reviewer that routinely gives 5 stars. However, in context this place deserves 5 stars. To explain: I lived in Brooklyn from 1972-1990 - cobble hill until 1985 and a few blocks from The Islands from 1985-1990. I have lived in California since. I currently live in an area that many people consider to be the home of the best food in the country. However, as a New Yorker who doesn't visit home that often I have, perhaps, romanticized memories of certain food from my childhood. I went on a lengthy NY vacation to see friends and family and had enough time to hit all of my favorite places. Places that I compare similar food to now. The comparison is based on a foggy memory, but one that up until this trip, I was sure was accurate. I went to Kosar's for bialies. I have been making them at home based on my memory of what they should look like and taste like. It was a childhood favorite. I had Kosar's on this trip and the bialies were too  dense and didn't have much flavor. My home baked bialies are 10 times better. I went to Venierro's for italian cheesecake. I molded my wife's recipe to my memory of Venierro's cheesecake over the years that she has made it for my birthday. I had it on this trip and the crust was soggy and gross and the filling was too sweet and not very interesting.  My wife's cheesecake is way better. I had a similar bad experience with Joe's Shanghai (not a childhood restaurant but I have been going there for at least 15 years). The soup dumplings were excellent as usual but all of the other dishes were mediocre. I wanted to try authentic jerk chicken because I have been making jerk sauce at home for a while. I never really ate Caribbean food when I was growing up. I have gone to some Caribbean places in NoCal but they haven't been anything special. I read about this place on Yelp and it looked like it had the best reviews. They good reviews are well deserved. Certainly the best jerk chicken I ever had. I couldn't order it super spicy because my wife wanted to try some but the chef heard me ask for hot sauce (which at The Islands is a small dish with a diced up habanero) and said if I told her when I ordered she could have made it super spicy. It was tender and soft and incredibly flavorful. We also tried the mac and cheese side which was good. My wife got the calypso shrimp which was great as well. I ordered the small chicken and it was more than enough food for one person with a big appetite. The ambiance is quirky, to put it kindly. Cramped and uncomfortable is probably a more accurate description. It is a loft above a tiny kitchen with maybe 5 tables and a ladder to get up there. The wait staff (I think one guy) is nice and attentive but with 5 tables you could be out of luck if you come far to try the food (or if you are claustriphobic). I think they do more take out and delivery business (no liquor license and they charge an extra $2 if you eat at the restaurant). This place got 5 stars because after all the anticipation of having an extended NY stay to have all of my favorite foods - all of which disappointed - the one place that I went to on more of a whim was the best meal I had for the entire 9 day trip. Under normal circumstances, it would probably get 4 stars. Since it nearly made up for the other disappointments, I give it 5.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.206272471; Sentiment_Subjectivity (from 0 to 1): 0.572231915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 guys are really the standard. if you are within 5 blocks of them and you are in the mood for halal, the trip is definitely worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.1 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Our waiter comes up to us, apologetically. "Excuse me? The owner..." We were (I am a nerd, I know this) having our first book club meeting, had finished our entrees, didn't want dessert, and were nerdily lingering over the rest of our wine. I had already finished the waiter's sentence in my head ("...needs this table for a party") or something like that. But no! "The owner opened a bottle of wine last night and asked me to give it away tonight, would you like it?" Um, yes? Also, the pasta was delicious (I had a spinach fettucine with lamb special) and the atmosphere lovely. A haven on St. Marks.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35327381; Sentiment_Subjectivity (from 0 to 1): 0.461904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Joya is at the top list of Thai restaurants in Bklyn!!...I love their big portions, ambience which is very hip & trendy, and their pricing is very cheap and affordable...Joya is a great spot to go with your friends, and during the summer love to sit outside and have martini's...:); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.412; Sentiment_Subjectivity (from 0 to 1): 0.571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 creme de la creme of the macaroon world! Be ready for a long wait, regardless the time of day. Amazing consistency, but I had recently tried a box of no brand macaroons, directly from France (courtesy of an old childhood friend of mine). And there was NO comparison. Overall a great first try kinda macaroon. As far as flavors...Earl Grey? Can never go wrong w that ! Check out a few more flavors (& lovely pics) on my food blog! eatabletreats.blogspot.c…; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.156666667; Sentiment_Subjectivity (from 0 to 1): 0.472222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to Firenze, Roma, Venezia, and Bologna...this spot reminds me of the quaint bars/restos that are ubiquitous on every corner in those Italian cities. Such a calm, understated decor...so comfy and chill...zero pretense. * Lots of sophisticated-looking women reading books at the bar...BOOKS! * Lots of attractive couples on dates * Lots of European crews with sweet accents * Lots and lots of wine options...but only 2 draft beer options ** I realized why there was an abundant amount of girl-dates sitting at the bar...handsome bartenders **; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.265625; Sentiment_Subjectivity (from 0 to 1): 0.60625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just found a brand new deli and it is AMAZING.  It's not your typical deli.  This is by far the best deli I have ever been to in NYC.  If you are looking for a deli that is not ordinary by any means, this is the place to go.  They offer sandwiches, salads, hot food, cold food, pasta, ready-made and for-order sushi, pasta station, pho, udon, and a whole section of gourmet cookies/snacks.   I highly recommend anything in this place.  I love love love how spacious it is and the seating area upstairs gives you a birds eye view of the whole deli. Check it out if you're looking for food that tastes like home cooking.  You won't regret it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.253906926; Sentiment_Subjectivity (from 0 to 1): 0.617467532 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Couldn't be happier with the service, food, atmosphere, or pricing. The pork hock was unbelievably good. The hostess with the mostess did her best to seat us super promptly during Saturday primetime dining, and then also helped accomodate or seating preference (next to each other, so we could catch up). I'd pass next time on the caramel pudding, but the Wilamette Valley pinot was fairly priced and did the trick for the whole meal. Good job, Joseph Leonard.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.389814815; Sentiment_Subjectivity (from 0 to 1): 0.426851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first 5 star I have given... I'm still on a high from the hanger steak I had there last night.  For the last few years we have gone only for brunch, and besides having to wait it is a real good experience.  It has a great atmosphere, like a real high end diner look to it.  Anyway they have a great brunch menu and you get two drinks with it (like mimosa or bellini) and coffee I believe.  The crabcake benedict is the bomb. Anyway the service is good, staff is friendly and we couldn't believe how good an option this place is for dinner.  It is on the high end of $$ but worth every penny.  I got the hanger steak last night with sweet potato mashed and asparagus.  The steak was cooked to perfection, charred on the outside and perfectly tender and medium (as I requested) on the inside.  They have an extensive wine and beer list as well (beer all bottled); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33175; Sentiment_Subjectivity (from 0 to 1): 0.487833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 live in Astoria for 3 and half years now, and I really wanted to go to this place for a long long time , then I went last Thursday with my husband and daughter ! I don't know why people are exaggerating about this place , it's normal for me ! And actually below the normal because , first me and my husband had very very bad diarrhea and the only thing common we ate was the GREEK SALAD , we loved it but DIARRHEA !! No way , and other thing too, it was like always crowded , I was sitting with my husband in a very narrow place in the middle not on the back or the side , but I couldn't even move my legs or put the stroller for my daughter ! I felt I'm sitting in a box to eat ! It was like very bad experience , especially with the stomach pain and diarrhea ! No way I will go there a gain or invite any of my friends there !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.040371573; Sentiment_Subjectivity (from 0 to 1): 0.447380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loooooong waits if you go at popular times, but you can get an app that will let you track how much of a wait you get, which is kind of cool. And the food is well with the wait. I usually get the akamaru ramen. Love it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.354166667; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a really nice little spot. The music is mixed and so is the crowd. On the Friday evening when I went, I enjoyed some reggae, dancehall, soca, house etc... The DJ's were really good at their craft. The layout of the place is really functional. Having the bar in the center of the establishment makes the movement of foot traffic much better. I'd recommend Fat Buddha bar to anyone just looking to dance, move their body and groove to some great tunes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.334722222; Sentiment_Subjectivity (from 0 to 1): 0.511111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ain't nothing wrong with this place.  The food was tasty, felt like a real restaurant and not a thai dive inside (not that I dislike thai dives), service was just fine by my standards, and it was cheap as hell.  If I lived in Park Slope, I'd be here all the damn time.  Definitely thumbs up.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.103333333; 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: Never have I been treated this rudely in a take out place. I walked in, looked at the menu, stood at the counter. Two guys walk in behind me, they stand at the counter, and the food prep guy takes their order. I'm forced to wait even though I'm ready to order. Whatever, I went to the register to place the order, the guy doesn't understand anything other than "Chicken Gyro" - I tried ordering an appetizer, my mistake. In mid-sentence he runs off to talk to some guy in his native tongue that was getting napkins. He comes back, I place my order again, again MID-SENTENCE he turns to the guys who came in after me, by now they have their sandwiches, and starts ringing them up!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.217857143; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new restaurant downtown! The food was superb. The staff was diligent in ensuring no one was left wanting. There's something on the menu for everyone in your party. Loved that the whole front of the restaurant lifts to create almost an outdoor dining experience. Will definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.410064935; Sentiment_Subjectivity (from 0 to 1): 0.486363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 staff here is friendly, the booths have their own TV so you and your group can watch the game you want to, and the drinks are decently priced for the area. The food is also good. I only have one complaint, which is enough to bring it down to four stars from five: The quantity of the food is ridiculously small on a plate for what they market it as. I ordered a plate of coconut shrimp (the day's special) and got three shrimp on the plate. Those three tasted great, but not really enough to make up for there only being three. Anyway, I'll definitely go back, but more for the the drinks and the sports than anything else.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.149578373; Sentiment_Subjectivity (from 0 to 1): 0.554811508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Superb!  Took a day trip to NYC to see a Rangers game and then went  to see  Wicked and had dinner here after the show.  We were obviously exhausted after a long day and were able to unwind and relax in the great atmosphere this restaurant provided.  Wife and I both ordered the squid ink seafood pasta.  It was loaded with tons of shellfish and the black squid ink pasta was amazing.  We ordered a slice of cheesecake for dessert and it too was wonderful.  The wait staff were very nice and very attentive.  We left NY completely satisfied that night after seeing a great hockey game, a great show, and then ending the evening with an amazingly delicious dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.404901961; Sentiment_Subjectivity (from 0 to 1): 0.712254902 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got take out from Emily about a week ago. The food was great, even though the portions are a little small. However, tonight I wanted to call, order and pick it up. I have called a total of 11 times and the one time someone did pick up they immediately hung up on me. I work in retail management and no matter how busy you are you ALWAYS answer the phone. Apparently it's their policy to not pick up the phone during service hours because they get too busy. The place was barely full last night! I've never in my life heard of a restaurant that operates like that. Also one where you can walk in and get take out but heaven forbid you want to call ahead of time. I've been to much busier places that have the wherewithal to know that you answer the phone, take reservations and do take out. Emily put a really bad taste in my mouth. I will no longer give them my business.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.042045455; Sentiment_Subjectivity (from 0 to 1): 0.439393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Based on the very solid reviews, a friend and I went to Bahche on Saturday night.  I am completely boggled by all of the four-star ratings.  I had a chicken pesto panini that tasted off -- there's no other way to put it. I took home a spinach phyllo pastry to go, and it, too, tasted off.  Both featured a weird bitter taste and an odor I'm going to refrain from characterizing.  But I don't believe the food had gone bad -- I think this is how their food tastes.  Mediocre and unremarkable are two words that come to mind. I've never actually written a negative review on Yelp -- I don't feel good about doing it, and figure there are others out there who will.  But after having a really disappointing dinner for two last night and knowing that $50 (including a 20% tip) could've been much better spent, say, at Cubana Cafe on 6th Ave, I really felt like I needed to.  The menu is very brief, and some reviewers had noted that.  They don't really serve "dinner," per se, although they said they are testing one or two entres every night.  Maybe this is a better brunch place?  Maybe they're better at catering? As others mentioned, the space is huge.  And looks it when empty -- there was only one other table occupied in the entire space on a Saturday night when lots of people were out.  You'd think the service would've been attentive, but I can't even say that was the case!  I will give the waitress the benefit of the doubt and presume she was new.  When a table of two orders one dessert, isn't it customary to serve it with two utensils so it can be shared? Last, the street is not inviting at night.  I've lived in Bklyn for 20 years and I get it -- this area is turning around, millennials are moving in, etc.  It's Gowanus, not Park Slope. But the street the restaurant is on is not one you'd be inclined to walk down, and indeed no one was anywhere in sight when we left around 8pm.  There's at least one body shop on the block and many of the buildings are either still warehouses or they're not currently being used; however, it was too dark to know for sure.   So all that said, I just don't get it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.019808802; Sentiment_Subjectivity (from 0 to 1): 0.486304473 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: good quality sandwich. really cheap. if you want to just grab and go, this is your spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If it was possible to give 10 stars,I would...delish!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I made the mistake of ordering a pie for 4 people after we dined at Han Dynasty and Baohaus. It was an even bigger mistake considering how I felt the next morning. But an artichoke slice is so good when it hits the lips.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, small cramped place, but beautiful interior design. For a small place, they were still able to manage to divide dining into three areas: a private group dining room near the entrance, a sushi bar along the corridor and finally the main dining area at the end with small tables (this is where we ate and the tables were small and too close to the other customers). Despite the tightness of the space, the seating is still reasonable. Also, it is compensated by the gorgeousness of the interior design (except for the mediocre bathroom - but I can forgive that). It highlights the best of Japanese minimalism but with a touch of New York's urban sleekness and coolness. As for the food, delicious. I ordered the Berksheir (sorry, couldn't remember the right spelling) Katsu, some kind of breaded pork. Thick (a bit too thick for me) cuts of meat. Also, I thought I ordered the pricier bigger version but still found the serving small. Cooked well, tasted great. Their side sauce for the meat was delicious, even comes with a mortar and pestel to grind the sesame seeds to combine with their sauce. The entree also comes with miso soup and salad. The salad equally has a very tasty dressing, made fresh. Tip: the salad is refillable (well-shredded fresh lettuce). Overall, gorgeous interior design (urban minimalism), great food despite the place being small. I would come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.171414331; Sentiment_Subjectivity (from 0 to 1): 0.511805081 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Pylos with high expectations given all the strong reviews.  As someone who knows Greek food very well, I can say that Pylos was an enjoyable all around dining experience.  However, I would say that the food represents a bit of a modern spin on traditional Greek dishes.  We ordered the artichoke moussaka (a spin on traditional moussaka), a cheese pie with beef and tomato in phyllo (a spin on traditional cheese pie), and then the lemon pork shank, and lamb shank. All dishes were very tasty, my favorite being the pork shank.  The service and staff was friendly and attentive, and the prices relatively reasonable.  Would definitely recommend.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198020833; Sentiment_Subjectivity (from 0 to 1): 0.532708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place! Went here with some friends earlier this month and we had such a great time. Our waitress was really nice and gave us awesome recommendations. Everything was delicious and fresh, the atmosphere is cozy and feels like you're in Montauk (in a good way). We came here for lunch which I think is perfect.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.529545455; Sentiment_Subjectivity (from 0 to 1): 0.745454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rarely in this part of town, but should I find myself there around brunch time again, Fitzcarraldo is a must. Besides obvious Herzogian bonus points, the space is rather lovely (although the view is more or less industrial wasteland). Attentive server, the slow scrambled eggs and spicy potatoes were delicious. Red Snapper was perfectly spiced, and the taste of a friend's polenta with ricotta, leeks and a poached egg was divine. Curiously, our table of 5 were the only patrons. Business should be booming...I hope people realize they survived the 3rd Ward disaster.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.241025641; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered the "Costilla De Res" WOW. Order that for sure. The soft and tender and flavorful short rib has a perfect amount of seasoning without being too salty. Under it is a boniato purée, ohhhh my goodness it is so buttery and creamy, soooo amazing. I've never tasted anything like this. It's a special little flavor. The brussel sprouts were tasty as well but I think would be more successful if they roasted them as thin layers and not whole; many of those were hard to eat/raw. El Almacen is a perfect romantic dinner place, the price range is not for a place to visit all the time, better to indulge and treat yourself to this restaurant every once in a while.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.289880952; Sentiment_Subjectivity (from 0 to 1): 0.661881419 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How did I forget to yelp this?  After seeing some photos on NYT, had to come here to check out the food on a weekend trip up from DC.  We scrapped a vacation to Greece this summer, so sitting down at the bustling tables of Kefi was a nice consolation prize.  We started with spicy oyster shooters, followed with a server recommended bottle of red, devoured the grilled octopus, this is a MUST order. We also got the mussels which were good, and I realized I'm not a huge fan of sweetbreads, although the Lady loved them.  Our server was attentive without crowding and did a great job with the crazy crowd that weekend night, and she got us out with enough time to make our Broadway show too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.224444444; Sentiment_Subjectivity (from 0 to 1): 0.663888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I hate to drop my ratings on these guys since I still like their food. But they have been raising their prices consistently to the point that its not really affordable anymore. Expect to pay close to 10 dollars for their cheapest plate which is a half chicken and rice. The ribs are more than 10 and the combo is 15 bucks. It still tastes good, its just getting a bit expensive to eat here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.089583333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place to go for pizza with a group of friends.............. Only negative if you sit downstairs you may be close to the bathroom.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I prefer the beef stew noodle soup. The curry chicken noodle soup is so so. It's a good recommendation!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1375; Sentiment_Subjectivity (from 0 to 1): 0.775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a rainy Sunday, and when I say rainy I mean monsoon like weather which caused us to sprint here from the previous bar. For our group it was a nice spot to grab a beer and a bite to eat. As others have mentioned, the meatloaf sandwich was really good - It was less like the meatloaf I grew up with and more like a burger, but that's not a bad thing. I liked how you paid for the food upfront as when we were finished we could simply get up and leave rather than sit around for a check. They have a couple outdoor tables that would be a great spot to chill when it's not raining like a page out of Jumanji.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.290416667; Sentiment_Subjectivity (from 0 to 1): 0.559464286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Italian spot in UES... everything was fresh, good wine selection, good service... Good for groups, has room...; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.533333333; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oy. When I was a boy, back during the Pleistocene era, my parents would take us kids to the original Patsy's up on First Avenue in Spanish Harlem. It was old school Italian, and I have the most wonderful memories of pizzas there. Also, lots of black cars on the block. Trekked here from California to get a taste of the past. It didn't taste like the past. It tasted like an okay pizza made in an excellent oven.  We got it with mushrooms and sausage. The sausage was reportedly tasty with fennel, which was nice. But the pizza itself? Dare I say it?  Not so wondrous as I remember. Oy. Is it the pizza, or it is me?  Probably both.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261309524; Sentiment_Subjectivity (from 0 to 1): 0.444047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome new place that's totally going to liven up a somewhat 'eh' neighborhood.  Beautiful decor (super trendy), specialty cocktails (try the Westside Mule, delicious) and yummy menu (truffle fries, hellooooo). Has a great upstairs space for private events that overlooks the bar.   Best part of the place? OUTLETS UNDER THE BAR TO PLUG IN YOUR PHONE. genius.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.571969697; Sentiment_Subjectivity (from 0 to 1): 0.719621212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I could personally drag everyone in New York City to this amazing restaurant, I would. Sadly, I can't. So you should take my word when I say this is the BEST Polish food I've ever had. Also, very cheap! It's quite a find. I want to describe my favorite dishes, but the list would go on forever. You can't order something here and be disappointed. I promise. Food aside, I also have to plug the owner, who is so nice and wonderful and who found my iPhone in the park and returned it to me. So please go and support them. I want to keep them up and running!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313636364; Sentiment_Subjectivity (from 0 to 1): 0.738537879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great spot right across from Hotel Americano. I had the fried artichokes -- to be honest these were the best I've ever had. So damn after-tasty. Along with that I had a "brutta ma buona" (ugly but good) pizza and I shouldn't have eaten the whole thing but I did anyhow. Pizza was good too but next time I swear I'll just ask for three orders of the carciofi and a bottomless glass of wine.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.398412698; Sentiment_Subjectivity (from 0 to 1): 0.565079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm sooo happy New York is so diversified. Most days I crave something different from burgers and subs and Woorijip is one of my favorite places to eat at. I can't vouch for the authentic part but there's definitely something for everyone. They make soup by the bowls in the back, there are kimbap rolls (korean sushi), clear vegan noodles, a hot buffet, beef and white rice, soooo many interesting yummy things to choose from. I love that they have meals already freshly made, portioned and packaged or you can build your own meal by putting together several smaller things (garlic chicken, egg pancakes, noodles, rice, veggies). I didn't give the full 5 because the aisles are soooooooo tiny, people are always bumping into eachother, it drives me nuts!! Good condiments Microwave Drinks Ice cream desserts sake packaged korean foods Woorijip mugs/tshirts, etc. for sale. And finally it can be as healthy or junky as you'd like. I love that I can mix up my flavors and still enjoy eating right.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.271188071; Sentiment_Subjectivity (from 0 to 1): 0.569392336 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tasty dinner entrees at affordable prices! My friends and I met up for dinner and I honestly didn't know what to order only because all the entrees sounded really good. I ended up going with the Miso Glazed Salmon plate with salad and brown rice. The salmon was delicious (not overcooked and the sauce/glaze wasn't too sweet) and the portion was big! At only $10 a plate, I was stuffed. My friends ordered a salad (looked okay) and the chicken curry (this was delicious! I'm definitely ordering the curry next time).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.295833333; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here last night with a few friends.  I had the mussels that were ok, and the shrimp & lobster grits that would have been better if the seafood was not overcooked.  Staff and ambiance was great...My food?  Not so much.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.273333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came with a large eclectic crowd and everyone loved their selection of drinks and food. The salads and appetizers were a bit expensive, but worth it. A surprise quaint appetizer from the chef was a lovely touch. Would definitely go back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.202380952; Sentiment_Subjectivity (from 0 to 1): 0.463095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the ceviche!!! Michelada also delicious.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.98828125; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here just after new year. Really enjoyable experience. The DAR burger was absolutely fantastic as was the tagine one of my friends had. Very reasonable price too and good service.; Max_Daily_Reviews: 9; Sentiment_Polarity (from -1 to 1): 0.399272727; Sentiment_Subjectivity (from 0 to 1): 0.666909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hmmm.  This place is really good for certain situations.  It's seriously CHEAP in a way that's tough to find in the neighborhood, so it's good for take out or going with friends when you're all broke.  The food is straightforward and decent.  The atmosphere is kind of trying to hard to be trendy or something, and the service was really unfriendly, although really fast.  You kind of feel like you're being pushed in and out as fast as possible because with those cheap prices, they'll only make money if they can turn over customers quickly.  So there's some pros and cons, but overall a good place to have in the neighborhood!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.294186508; Sentiment_Subjectivity (from 0 to 1): 0.639404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Valentine's Day and were seated without a wait.  The restaurant looks small, but there's a downstairs with different rooms.  Pretty cool, unique atmosphere.  Food smell traveled throughout, though.  Seated downstairs, you really don't benefit from the live music, so that was a bummer.  When we left and passed through the front room, I felt like I missed out. Downstairs is romantic and nicely decorated.  Food was very good.  Had the croquetas de jamon serrano (serrano ham croquettes, tomato salsa) for an appetizer.  Entree, I had the salmon rio miel (salmon, orange glaze, onions, string beans, hearts of palm).  The dish overall was very tasty, the salmon, however, was much chewier than I (or anyone, for that matter) would prefer.  Bf had the pollo guajira (chicken breast, sweet plantain, mozzarella, mushrooms, zucchini, white wine sauce) which he simply described as "Nom nom"--his portion was pretty big.  For dessert, we shared the bombon cubano (warm chocolate cake, molten core, vanilla ice cream) which was absolutely delicious, though not the best when I recall similar desserts.  Still, highly recommended.  Puerto Rican bf well-versed in Spanish cuisine was happy with the meal. The deduction in stars is mostly due to our unenthusiastic, unwelcoming and never present waiter who undoubtedly didn't want to be there.  Perhaps because it was Valentine's Day, or he just hates his life, not sure.  We constantly had to ask for him, whether it was for water, to order, to pay, etc.  He forgot things we asked for and certainly never checked to see if we needed anything.  Upon being seated, (and after we flagged him down) we inquired about the Valentine's Day Prix-Fixe.  When we decided against ($150 for two, which he regarded as a really good deal, though, if you did the math, wasn't  much of a deal at all depending on what you ordered), and ordered off the menu, he seemed annoyed.   The service wasn't entirely terrible, we had an excellent busboy who we were tempted to hand the entirety of the tip to.   Would go back sans that waiter and if seated upstairs.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.163940134; Sentiment_Subjectivity (from 0 to 1): 0.51499186 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 used to LOVE Bogota Latin Bistro.  But I had to give it only three stars today.  Just went there for dinner and was told that they ran out of the chips they offer at the table as a free appetizer.  We were told we could order from the menu instead.  Most decent restaurants in NYC at least offer something if not just bread while you wait on your food.  While I know that these things happen, I really hope this isn't a sign that they have decided to start skimping on their service.  The food was still amazing and I hope my experience was just a one off.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.258333333; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My two best girlfriends took me here for my birthday this year. We have a thing for french food, small dishes, and anywhere with good wine. This spot is AMAZING!! Super cozy and our waiter was VERY attentive. Odd thing though, the decor does not match the whole french vibe. All three of us were a little confused. Although the setting was quite intimate, we felt like we were in one of those "wants to be trendy" Thai restaurants (think Spice). Besides that, FOOD was delicious and they were all small portions so we had many dishes to choose from and try. My favorite dishes that we shared were the escargot (so good we got 2!), chicken liver mousse (this was my absolute FAVORITE!! I couldn't get enough and goes perfectly with the bread in the sack), and the 6 oz filet mignon with fries (entree dish - medium rare and cooked to perfection!). The other things we ordered were ok, but those three were my top choices. One awesome thing about this spot is their wine flight happy hour from 5-7! 3 SUPER generous glasses of wine for $10! There are a few options to choose from, but I loved my choice (can't remember the name, but it had a rose wine among the three). I HAD THE BEST BIRTHDAY DINNER HERE and CANNOT WAIT TO COME BACK!! :); Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.352809829; Sentiment_Subjectivity (from 0 to 1): 0.615598291 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh the spooks of Halloween night in NYC. The crappy rainy weather as we watch goblins, clowns, and super heroes trotting along in the rainy weather. Great for 30minutes, but now this demon and her friend are cold and hungry. Where do we venture to before heading to the next scary Halloween event! HINT: Joe's Shanghai. Nothing hits the spot like puncturing a hole in the delicious dumpling and having the broth pour into your spoon as you sip the soup. Then eating the dumplings. Also its always entertaining to watch friends eat it for the first time and burn their mouths on the dumpling since they don't know any better and chomp on it right off the bat. Seating is a pain unless part of big party (so hopefully you are popular) if not enjoy sitting with strangers. Note: when someone doesn't tip its because the restaurant automatically adds 15% gratuity. For those who gave my friend and me the dirty look, learn to read!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.14957483; Sentiment_Subjectivity (from 0 to 1): 0.62755102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got there around 8 pm on a Saturday night without a reservation. We were told that there was an hour and a half wait but it was also possible to get a table in 45 minutes. We decided not to sit at the bar but go elsewhere for a drink, came back in about 40 minutes and got seated almost right away. I ordered the Basil lime daiquiri and my friend got a glass of the Pinot Noir. The cocktail was good - pretty much what I expected it to taste like! For appetizers we ordered the Roast carrot and avocado salad, which was excellent and the sashimi marinated in ginger and mint which was nice but not amazing. We had read rave reviews about their mushroom, parmesan, oregano and farm egg pizza which sounded both interesting and weird. So of course we had to try it. I thought it was one of the best gourmet pizzas I've ever had. Dessert was the vanilla cream donuts with a bacon fudge sauce that our server recommended. Again a little weird with the bacon, but surprisingly good! The service was very friendly and the place is modern and warm. All in all an excellent dining experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28185941; Sentiment_Subjectivity (from 0 to 1): 0.63106576 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came with 3 others. A great value venue in the busiest part of town. To be honest - you get what you pay for here. The pasta was ok. Our guests (who do not have access to NY's many great Italian restaurants) thought it was great. I guess that sums it up. If you want cheaper eats uptown this may be a good option. But if you really like Italian food, there are way better places to try.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.490909091; Sentiment_Subjectivity (from 0 to 1): 0.495454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really don't understand the hype. The meat was just ok. The Reuben sauce was overly sweet as was the strange hoagy bread that the sandwich came in. Service was hurried and apathetic.   It was just ok. Cheap and plentiful for sure...but worthy of being called one of the "must stops" in the East Village? No.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.319047619; Sentiment_Subjectivity (from 0 to 1): 0.528571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Straightforward seafood with very just the right amount of seasoning (not much at all).  High quality ingredients and simple preparation. The greek salad was incredible (I usually don't even like greek salad) - even the small salad was large enough for 2 people to share and had a huge block of top quality Feta on top. The broiled seafood platter was amazing.  The scallops were to die for (despite not having the char that some reviewers mentioned), the shrimp and fish were also excellent.  This may be the best seafood meal I have had in my life.  The atmosphere was casual and the servers were jovial and fun.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254047619; Sentiment_Subjectivity (from 0 to 1): 0.473956916 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well, I think this place truly lived up to the hype. Was it the best meatball I've every had in my entire life? Actually, it was close. Were the prices insanely reasonable? You bet. Was the service amazing? It was fine. Got the everything but the kitchen sink salad with spicy pork and mushroom sauce. The meatball was delicious (not very spicy, if you're into that sort of thing. I'm not judging. Live yo' life.) and the sauce was bangerang. The accompanying vegetables were delicious--there were beets and caramelized fennel and greens and magical fantasticness. And I didn't feel TOO bad about myself because instead of bread I had veggies....then I finished my friend's chicken meatballs in cheese sauce. Those were great too! I had the brown sugar ice cream which was the special for the day and it was a little one note. Which I guess is my fault because it's BROWN SUGAR flavored. Had the chocolate hazelnut cookie, which was too cocoa-y for me--I hardly got any hazelnut flavor. The food was fantastic and for $10, my salad was filling and fantastic. I will absolutely be back. I'm just not the hugest fan of the communal table and how loud the restaurant got, but I'm willing to brave it for the sake of the foodstuffs!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249136659; Sentiment_Subjectivity (from 0 to 1): 0.643398268 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my all time favorite place. The quality's consistent and the portion's huge for a great price. It's simply amazing! Definitely go try it if you haven't.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My Mom and I were craving Italian after doing some serious downtown walking. Thanks to Yelp we found this gem. The ambiance was great, staff were friendly, the menu was reasonably priced and food delicious! At the recommendation of our server, my mom had the spaghetti and meatballs and I had the steak sandwich which was the special. This has been our favorite meal so far. Amazing!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.358982684; Sentiment_Subjectivity (from 0 to 1): 0.653463203 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Given the choice of pancakes, fried chicken and bacon or fried chicken and biscuits smothered in sausage gravy with grits, I had to go w/ the former because I wanted some sweet w/ the savory. But the latter is next on the list the next time I come here. Food was good, service was friendly and competent, atmosphere is relaxed and casual and there's a bunch of eye catching choices on the menu. There's also shorter line-ups for brunch than some of the nearby competition, at least on the day I went.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.040384615; Sentiment_Subjectivity (from 0 to 1): 0.498717949 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Empanadas, Postobon, late night hours, and I dont have to go to Jackson Heights or Astoria for it? SOLD! I had the pleasure of being introduced to this place last night. My friends cousin brought his Colombian best friend out and she insisted that we eat here. When she decided to lay her accent on thick in Spanish, we were just at her mercy to obey. She could have led us into a steaming hot cauldron and we wouldn't have argued if we were asked to do so in her native tongue. Anyway, when we got there, the wait wasn't too bad (although a wait at close to 4am really says a lot about how well this place is doing. Congrats to them!) Despite the rowdy, moronic college kids (who almost got their asses kicked by a table with three gay dudes, not to mention by us who were three non-gay dudes with one aforementioned spicy-accented Colombian mamasita) who came in 15 minutes after we sat down, the place boasts a nice atmosphere with fantastic eats! I truly appreciated their unique and/or witty names (okay, not one person can ever leave without commenting on the Viagra), along with many common Colombian dishes and popular Colombian beverages. Sure, there are other countries represented on the menu, but I personally believe that Empanada Mama is just one more piece of evidence that us Colombian's do it better... although my abuela would stab me in the chest if I was caught dead spending $50 in an empanada joint.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.193696581; Sentiment_Subjectivity (from 0 to 1): 0.51517094 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, laissez faire cozy restaurant with food service and EXCELLENT food. Standouts include: Combination platter (a sampling of apps, all delicious) Baked Meatballs (sooo good) Almond Crusted Sea Scallops (soooo good) Grilled Octupus I could also see this place being great for brunch.  Will have to try soon.; Max_Daily_Reviews: 9; Sentiment_Polarity (from -1 to 1): 0.604166667; Sentiment_Subjectivity (from 0 to 1): 0.795833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Despite recommendations from all these guide books and websites, this place is not worth it. Last time I was there, the noodle was barely cooked, the meat wasn't fully marinated. And their specialty dish, Deep Fried Soft Shell Crab, was just plainly bad and soggy (gross!). Maybe it was just a bad day, but I seriously would not go back unless there is absolutely no other choices. - Tiny place - Cheap price, just like most restaurants in China Town - Open til 4am. Apparently THE destination for nightlife partiers, and with all the alcohol in your body, you won't be that picky about food anyways; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.045052083; Sentiment_Subjectivity (from 0 to 1): 0.371354167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 off the map spot, but we pass by this way every day to and from the 59th St train. We anticipated a cool new place to open during it's construction phase, but it took a few weeks for us to actually stop and make it in for a drink. The window signage is kind of off putting, but since it opened it's had a steady looking full house. Where did all these people come from!?! This place knows their alcohol. Great selection of beers and spirits, and even a Brooklyny looking mixologist that was an impressive connoisseur without giving off that snooty vibe most of those types do.   Back part of this horseshoe space was surprisingly very cool. Big communal tables to hang with friends or simply two works just as well. Small bites were tasty to snack on. Definitely more appetizeresq than actual meal worthy, but still great. All in all, a great neighborhood place to stop into after a long day at work.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.290792984; Sentiment_Subjectivity (from 0 to 1): 0.500290796 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my birthday brunch with Z and it was probably around noon and we had to wait about 40-45 minutes before we were seated.  It's mid day on a Tuesday...shouldn't people be at work??  Oh well it was worth the wait.  Mostly because it was a nice, sunny day and there was a bench to sit on while we waited. Props to the hostess.  She seats people, takes names and waits tables!  Snap, she's good.  Cute little place where you literally are thigh to thigh to the person next to you.  They pull out the table so you can sit and then push the table back in its place.  Wasn't sure whether to order breakfast or lunch.  As we were about to be seated, some some people with salads and they looked good. But instead I got the southern breakfast that consisted of grits, sugar bacon, two eggs over easy (your choice), and two fried green tomatoes.  It was pretty good.  Eggs were cooked perfectly.  Grits - good.  Bacon - GOOD.  Fried green tomatoes - good.  Oh and I ordered toast.  Wish it came with hash browns.  Z got the banana French toast.  If you like a sweet breakfast and like bananas, you'll love it.  Bananas were nicely caramelised.  Yum, brunch!  The only thing I wish we did that we didn't was to get the baked goods at the front counter.  Next time I'm in town, I'll be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33735119; Sentiment_Subjectivity (from 0 to 1): 0.509722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 solid brunch. Multiple items on the menu appealed to me, but my friend and I decided to share the 2 specials. The brussels sprout beef hash that came with poached eggs was very nicely done. I only wish the poached eggs were soft instead of firm, but I'm sure I could ask for that next time. The other dish was a sriracha herbed chicken and asparagus omelet. How amazing does that sound? I expected savory heaven. What I got was a beautifully made omelet but with insides that were lacking in flavor, decorated with a few squirts of sriracha. I like that they don't over season the food here, but a little more anything could have saved it. As much as I like hot sauce, I prefer not to have to douse my food in it. Okay, maybe that's a lie. Oh, and the side of slab bacon. So fatty and so delicious. We weren't too happy with who we assume to be the manager during our visit. The waiter said we could sit at a table right next to the door or one that was further in. We chose further in because it was chilly next to the door. It was two joined small tables that could seat four or be separated to seat two each. As we're about to sit, a curly haired woman said, "You can't sit there." Okay... but he just told us we can. "No no no, we have to save it for a group of four." Understandable, but we could have done without the nasty tone. She then sat a party of two in the same spot a few minutes later when there was another table for two available. It would have been nice to be offered a chance to move to that area after because we ended up having to talk over the loud jazz band that was playing 3 feet away. That kind of soured our experience, but our waiters were great and I'd come back to try other things.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132051495; Sentiment_Subjectivity (from 0 to 1): 0.504641934 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Da best of NYC!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice vibe! just a regular dive bar but cooler- wouldnt mind going there on a thursday night. One of the better ones that are around Hells kitchen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.525641026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a grown people brunch then this is the place for you. When I first walked into Grape and Grain, I was met with a nice and cozy atmosphere. I wasn't bombarded with loud college aged drunk kids looking for a sloppy Sunday brunch. Don't get me wrong, I love drunk brunch. But sometimes you just want a quiet brunch with the people you care about and I believe Grape and Grain can deliver that without a doubt. I decided to get the scrambled eggs with parsley biscuit and a side of bacon. The boo ordered the breakfast pizza which was basically fresh greens with added cheese and then there were two Sunnyside eggs on top over thick frocaccia bread. We shared a bottle of white wine for our meal. I was honestly impressed with the service and the food. Our server was nice and has some awesome tats on her arm. I really did enjoy how intimate and refreshing the place was. I guess it can't be rowdy for the fact that it's right next to a school and near a church! Our sever said due to the proximity, they dont have a liquor license, hence being a wine bar. Either way, I'm a believer and will return back to share this small gem with others.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.131037415; Sentiment_Subjectivity (from 0 to 1): 0.584013605 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I say, Bouley was amazing! Took my wife here for the first time for her birthday and had a wonderful experience. Not sure they do this all the time, but while dining we were given a free amuse bouche and then a free extra desert, and as we left a free apricot pound cake in a gift bag. The host and hostess couldn't have been nicer or the service any better. We arrived on a beautiful block in Tribeca, with limos parked outside and everything very pristine especially for NY. Upon entering the restaurant the foyer was completely covered with apples on shelves. I found this incredibly strange, but charming, rustic and different which I like. The host greeted us warmly but professionally and brought us through the main dining room, past a lot of old people, then down a windy stone staircase to a kind of fancy Louis the XIV dungeon room where there were a lot of young people. I guess Bouley wants the young people neither seen nor heard, which I found hilarious. But the room was very nice and we were seated on a red velvet couch type chair for two infront of a decorative fireplace. Very romantic and had the lay of the land so to speak. It was as if we were the king and queen of Bouley for relatively young persons surveying our royal court. Two spoiled little brats hidden from the main dining room's view. HA! Fabulous. The head waiter was a very unassuming man, very humble and kind, who knew everything about the restaurant and was a pleasant conversationalist. He immediately put us at ease and answered any questions we had about the food or surroundings. I felt like we were being taken care of by a sweet uncle or an out of work Lawyer! Everything was coordinated. When a plate was taken from my side it was taken from my wife's side at the same time. Synchronized waiting! It was amazing and very well choreographed. The food was excellent and like I said they brought over so much free desert I felt like I was going to burst. On top of what we ordered for desert they brought a 4 layered tray with all sorts of wonderful cookies, cakes and assorted goodies that were absolutely delicious. It was wonderful. When we left we were warmly sent off with a gift bag of apricot pound cake that was even better than the deserts we had been served. I would not hesitate to go back to this special restaurant!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310759637; Sentiment_Subjectivity (from 0 to 1): 0.554360828 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place is overly hyped. I mean don't get me wrong, the burger is solid, but is it worth hours of waiting? I'm not sure. I mean luckily, I went during a Sunday afternoon, and it was empty. Only caveat is that you need your entire table there to be seated. The truffle fries and the manly fries were okay. Nothing great, but nothing bad about them. I mean my friends and I still destroyed them. I like their draft beer selections. They have a nice selection of craft beers. The smushed potatoes were okay as well. Crispy and flavorful but also oily. The original burger was awesome. It was moist and cooked perfectly. The parmesan crisp added a nice texture, and I really enjoyed the roasted tomato. My only gripe is that the mushroom was soooo small. It was maybe like 1/6 of the size of the burger, so it didn't really provide an umaminess. What would have been better if they put it in a food processor and used it as a spread on the bun. I think that would have been better. Overall the service was great and the food was good. I just don't know if I'd wait hours for it. I'd def go back though if i can get seated right away.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.218954613; Sentiment_Subjectivity (from 0 to 1): 0.618086558 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a favorite, but lately the juice buns have been a little overcooked and burst before I get them. The ambience is cheap and cheerful, and you often get seated with other people, but it's part of the fun. I wish they would go back to making the juice buns better. Their handmade sauteed noodles are delicious. Staff is OK, not superfriendly, but they get the job done.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.271590909; Sentiment_Subjectivity (from 0 to 1): 0.579545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to try this place ever since my partner moved in across the street...and ever since he told me he saw Bjork dine there :-P  Yesterday I was on a movie shoot down the street and guess what they ordered us for dinner?? SOO HAPPY!  My partner moves out of his apt next week...but I think we'll make  the trek from Washington Heights just for the awesomeness of Roberta's pizza! The ingredients are fresh, the mozzarella is ooey, gooey, BEYOND off the hook-ness, the sausage, pepperoni, bay leaves, artichokes, pesto, olive oil...everything was amazing!  The crust is thin and perfectly baked in the brick oven so that you bite into an awesomely crisp (though not hard) crust...but then you immediately experience the titillating combo of a decadently flavorful chewy inside!!! The ONLY reason I couldn't give a 5-star rating is because there was the SLIGHTEST hint of sweetness on our one pizza that had marinara sauce.  Even the slightest bit of sweetness is a turn off for me (which is why I think that all Papa John's stores need to burn to the ground...like...yesterday).  BUT all of the other ingredients were so amazing I STILL wolfed this puppy down!   And the pies that had no marinara?  I couldn't name a dagnab thing short of perfection about them!  I had to consciously stop myself from eating every piece I could get my hands on!  Definitely one of the best pizza experiences I've had (to date) state-side!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304464775; Sentiment_Subjectivity (from 0 to 1): 0.61374269 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I visited this place on a Tuesday night after work to meet a date and it was a solid choice. They have a small bar but tables surrounding it. There was a very young vibe to the place which I liked. The ambiance was very cool to bring a date and if you get a bottle of wine it will not be a cheap meal. I would definitely recommend this place to bring a date or just have a nice relaxing dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.241875; Sentiment_Subjectivity (from 0 to 1): 0.608125 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Large group of co-workers and I dined here for supper while in town. Reservations recommended. Family style dinner, we all ordered something to share. My personal favorite was the cold antipasto. I was anticipating the regular cold cuts on top of a salad, not so, Carmines cold antipasto included a cold squid salad, salmon bruschetta , arugula salad, smoked mozzarella, big juicy tomatoes, white bean salad and I can't remember what all else...yum! It was nice since we were such a large group, but since going once I really don't feel the need to go again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.011428571; Sentiment_Subjectivity (from 0 to 1): 0.568937729 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Exactly what I wanted! Super friendly staff, our order came out very quick, and everything we had was perfect. Deliciously flavorful crab! So thrilled that this place is in the neighborhood!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.636309524; Sentiment_Subjectivity (from 0 to 1): 0.680952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hate to say it, but the last two times I've been the food has been slipping in execution. I still see Baca walking around, so a bit perplexing. (sorry if I spelled your name wrong) I still like the place but now I'm thinking the bar and a few small plates is a better value than a full on dinner spot.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.501851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love their food. I had mango chicken with brown rice. This is definitely going to be my staple order. This was absolutely delicious. I also had the chicken nuggets everyone was raving about. It is soooooo good. It tastes like actual chicken. The sauce was great. Delivery was under 15 minutes. If I can cook this stuff at home, I would b a permanent vegeterian. I wonder how many calories I induced today???; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.17; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The line still stands. The macaroni and cheese holds its reign among the best I've ever eaten. The scene continues to meld the late-night Chelsea crazies with the post-club revelers. After hours and way after dark, it's the top choice for a alcohol-absorbing meal that's affordable, frenzied with buzzing client and always, always open.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Obsessed!! Scrumptious dinner!! Went to Char No. 4 on a recent Friday night, and had a great time and a fantastic dinner. Can't rave enough about this place. The staff is wonderfully helpful (the bartender even put me on to an delicious house whiskey cocktail that puts a 7&7 to shame), the service attentive and the menu delicious. It's definitely not a vegetarian lover's dream here, as most dishes are pork, bacon and generally meat-based. For my next visit i may even skip the apps to make sure i fully enjoy the entrees without overstuffing. I highly recommend the grilled scallops, the side of baked cauliflower and almonds as well as the skirt steak. The overall atmosphere is chill and fun for a couple or for a night with a few friends - and from what i peeked, looks like they'll be opening a garden in the coming months. If you happen to be in Boerum Hill stop by for a cocktail and stay for dinner!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.276842105; Sentiment_Subjectivity (from 0 to 1): 0.580467836 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was ok, really nothing special. We had about 7 items. What was most striking was how expensive it was. Our bill for 2 people ( all yakitori) was $93 and we weren't even full. They also charge for tea refill. Beef tongue in particular was very tough; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174250441; Sentiment_Subjectivity (from 0 to 1): 0.594973545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: L&B is easily the best pizza out there... As an original Brooklynite, I feel comfortable saying that and feel like I have a little authority when saying so... If you've never been there, you won't understand until you go... This 75 year old restaurant has a style all on its own... Still family owned today, the pizza is out of this world... Oh and to be clear, when I say pizza I mean the Sicilian slices... Don't waste your time on round slices... Their method of cheese then sauce on top is perfection... I myself crushed 6 slices yesterday with ease and then washed it down with a cup of classic spumoni (it's not ice cream, it's just spumoni) to finish the perfect lunch.  If you are anywhere remotely close to Brooklyn, do yourself a favor and pick up a slice or a sheet (they're not pies, they're sheets).   Having to say I'll be back is borderline insulting... Only question is how soon I will be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.11521164; Sentiment_Subjectivity (from 0 to 1): 0.481415344 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing find in Hell's Kitchen. A tiny little place that revolves around brick oven cooking and farm-to-table locally sourced ingredients. EVERYTHING we had was delicious. I though perhaps that a restaurant that charges $6 for a loaf of bread was being a bit pretentious, but it was worth it. Wine list was all New York state or close by. We had a meritage from Long Island that was decent, and not expensive. Definitely on my permanent NYC roster of restaurant regulars now!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159627525; Sentiment_Subjectivity (from 0 to 1): 0.53510101 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Recommended: Kamo Namban Soba (hot): absolutely delicious soup and duck meat! Although there is quite a lot of duck in it, the soup doesn't get too oily. Tempura Udon (hot): their tempura is possibly the best in the city. Especially the shrimp tempura is to die for. I also tried their tartar don that comes with tuna, salmon and amberjack tartar. It was descent but you definitely shouldn't pass on their sobas and udons. Overall, this is definitely my favorite dinner spot in the neighborhood, and the best non-ramen noodle place in the city.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: it seems I was being generous in my last review. Last night's meal was the last straw. Paid in cash, never got my change, and the waitress had the balls to say 'you can leave the tip on the table'. mind you after we walked out I remembered TWO of our dishes were never served. I've never felt so rubbed at a place. There are other good Tapa places, no need to stick to this one.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.115; Sentiment_Subjectivity (from 0 to 1): 0.235 [/INST] Not Spam</s>