Datasets:

syannn

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spammer

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perhaps it's due to my lack of hipsterness, but I was not enamoured with Cafe Habana. Not terrible but definitely not great Mexican.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.00625; Sentiment_Subjectivity (from 0 to 1): 0.53125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I know, I know... I'm a blasphemer for not loving & adoring & worshiping Lombardi's.  While it is better than your average take-away or Ray's, I just don't get it.  I've tried it twice -- could both have been off nights? Was it because neither time I had to wait in line and thus wasn't in a hunger delirium?  I also don't get why Citizen Kane is the greatest movie of all time.  Maybe I need to watch it again while eating a pizza from Lombardi's...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A friend recommended this place after reading the Yelp reviews. It's cute and can see why so many reviews recommend it as a date place. If you're here to catch up with friends & linger, then don't come on a Saturday night. It's definitely a date place with a date place price.  The wine start around $15/glass and bottles are around $40+. The pizzas are good -- individual 12-inch sized with $14 for a plain.  Nice, but no desire to come back especially.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.231746032; Sentiment_Subjectivity (from 0 to 1): 0.595238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since I live in BPC, I was excited for North End Grill to arrive. So why did I wait so long to try it out? Because the NYC hype machine seemed to be going full force during the opening and things almost always never live up to it. I'm glad to say our first meal (dinner) was very good. The clam pizza is as good as 'they' say. The crust gives Motorino a run for its money. The clams, parsley, and chili were all very fresh & flavorful. My BF's lobster egg custard was amazing - full of umami. I couldn't stop dipping the crusty bread into it. My swordfish itself was good, but to me it didn't really go with the lentil mix it came with. Dessert was ice cream & poached pears - good & tasty but not out of this world. The service was very good. An odd point was when multiple servers came to ask if we wanted another starter or not -- turns out the kitchen couldn't churn out pizzas fast enough & they were worried about a long wait. They talked us into some pepper dish which we'd ne'er heard of and didn't like. Funnily enough, the pizza came out before the peppers did. Since we didn't like it, they took it off our bill! That's 5-star service there. Overall, a very solid 4 and we look forward to going back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277460606; Sentiment_Subjectivity (from 0 to 1): 0.482933333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: O my fellow Yelpers, you have done it again -- this place is a delicious find and is there anyway we can keep it a secret?  The beef sesame pancake sandwich is divine.  Don't waste your time on the dumplings - just get another sandwich!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'd read alot about this place on the Midtown Lunch blog so I decided it was time to try it.  A small ("walk") size pork tonkatsu curry with a bottle of soda cost $9.25, which isn't too bad for the Times Sq area.  It's definitely cleaner and tastier than Yoshinoya (how the mighty have fallen).   Definitely traditional Japanese curry (not to be confused with Indian curry) as it has a very very mild heat/spice factor.  Would certainly go again when I'm next in the area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.030238095; Sentiment_Subjectivity (from 0 to 1): 0.513809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perhaps my expectations were just too high due to the hype, but I find Eataly disappointing & overcrowded.  Good gelato though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.03375; Sentiment_Subjectivity (from 0 to 1): 0.55375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 branch of Shake Shack tends to have manageable lines & seats available. It has a neighborhood feel with many families stopping by after a Little League game from the field across the street.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.078125; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First time here was for my birthday dinner.  They were very accommodating for a large group, although they had some difficulties in bringing everything out at the same time.  The pasta dish of the day was a bit bland (Sunday's special was butter & black pepper spaghetti), but all the people who had steak seemed to enjoy it. The bone marrow was very tasty as was the steak tartare.  We shared the dessert sampler (6 small desserts for $14) and it was nice.  Would go back to try eating the bar downstairs since that atmosphere seemed more festive.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.164468864; Sentiment_Subjectivity (from 0 to 1): 0.440384615 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 classic banhmi was good with fresh ingredients.  Nothing too out of the ordinary there.  What surprised me was how good the skim milk original boba tea was! I'm accustomed to the cloying sweetness of condensed milk that the skim milk was a very refreshing change and you got to actually taste the tea.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.315046296; Sentiment_Subjectivity (from 0 to 1): 0.568518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 victim of it's own success, Tasty Hand-Pulled is no longer super tasty.  I no longer hear the biang of noodles being pulled and now smell the sickly sweetness of bad sesame chicken. The knife cut beef noodle soup no longer has that QQ bite and the broth is bland. The spicy cucumber salad is still good (but not as spicy as before).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.035846561; Sentiment_Subjectivity (from 0 to 1): 0.624867725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 2 years since my original review and Big Wong is not only still around but also still as good.  A rare thing in Manhattan Chinatown these days. Lately we've been going on the weekends as a change of pace from the usual dim sum or brunch places. The roast pork congee is very filling but damn you gravity for sinking all the pork to the bottom of the bowl!  I'm too full with congee by the time I discover the treasure trove at the bottom - although that's never stopped me from finishing everything...  The you tiao crullers are good but I do wish they'd have the Taiwanese breakfast sandwich of sesame bread with it (xiao bing you tiao).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.202272727; Sentiment_Subjectivity (from 0 to 1): 0.559090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars, would be 4 if the food wasn't so salty. The service was great - I was waiting to meet a friend and as The Shakespeare was over crowded, they took me up to The Peacock for a quiet cocktail. We had dinner downstairs: scotch egg was nice & warm, but the sausage could use more flavor I thought; I had the fish & chips (small portion of fish but really good batter); my friend had the Gammon steak and was surprised it came with both pineapple & egg (guess it's "or" back in jolly ol' england) as well as it being more pork chop like than baked ham. Good atmosphere and would go back if in the area but not sure worth a special trip.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.31047619; Sentiment_Subjectivity (from 0 to 1): 0.516243386 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 be completely honest, I never quite remember being at Corner Bistro.  It's the food stop along the way when it's been a long night already and yet more places to go still. Good greasy burgers, fries, & beers to help keep the night going.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4375; 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: We went for lunch on Monday and thus avoided the long wait.  We opted to just get ramen rather than the lunch set -- a good choice since this way we saved some room for dessert!  My friend got the autumn special, which has a clear, roasty flavored broth.  I got the 'white' ramen with a creamy broth.  Both were delicious.  But the real surprise was the green tea creme brulee.  Oh wow...  that was decadent.  Especially paired with the side of green tea mochi.  It was an automatic big grin of amazement and deliciousness.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.181845238; Sentiment_Subjectivity (from 0 to 1): 0.496230159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely delicious pasta in a creamy, tomato sauce.  While I've only been there twice, I'm sure that I will be back there many, many more times.  One of the best lunches in Soho.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.586111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just wet myself....in a good way. From attacking this amazing soup! Literally my lap and face are covered in creamy lemon, chicken broth HEAVEN at the moment. First off I must begin by saying this is the first time in 3 years I have actually wrote a review on yelp while at the same time eating at the place I am yelping about. Lexy can MULTI TASK BABY! Ok back to my soup. SERIOUSLY, why have I not tried this before? There is so much more to typical Greek food than the "Greek Salad", Grape Leaves and Chicken. I had my lunch delivered to my office this afternoon and I decided to try the two things that everyone on yelp has been raving about here. 1) Avgolemono Soup (Their Classic Greek Soup) 2) Lamb Sandwich So far the Soup is amazing.. (take a few more slurps as I type). It has the perfect balance of bitter lemon, creamy goodness, chicken broth and rice. In other words.. it's HOME MADE GREEK CHICKEN SOUP! I will never eat any other type Chicken Soup again, I'm complete. Ok, now for the Lamb Sandwich... (holding sandwich in hand and preparing my mouth for this meaty goodness) Open... Open... Bite... Tasting... Tasting... Swallowing... YES! OH MY LORD. This is one amazing meat sandwich... soft, flavorful, a wonderful mess in my mouth! I can't type anymore.. must finish eating. LAMB SANDWICH and Avgolemono Soup, DO IT or DON'T BOTHER. ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.081524123; Sentiment_Subjectivity (from 0 to 1): 0.498684211 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Calm down, it's just Brunch people!... OK, well maybe my first mistake was not ordering the pancakes & bacon everyone goes ape crazy for on this site but I still don't understand why people are giving this place 5 stars. I think it deserves a good 3 or 4 for the food I guess but is it REALLY WORTH waiting in a 1 hour plus line & being crammed in  a super tiny space where my elbows just about knock the couple eating at the table next to me? I had an egg dish with biscuits and it was really good. Don't get me wrong I think the food here is great but I don't know why people are going CRAZY like this is the best place ever! Because of the loudness and tight space along with the super long wait... I just don't find it worth it. Now if this was a laid back quiet place not many people knew about and was easy to get a seat.. HECK YEA Id be here much more often!  ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.175082672; Sentiment_Subjectivity (from 0 to 1): 0.487830688 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Supper saved me from the BELOW FREEZING & BEYOND WINDY New York City Afternoon.... Supper... your my grandmothers warm hot chocolate and hand stitched blanket on a old brown & worn rocking chair. Well, not really but... you sure did warm me up on the perfect chilly day! Very warm, laid back and comfy setting. The food sticks to your ribs in a good way and has a great home-made charm. I came here on a Saturday afternoon around late brunch time and enjoyed a warm cup of coffee & extremely tasty goat cheese Omelette with a fresh green salad. My thoughts... - This place is good for both large groups and small. If you come on a date I suggest grabbing a table in the back, more comfy and quiet and has a nice view of the old school wine room. The front has large wooden tables to share.. can fit a good amount of people. - Come early.. early dinner, late brunch. You get a nice deal of private space before the crowds roll in. - Bring Cash - They don't offer free refills on coffee... kinda lame. Waiter even had the nerv to tell me.. are you sure you want another cup mam, I must charge you.  ( Ummmm do you see my prada bag sitting on the table and my Gucci watch, don't ask me a silly question like that fool!)  ... of course i'm joking ;o) I'd come back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.215730124; Sentiment_Subjectivity (from 0 to 1): 0.543970718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3 Dolla' Make You Holla' At Oasis!....... Oh I said it! 3 Dollars will most definitely make you holler at this Middle Eastern spot and in a very very good way. I mean come on people... $3 for a HUGE fulfilling tasty Falafel Sandwich! I'm stuffed on just 3 bucks, what a deal! In my opinion, Oasis has the best tasting Falafel sandwich in all of New York City! I'm thrilled because if you happen to live in Brooklyn off the L line, this is  an easy stop over on your way home. It is exactly 5 steps from the Bedford L stop. Even if you live in Manhattan, it's only the first stop into Brooklyn (3 minutes) and your in Falafel Heaven! ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.317434343; Sentiment_Subjectivity (from 0 to 1): 0.549247475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I took a bite.. and I swear, I think I was pregnant. Thankfully that was not the end result but I swear the day I do get a bun in the oven, I will remember Artichoke Pizza. I will name my first son after you. Thank you; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.291666667; 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: Barrio Chino cured my margarita fix!! Thank god for yelp honestly because after reading many reviews I knew EXACTLY what I wanted when I walked in the doors of Barrio Chino. Me: "Table for two please, two extra strong strawberry & vanilla margaritas and two more on hold" ! Waitress: "Damn Mami Sita, estas loca!" (ok, maybe that is not exactly what she said.. but it's what I heard) The Margaritas here are WONDERFUL! Please take my advice along with everyone else and don't go here without ordering one or two. After downing my drinks with my date we ordered two different versions of the Enchiladas and were very pleased! It was a great dinner over all and I will be returning here often. TIPS: - This place is TINY.. when I mean TINY, I mean whenever I pick up my fork I am hitting someone next to me or behind me. - Come early for seats - This place is better for only two people. - The FOOD TAKES FOREVER so drink up while you wait for the meal. ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.244146825; Sentiment_Subjectivity (from 0 to 1): 0.569444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Balls Balls Balls... here we go. So many twisted, goofy & perverse idea's come to mind when writing this review. I could barely get through my meal here with one of my best girlfriends without laughing and asking her how good her meaty balls were... She got her balls wet I got my balls dry Take it as you wish but both of our balls were amazing! I suggest you go for the Spicey Pork Meatballs, they have that extra kick.. if that's what your into. I like some spice in my balls. I really appreciate the selection of many sides you can have with your meal. I ordered the braised greens and they were very flavorful and hit the spot! It's crowded, it's tiny but it's worth it. Grab your fork and take a jab at their balls! ;-) Thanks Meatball Shop; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.271078431; Sentiment_Subjectivity (from 0 to 1): 0.488235294 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 never knew what crack tasted like until I ate at Five Leaves.... Seriously, I'm the "good girl" type. I don't smoke or drink much and I am clueless when it comes to drugs. If only I had known that crack tasted this good, I would have started ages ago! Of course by crack I mean their Mussels... By far the best Mussels I have had ANYWHERE. Steamed Freakin' Mussels w/saffron coconut milk, chili, scallions & grilled sourdough. YES, hit me again... and again....and again. I can't get enough of this stuff! If you like a little extra with your crack, I would suggest the Truffle Oil French Fries on the side. Addiction is a scary thing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.118589744; Sentiment_Subjectivity (from 0 to 1): 0.550320513 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jackson fills that hole in my tummy! In my Astoria days I use to live only a couple blocks from this Old Style Retro Diner and it has been a breakfast favorite of mine whenever I am back in the area. So my review is STRICTLY only on BREAKFAST. My review? It's, fast... simple... and GOOD! I love the small retro booths and feel of this place. The service is friendly & super fast! I came here over the weekend with my Brother. All of their breakfast comes along with a mini fresh squeezed orange juice that is pretty darn good. Besides the OJ, the coffee is strong and hot and they have many Breakfast/Brunch options such as French Toast topped with powdered sugar, fresh berries and bananas! I like this place because it feels more like home.. a small comfy feeling. Many families come here and it's a nice break form the hipster brunch spots that have TAKEN OVER ASTORIA QUEENS (Blah). I rather have a laid back good breakfast in my old school diner thank you!  ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266767677; Sentiment_Subjectivity (from 0 to 1): 0.546904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ANY place that can fill my stomach for lunch in NEW YORK CITY for only $8.00 with HIGH QUALITY, DELICIOUS & HEALTHY food... is a definite winner in my book!! DAMN YOU for having such an amazing tasting sweet Miso Glazed Salmon Lunch special !! I now have a new lunch addiction to Mooncake Foods, I suggest you get your addiction on! P.s. - Cash Only  ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.289571158; Sentiment_Subjectivity (from 0 to 1): 0.67254329 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grill 21 Brings Back Memories Of my Teenage Boyfriends Mothers House.... Being that I had many Filipino Boyfriends in my High School years (ok, not many like TONS but a couple) I am very use to eating Filipino Food. I found out about this place through a handsome Filipino (Pinoy) friend of mine who's parents are best friends with the owners. Being that it is in my work delivery zone, I only eat lunch here & by delivery. So far, So good! I really did enjoy their Adobo, Pork Chops, Meat Kabobs & Lumpia Rolls. They also have pretty decent TURON! Turon is like an egg roll but with fruit inside instead, a fried filipino dessert roll. The food tastes like good home made cooking, I just wish their portions were a bit larger. All n All a great spot for Filipino food in the Flat-Iron area! ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.333859649; Sentiment_Subjectivity (from 0 to 1): 0.550350877 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go Go Curry has me hooked! First of all I must say, I have no idea what is in that mystery brown curry sauce they slap on all their dishes but I honestly don't even want to know! It's just REALLY KICK-BUTT good! I could buy a tub of that sauce and keep it at home to put on everything! This is a great option for fast food lunch if your in midtown. Cheap, you get a good amount for your money and it will leave you hooked! A must stop by! ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.585416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Summer, Winter or Fall I find myself enjoying this cozy cafe all season's long. This is such a perfect spot for MANY things. Dinner, brunch, late night eating or maybe just a latte' & sweet treat. I have came here on dates, with family, group of friends for dinner or a girlfriend for breakfast. It's laid back, it's romantic, it's honestly such a great little spot. Dinner has so many great selections but my all time favorite is their steak and frites! I am a big meat eater and have had my share of steak houses but for some reason the steak at Cafe' Orlin is my favorite! Cooked to perfection and the sauce is super tasty & smooth. They have great Sangria as well and a nice wine selection. For Brunch most people will tell you to get the Pumpkin Pancakes..and damnit, get them! You will be glad you did! Whenever friends call me to ask where they should go on their first date, where to take their mom for brunch or where to get a late night treat..I ALWAYS tell them go to Cafe' Orlin. I suggest you do the same. ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307253086; Sentiment_Subjectivity (from 0 to 1): 0.59537037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Corner Bistro is the hottest corner in the city!... Let's see... - $3.00 Beer - $6.00 Juicy Freshly Made Hamburgers - Booths - Cuties (Men & Women) - Sports - Rock Music - Dive Bar I would have to say....HECK YEAH!!!!   If any of these things are on your check list then Corner Bistro is what your looking for! I love grabbing a beer & burger at this little west village spot. It tends to get packed here so I suggest coming here in the afternoons. Burgers are not the best I have ever had but they still are awesome. The fries are so/so but If your not a health freak I'd say slap on some melted cheese and they do the job well! If i'm in a Dive Bar Burger Mood.. I head to Corner Bistro! ;o); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.645605469; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bonita' Calle Ocho! My favorite place for *Group Brunches*! Being that I run a large womens group in the city the perfect place to hold our large monthly Sunday Brunches is at Calle Ocho. I can fit a table of 20 easily at this lovely brunch destination! I think this place has the most incredible brunch selections along with the UNLIMITED Sangria (Who can beat that!). I must say though that in my opinion as far as brunch goes, this place is really better for ONLY Large Groups. It's very lively, gets crowded and pretty loud. Not a very relaxing spot to brunch for 2. I would not suggest this place as a brunch spot for couples, It's way too hectic for that. If you have family in town or are entertaining a group of friends then this is the spot you want to come to. Other than that, a casual brunch with a friend or partner.. this would not suit you well (my opinion). I always have fun at this spot and sometimes I wish they had dancing.. yes I said it. Brunch & dancing! After having about 5 sangria's I find myself dancing in my chair to their great latin music selection!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.341066509; Sentiment_Subjectivity (from 0 to 1): 0.673214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 going to Snack for close to 5-6 years. My favorites are the avgolemono soup (I always order two), the cheese triangles, the lemon lentils, the greek salad, the beet salad, and the sandwiches. The garlic potato dip is POWERFULLY garlicky. I would order their entrees more often if they weren't so gigantic. Between the food and the cozy ambiance, I'd give it five stars but I had to take one away because: it's tiny. Five tables. About 1/3 of the time I go, I'm so hungry that I end up getting my food to go and sitting on the bench outside or near the playground. The other reason I took away 1 star is because they keep using this blond waitress that was hired last summer or spring. She's the worst. The first time I noticed her, she got my order wrong and insisted that I had ordered what she thought I did, even though I order the same couple of items and what she insisted I ordered was not one of them. Then when our food finally came, she kept coming by and trying to take away the plates even though food was still on them and my friend was still eating. The table next to us also kept saying they weren't done with their food when she tried to take away their food. She forgets orders frequently and I'm just confused about why they keep her on if she can't do her job correctly even though she's only overseeing 4 two-seat tables and 1 three-seater.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.054166667; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love that they char their pork belly! makes it extra tasty. The most I've ever waited here was 20 minutes but I always try to come close to their closing time. I think they have a pretty fair system except the guy who manages the list has a bit of AF (if you know what that means). I always catch him ogling the Japanese girls. So I love the broth here, the tonkotsu is porky goodness. The spicy is FIRE BREATHINGLY HOT. Last time I had it, I couldn't really taste anything else. I don't knw how people get the extra spicy. I don't love their noodles, they are the squishy, thick and wavy type. The mega bowl is not that intimidating. I was able to finish it even when I wasn't that hungry. But the extra pork is NOT charred - it comes in big chunks, which makes it a bit unappetizing. And the extra scallions and garlic paste are unnecessary, as it overpowers the porkiness of the broth. This place is tiny (though not as tiny as Rai Rai Ken) and a bit dingy, so don't be surprised if you're asked to share a table or sit at the bar, which gets pretty claustrophobic.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.088541667; Sentiment_Subjectivity (from 0 to 1): 0.519444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 oysters, but the poor (and slow) service set them back 1 star. a friend and i came from lunch; she had the croque madame and a bloody mary, and i ordered a half dozen barnstable oysters and three fisher islands, plus a parmesan soup. we finished off with a caramel tart. the oysters were great; the barnstables were fresh and briny, and the fisher islands were a slightly firmer texture and even brinier. the parmesan soup was just OK: it tasted like someone boiled a parmesan rind with some kale and threw in a few croutons. i was pretty disappointed after i read some raves about it on yelp. the caramel tart was killer, as in it killed me. that is a lot of dark chocolate. and it floated on a sea of caramel. this is definitely not for the faint of heart. the service, as i mentioned, was slow -- at points ridiculous, considering the place was barely packed on a cold sunday afternoon. the waitress ignored us for a good 20 minutes before we got her to give us menus, and getting the check took maybe half hour for us to track down someone. where are the servers -- hiding in the kitchen?!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.076157407; Sentiment_Subjectivity (from 0 to 1): 0.50162037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Having been a longtime customer of Joe's, I felt I've had enough meals there over the years to notice a downward trend. the chef who makes the soup dumplings must have left recently (within the past 2 years) because the flavor of the broth and the wrapper of the dumplings are significantly different. The wrapper texture is now thicker and puckers more out of the steamer. And the crab meat dumplings -- something is seriously wrong with it. Not even the vinegar and ginger could save it. In our most recent meal, we got the subgum rice cakes. It was OK -- not much different from any of the other Shanghai places in Chinatown or Flushing. I agree with other reviewers: The Joe's in Flushing is about 25% percent better. At least I don't have to share tables or get charged an automatic 15% tip there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.046666667; 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: Best halal truck in the city. I've been eating here since my teens, when I'd come out of a concert at Radio City and want more than a hot dog. It's particularly good late at night (it's still there at 3am!) but maybe that was just the drunk being hungry. Either case, it's just good all around. The meat is never dry, and there's plenty of food for the $. I prefer mine with lots of white sauce and just a little red sauce (spicy!). White sauce goes with everything.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.176736111; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG where to begin? I was home for a few days and Minetta opened after I moved from NYC, so I just had to try this place since I'm a McNally fan. There were three of us (all girls) and we got: Apps: foie gras pastry Escargot gnocchi Beef marrow (mine) Entrees: porcheta roll (dinner special) pasta zaza Sides: potatoes anna spinach Dessert: chocolate souffle (must order ahead) We were laden with oils. Everything was cooked in either duck fat or pork fat or a combo of both. My heart nearly stopped after I ate half the beef marrow (so many bones, not enough bread!). The escargot gnocci was swimming in garlic buttery goodness. The pasta zaza was OK; the pasta was dry and the egg yolk didn't do much to wet it. My friends had the porcheta, which was pork sausage rolled inside a piece of suckling pig in a sauce that tasted like a million pigs were cooked in it. Porky heaven, methinks, but too rich and heavy after a few bites. The portions were huge on this. The potatoes anna were thin potato slices baked with duck fat until the top is crispy and the inside is creamy. Like a potato creme brulee. IT IS AMAZING. We barely had room for dessert but had to get one of the souffles. It was so light and fluffy, and after we knocked that off I sat in a food-coma stupor for a long time. The decor is 150% McNally; the staff was great. Our server was a French girl who was so adorable and helpful. We opted to serve ourselves the souffle but we sat for awhile admiring its wonder with the spoon in our hand and the maitre d' got concerned and came over to see if we needed help. He and our server both laughed (kindly) at our insistence at puncturing the souffle ourselves. It was a magical dinner, but I couldn't eat meat or anything remotely oily for the following two weeks. My body did not understand how to process all that fat in one sitting!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.185671769; Sentiment_Subjectivity (from 0 to 1): 0.49957483 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: got here right when it opened, and had absolutely no wait on a weekday during christmas week. the akamaru modern ramen is to die for. i will dream of the hot steaming broth, the chewy noodles and the slices of pork belly -- 95% fat, 5& meat -- for weeks and months to come. the pork buns were delicious and pleasantly spicy; my only wish is that they come 4 to a plate instead of just two for $7. me wantee pork buns!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338435374; Sentiment_Subjectivity (from 0 to 1): 0.793197279 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my gosh. I went here with a good friend during a lady date; neither of us had ever been before. There are only about 4-5 tables (seriously), so we had to wait, but sweet Jesus...that lamb sandwich. I would wait a year for that beauty. So tender and flavorful, on bread so fresh! It was a dream come true for my mouth. Topped off with a mint lemonade (one of my favorite things) and it made for an absolutely fantastic and memorable lunch. I'll be back for sure :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.320138889; Sentiment_Subjectivity (from 0 to 1): 0.737962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Despite truly delicious food, I'm more tempted to give Toby's 3 1/2 stars, and here's why: I've been going to Toby's since they first opened, but sadly (or, in the interest of my waistline, happily) I can't afford to make a habit of it. The prices are just across the board too high. Pizza at its most basic doesn't cost much to make, so is the priciness there to offset items like black truffles, or is Toby's testing what the market will bear? They are also cash only, a practice I was hoping would prove temporary. Two years later, however, I'm dropping a stack of twenties on pizza, which just doesn't feel right. Most of the time. There are, of course, those "screw it, I've earned this" nights where, practicality be damned, you just want to gorge on delicious brick oven fare and enjoy yourself. On those occasions, let Toby be your man. Just don't be surprised if you can't afford another visit for a month or so.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.295826331; Sentiment_Subjectivity (from 0 to 1): 0.59219888 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sure how this place escaped my attention until now, but  now that I've found it I will definitely be returning! There really wasn't anything about Almond I didn't like! First of all, everyone we encountered was very friendly and attentive. The service was really top notch! Second, the menu had a lot of variety, and everything sounded delicious. I always take it as a good sign when there are multiple entrees I'm interested in, and that was definitely the case here. The decor was perfect; chic without being stuffy. There were a lot of smart design elements, too, like the coat hooks on the bar. Nice touch! It is also worth saying that the lighting was very well thought out; dim enough to create ambiance without being so dark that you can't take in the room (or food)! Restauranteurs of New York take note! Onto the food: First of all, the bread and butter were delicious. I know it's bread and butter, but really; exceptionally tasty. For dinner,  I ordered a rack of lamb special that was EXQUISITE. Served with baby root vegetables and a tasty jus, it was all seasoned and cooked to perfection. My fiance ordered the NY Strip steak with Roquefort cheese, cooked absolutely beautifully. The fries that came with it were piled in an ample heap and they were delicious! A word on the bar; I don't drink, but my fiance had the Sidecar Royale and then a glass of wine with dinner, and both were apparently lovely. For dessert, we shared the Chocolate Pot De Creme, served with a generous layer of creme fraiche and topped with salted almonds. I can't really express just how perfect this dessert is! The chocolate creme is delicious enough on its own, let alone with the creme fraiche...but the salted almonds just took it to a whole new level. It provided just the right amount of crunch and the saltiness was a perfect pairing with the sweetness of the creme; sensational. The total bill came to just over $100. Considering the meal we had and the level of the service, I think that's a fantastic price.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.409820799; Sentiment_Subjectivity (from 0 to 1): 0.622821236 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hey kids! Do you like THE SMELL OF SMOKED MEATS? Do you like SITTING AT A LONG WOODEN TABLE, LIKE VIKINGS? Do you like HELPING YOURSELF TO MASSIVE QUANTITIES OF PORK AND BEEF? Do you like GROWLERS OF BEER? Then you will like Fette Sau. It is stripped down, excellent barbecue. For a meat-eater, the smell when you walk in is intoxicating. You order meat by the pound(/quarter pound/half pound), so if you've been to Hill Country you know the drill. I thought the selection of sides was a bit limited, but maybe that's for our own safety. I had the German Potato salad, which was good, but not fantastic. I think I would have liked it a LOT better warm. Of course when you're there it's all about the pork, really. I had the pulled pork shoulder, and it was excellent. Pile it onto a complimentary potato roll or shovel it into your mouth with a fork (or do both, like I did!)  A squirt of some of their barbecue sauce doesn't hurt, although the dry rub IS delicious. (PS I love mustard, but their German mustard is so hot that it tastes like goddamn murder). All in all, definitely a worthwhile trip, though I recommend going during the week and/or slightly earlier than peak hours (say before 8) to give you a better chance of having a seat. Williamsburgers are skinny but they will fight a bitch for a table.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.331253968; Sentiment_Subjectivity (from 0 to 1): 0.579269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! Just ordered take out from Korzo this evening. I had the Euroburger, which came with fried white AND sweet potatoes. Oh MAN was it good. Burgers and fries don't always travel well, but this was excellent. The caramelized onions, the crispy roll, and delicious beef cooked to perfection! My fiance ordered the Wunderwurst platter, which also seemed plentiful and delicious. The man I spoke to on the phone was very polite. Can't speak for the dining in experience -- yet. I can easily imagine an in-person visit to Korzo bumping this up to a 5-star rating. Great stuff!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.580833333; Sentiment_Subjectivity (from 0 to 1): 0.713333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yum. Delicious burgers, tasty side salad, cute and cozy location and super friendly service! My friend had one of their chicken sandwiches and she was equally pleased! We both left with food-babies and smiles on our faces. Thanks, Ruby's!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26412037; Sentiment_Subjectivity (from 0 to 1): 0.674074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is a tiny restaurant with lots of flavor!   I went for dinner - which apparently has a different menu than lunch - and ordered the fava as an appetizer and the boneless lamb for my entree.  Yum and Yum!  When I first get my meal, I thought that I wouldn't be full by the end, but I am still stuffed!  I suppose it helps that I ate the fava with pita bread (which was warm and chewy).  I also tasted my friend's classic Greek soup - also terrific and very authentic.  I had a Greek roommate my first two years in NY and I swear this was just as good as his homemade "Greek Penicillin" (basically chicken broth with egg, lemon, fresh ground pepper, and orzo).   The service was fine, nothing really special.  But I was impressed that even though my and I had one of the four coveted tables, they never rushed us out for one of the couples waiting to be seated. I will have to go back for lunch and try the lamb sandwich that everyone seems to rave about on this lovely site we call Yelp.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.24180839; Sentiment_Subjectivity (from 0 to 1): 0.489512472 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 girlfriends and I came here for brunch last weekend.  The place has a casual, at home vibe and friendly staff.  I ordered the "warm bankie" which consists of sunny side up eggs over creamy polenta with mushrooms, asparagus, and truffle oil.  While I very much enjoyed the dish, I was expecting to be blown away.  I also should mention that the coffee was "meh" - you should probably go with the one of their breakfast cocktails rather than the coffee.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195; Sentiment_Subjectivity (from 0 to 1): 0.546666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***4.5 Stars*** Pylos was all-around excellent.  I loved the decor - orange clay pots as the ceiling tile and bright blue walls with big mirrors.  Also, the service was friendly, helpful, and always kept our drinks full.  But the best thing about Pylos is the FOOD! We were looking for a relatively light dinner so only ordered an appetizer to share and salads, but both left a solid impression.  We ordered the appetizer, k o l o k y t h a k i a   k a i   m e l i t z a n  a k i a   t y g a n i t , which is baked eggplant and zucchini slices to dip in tzatziki.  Oh my what glorious flavor!  We were also pleasantly surprised with the complementary pea dip and warm flat bread.  The salads (h o r i a t i k i ), although relatively simple, were fresh and perfectly seasoned.   Everything that walked by looked amazing and I desperately want to return when I am more hungry to try out more dishes.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.302173913; Sentiment_Subjectivity (from 0 to 1): 0.520962733 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's so much to love about Cookshop. 1.  The FOOD!  My friends and I are a bunch that like to order an assortment of foods and split everything - optimizing the yummy-ness experience :).  We started with deviled eggs and their homemade pickles.  They were so good they were gone in minutes.  Next we split the broccoli rabe, olive oil, mozzarella pizza.  Oh. My. God. This dish was to die for.  As we ate the pizza, all we kept saying was... "this is soooo good!."  On the menu, it says it comes with olive tapenade; however, ours definitely did not have any olive tapenade, but it was still heavenly.  Next, we ordered the wings and homemade pasta dish with fresh ricotta, lemon, snow peas, fresh ground pepper.  Both dishes were excellent.  The wings juicy with a nice blend of sweet and spicy-ness!  The pasta dish was pleasantly refreshing - and didn't feel heavy.  I think it was the lemon, which added an aromatic effect in your mouth :).  We wrapped up the evening with their apple pie nachos.  This dessert was so fun!  It's cinnamon pastry cut into squares and lightly fried to make "chips."  Topped with apple pie filling, cheddar cheese, and salted caramel ice cream.   2. The service.  Given the day's perfect weather, we really wanted to sit outside.  When we arrived, they said the wait for outside was 45 minutes.  Therefore, we went to the bar and started with some appetizers (we were pretty hungry!).  After over an hour, our outdoor space was still unavailable.  We needed to catch a movie and didn't have time to endlessly wait, so we ordered our dinner at the bar - they said we could move to the outdoor area once it opened up with out food.  By the time the outdoor area opened up, we had already finished our dinner so only ate dessert outside.  Although it would have been nice to have the whole meal outside, it was very nice of them to let us have our dessert out there.  And a BIG plus was the AWESOME bartender.  She was adorable - very friendly and attentive and beamed positive energy. Looking forward to coming back to try more of their tasty dishes - particularly excited to check out their brunch!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35430323; Sentiment_Subjectivity (from 0 to 1): 0.588038278 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Welcome to the UWS Anthi's Greek Food!   Anthi's is a tiny, Greek take-out treasure.  They have many tasty salads, yogurts, baklavas, etc to choose from.  I have had their artichoke salad, which can only be described as fresh and delicious.  Also, I couldn't help but get a taste of the mini-baklava - crispy and sweet just the way I like it!   On top of a wonderful selection, the man who I am guessing is the owner is super nice.  Lastly, the serving sizes are perfectly paired with the price!   Excited to have them in the neighborhood and looking forward to trying many more off of their menu!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.442824074; Sentiment_Subjectivity (from 0 to 1): 0.612962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such an unexpectedly wonderful find!   My girl friend and I were in the area to attend the taping of Last Week Tonight with John Oliver and needed to grab a quick bite before heading to the studio.  Let me tell you - there are not many appealing options in that area - so we really didn't expect to find such a great little coffee shop!  We both ordered the arugula salad and a pastry.  Everything was fresh, made in-house, and really hit the spot.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.237413194; Sentiment_Subjectivity (from 0 to 1): 0.476388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my, what a lovely selection of Pomme Frites dips you have!?!? I ordered the sweet chili, "Mexican" ketchup, and cheddar with my large fries... I was sharing with friends... I swear! The sweet chili may have been my favorite - just as the name suggests - it was sweet and spicy (oh baby!).  The "Mexican" ketchup in no way resembles "American" ketchup.  It was a freshly blended mix of jalapeño and cilantro - yum!  With all that spicy-goodness, I thought I would get something completely different, hence, the cheddar.  This did provide our burning tongues with a nice, tasty break. The fries and sauces didn't stand a chance - they were wiped out before Glee even started ... that's right, I was at a Glee premiere party!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.309134615; Sentiment_Subjectivity (from 0 to 1): 0.52032967 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here for a lovely Easter brunch with my favorite girls.  I couldn't forget the glory that was their banana French Toast from my previous visit, so convinced the group to order one for the table - Everyone was thankful for this - even the gal who doesn't enjoy bananas!   After not being so impressed with their Eggs Benedict last time, I ventured out to their baked eggs AND artichoke dish (don't worry - one of the gals and I split these dishes).  They were both INCREDIBLE.  The artichoke dish was fresh and wonderful - but I should warn you - it wouldn't be enough for a meal.  The baked eggs on the other hand is really dense!   Also highly worth noting is the EXCELLENT service - super friendly and told us to take our time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.392156863; Sentiment_Subjectivity (from 0 to 1): 0.542647059 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: People aren't joking about the wait at Clinton St. Baking Company.  We put our names in for a table at 10:30 am and didn't get seated until almost noon!   Once we were seated, we were soon indulging on heavenly (free) biscuits and coffee con leche - mmmmMmmm!  My girlfriend and I ordered two entrees to split.  Their famous and fabulous blue berry pancakes with warm butter maple syrup.  And the southern breakfast - two eggs, fried green tomatoes, cheese grits and bacon that's been cooked with sugar.  Everything was excellent!  If I went back tomorrow, I'd order the same thing again :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.538636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was blown away by the quality, flavors, and creative menu at Boulton and Watt.  We ordered the mac and cheese (yum!), the burrata (oh so good!), the fried green tomatoes caprese (loved it!), the quinoa salad (awesome!), and the veggie burger (I was less excited about this but my friends loved it).  We also tried to order the warm kale and artichoke fondue, but sadly they were out of it - sigh - guess I'll have to go back :).  We ended the meal with some very tasty desserts: brownie batter in a jar, chocolate banana bread pudding, and mini-ice cream cones with salted-caramel ice cream.  All so, so good.  I also liked the industrial ambiance and large open space.  Looking forward to coming back for more!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.356130952; Sentiment_Subjectivity (from 0 to 1): 0.602261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to like this place more than I did.  Sure, the food was good and the service was attentive enough, but something was missing for me.  I am a big, big tapas fan with a number of favorite spots in the city and was hoping to add another hot spot to that list.  I am very aware that tapas are small portions, but I felt like theirs were particularly small and that we had to order a lot to fill up.   Three of us shared: Cojonudo (quail eggs) Bombas de la Barceloneta (beef/potato croquettes) Croquetas Cremosas (ham and mushroom croquettes) A special that had seafood so I didn't eat it ... Pintxos Morunos (lamb on a stick) A special that had bread and spreads Tortilla Española (classic Spanish omelet) AND a pitcher of Sangria; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.197408964; Sentiment_Subjectivity (from 0 to 1): 0.4660831 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Supper's menu was filled with tempting deliciousness!   When you are seated, you are served at least two types of bread with a yummy white bean side to go with.  I ordered the grilled polenta and was blown away.  The dish had a large square of grilled polenta topped with prosciutto, parmesan, radicchio, and drizzles of a balsamic reduction.  I will be back for more :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.202040816; Sentiment_Subjectivity (from 0 to 1): 0.46122449 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ***2.5 stars*** I would describe Riposo as the most casual wine bars on the UWS.  It's much, much nicer than a dive bar, but much more chill, low key, and less romantic than most other wine bars on the UWS (including my favorite, Tolani).   The wine list is long and the service is good (attentive and friendly).  We didn't order any food, but the menu looked tempting.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.188888889; Sentiment_Subjectivity (from 0 to 1): 0.547222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Flat Top you are one of my favorites! First, the atmosphere is warm, rustic, and homey.  Next, the menu is fabulous.  My girlfriend and I split the burrata appetizer, brussel sprouts side dish, three-mushroom risotto entree, and bread pudding dessert!  The burrata dish was heavenly with a generous portion of creamy delicious burrata served over arugula splashed with a vinaigrette and heirloom tomatoes.  The brussel sprouts were sweet and delicious - roasted with brown sugar chestnuts and cranberries.  The three-mushroom risotto was perfect - filled with tasty mushrooms and topped with a parmesan foam.  The bread pudding - typically one of my favorite desserts - was kind of anticlimactic.  It was ok, but didn't taste fresh.  Next time, I'll order the chocolate mousse with rasberries that I saw go by several times during the night.   All in all - such a great place to dine with a good friend :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.428787879; Sentiment_Subjectivity (from 0 to 1): 0.60719697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lovely surprise.  Freemans is tucked in at the end of an alleyway in the LES and has a huge space!  My party of six was seated upstairs in this separate space - so we truly felt like we had our own space.  The atmosphere is very country/comfortable, which is also how I would describe the food.  We ordered the mac/cheese for the table - yum! And I ordered the vegetable pot pie for my entree - it was excellent - warm, lots of greens, fluffy puff pastry on top.  We weren't too excited about the dessert menu so passed.  On top of the great atmosphere and food - the staff was super friendly and attentive.  Looking forward to checking them out again - particularly looking forward to trying out their brunch.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.446666667; Sentiment_Subjectivity (from 0 to 1): 0.656666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ordered the basic with black beans.  Pretty good, I'll go back, but next time I will ask them to go easy on the rice!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.189285714; Sentiment_Subjectivity (from 0 to 1): 0.427380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: *** Four stars for the food *** The food at Heidi's House was excellent.  We started off with the artichoke salad, which was heavily.  The artichokes were warm and meshed well with the flavors of arugula, capers, cheese.... MmmmMmmm!  Next, came the piping hot mac and cheese with mushrooms and truffle oil... so, so yummy!  And, lastly, we topped it off with the date pudding.  Wow, this dessert is really special and required eating when you visit the Heidi's House. Everything else was only 2 stars...  The service wasn't great - my water frequently remained empty too long.  And since the space is tiny, we had to wait almost 40 minutes even though we had called at 5 to put our name in (this is their alternative to reservations).  Also, the seating is mostly bar stools with no backs, so I feel like it's not super comfortable.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.223704482; Sentiment_Subjectivity (from 0 to 1): 0.588515406 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Condesa is West Village gem!  The atmosphere is cozy and warm, the staff was friendly and attentive, and the food was "oh so yummy."  I ordered an entree-sized portion of the artichoke ravioli (on the menu, it's only listed as a starter).  There were so many lovely flavors dancing around in my dish - the artichoke ravioli themselves were fantastic and topped with a lovely red sauce filled with olives and capers and covered in  pecorino romano cheese.   My friends ordered the scallops and were very pleased with their dishes (I don't eat sea food so can't vouch for it myself). We also ordered a crisp, medium body, medium acidity, white wine that was not only very good, but well priced.  This spot was truly a welcome, random find at 11:30pm on a Saturday night!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.303333333; Sentiment_Subjectivity (from 0 to 1): 0.674814815 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had a 5-star experience at Print to celebrate my 30th (shhhh!) birthday. The atmosphere, service, and especially the food were all top-notch.  This farm-to-table restaurant is fresh, creative, and beyond tasty.  As one of my girlfriends reflected at the end of the night as we were eating dessert, "I can't choose a favorite dish, they were all just so good!"   As a table, we ordered the following highly recommended dishes: - burrata, tomato basil salad - goat cheese gnocchi - stuff quail - asparagus salad - crispy duck - fresh ravioli - rhubarb galette - marsala cream puff - chocolate bread - whipped chocolate flan They also had an excellent selection of wines and fun cocktails!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.455454545; Sentiment_Subjectivity (from 0 to 1): 0.676363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE this place. I went with a party of 5 for a going away dinner (come back Curtis!).  The atmosphere is colonial and full of character.  We each ordered our own entrees and ordered four sides for the table.  Each dish was a generous portion and very well done.  I ordered the Shepard's pie (perfect for a cold January night) and couldn't get enough of the brussel sprouts with bacon and apple.  The asparagus, mac'n cheese, and mushrooms were also very tasty.  In addition to the tasty dishes, we had a lovely bottle of red.  Although we were quite stuffed from dinner, we still ordered two desserts for the table.  Sadly, they were out of our first choice (maple bread pudding - mmMmmmm) so we ordered the cherry pie and the flour-less chocolate cake.  Both were good, although I was surprised the cherry pie was served cold.   After we had a fantastic dinner - we moved over to their bar and about 20 people joined us there.  It had more than enough space for everyone and a great beer selection.  I would definitely go back to this place for either dinner or hanging out with friends.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.20952381; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Saxon and Parole's version of eggs Benedict is their Smithfield Mangalista ham dish, which takes eggs Benedict to the next level (and eggs Benedict was already my favorite brunch dish!?!).  The poached eggs rest on a thick and flavorful toasted potato parmesan cake and are covered in a heavenly yuzu hollandaise sauce.  The flavors of the Smithfield Mangalista ham (basically prosciutto), poached eggs, hollandaise and parmesan cake blended perfectly together to create a party in your mouth!  This dish deserves 5-stars. I got there early so sat at the bar and ordered coffee/pastries.  Unlike at Public (one of my favorite brunch places owned by the same folks), you can't buy singular pastries so I had to buy an entire "basket" of pastries.  This was disappointing, but I knew my friends would help me finish when they arrived so I went for it despite the price tag ($9).  The basket came with three breads and spreads - the scone was the winner in the basket.  I was surprised when I closed at the bar that I had been charged for two coffees (yes, I had had my cup re-filled, but was not told when I asked for more coffee that it was extra for that re-fill).  I warned my lady friends that coffee was charged by-the-cup.  So one of the ladies asked our waiter if the coffee was "bottomless" and he said YES.  Confused, I told him that I had been charged for two at the bar!  He apologized and gave our table their coffee for free to make up for it.  I appreciated the gesture.   Unfortunately, I didn't partake in the Bloody Mary bar, but it looks like it's worth coming back for.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.051488095; Sentiment_Subjectivity (from 0 to 1): 0.499603175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lived in NYC almost 10 years - and I even got a Master's at NYU - yet somehow today was the first time I made it to Shade - shame on me!  Shade was such a delight!  The staff is super friendly, the crepes were super yummy, and it had a comfortable, low-key atmosphere great for a Saturday afternoon.  I had the basil crepe - basil, tomato, and balsamic.  And split a chocolate, strawberry, and banana dessert crepe.  And even tasted a bacon-infused crepe with strawberry and maple syrup.  All of the above were great.  Although, the chocolate in the dessert crepe was obviously chocolate syrup, not actual chocolate - boo!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.304924242; Sentiment_Subjectivity (from 0 to 1): 0.515151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If this place were in Manhattan, I would come here all of the time for brunch!  The atmosphere was delightful.  There was exposed brick, the wood was finished with a sun-soaked turquoise, the bar and tables lined with Moroccan tiles, and real palm plants sprinkled throughout.  The menu was overwhelming with so many interesting and delicious things to try.  We split the ricotta special for the day - it was fresh ricotta covered with honey and candied almonds served with whole wheat pita - it melted in your mouth and was creamy with sweet and salty elements.  I couldn't decided between the green eggs and lamb, the Turkish breakfast, the polenta and eggs, or the parmesan toast.  I decided on the polenta and eggs and my friend ordered the parmesan toast.  And although my plate was excellent - the winner at the table was the parmesan toast.  It was inspired by eggs benidict, but instead of ham/bacon had snow peas and instead of an english muffin had parmesan french toast, and instead of hollandaise had a hollandaise-esque lemon cream.  It was excellent!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.447142857; Sentiment_Subjectivity (from 0 to 1): 0.581428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heart Jacob's Pickles.   Their food is splendid.  I've had dinner, drinks, and brunch at Jacob's and they were all fantastic.   Things to enjoy while at Jacob's: - honey chicken with spicy pickles on a biscuit sandwich - the greatest cheese grits of your life (will ruin all other cheese grits for you) - the chocolate bread pudding - the fried pickles (or really any of their pickles) - the spicy margarita - the bacon, eggs, and cheese biscuits - their root beer selection :) Things I can't wait to try: - the turkey leg dinner - the mac 'n cheese Jacob's Pickles (along with Cotta) have become my newest "go to" places on the UWS.  Thank you for being so awesome!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.400925926; Sentiment_Subjectivity (from 0 to 1): 0.769444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Little Owl was the perfect birthday spot.   We had a dinner reservation for a party of 5 at 7:45pm - but we all got there at 7 because that's how we roll :).  The space is too small to wait inside; however, they served us "tea" (wink wink) in cute little tea saucers that we could drink on the sidewalk.  This gesture captures so much about the look, feel, and service at the Little Owl - everything about this place emphasizes, "we want to welcome you here and make sure you have a great time."  The hostess and waitress were super friendly and helpful.  The owner even came out, introduced himself, and gave the birthday girl (me :)) a little gift. The food was fantastic.  We started with several appetizers for the table - the sliders were juicy and delicious, the pasta was fresh and oh-so-good, the corn was superb, and the eggplant was full of flavor!  For my entree, I ordered the lamb - wowee! - it was perfectly tender and delicious!  To end our meal, we ordered the beignets and lava cake with espresso gelato, where the gelato stole the show!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.424139493; Sentiment_Subjectivity (from 0 to 1): 0.706763285 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place for a healthy, affordable, and delicious meal!  I particularly love the spicy eggplant side.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy Mother of Meatballs this place is good! I never doubted that I would enjoy my experience at Meatball Shop - after all the raves I had heard - but I was still a little confused by the 2 hour wait last Thursday evening.  I mean, come on, they are just meatballs, right?   WRONG!   First, even though there were four of us, we were able to snag seats at the full-service bar thereby avoiding the absurd wait.  Next, I struggled to "fill-out" my menu - you write with marker on their menu to pick out your meatball, sauce, and "fixin's" - but the bartender was super helpful.  This said, there is no going wrong.  I ordered a somewhat classic sandwich - the smash with beef meatballs, classic tomato sauce, and mozzarella with family jewels (a fried egg on top).  The smash is served with a delightful green salad on the side.  I was a mess with tomato sauce and runny egg yoke - but GOD IT WAS SOOOOOOOO GOOD.   To add to the glory of the evening, I also ordered an ice cream sandwich with espresso ice cream between chocolate chip and macaroon.   This meal was sooooo incredible that when one of my gfs Emma said she was going back the NEXT day with her gf for lunch - I promptly invited myself for round two :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.133745421; Sentiment_Subjectivity (from 0 to 1): 0.508585165 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Two stars is probably way too harsh, but let me explain. 1.  My eggs benedict was  good - but didn't have enough hollandaise sauce and I have simply had better. 2.  The service was poor - yes, our party was late to the reservation BUT they could have booted us, let us sit before our full party was there or simply sucked it up and been nice!  The waitress was rude and pushy to quickly get our order, but then never showed up again to fill up drink orders, etc.  Plus, she screwed up two of the orders. All in all, my food was good (best part of the food was the mashed potatoes that came on the side) but  I won't be going back since the service was rude and I have had better ... hence, 2 stars!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.203431373; Sentiment_Subjectivity (from 0 to 1): 0.521428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love their brunch!  I always get the croissant french toast with a side of eggs.  Everything else I have had is good as well.  The service is a bit slow, but that can be nice on a busy brunch morning when you don't want to be rushed out.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2875; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The reason I am giving Joe's Shanghai a 2 and not a 3 is this: 1.  The wait is too long ....and they call number's out then say "just checking" as a way to update their waiting list... but it is a big tease when you have been waiting for an hour and are hungry! 2.  The soup dumplings were good, but they the dough was very thin and therefore broke too easily...  it is no fun losing more than half of the soup of a soup dumpling!  I did like that they had the vinegar that goes onto it already on the table when you arrive though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.088125; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Public is a classy SoHo brunch spot that offers a "Sex and the City" NY atmosphere with excellent service and even better food!  Two little apricot  scones (YUM - and complementary) welcomed us to our table as soon as we sat down.  We ordered one sweet and one savory dish to split - this is the only way to do brunch!  For our savory, we got the delectable Turkish Eggs.  Turkish Eggs translate into poached eggs served in a bowl of Greek yogurt and melted Turkish butter and spices.  The eggs are also served with a thick slices of French bread to soak up the yogurt.  It almost feels like an eggs Benedict dish, but instead of hollandaise drizzled over poached eggs, the eggs swim in a dish of yogurt!  For the sweet, we ordered the coconut pancakes served with fresh ricotta, mango, and (of course) coconut.  Not only were the "fixin's" fresh and delicious, but the pancake itself was dense and full of flavor.   There was one snag in our service when they accidentally brought out the ginger French toast instead of our coconut pancakes - truthfully would have devoured that too it looked so good!  It was no big deal and they corrected it immediately; yet, to "make-up" for the mix-up, they brought us this fabulous strawberry cake covered in chocolate and coconut shavings.   To sum it up - if you want to get your brunch on - Public is your spot for excellent food, coffee, and a trendy SoHo atmosphere.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.277190171; Sentiment_Subjectivity (from 0 to 1): 0.528739316 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bianca is a cute Italian restaurant in NoHo that consistently offers solid food at a reasonable price.  The service is only "meh" and I was a little disturbed when I noticed they have a "B" health review right now  :(.  I've been several times, while I always enjoy my dish, it's not one of my favorites and I never truly got the fuss over it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.049837662; Sentiment_Subjectivity (from 0 to 1): 0.475974026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bustan has officially been added to my list of "go-to" dinner spots on the UWS! The menu was filled with tempting options.  We split the burrata dish and mushroom hummus bowl!  The burrata dish was rich and delicious - it's a sizable portion of burrata on top of artichokes and topped with balsamic, olive oil, and sea salt.  The mushroom hummus bowl was hearty and tasty - served with warm bread right out of the stone oven. The only down point was the service - they weren't particularly friendly and at times I felt like we were bothering them.  Hopefully that was just our particular server and not something particular to the restaurant.   Looking forward to go back to try more!  As a heads-up, you'll probably need to make reservations.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.341422466; Sentiment_Subjectivity (from 0 to 1): 0.557020757 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Cellar at Beecher's is seriously one of my favorite spots in the entire city.  I've been here dozens of times and it never fails to deliver awesome food and good service!  I echo all of my previous comments and feel it very necessary to shout-out tonight's dessert special: salted caramel brownie with fresh whip cream.  It was PERFECTION.  The blend of sweet, salty, chocolate, and whip was divine and the warm, moist texture of the brownie couldn't have been better.  We ordered one to split amongst the five of us and we literally ordered a second helping because it was that good.  THANK YOU Beecher's for continuing to blow my taste buds away :).  I wish I could some how give you six star!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.347321429; Sentiment_Subjectivity (from 0 to 1): 0.611235119 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new favorite Thai restaurant in the NYU-area! The Thai tea is a must-order!  The presentation is excellent!  It is served on a tray with four items: (1) A tall glass filled with ice cubes that are made from the Thai tea, (2) a vial of the Thai tea, (3) a glass of condensed milk, and (4) a glass of sugar-water.  I strongly suggest the following pouring order for your viewing pleasure.  First pour in the tea over the ice cubes, followed by slowly adding the condensed milk, and top it off with the sugar-water.  To add to the excitement, you stir with a metal spoon that is also a straw :).   I wasn't too hungry so only ordered the Minced Chicken Mint and Lettuce Wrap (otherwise known as Larb Gai).  It was very good, but I wish it had been spicier.  I did have the pleasure of tasting the crispy-chicken and chicken a la panang.  Both full of delicious flavor!!! Looking forward to trying more dishes and taking advantage of the sunset special ($15 for a drink, appetizer, and entrée)!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.260914502; Sentiment_Subjectivity (from 0 to 1): 0.722244247 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How have I not eaten here yet?!?!  This place is literally right between my work and school!   Healthy food options AND at a good price - I got the half sandwich/ side salad deal for $7.  I ordered the very yummy (and toasted) prosciutto and mozzarella sandwich!  Although I would definitely order the prosciutto sandwich again, I am equally excited to continue to try different items off their fantastic menu!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.279497354; Sentiment_Subjectivity (from 0 to 1): 0.539153439 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Joseph Leonard is a real gem in the West Village.  It's quietly tucked away on the corner of Waverly and Broome - despite being a stones throw away from the madness that surrounds the Christopher Street stop.  The restaurant - with it's open windows, "sun-washed' wood, and central bar - feels like it is belongs on a dock or country village. We went for an early dinner after failing at the Book of Mormon lottery.  What a way to "save" the night!!!  The food was delicious.  We shared the vegetarian entree - veggie cakes - as an appetizer.  The server split up the two veggie cakes on to different plates so it was easy to share.  I would not have expected so much flavor, variety of textures, and "fillingness" from veggie cakes.  This dish honestly over shadowed my entree - strip-loin .  The   strip-loin was very good and well prepared, but I think I just prefer a different cut of meat (i.e. a fillet).  It was served on top of fries with a gourmet dijon mustard and was covered with arugula.   The gentleman I was with ordered the salmon special - covered with creme fresh, avocado, and summer beats.  I don't eat seafood, but he seemed quite pleased with his meal. We were way too stuffed for dessert after the meal, but did enjoy a couple of cocktails.  The drink menu isn't online and I don't remember the actual name - but it was basically a margarita on the rocks with a hit of pepper.   Note:  They don't take reservations and the place is small, so go early if you don't want to have to wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254561366; Sentiment_Subjectivity (from 0 to 1): 0.517528345 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think my expectations were set a little too high here.  I love larb (chicken) so I was super excited to see a larb place so close to my work.  It was good, but wasn't doing it for me.  Maybe it was a little too salty... I don't know... I've had better.  Given their otherwise strong reviews, I'll try a few other dishes before I make any final decisions!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.130897436; Sentiment_Subjectivity (from 0 to 1): 0.601153846 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 atmosphere gets 5 stars - the back room is a beautiful, large open space with a very classic feel to it. Our service was alright; honestly, nothing worth commenting about.  And the food was solid.  We started off by splitting the kale salad, and then I ordered the wild mushroom risotto and my date ordered the turkey/quinoa meatloaf for our main courses.  The kale salad was excellent and kind of got our expectations high for the rest of the meal.  The mushroom risotto and meatloaf were both good, but neither necessarily worth coming back for.  Perhaps we just poorly chose our entrees.  We ended the meal with the spicy chocolate pudding, which had cayenne pepper and cinnamon that gave it a special kick.  This dessert was also good, but not worth coming back for.  For a pudding, I was actually surprised by it's texture.  It was quite firm and almost had more of a firm mouse-texture  than a pudding texture.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.236590476; Sentiment_Subjectivity (from 0 to 1): 0.4476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dear Perilla, Thank you for brightening my Monday with a truly spectacular feast of deliciousness! My girlfriends and I used the excuse of restaurant week to make reservations at Perilla this week.  And, while it is restaurant week and the restaurant week menu was tempting, I decided to go rogue and order off of their regular dinner menu.  Best decision ever!   I couldn't decide between the Fingerling & Amish Cheddar Pierogi, Spicy Duck Meatballs, and Farro Risotto as my starter.  Thankfully, my good friend Jess L conspired with me so we ordered all three!  The Pierogi dish was "officially" mine, where the spicy duck, and risotto were Jess L's dish, but forks travel without borders at our table :).  All three dishes were delicious - full of flavor, quality, and creativity.  And I must ask, how do you get the duck meatballs to be so moist and juicy?!? For my entree, I ordered the Tasting of Zucchini, which was a dish that included zucchini prepared in three creative ways.  The first a labneh mint soup, the second a grilled ratatouille, and the third skewered on a bed of chickpeas and comte zata'ar panade. The Lebanese gal in me was super excited to see labneh and zata'ar on the menu - I was drawn like a moth to the flame.  I think the ratatouille stole the show, but the zata'ar skewer was a very close second.  It's hard to describe why this dish was so, so good.  Each tasting was truly a celebration of flavors and goodness in your mouth.   For dessert, I ordered the special - a chocolate souffe with coffee creme.  It was perfection ... moist and rich!  I honestly thought the evening couldn't have ended anymore magically... and then it happened... the waitress brought out little balls of heaven in the form of chocolate cookies with caramel and sea salt with our bill.   I had such a wonderful experience at Perilla and only spent about $10 more than I would have had I stuck to the restaurant week menu. (in other words, I paid the same  amount as my gfs who ordered off the restaurant week menu, plus a glass of wine). All in all - make your reservations today and be merry!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.319751984; Sentiment_Subjectivity (from 0 to 1): 0.533000611 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, simply lovely.   I had an all-around stellar experience here with a life-long friend.  We started off with some cocktails - I ordered the Ginger-Rita and he ordered the Bourbon with Ginger-ale (but not your average ginger-ale!).  Both were excellent - in fact - I ordered a second round of Ginger-Ritas (something unusual for me).   Next, we ordered the potato-leek and spinach soup, deviled farm eggs, and bruschetta.  The soup was tasty - but our least favorite of our starters.  The deviled eggs were amazing - you get four different "types" of deviled eggs: classic southern, bacon, pimento cheese, and wasabi.  The bruschetta was also special - it is made with fresh ricotta and chopped, grilled asparagus.   For my entree, I ordered their burger, which is made from organic beef and topped with kimchi, bacon, and tomato relish - all served on an Amy's roll (with a side salad).  The burger was divine - juicy with lots of fresh flavors spilling out.  It was also an excellent serving size.  My friend ordered the mushroom pot-pie - yummmmmmy!   To wrap up the meal, we ordered some of their homemade ice-cream:  mint chip, salted caramel, and espresso-cinnamon.  I would have predicted the espresso-cinnamon to be my favorite, but was blown out of the water by the salted caramel!   Beyond the stellar meal, our server was super friendly, super helpful with recommendations, and never rushed us for a moment.   I look forward to coming back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.273191392; Sentiment_Subjectivity (from 0 to 1): 0.525824176 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 met my lady friends here for a quick dinner before our BYOB's painting class (that's right! It's called "Paint Along" and you should check it out).   We came early and on a Tuesday so we wouldn't get caught up in the typically madness that is Eataly.  I was amazed at how BIG the store was and how much they offered - would love to go back to shop! We dined in the pizza/pasta section.  I ordered a yummy pizza with mozzarella, arugula, and prosciutto.  The pizza was exactly the right amount of food for me, but I can see ordering an appetizer and splitting one of the pizzas.  I was interested in one of the specials but it was mucho expensive so passed.  One of my girlfriends ordered the spinach pasta - this was the best dish on the table!  It was a spinach and ricotta ravioli in a lemon butter sauce with pistachios on top - mmmMmmmMmmmmm!   Besides wanting to go back to shop, I would love to go back and order just cheeses, meats, and wine.   Overall, cool spot - but beware of the crowds!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.219580201; Sentiment_Subjectivity (from 0 to 1): 0.356390977 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There is a reason that you there is always a wait and you should make a reservation if you want to dine at Kefi.  The food is excellent - fresh, well spiced, and just an all around great menu.  Plus, for the quality of food and service you get (not to mention a nice space), it is not expensive... I feel anything comparable in quality would be much more expensive (for my portion of the appetizer, my entree, wine, and tip, I spent just under $40).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35625; Sentiment_Subjectivity (from 0 to 1): 0.65625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Malt House is a great spot to meet up with friends, eat some good snacks, drink some good beer... and all with friendly, attentive service!  I particularly recommend the chicken dippers - although there were lots of other tempting snacks I didn't have the privilege of trying that are likely worth another trip :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.301515152; Sentiment_Subjectivity (from 0 to 1): 0.646212121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their cocktail, "The Secret Garden," deserves 4 stars!  It's a lovely blend Vodka, St. Germain, lime, cucumber, mint, which makes for a refreshing surprise in your mouth.  I can't drink cocktails that taste two strong so I was pleasantly surprised at how easy it was to drink.  Yet, it must have been super strong because one almost put me under - I actually didn't finish it.  Now, I rarely drink, am petite, and hadn't eaten dinner yet... but still... it must have been strong!   The space is beautiful - everything is custom made - bar, seats, everything!  I particularly liked the menus, which are random books that they inserted their menu into.   The food was pretty good - we had the "big eggs, little eggs," which are deviled eggs topped with caviar, a meat/cheese plate, and a grilled cheese.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.274305556; Sentiment_Subjectivity (from 0 to 1): 0.697222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 shame, I have been walking right by Las Ramblas for years now and never knew what I was missing ... pure tapas bliss!!!   Things to order: TORTILLA ESPANOLA - A classic Spanish tapa served in a generous portion CROQUETAS DE JAMON - I heart ham croquettes ENSALADA COSTA BRAVA - This tomato-orange salad is Las Ramblas' best kept secret.  Who knew that tomatoes and oranges when so well together?!?! STUFF ARTICOKES - This dish was a special and oh so tasty!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.186542039; Sentiment_Subjectivity (from 0 to 1): 0.35297619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been dreading writing this review.  I LOVE ilili.  Their food is nothing short of EXCELLENT.  I will definitely return to ilili.   BUT they seriously dropped the ball in every other category during my last visit.   First, the service was out-right bad.  The waitress was inattentive, lied to us about the cost of the wine she recommended (and we asked her directly how much it cost), brought us food we didn't order even after we had re-confirmed our order, recommended we order way more food than we needed, and did not properly handle one of our table-mate's gluten allergy.  Honestly, it was this service is most unacceptable.  ilili is a fine dining restaurant; service matters!  If you read my first, five-star review of ilili, you will see that we had perfect service.   Next, as we were wrapping up our meal, we spotted three roaches under and around our table!  Thank you to Mark, the server who came to the rescue.  We moved to the lounge and were given free shots and one of our bottles of wine was removed from our tab - but honestly - much, much more should have been done!  I understand that we live in NYC so roaches happen.  I do NOT believe it is a reflection of their sanitation or quality of food.  BUT when this sort of thing happens, the manager should know how to handle it well.  We were a party of 12 that spent a lot of money - I will return to ilili because of the quality of the food and my previous experience, but I am afraid that my fellow table-mates who hadn't been there before will likely not return.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.175276807; Sentiment_Subjectivity (from 0 to 1): 0.496474359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Three-stars doesn't seem to fit in with the rest of the reviews so maybe I just had an off experience.  To explain the three stars, there was nothing poor about the experience, but there was also nothing that knocked my socks off. All of the right ingredients for a lovely dinner is in place:  the service was friendly and attentive, my entrée (stuffed pasta with spinach and ricotta) was lovely, and the atmosphere was intimate, romantic, and classy.  The gentleman I was dining with ordered their crab ravioli special - and even though I am not a crab fan - it was very good.  We also split an excellent bottle of red.  Plus, instead of serving olive oil or butter with the bread, the bread was served with a tasty eggplant and veggie tapenade.   My only small disappointment was in the small portions...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195992063; Sentiment_Subjectivity (from 0 to 1): 0.610396825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 truthfully had much, much higher expectations for this place.  The food was good, but nothing really stood out.  We ordered the breaded olives stuffed with lamb and sausage and a pizza.... again, both good, but not out of this world.  We ordered the house wine... again, good, but nothing to write home about.  Lastly, the service was slow and the waiter didn't provide much advice when probed with questions.   I expected more...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.304545455; Sentiment_Subjectivity (from 0 to 1): 0.415151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quality of the food and cute atmosphere well makes up for the slow service.  I ordered the carbonara special - it was really good - but it was obvious that it had been sitting while they prepared the rest of our table's order - would have been better if it were served hot.  One friend ordered the pesto pasta - this may have been the best dish to grace our table!  Another friend ordered the mussels and ate them with much joy (if you read my reviews, you know that I don't do seafood).  We also ordered a tasty fruit crepe and chocolate mousse for the table - yum!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.445238095; Sentiment_Subjectivity (from 0 to 1): 0.546825397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you like risotto... this place will make you very happy!  Plus their breadsticks are yummy :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.75; 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: Brickyard Gastropub exceeded all of my expectations!   I was here with about a dozen other folks for a friend's birthday.  The atmosphere was welcoming and not overly crowded - which made it a chill place to hang out with a large group.  Additionally, the service was friendly, attentive, and quick!   The biggest surprise was the quality and creativity of the food!  I never expect much from bars, but the chipotle pulled-pork sliders, fried pickles, and truffled fries... were mmm, mmm, good!  The pulled-pork slides and truffled fries were particularly special and beaming with flavor.  We ended with their chocolate bread pudding topped with a bacon creme ... you heard me right...topped with a bacon creme!  I have to admit, the bacon flavor wasn't too strong and mostly added a savory/smokiness to the otherwise very sweet dish.   Overall, I'll keep this place in mind next time I need a post-work hang out :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.342491497; Sentiment_Subjectivity (from 0 to 1): 0.510952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service was a little "off" - nothing bad - maybe the best way to describe it was a little disorganized.  Thankfully, the food was not :).  We started with the three dips and they were all so delicious.  I ordered the pasta dish for my entree and it was excellent.  Additionally, we were able to enjoy a warm summer evening in their outdoor seating space!  Overall, solid spot to catch up with friends and eat yummy food :).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.351923077; Sentiment_Subjectivity (from 0 to 1): 0.599358974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food deserves all of the credit for the four-star review! We ordered the following tapas... ensalada de alcachofa - exceptional rough cut potatoes with spicy aioli garbanzos fritos - soooooooo yummy! txipirones en su tinta tortilla española chorizo con chocolate - out of this world! pan con tomate: 3 salsas montadito de crema de habitas con beyos embutidos ibericos: jamón, chorizo palacios, lomo embuchado ... and the following desserts: leche frita - I thought this was really special! torta de santiago The service was overall friendly - but the night ended poorly when my gift card was said to be "blank."  They were polite about it, but I felt like they could have done more to fix the problem right then and there; instead now I have to bother my friend who gave me the card so she can call the restaurant with the card number and date it was purchased to get it re-issued.... The atmosphere was honestly nothing special.  It is a tiny space that had a long wait for a table or seat at the bar (that said, the food truly is wonderful!).  I had made reservations in advance so we got one of the long tables in the back - this was nicer because it was less crowded and less loud than the front room.  Warning, they don't take reservations for parties smaller than 11 more than 5 days in advance (they will make you call back if you try 7 or even 6 days in advance)... and they only make reservations for specific times.  For example, I wanted to make a 7:30 reservation, but they said they only make reservations for 7 or 8:30... we took 8:30 since people were coming from work.... but seriously... I couldn't make a 7:30 reservation? Again - the food was great and when I get my gift card to work, I will go back and hopefully have a better experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.165876116; Sentiment_Subjectivity (from 0 to 1): 0.470424107 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had a marvelous time at Calle Ocho for my birthday drinks last night (Saturday night)!   The space was perfect - we snagged the lounge seats in the back so everyone was able to sit (~15 people).  The music was fun, but wasn't too loud so we could hear each other talk.  Our server, Erin, was terrific - attentive and gave excellent recommendations!   The DRINKS WERE INCREDIBLE!  I strongly recommend the coconut mojito!  Although it was called a mojito - it was served in a martini glass with fresh coconut around the rim!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.435119048; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here because sincerely, I've spent too much during my nights out and I need to start saving for my year-end trips... hence, logically focusing more on the cheap eats. (and obviously going out on fewer dates) I went to this place expecting average food and I'm glad I was really wrong about this place. There is nothing average about the lamp sandwich. It is simply amazing.... I had a mint lime juice which was OK. I thought the mint was going to be crushed or something but all the mint i got was a leaf in the drink. Staff was really nice and quick, the sandwich came out in like 4 minutes. My friend had a chicken sandwich which was really good too. The only thing that bothered me is that the appetizers were a bit overpriced in my opinion. Beware: this place has only greco-turkish style coffee, something relatively hard to find in the city. Its a hit or miss depending on the individual tastes of people. I love that kind of coffee. Reminds me of the time I used to roam the deserts of Northern Africa.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164855072; Sentiment_Subjectivity (from 0 to 1): 0.60615942 [/INST] Not Spam</s>