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syannn

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spammer

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I come to places like this, and pay this much for food, it's all or nothing.  I expect every moment of my experience to be a life altering moment... and as much as I wanted it to be... it was not.  Had this meal been 50% cheaper, it'd be a solid 4 stars, but it was not, so it takes a hit on the price performance scale.  We tried the prefix which is a great value at $89.  We had: The lobster salad: pretty good, but not great The foie gras: better than the salad The crab spaghetti: mind blowing.  If the meal had ended here I'd have been on cloud nine. TheTrofie Nero (squid ink pasta): also mind-blowingly good.  They definitely seem to know their pastas. The Bouillabaisse: Here's where things went downhill.  I was pretty disappointed by this.  Maybe I was on a pasta high and expecting too much, but I don't think so.  I've had great bouillabaisse before... and this was just okay. The cod: also just okay. The Torta di Cioccolato: very good Panna Cotta: excellent. So here's my issue... too many "just okays" for such a pricey meal.  The service was excellent... the setting was excellent.  Stick to the pastas and you'll probably enjoy it more.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3968; Sentiment_Subjectivity (from 0 to 1): 0.6088 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finest thin crust pizza in the city.  This was my fav place when I lived in the EV and I'm glad to see that it hasn't changed much and still produces great quality.  The El Greco is my standard, with the 9 grain crust.  Crispy and magical.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266666667; 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: When I heard this place had opened up in the EV, I got excited.  The Astoria restaurant was perhaps one of the best dining experiences I've had, so now I'm glad they're a little closer.  And I'm happy to report that the quality of the food is just as good. The staff is extremely friendly, as all good greeks are.  While waiting for a table, the bartender poured me a great ouzo.  For dinner, we started with a greek salad and the grilled calamari, which were both delicious.  For the main, we had a whole grilled fish.  Everything was fresh and we went away very happy. Well definitely consider this place for a 5 star upgrade after a couple more visits.  Well done!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.491421569; Sentiment_Subjectivity (from 0 to 1): 0.601960784 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was just okay.  I had high hopes after seeing everyone talk up the fried chicken, but its not going to be a serious contender on my fried chicken list.  The lamb was pretty good, as I'd hope a NZ restaurant would be, but I'm not sure I really see myself going back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.002666667; Sentiment_Subjectivity (from 0 to 1): 0.629555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never understood the appeal of "New York" style pizza.  I've never been to Grimaldi's, or DiFara, or Lucali, because quite frankly, there's nothing that's worth waiting 3 hrs on.  So after reading that Giuseppina's was "like Lucali but without the wait", I decided to go see what this New York pie business was all about. When we got there, the place was filled.  The server said it was about a 20 min wait.  Not bad, and we actually got seated in 10.  On the way in I heard someone say "Nobody knows about this place but it's always packed!".  The remark alone made my night... comedy and good food all in one neat package. The setup is impressive.  The lighting is intimate and the staff is unpretentious and friendly, but what really stood out was the setup of the chef's counter.  It takes up more than a 3rd of the restaurant and the chef stands at the center, chewing slowly on a toothpick, surveying the scene like a commander in charge of a battle.  I had the good fortune of having a table facing the counter so I could watch him.  His movements were always slow and deliberate despite the bustle going on around him.  The ingredients were all arranged in piles around the counter and he would take his time in preparing each pie.  It was like watching an artist work... I was fascinated by the process. Then came the pie itself.  I liked that the menu was extremely simple... no fuss.  Why would anyone NOT get fresh garlic and basil on their pies?  Why was that an option?  Who would say no?  "Would you like your pizza covered in deliciousness or not?"  I'll take deliciousness.  When it came out, it was perfect.  The crust was precisely charred (they had a temperature gauge on the oven, so I loved that there was a science to this too), and it tasted simply amazing. I don't know how any of the places I mentioned up top could be any better than this.  So if you ask me, if you want the proper New York pizza experience, go to Giuseppina's.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.322646104; Sentiment_Subjectivity (from 0 to 1): 0.510265925 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Updated review:  sticking to my low 3 star rating for this place.  I love the decor here and the service is very friendly, but quality and cost is where I ding them.  I came back here for dinner and decided to try a sampling of appetizers/salad/drinks.  3 appetizers, 1 salad and 3 drinks... $80 bill.  Really? On the food, if I had to rate it by the fig and goat cheese bruschetta, and the arugula and asparagus salad, it'd be 4 stars, but the calamari was just blah, and the sauce for it was too sweet.  The cocktails I had felt like it was just made with cheap liquor and packed with ice.  For $10, fail. The quality/value ratio just isn't there for this place.  For that price, I'm better off taking my money to Lot 2 or Talde.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.215277778; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 star upgrade considered and granted.  After a few more visits to this place I'm convinced, not only is it the most unique Mexican food around... but it's one of the best bunch places in the area as well. I always have to laugh at the staff... super nice guys, but always sleepy looking, like they just rolled out of bed.  I have this vision of Chef Hugo driving around Williamsburg in a white van and clubbing hipsters over the head and abducting them, forcing them to work in his restaurant when they wake up.  They are all great though... I'm not complaining about the service at all. Onto the food: 1.  The charred habanero hot sauce is amazing.  It's _actually_ hot, and adds great flavor to everything. 2.  Fish tacos, win. 3.  The presentation, beautiful. 4.  The price, unbeatable value for money at this place. Hugo knows his food.  Best.  Brunch.  Period.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.460964912; Sentiment_Subjectivity (from 0 to 1): 0.577192982 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has to be a joke right?  Somewhere, someone is having a big ole laugh about the insane popularity of Handy Nasty.  There must have been some sort of bet.  One guy said "I bet I could name a place handy nasty and everyone would love it".  "No wayyyy" says the other guy.  And the bet was on. And well, I guess the first guy won.  Don't let the name stop you from eating here.  Perhaps the spicy levels are dumbed down a bit for the Manhattan crowd, but I don't mind... the quality of the food is pretty good.  We had: Cold noodles in chili oil Bok Choy with black mushrooms Dry pepper style chicken Crispy rice style shrimp All dishes werereally good.  Now I don't feel like I have to trek all the way out to Flushing for the good stuff.  Be warned, it's a long wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.005801209; Sentiment_Subjectivity (from 0 to 1): 0.634108088 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 4 stars.  The braised lamb shank was outrageously good, meat falling off the bone and melting in your mouth.  The fried chicken was interesting, but the best part about that dish was the waffle and the coconut syrup it came with... had it for dinner and didn't feel weird about it at all.  Great setting and a friendly staff.  You'll see me again here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.284375; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best Thai food I've ever had.  Panang Curry?  Yes please!  Seafood Watercress salad?  Of course!  Been here a few times now and most things I've had have been great.  The only things that didn't totally wow me were the noodle dishes.  The pad-se-ew was better than the pad-thai.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.385714286; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 midtown high end Mediterranean food experience.  Very good for groups.  The appetizer platter was excellent.  I could have probably had more of those and skip the entrees.  The mekanek and the hummus were very good.  For the entree I had the lamb and while it was pretty good, it was not worth the price.  -1 star for the pretentious hostesses out front.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.398; Sentiment_Subjectivity (from 0 to 1): 0.613 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 minute I read "country fried duck & waffles", I knew I had to come here.  It did not disappoint.  It wasn't quite what I had expected either.  The duck meat was shredded and cooked, then covered in a light batter and fried... almost like a patty.  It was the right combination of taste and texture.  That and a couple porch teas make for a pretty good brunch.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307142857; Sentiment_Subjectivity (from 0 to 1): 0.647142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fried chicken does not apparently belong on thin pieces of sourdough.  Not. A. Fan.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.341666667; 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: Pretty good thin crust pizza.  Had the arugula pizza and it was like a giant salad on a pizza.  Pretty good although I thought the sauce was a little sweet.  Good drinks and a good atmosphere though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.30625; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I have this thing see... it's like a super awesome magic power... where when I think something is good, it then catches on.  I hate most wines, but I love Rieslings... and then BOOM!... Rieslings we're all the rage (incidentally this is also why you should follow me on yelp, but I digress). Now I'm starting to feel that way about burbon... It's my new drink, and Char No 4 is gonna be my new ticket to experiencing it in all it's glory.  A very cool place with a great setting and bartenders that seem very knowledgeable about what they are serving.  I'm definitely eager to go back and sample the food as well.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.305737374; Sentiment_Subjectivity (from 0 to 1): 0.578050505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolute favorite sandwich place.  These people will redefine what you think of as a good sandwich.  Even the basic turkey is great as well as the basic fresh mozza & tomato.  My go tos are the smoked salmon and the green focaccia.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2875; Sentiment_Subjectivity (from 0 to 1): 0.5375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't see what all the fuss is about really.  Had the chicken box and the best part of the meal was the biscuit.  The chicken was greasy and sticky, the way that KFC chicken is, and the batter was a little salty.  The side salad wasn't that great either.  Their hot sauce option was standard buffalo wing sauce.  So there was nothing that really set this place apart for me.  I would have enjoyed Popeyes more.  Can't fault the biscuit though. Added to which, the clientele consisted of quite possible the most annoying groups of people on the planet: 1) Hipsters, 2) The Harvard row team.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0775; 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: Okay so now I get what people in the reviews are talking about.  These guys have a consistency issue.  After going back a few times now and ordering the extra hot, I can tell it varies a LOT!  First time, it was delightfully painful, a serious burn, but still edible and with good flavor.  The last time I went, I didn't even break a sweat (although I think I won tough points because the people around me were amazed at my ability to demolish the extra hot). I know I can ask for it hotter, but I'm afraid to do so since it sounds like they can easily tip the heat into the unedible range.  Maybe I should ask for it to just lightly fondle diablo's ass?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.038975694; Sentiment_Subjectivity (from 0 to 1): 0.520833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You know it's a 5 star when: - you bite into chicken liver and go "oh my god" - you started thinking about 5 stars by the 2nd course - you hate pasta but you could eat the pasta dish 3 times a day every day - you get a "pre-dessert" - you get home and you refuse to brush your teeth because it'll make the flavors go away. - you finally give in to brushing your teeth and notice a bit of food stuck between your teeth... you savor that last delicious mouthful. Okay maybe that went too far, but this was seriously one of the better fine dining meals I've had.  We did the 5 course tasting menu, and it was perfect, from beginning to end. It started with a polenta soup amuse bouche, followed by a chicken liver pate amuse.  Both were excellent, especially the pate.  When has pate ever been a dish worth mentioning in my life until now.  They brought some great rosemary bread with ricotta cheese to the table as well.  The first course was a squash salad that was light and tangy.  The second was a poached cod that was so soft in texture, I had no idea how they could have possibly prepared it this way.  The third was pasta with mushrooms and broccoli, and like I said above, even though I dislike pasta, I could have eaten this all day.  Then came the lamb with braised chickpeas.  The lamb was perfectly seared on the outside and had great color.  Finally there was a "pre dessert" celery ice cream, followed by actual dessert of some sort of pecan pie... that description hardly does it justice though. What's even more amazing is that they are able to do all of this in such a tiny space, with an even tinier kitchen!  The staff are like sweet southern belles!  The drinks are delicious!  The lighting is perfect!  The atmosphere is cozy!  The attention is great!! I'm going to stop writing now...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.249796748; Sentiment_Subjectivity (from 0 to 1): 0.609349593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 morning I was a little stuffy... so I called my doctor and he said "Just head over to Olivier Bistro and order the spicy merguez sandwich... that'll clear you right up".  Sweet baby jesus he was right. Have you ever had french mustard before?  And I'm not talking about that Dijon crap.  I'm talking about the stuff that feels like injecting wasabi directly behind your nasal passage.  It's 12 hrs later and I can still feel the burn, but you know what... I can breathe easy.  What a sandwich!  I was in tears on certain bites.  Be warned, if spicy mustard isn't your thing, just ask them to go easy on it.  And the fries... they were the most perfect cooked and salted fries I had ever had.  I instinctively asked for ketchup when they brought it out, but it was not necessary.   This outfit has really gotten it's act together.  Better menu options, better quality food, same friendly service.  I'm glad to see they are continually improving.  Well done Olivier!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.215391156; Sentiment_Subjectivity (from 0 to 1): 0.555612245 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfect for what the name implies: great butter bean salad and even better winter soups. Perfect for dates or other one-on-one dinner. I wouldn't bring a part of more than four here - it's exclusively single tables and seats maybe 14 all together. Really a gem, especially because it doesn't advertise itself as a Greek restaurant, but the food is definitely Mediterranean.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.345779221; Sentiment_Subjectivity (from 0 to 1): 0.549025974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Of the six poached eggs that came to or table, at least 3 were cooked all the way through and not runny. There were also some flies hanging around our table, and when we requested hot sauce it didn't come until we asked again. A bit noisy too. Over all would not go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.016666667; Sentiment_Subjectivity (from 0 to 1): 0.416666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Obviously this place has great food, but that's expected in the west village. A few statistical things to note: -Cash only - and they won't tell you this until the end of the meal -Limited seating - on a Friday night the line was actually wrapped around this tiny building, so if it's warm enough to sit outside (no heaters) go for it, other wise it's going to be a wait -The service isn't incredible, so make sure you flag a waiter down (you'll notice them because they're all wearing baseball hats). Other than that settle in for a delicious meal - the mussels were delicious and definitely enough for a shared entree.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236150794; Sentiment_Subjectivity (from 0 to 1): 0.543531746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really delicious sandwich- had the lamb. It was enormous and I was able to eat it in two meals. Tight though, so I'd recommend grabbing and going. Definitely a neat block to visit for lunch if you ever get bored of Sullivan st. Plus they accept credit cards!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.116071429; Sentiment_Subjectivity (from 0 to 1): 0.718452381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very cute for brunch, came here without having to wait  to be seated. The decor is lovely, very country and homey. Food was good- the skillet dish with the eggs and bacon is great. Can't believe it took me so long to find this place- no more sixth ward brunches for me!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.355357143; Sentiment_Subjectivity (from 0 to 1): 0.614285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 arepas are INCREDIBLE. This place is so good- the hostess is this little lady who makes it feel like you are coming to a favorite aunt's house and she is feeding you all this delicious food. We came and didn't even get entrees, just arepas and we were stuffed and the bill was not bad at all! Service was a bit slow, but the food was definitely worth it!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.428125; Sentiment_Subjectivity (from 0 to 1): 0.645833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service, good atmosphere, food was good, drinks were good. Just good, chicken was a little salty but juicy. Overall just good, not amazing. Private party room available downstairs.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.292708333; Sentiment_Subjectivity (from 0 to 1): 0.560416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: New favorite neighborhood spot! I've been meaning to come here for the longest time because it's about the only cute place you can casually sit and eat outside within the neighborhood- the next option being mona lisa which is kind of meh to me. I got the chicken with pesto panini and cream of tomato soup which were both great and the service there is quick and fast. The servers are very good as well.  If you are wondering what happened to all the Italians in Bensonhurst, they are all here at Panino Rustico! Can't wait to go back to try the crepes!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.221049784; Sentiment_Subjectivity (from 0 to 1): 0.632229437 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 back with a group of 11 people for my sister in law's birthday party. They gave us the downstairs lounge and we all had an incredible time! The bartender  Megan was wonderful, she was on top of her game despite having to deal with so many people. Would definitely recommend coming here for small or large parties. Also..the meatloaf was awesome! Who'd have thunk?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.356428571; Sentiment_Subjectivity (from 0 to 1): 0.562857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First off, if you are a fan of interesting decor I think you will love this place. It's definitely a place that is more beautiful than what it can offer, so think of it as kind of like dating a really handsome/interesting looking guy with a so so personality. The food and service are average, nothing spectacular, but not terrible either. The decor really steals the show. I know at the Soho location, they said they shipped some of the stain glass windows from actual locations in Europe, so it may be true for this location as well. Also- I saw the "sliders" come to the table next to me. They were 3 legit big boy burgers.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.30625; Sentiment_Subjectivity (from 0 to 1): 0.492708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a wonderful find. I came here last night for a friends birthday with a group of 14 ppl total- it was super easy to make a reservation and everything was ready for us. The food and drinks were incredible- I recommend the Devil's Elbow cocktail if you like drinks with a kick and the riceballs were slammin! All the food was delicious as I tried everything and the restaurant itself is so cool, I'd definitely come back here for drinks at the bar too. Overall: Incredible service, affordable prices, delicious food!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.444047619; Sentiment_Subjectivity (from 0 to 1): 0.626190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am a Brooklynite born and raised and I've had pizza from all throughout NY. This place is as I would have said in the 90s "DA BOMB DIGGITY". I say opt for the Regular pie and not the classic. It's cheaper and tastes WAYYYYY better. It's simple and delicious and the crust is friggen delicious!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.444444444; Sentiment_Subjectivity (from 0 to 1): 0.516788767 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 corn the corn the corn!!!!!!! Crowded and tight but food is cheap and filling- did I say get the corn?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.110714286; Sentiment_Subjectivity (from 0 to 1): 0.492857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful cocktails, great place to sit at the bar and enjoy. Not too crowded or loud for a conversation. Didn't have to wait to get a seat at the bar.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place once before and LOVED it. I bragged about it to a friend and took her to eat there last week. Well, it wasn't good a second time around and that is a shame. We ordered the tuna salad, skordalia (garlic dip) and chicken souvlaki sandwich. The tuna salad was fine - I really can't complain about that. The skordalia was not fine and was more like soup than a dip. So watery and not authentic at all. The chicken souvlaki sandwich was ice cold. Like it was in a freezer. Also to add to the disappointment was the super weird waitress. Maybe she was overwhelmed or something..I don't know.  Anyway, can't say I'd go back and that's a bummer because I really liked it the first time.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.018981481; Sentiment_Subjectivity (from 0 to 1): 0.556481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmm. Great place for a fun night out + great food! Beautiful rustic decor. The pasta dishes are cooked perfectly al dente and delicious! I split a bowl with my friend and was mad that I didn't have my own - that's how good it was! The piece de resistance - however - is the suckling pig dish which literally melts in your mouth, yet its crispy on the outside. Also, I'm not a huge fan of dessert, but the ones here are decadent!! I also like the fact that the servers were so polite and unpretentiously pleasant. They knew exactly which wines to pair with which dishes and they were extremely helpful. Moderate to expensive but worth it.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.361519608; Sentiment_Subjectivity (from 0 to 1): 0.703921569 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmmm!!! This is my new favorite restaurant in NY and I can't wait to go back. Everything was made fresh, even their cocktails. The pizza, pasta, mackerel sashimi and crab toast are to die for! What made this dining experience even more perfect was the exceptional service and hospitality from the host Michael!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.477813853; Sentiment_Subjectivity (from 0 to 1): 0.636363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very impressive!! From the decor to the service to the food, everything was close to perfect in my book! I walked in without reservations the night before Christmas Eve. Even though the place was packed, me and my date were seated promptly. The concierge was very gracious about us not having reservations. The decor is typical Greek with a rustic feel. I loved the hanging pottery on the ceiling and thought it was a great touch. Onto the food: We ordered the artichokes moussaka, lamb shank,  potatoes and octopus. I was a bit leery about the moussaka since I only eat my moms and aunts version, but it was delicious!! A great and lighter spin on the traditional recipe. The octopus was tender and perfectly grilled. Not chewy at all. My favorite by far was the lamb though. It was braised Cretan style in honey and was so tender that it was literally falling off of the bone. Delicious!! Generous serving too so its perfect for sharing as well. The other thing I adored about this place was the fact that they only serve Greek wines. Greek wines are highly underrated and its rare to find a restaurant - even a Greek one - that showcases only that. Our waiter was very knowledgeable about the wines as well. Prices are very reasonable. I will definitely revisit!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.360308642; Sentiment_Subjectivity (from 0 to 1): 0.675740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pros: Good ramen. Cons: 1 hour + wait. Not worth it unless you are a die hard ramen fan and can't sleep until you've tried all in the city. Super cramped conditions. You feel like an inmate while you're eating because you are literally rubbing elbows with the people sitting next to you and you are rushed to get out. This place NEEDS to be cleaned. No excuse, its downright gross. Explains the C rating on the door.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.088095238; Sentiment_Subjectivity (from 0 to 1): 0.279761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not really sure why this restaurant is classified as Greek food because it clearly isn't, but its delicious nonetheless! I ordered the artichoke appetizer and tuscan yellowfin tuna. The fish was delicious but the artichoke could have done without the hollandaise sauce. My boyfriend's shepherd pie was insane! Super cute ambiance and the perfect intimate setting.  It does get packed and the restaurant is a super tight squeeze, so expect to wait and maybe be a little claustrophobic while doing so :-).; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.173373016; Sentiment_Subjectivity (from 0 to 1): 0.716084656 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, I don't remember the last time I visited a restaurant and was pleased wtih EVERYTHING. Other restaurants should take cues from L'artusi because this is how a restaurant should be run. Firstly, the hospitality was so warm and welcoming. The concierge, coat check girl, bartenders and our waitress were so nice that I felt I was in another city. I mean that in the best way possible! Highly appreciated. Onto the food.. a friend and I ordered the following dishes: 1. Roasted Mushrooms pancetta, fried egg, ricotta salata. Highly recommended. Perfectly spicy and delicious. 2. Assorted cheese platter. Obviously just cheese, so nothing off the charts, but the jams and crackers that come with are a delicious mix! 3. Octopus. So tender. A must have. 4. Bucatini pasta. Perfectly al dente with a delicious sauce that you scoop up even after the pasta is gone. 5. Black Cod. MMM. Delicious and served on top of a bed of spinach and potatoes. There is a very impressive, yet intimidating wine list. I am sure that they have every wine from France and Italy. If I had to say one negative thing about this place, it would be the mixed cocktails. A bit too ambitious and pricey. $15 for a drink that tastes like medicine. Stick to what you know. Average pricing. Not expensive but not cheap. Worth every penny though!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.355833333; Sentiment_Subjectivity (from 0 to 1): 0.636281362 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 interesting place! Its like you stepped into an Elk Lounge in North Dakota circa 1988. Very unique. Also, the restaurant is located in an alleyway which I will admit is kind of cool. We were told there would be a 45 minute wait for brunch, however, if you walk up the stairs to the middle room (there is a name for it but I forget), it is first come, first serve for a table. My friend and I found a table right away - albeit a teeny tiny one. What we ordered: Pumpkin pancakes with creme fraiche - These pancakes are definitely homemade and not out of a mix box. You actually tasted the pumpkin and it was delicious. The creme fraiche was a bit tart/sour though. I could have done without this. The skillet eggs - This dish sounds delicious in theory as its 3 eggs thrown in a hot skillet with fresh spinach, gruyere cheese and bacon. Problem is that the eggs are thrown in raw and you are supposed to let them cook in the skillet before eating them.. I waited about 10 minutes and my eggs were still pretty runny. My friend's was even worse. I think the skillet needed to be hotter. Pork sandwich - Since we didn't finish our eggs, we were still hungry and shared this sandwich. I think its the signature dish since 80% of the restaurant was eating this. It really was divine. Perfectly fatty pork with pickled zucchini and mayo on crusty bed. Perfect cure for a hangover! It was a bit greasy though so beware. Coffee and Lattes were just OK. Service was good but waiters kind of weird too. The server got annoyed that we asked for two menus (there was two of us) and a change of utensils. I would visit again!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.262209425; Sentiment_Subjectivity (from 0 to 1): 0.621689208 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a bit conflicted as to whether L'incontro deserves 4 stars or 3.5. I've been here about 10 times and I would say that 6 out of the 10 times, the food was delicious. The last 4 times, not so much. The food was too heavy and alot of dishes were either overcooked or bland. Servers are very nice and so is the owner.  The specials list is never ending and some times they get annoyed that they have to repeat them, but who can remember 30+ specials? Prices are very reasonable.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.184166667; Sentiment_Subjectivity (from 0 to 1): 0.6475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really delicious and authentic Italian food. The space is a bit of a tight squeeze, yet at the same time, its the perfect intimate restaurant with simple, yet fresh home cooked meals. There is always a wait, so be prepared. Cash only!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.282142857; Sentiment_Subjectivity (from 0 to 1): 0.561785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfect little french restaurant that's BYOB. Decadent food at very reasonable pricing, We were a group of 10 so we literally ordered everything on the menu and everything was delicious. Super nice service and quaint atmosphere, albeit very small. I would definitely visit again soon!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.29787037; Sentiment_Subjectivity (from 0 to 1): 0.662962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yea, delicious food! Mainly the pizza and the eggplant parmagiana. I could eat this everyday. I heard this was the same owner of Luzzo's and I would say this is the upscale version. I still prefer Luzzo's but you can't go wrong with either place. One of the few coal burning oven pizzerias in NYC.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.044444444; 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: Love Buvette! Pretty much everything on the menu is delicious and fresh, even the desserts. I would stay away from the octopus dish because it was obscenely salty and tough, but that's about it. Really cute decor and a nice scene. Be prepared to wait because I don't think you can make reservations.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.385763889; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for a birthday party with 9 girls last week and we were seated promptly. It is definitely a good place to go for a group dinner. It has a nice atmosphere and I loved the decor which was very rustic, yet chic. Service was very nice, although I felt on more than one occasion that our waiter was trying to push certain items on us, instead of recommending. My favorite dish by far were the oysters as an appetizer. They gave us a nice sampling menu and each oyster tasted fresh and delicious. I also really liked their wine list. For main courses I ordered the cod and my friend ordered the pork chop. The pork chop would have been great if it wasn't overcooked and dry. The cod was ok. Had an Asian flair to it that I could have done without. My least favorite, however, was the mushroom pot. This is apparently a real hit and best seller but I don't understand why. Its cold, pureed and sweet with a gelatinous texture. A bit nauseating. Prices were reasonable. Would I run back? Nah, probably not.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.353492063; Sentiment_Subjectivity (from 0 to 1): 0.613756614 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't express how much I loved this place!! This pizza is divine and I literally can't stop thinking about it (creepy, I know). The pizza crust is crispy and the perfect thickness. There is a delicious blend of cheeses, perfect tomato sauce and tons of fresh basil. The optional garlic was a very nice touch also. The waitresses were all super sweet as well as the owner. I like that he's a fellow native New Yorker also. Cute rustic restaurant with an open kitchen. Nicely dim. Prices are very reasonable, especially considering that everything is so fresh and quality. BYOB which is also nice. I plan to be here ALOT in the future :); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.403141946; Sentiment_Subjectivity (from 0 to 1): 0.761905901 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quintessential restaurant in the West Village that serves good home cooked food! The meatball sliders were delicious as was the pork chop, brussel sprouts and pasta fagiole. The warm chocolate cake is to die for. Little pricey but worth it since you know what you're eating! Will definetely visit again.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.5325; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is located in the Jane Hotel close to the West Side Highway.. Its a bit of a trek but the place is really very pretty. I love the decor..it has a very Havana-esque feel to it. We came here for a brunch on a Sunday afternoon and didn't have to wait more than 5 minutes. The service is very friendly. The menu seemed kind of confused since they had asian, french and moroccan inspired dishes (guess thats why its called gitane?). I'm always leary of restaurants like that, but the food here was pretty good. We ordered the baked eggs with salmon and potatoes and the tuna salad. The eggs were good -  a little bland but I didn't mind at all. The tuna salad was very fresh and tasty, but a little TOOOO spicy for my taste. The lattes and juices were very good too. I would come back here again and definetely recommend it.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.256712963; Sentiment_Subjectivity (from 0 to 1): 0.561851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here for dinner and once for brunch. Its the perfect little spot on a quintessential block in the West Village. I don't quite remember dinner because it was long ago but the brunch was great! Its a pre-fixe menu and oh so reasonably priced! I had the omelette with spinach and goat cheese and it was very tasty. The home fries are out of this world! Add coffee and juice and the bill was still only $15. I would love to come here again..; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.3453125; Sentiment_Subjectivity (from 0 to 1): 0.64375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really delicious and inexpensive Latin food. They have a huge variety and cater to vegetarians as well. I've been there a few times and would have to say that the pork dishes are by far my favorite. The ropa vieja is really nice too. Always packed so be prepared to wait.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmmm you can't go wrong with Blue Ribbon! Consistent, delicious comfort food with a really nice staff and chill vibe. The perfect date place! Fresh oysters and Great drinks too! Reasonably priced. Enough said, just go!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.385; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place, but then again I was always drunk when I ate here after clubbing back in the day. I revisited this place recently and the food was downright inedible. Everything was cold and tasted reheated. The mac and cheese is good, but how could you really mess that up? Obnoxious servers. Won't go back, even after a night of drinking.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.009375; Sentiment_Subjectivity (from 0 to 1): 0.453125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always wanted to check out the hype of Grimaldi's but the line is always too long. This past Sunday, it wasn't so bad so I decided to wait. I waited about 20 minutes and it was worth the wait. Any longer, not so much. The pizza was very good and fresh. My only complaint was that it was a bit dry/bland. The flavor that popped out the most was the crust :-/. And even though I prefer cheese much more than sauce, my particular pie needed a little bit more tomato. All in all, a good experience. Prices are so good also. If there's no line and I find myself in Dumbo, I'd go again.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.17877451; Sentiment_Subjectivity (from 0 to 1): 0.507647059 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here strictly for the fried chicken since it came highly recommended... I don't know.. It was OK, Nothing bad - nothing comforting either. It kind of put me off to fried chicken for a while, which may not be a bad thing ;-/.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.191428571; Sentiment_Subjectivity (from 0 to 1): 0.739047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really nice place with a bistro type feel. The few times I visited, the place was packed and I never waited. Finally one night, there was a space by the bar so me and my two girlfriends decided to try it. The bartenders are super sweet and made great suggestions for wine. Delicious focaccia bread is served while you wait. What we ordered: 1. Seafood Salad - really good and fresh. 2. Gargenelli Pasta - really tasty and rich, but maybe a little too rich. Bit too much oil for my taste. 3. Porchetta Piadina - really tasty but very fatty. I enjoyed it but it is something I don't care to eat again. 4. Funghi Polenta - I'm not a huge fan of polenta, but this was one of the best I've eaten. Served in a terra cotta bowl which gave it a nice, thicker consistency. 5. Cauliflower and Escarole Gratin - good but not thrilling. A bit bland. 6. Pannacotta with apricots and pistachios - this actually earned its own star. Delicious!! 7. Chocolate and salted caramel cake - wayyyyyyyy too rich. I am a chocolate lover so for me to say that, you know its rich.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.337291667; Sentiment_Subjectivity (from 0 to 1): 0.654285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, the wait for a slice of pizza can be up to 1-2 hours. Yes, the price for a slice of pizza is astronomical. Yes, the place is absolutely filthy and has been closed down by the health department a bunch of times. Yes, the owner is a bit obnoxious and will not hurry up for anyone. Despite all that, the pizza is divine. Fresh cheese, sauce, basil and drizzled with olive oil. (I will admit that sometimes it is a bit too greasy) I am not in a rush to go back only because I can't bear to wait that long. However, it is worth it at least once in your lifetime!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.097839506; Sentiment_Subjectivity (from 0 to 1): 0.420987654 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for brunch and I really liked this place. From the industrial decor to the food. I came with a party of three and almost everything that we ordered was great. The eggs Benedict with smoked salmon was really tasty and I loved the unlimited coffee. The egg frittata was a bit on the band side and fell flat. I also wasn't crazy about the service - it was really slow and the place wasn't that busy. It wouldn't stop me from going again though.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.184375; Sentiment_Subjectivity (from 0 to 1): 0.534375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am a huge fan of Jeffrey's Grocery..so since these are the same owners, I figured that I would love this restaurant just as much.  Based on the food alone, I would probably give 3 stars, but based on service and treatment, 2 stars is being generous. To make a long story short, I walked in with 3 girls without reservations. There was a bit of a misunderstanding with the seating so the Host (so we thought) offered us a free round of wine. When we received our bill, we noticed that the round of wine was on the bill, so we politely told the waiter about the host's offer and questioned him about it. Welllllll, that was a mistake. A big debate ensued.. with the waiter, then the bartender, then the manager, then the host, then the waiter again, and then the manager again. All this for a round of 3 glasses of wine? If we truly misunderstood the host's offer (although I really cant see how all 3 of us misunderstood), so be it.  The manager or host should have said to our faces, "Sorry girls, you're mistaken" and kept it moving. The back and forth debate and snide looks between the miserable female manager and host went on MUCH longer than it should have. It was so embarrassing..for them of course.   Also, we didn't get seated at a table. We ate at the bar which was really uncomfortable. Not an enjoyable dining experience...the bar area was a bit packed and the restaurant is teeny tiny. The food was pretty good though. Not thrilling in my opinion, but good.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.053125; Sentiment_Subjectivity (from 0 to 1): 0.520486111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 adore Luzzo's. The best coal oven pizza in NYC. I love that they give you red pepper oil on the side.  I drool just thinking about it. Even the pasta dishes are delicious. The appetizers, maybe not so much :) Really nice wine list. Servers were always very nice. Very reasonably priced. I've been there too many times to count and will go back again and again.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.484; Sentiment_Subjectivity (from 0 to 1): 0.538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ai Fiori is one of those restaurants you visit when you want to splurge or go to for a special occasion. It is a nice experience with very good food but make sure you bring your checkbook ;) We went as a party of four and we each decided to do the pre-fixe dinner for $89 which includes an appetizer, pasta, meat or seafood dish and a dessert. It actually turns out to be more than that though because they add a supplemental fee for most of the main courses :-/. I had the lobster veloute, ligurian seafood pasta and bouliabaisse. Everything was really delicious and the desserts were decadent. My only complaint was that there was a really long time span between each dish (about 30 minutes btwn each dish). This was really nice in a way because it gave you a chance to chat, etc., however, your body gets really full that way and you can't really eat your main dish. Also, you drink a lot in that time frame. The restaurant itself is gorgeous and located in the Setai.. the views are amazing and its truly romantic. All in all, its a very nice dinner that should be experienced at least once.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.336686508; Sentiment_Subjectivity (from 0 to 1): 0.664874339 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fresh, delicious, home cooked and unpretentious food served in a homey setting in the Chelsea market.  I really enjoyed this place and would love to re-visit. What we ordered: Mac and Cheese: sinful and comforting :)) Brussel Sprouts: perfect contrast of sweet and salty. Harvest Salad: just a salad but fresh and crispy. Mushroom Pot Pie: I ordered this because they are known for their pot pies. While I am not a huge pot pie fan, this was a very original and yummy recipe. The crust was definitely homemade. The filling was a bit too seasoned with rosemary for my taste, but its a good option if you like pot pies and don't feel like eating meat. My friends ordered the crab cakes and scallops and risotto. Both were flavorful and delicious as well. Normally, I hear that there is an hour + wait here, but we got lucky on a rainy Friday night and were seated immediately. Very reasonable prices and super nice service.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.440219298; Sentiment_Subjectivity (from 0 to 1): 0.742368421 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 because it was ranked the best brunch in Brooklyn. it definitely lives up to the hype! It's a super quaint French bistro that serves simple French dishes with a little twist. I ordered the potato and egg frittata while my boyfriend had the egg and duck hash. I'm not a huge fan of duck but I tasted it and wow! So flavorful. I also loved the drink menu and wine list. They serve sparkling Pinot Noir which is so hard to find. Very reasonable price point, nice ambiance, music and service. Our waitress was the best! Will definitely revisit again soon :); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.239947917; Sentiment_Subjectivity (from 0 to 1): 0.571592262 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really casual and intimate with shared table seating. A bit cramped but it's really fine since the food is good. The menu has a long list of salads which I liked. I decided on a grilled chicken and squash salad and it was really very good. Perfectly grilled chicken (and I am picky about my chicken). Really good services and the prices are inexpensive! Will definitely visit again.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.180897436; Sentiment_Subjectivity (from 0 to 1): 0.730512821 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Mario Batali and all of his restaurants so naturally I had to try his market! Yes, it's a super cool market slightly reminiscient of Europe with items you can probably only find in Italy. Yes, they have stands with what looks like delicious fresh food prepared by Batali himself. However, that's not really the case. A friend and I waited a long time for a pizza which looked like a pizza I had ordered in Rome, but it certainly didn't taste like it. It was way undercooked - the dough soft and the tomatoes still had the metallic taste from the can. Really disappointing. Yes, it's cool to walk around and eat gelato or have an espresso, but that's about it. This place is a bit commercialized and over the top expensive.. to the point of obnoxious. Tourist trap.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.147247024; Sentiment_Subjectivity (from 0 to 1): 0.565922619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Greek and very particular about my Greek food. This place is as authentic as you will get in NY. The fish is fresh and delicious and the baby lamb chops are perfectly grilled. All of the side dishes and mezze are great - mainly the octopus. Stay away from the spinach pie. The bread you are served while you wait to order is hot and drizzled with olive oil and oregano. Heaven. The owner is super sweet. CONS: The ridiculous wait The way they rush you out The place could be cleaner, especially the bathroom. With all of the $ they make, you think they would invest in even a minor renovation.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.302222222; Sentiment_Subjectivity (from 0 to 1): 0.608888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for takeout on a random Saturday afternoon. The place was packed as it normally is. The takeout line was very long but organized. We got our food In under fifteen minutes. All we ordered was the Barack Obama fried chicken and a side of mashed potatoes, string beans and corn bread. Man, this was good chicken. It was perfectly seasoned and crispy. Not too greasy either. The sides were just OK. Pretty inexpensive too! I would definitely try this restaurant again!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.01475; Sentiment_Subjectivity (from 0 to 1): 0.642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Experience.. The food is delicious in this restaurant and truly authentic. The best kibbe! Very nice decor and great ambience. Our waiter was so friendly and very knowledgeable about the menu and wine pairings. Even the manager even came up to our table to make sure everything was OK, which is becoming rare these days. will definitely be visiting again!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.554230769; Sentiment_Subjectivity (from 0 to 1): 0.691452991 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 decor and really good service. The food was very good, but not anything special. For the price, there are a lot of better Italian restaurants in NYC.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.511190476; Sentiment_Subjectivity (from 0 to 1): 0.575238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. Never had a bad meal or bad experience and I've eaten here about 5-6 times over the past year. I love the decor and I really like the bar scene. They have a great selection of wines and the bartender and waiters/waitresses are extremely knowledgeable about them. Also, the entire staff is super friendly too. Onto the food: I've tasted pretty much everything on the menu and everything is great. The fish baked with the beans stands out in my mind, as well as the meatballs and pork chop dish. The blue crab toast and ricotta cheese are probably two of my favorite appetizers. Reasonably priced for such good food. Will Definitely come back soon!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.170634921; Sentiment_Subjectivity (from 0 to 1): 0.560714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with two of my friends on a Saturday afternoon for brunch. The place looked packed but we were lucky enough to get a table outside after only waiting ten minutes. I ordered the poached eggs with grilled tomatoes and halloumi and I really enjoyed it! It was a great combination and the eggs were poached perfectly..not too runny, not too hard. The portions were a great size too. My friends each ordered the skirt steak sandwich with fries and that was really tasty also. Oh and for dessert, we shared the waffles with rosewater and yogurt. This was just okay in my opinion. Not sure if the flavors complimented each other. All in all, this is a great brunch spot and the prices are very inexpensive. I want to give this place four stars because I really enjoyed my dish...but the service was so slow, I would have to rethink coming here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.223039216; Sentiment_Subjectivity (from 0 to 1): 0.543464052 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cafe Henri is the perfect neighborhood French bistro. I used to work around the corner from here so I must have eaten here at least 15 times and have never had a bad meal. Amongst my favorites: the omelet with ratatouille, their cheese burgers which is served on a delicious toasted brioche bun, crepes and hangar steak. Their soups are made fresh and their lattes are so superb that they gain their own star! My only complaint is that the service is almost always slowwwwww.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.676666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch spot in Chelsea, away from the noise. My favorite part were the lattes which are enormous and served in a bowl :). The crepes and croque monsieur were delicious. Super friendly, albeit slow, service. Perfect Sunday comfort food.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.424166667; Sentiment_Subjectivity (from 0 to 1): 0.813333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great. From the minute you walk in, the smell of delicious fresh food almost knocks you out. Me and a friend came on a Thursday night with reservations and were seated promptly. The entire staff was very warm and welcoming. The decor is perfectly minimalist and chic. I really like the farm to table concept and hope that is the case here as they claim. The menu has just enough items without being overwhelming. Me and a friend ordered the soft shell crab appetizer to share - which was fresh and delicious - and we each had the branzino. The branzino was served whole and it was perfectly grilled. We wreaked of garlic for the rest of the evening (a bit too much for my taste), but eh, who cares. Lastly, their wine list was impressive. I loveeee that they carry Greek white wines and that always gets an extra star in my book :)). Prices very reasonable. I will definitely be going back!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.380833333; Sentiment_Subjectivity (from 0 to 1): 0.552152778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The first time I came here, I fell in love. The second and third time, not so much. It could be because it seems they made their portions smaller. The ramen soup is very good and the service great. The only downfall is the wait. Unless you go during off hours, you could wait up to two hours and I'm not sure that any place is worth that long. All in all, this soup hits the spot and is very comforting. I will visit again (at 2 or 3 in the afternoon).; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.22; Sentiment_Subjectivity (from 0 to 1): 0.45017094 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty good Turkish food at very good prices! Lovely decor with a lot of outdoor seating. A friend and I ordered the shepherd salad and meze platter. The meze platter was kind of small for sharing (we were only two people) but everything tasted pretty authentic. Very good Turkish bread on the side. The service was nice. Will visit again.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.46; Sentiment_Subjectivity (from 0 to 1): 0.814545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious, savory, creamy--try the pastitsio, vegetarian mousaka, stuffed grape leaves, baklava. Lunch-wise, I wouldn't recommend the artichoke/chicken salad--the big chunks of chicken resembled the big chunks of potato. Lovely atmosphere--just a few tables lined up along a mirrored wall, across from imported canned goods. Intimate at night, and bright and charming at lunch.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.255555556; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: brunch-wise, enjoyed the mexican and southern options. at dinner, the jambalaya was really tasty, but very spicy, and the jalapeño cornbread with a perfect honey crust didn't exactly cut the spice. Austin-like cute/cool interior.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307142857; Sentiment_Subjectivity (from 0 to 1): 0.35 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is good--extra star for the reasonable prices and convivial atmosphere, including friendly service. My friends enjoyed the steamed mussels as a first, and I was delighted by my ravioli: veal and spinach, in a sauce of cream, mushrooms, and prosciutto. Would definitely go back. (Note: convivial could also read as loud and crazy-busy. I didn't even recognize the place from the photos of the empty restaurant.); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.253125; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: lovely on an early-summer evening--sat in the front, with the doors open to the sidewalk; further inside the restaurant, the simple decor and low lighting served as an ideal setting to cozy couples and jovial groups. good wine list, reasonable prices. lasagna wasn't exceptional; other pasta was excellent. grab a drink next door at Von while you wait for your table. cash only.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.260119048; Sentiment_Subjectivity (from 0 to 1): 0.62372449 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stop by for a wide selection of sandwiches and panini. I enjoyed the prosciutto and mozzarella panini with fresh basil and good sun-dried tomatoes (like actually sun-dried, not charred). Decent prices ($7.50 for a filling sandwich).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.261111111; Sentiment_Subjectivity (from 0 to 1): 0.494444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: quality, if a little salty. thick breading masked the delicate flavor and kind of missed the point of fried green tomatoes. smoked half-chicken is a good reason to order chicken in a restaurant. pork nuggets were surprisingly delicate (shredded pork). loved the noreaster (bourbon with ginger beer, lime, and maple syrup). look forward to trying brunch here!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.031944444; Sentiment_Subjectivity (from 0 to 1): 0.702777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Coffee was good, and chocolate-and-fig scone was to die for: big chips of quality dark chocolate, crunchy bits of dried fig, and a great texture that was just the right balance of not-too-dry and not-too-fluffy. Super-hipster baristas were friendly. Sadly, there's no seating.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163839286; Sentiment_Subjectivity (from 0 to 1): 0.560714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Super small but it felt cozy rather than cramped. Get the lamb sandwich!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.102430556; Sentiment_Subjectivity (from 0 to 1): 0.605555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious fries, great sauces, generous portions. Also the perfect late-night stop when you've been drinking :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.825; Sentiment_Subjectivity (from 0 to 1): 0.9375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummy waffles at a decent price. I would def come here again; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Probably one of the most delicious sandwiches I've ever had- love that spicy eggplant!!! Definitely worth a visit if you find yourself in Astoria.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.694140625; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty tasty and flavorful food. We went on a Saturday night and didn't have a wait at all, which was nice; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Disappointing service. Charged me extra for the sauce without telling me.   Inattentive, rude and the wait time was long, even though they weren't busy. I can't deny the pancakes were good though.  They were delicious.   Just a pity about the service. All up $23 inc. tip for pancakes and a coffee is probably a little pricey.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0625; Sentiment_Subjectivity (from 0 to 1): 0.488888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To the pudgy brunette maitre d: your service was so bad we left immediately. Think about that. Having eaten here often before and loving the vibe (albeit at a hefty price), after being seated, we considered your attitude so bad that we got up and left. Do something else with your life.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.16; Sentiment_Subjectivity (from 0 to 1): 0.456666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went twice because this place had been so highly recommended. The first time was such a let down I thought I better give it another shot. The coconut cake is terrible.  Overprocessed and dry. The service here is pretty aggressive, it's weird.  I think they hire bouncers to work as waiters.   It's overpriced and playing off the reputation buy plainly it doesn't deliver.  Wish I could get the time back that I wasted here on bad food and a below average experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.130464853; Sentiment_Subjectivity (from 0 to 1): 0.513287982 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love the food, the pizza, the pasta, the beer, the atmosphere and the decor. Order the Vodka Pizza - one of the best in NY and certainly our favourite restaurant in Nolita.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.571428571; Sentiment_Subjectivity (from 0 to 1): 0.49047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am Greek, and a huge fan of Greek food, so a bit of a tough critic, but Snack is very good. Not fantastic, but pretty good. The tzatziki and hummus is awesome, but make sure to get extra pita!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288282828; Sentiment_Subjectivity (from 0 to 1): 0.636565657 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Burger and Barrel! Fantastic Burgers but the Chicken Lollipops are the best thing I've ever tasted. Great beers on tap, but its a little tough to get a table there.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235515873; Sentiment_Subjectivity (from 0 to 1): 0.69047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend recommended I try Snack - was really surprised at how much I liked it. The grape leaves were really good. I don't know what they put in them, but I'm pretty sure they laced them w/ amazing. The feta appetizer special equally good. Only "eh" was the grilled octopus, WAY overcooked, almost like it was day old microwaved. But, 4 out of 5 shared appetizers is a win for me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.427922078; Sentiment_Subjectivity (from 0 to 1): 0.714574315 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend recco'd and said it was "Singaporian", I'm not sure what that is, but it was delicious! Not too spicy, not too garlicky, I only wish I could have had more, the menu was nuts!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.34375; Sentiment_Subjectivity (from 0 to 1): 0.847222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Followed the great Yelp reviews to grab a sandwich here for lunch. Didn't realize it opens at 12, showed up at 11:50. The person working there opened the door and said they wouldn't be open for 10 minutes, which didn't seem like a big deal. Then she kept telling people it would be a few more minutes, until we were finally allowed in close to 12:05. I ordered the chicken sandwich and lemonade. When there was some confusion with whether we were paying together or separate, the same person who begrudgingly let us in expressed exasperation - she clearly wasn't having a good day. After we sorted the order, she told us to wait outside, in the heat - even though there were no other people in the place! The sandwiches were finally ready after 12:20. Snotty service, half an hour wait, $14 for a sandwich and a tiny lemonade... and the sandwich was cold, on a very tough roll and lacking flavor - I couldn't even finish it. Maybe I picked the wrong thing on the menu, but I won't be going back here. The Potbelly sandwich I had for $5.50 last night was much better.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.014566799; Sentiment_Subjectivity (from 0 to 1): 0.479365079 [/INST] Not Spam</s>