Datasets:

syannn

/

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: Good atmosphere, friendly staff and an eclectic mix of people.  Great place to have a few drinks with some interesting nibbles.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.435; Sentiment_Subjectivity (from 0 to 1): 0.49 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cocktails friendly bar staff! The food was amazing! Hanger steak  cook perfect med. rare & truffle fries were crispy and flavorful, made from fresh potatoes. My wife had the pork belly special all she said was" Holy Swine".  We been there to the bar before for cocktails our bartender was Alex he was great. We only had the  wings OMG they are the best in the city. He made us wild cocktails with ginger and tequila and my wife had pump up the jam. He made us promise to come back for dinner.  It's our new local. Oh I almost forgot we went on Friday during the snow storm and they have a REAL FIREPLACE!!! Yes; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.426858766; Sentiment_Subjectivity (from 0 to 1): 0.555064935 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It wasn't too promising of a start with three menu items not available despite not being particularly busy. But the martinis were tasty and the appetizers and food excellent as well. We had the Persian wings and a yogurt and cucumber dip for the flatbread. Then seafood stew to finish off. The chef apologized for how long it took, but we had not even noticed. The ambience is not fancy, but the food and drink and service well worth a visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.225; 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: Kitschy-charming interior, stiff drinks, impeccable food. I was particularly moved by my chicken entree. Chicken, well, is chicken - but here, it is much, much more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.08537415; Sentiment_Subjectivity (from 0 to 1): 0.704761905 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great chicken wings: Persian spiced wings! Casual atmosphere in a great Brooklyn neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0875; Sentiment_Subjectivity (from 0 to 1): 0.829166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food and drinks; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; 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: Bijan's you came and you gave me cheap drinks of my vacation from workee!   My wife and I recently stumbled upon Bijan's while waiting to get into our friend's apartment where we were staying on our recent trip to Brooklyn.  We were tired and grumpy, having been locked out with all our luggage.   The cure were half-price medicinal drinks, tasty appies and warm, friendly service.  The drinks were fantastic.  My wife had the one with cayenne pepper and I had the Gin drink.  Both were excellent.  We had the olives and eggplant walnut dip, which was the perfect pre-dinner snack.  I loved the decor, music and vibe - chill, cool, and relaxed. Definitely recommend!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.377083333; Sentiment_Subjectivity (from 0 to 1): 0.654166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: okay. i won't let the fact that i was hired to work here as a server then never got a shift deter me from writing an objective review. it's a really sweet restaurant. in a really tuh-RIFF neighborhood. that said... let's start with their specialty, which are cocktails. and not just any kinda' cocktail, but herb infused, physiologically balanced concoctions. yes! that's right, folks, drinks,that are mixologically created to restore you to a better you. i mean, that's what alcohol intends to do, but their drinks are especially designed to make you feel fan-TAS-tic. with ingredients like "immune building elderflower", "antioxidating pomegranate nectar", "healing mint" and don't even start me on the "libido enhancing maca", there is no way you are leaving this bar in a bad mood. i don't know what the #@!* maca is, but anything libido enhancing is divine in my book. aaaaaaand all for the extremely reasonable price of $10 a drink ~ what?!?! then there's the issue of timing. you'd think a drink with those kinda' ingredients would take awhile to land in front of you seeing as how the bartender has to grab the ingredients from the garden out back, but, nooooooo. they arrive lickety-split. especially if you're at the bar. cheap and quick ~ sounds like my ex! now onto the food. hmm...you know, i'm going to have to get back to you on this. when i was in training, for one day, it all sounded really delish ~ pistachio crusted salmon, lamb burger with sweet potato fries, persian spiced chicken wings ~ but i never got the chance to dine on their FAAAB-u-lous fare so i'm going to have to get back to you on this one. in the meantime, get down to bijans in the heart of boreum hill and find out just how fantastic they are for yourself!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.101039305; Sentiment_Subjectivity (from 0 to 1): 0.506131897 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved the decor and drinks were well priced!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.875; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here one night w/ my boyfriend. Loved it!! The staff is awesomely friendly, the food delicious and the drinks exoctic and yummy that sneak up on you. I loved the music selection and the mixed matched decor. The only thing I didn't like was the Happy Hour ended and they didn't warn us so the bill was more than we expected. Other than that of course I'll keep going back for more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.59375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would highly recommend this restaurant.  The food selection was simple, yet all the items on the menu was flavorful.  It was the perfect setting for a date.  It was quiet and laid back.  For an appetizer we had the persian spiced chicken wings and the white goat cheese flat bread.  We should have order only one, since the portions were so large.  For the entree we had the lime, sumac, rosemary chicken breast and the hanger steak frites.  I must admit the steak was juicy, tender and seasoned to perfection and the chicken breast meal was absolutely delicious.  The reason I rated them a four instead of a five is because of the limited menu.  However, overall a great experience, I am glad I gave this small place a try.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.093571429; Sentiment_Subjectivity (from 0 to 1): 0.535626566 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 feel kinda bad about giving a low score given that I can tell that quite a few people really love this place. The atmosphere was okay. The place itself is a cozy space and has some interesting artwork. The problem was that we were there for dinner and were expecting good food given the high yelp rating. The menu didn't have many items to choose from. My friend got the salmon after asking if the portion was good sized and being assured that it was.  What came was a very small strip of salmon that was very bland. I ordered calamari and it tasted like it may have been breaded and frozen for awhile. The sauce it came with didn't have much taste. Our drinks were good but the food was only mediocre. The music was loud for a restaurant, okay for a bar. Personally, I don't need to hear Pearl Jam blasting while I eat. Maybe come here for drinks if you live in the neighborhood, but if you are hungry go someplace else.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.14546176; Sentiment_Subjectivity (from 0 to 1): 0.575079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We were there for their New Year's Eve party and had a great time. The crowd was fun and lively, the food was yummy and the drinks were delicious.  They brought in some live entertainment -- two DJs and some fire-eaters -- which ensured that we spent most of the night boogying. The fireplace and overall decor make Bijan feel very homey. Larry and Meagan, both of whom tended bar that night, were awesome! We had a blast and can't wait to return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373553719; Sentiment_Subjectivity (from 0 to 1): 0.482231405 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful little bar with good people and atmosphere; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.504166667; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First and last time we try this place.  Pizza crust was hard as a rock (also took too long to arrive). My boyfriend and I ordered the Arugula salads to start with. Our suggestion: DON'T ORDER SALAD FROM THIS PLACE unless you like a bland, tasteless salad. Back to the pizza...The sausage on our Camp Randall pizza smelled disease-ridden and I felt like puking after two bites.  I've not had a worse tasting meal in a long time.  How can they serve stuff like this?   There aren't many restaurant options in this area, which makes Emily an easy pick for the neighborhood..but I would highly recommend making the trek to go somewhere else instead of wasting your time on this self proclaimed loveable pizza.  It was horrific.  I will never go there again. Maybe management needs to re-evaluate the quality of their products that they offer. Sorry Emily ...Thumbs down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.124703704; Sentiment_Subjectivity (from 0 to 1): 0.549148148 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The staff was incredibly nice, the lemonade tasty and the salads crunchy and flavorful. BUT The sauce was not flavorful at all and tasted like canned tomatoes.  The cheese was sparse and the pizza left us feeling unusually thirsty afterwards.  The crust was good, but had a bit of a burnt taste to it. I think with a few kinks ironed out and a stronger sauce recipe this place could be a contender.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love having this place in the neighborhood. Usually I go on a week night and sit at the bar. Everyone working is friendly and accommodating. I'm not generally a fan of fancy pizza, but Emily seems to do it just right. My favorites are the The Wrestler and The Emily. They have a good beer selection and wine on tap. Also, try the s'mores calzone for dessert. Yum!   This place is a keeper :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.322959184; Sentiment_Subjectivity (from 0 to 1): 0.569387755 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really fantastic pizza and even better customer service. Big nod to the vodka sauce pizzas-- they are even better cold a few hours later.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.085714286; Sentiment_Subjectivity (from 0 to 1): 0.442857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, so I gotta repeat the chorus here and state that the food is indeed, superb and some of the best pizza out there. Smoky carrots are top notch, the Emily (a honey and truffle-pistachio mix), the Vodka (a margherita style pizza but with a solid vodka sauce) and the PXG (a salsa verde-sausage pizza) are without a doubt, creative and perfectly crafted wood-fired slices of heaven. However, the service is quite spotty and the sound levels are horrid. It's an incredibly hectic place to eat, let alone carry a conversation in. If you can withstand those bad elements, and the occasionally long wait times for a table, you'll definitely be rewarded with the food which is nothing short of excellent.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.432142857; Sentiment_Subjectivity (from 0 to 1): 0.611904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pizza is delicious, but it's SO loud here, and not particularly friendly/welcoming - I can have a nicer experience across the street, or just get pizza to go if I really want a pie. There are other places to go if I want a great pizza and a nice meal out, I just need to walk a few more blocks. This is the place to go if you're in your 20s and want to impress a date with your "coolness" but otherwise not worth the trouble.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.221969697; Sentiment_Subjectivity (from 0 to 1): 0.487121212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 almost don't want to write this review so I can have Emily all to myself! It's my happy place. Food: The Colony (red sauce, cheese, pepperoni, pickled chili's and honey) is AMAZING. I could easily eat this everyday. Their other pies are good too, but it's hard not to just get the colony every time. My bf and I get a pizza and then something else (app, pasta, etc) every time and it's a perfect meal. There pastas are great too, they frequently change em up so be sure to check them out. Drinks: Great. Love the goodybags... Some kind of amaretto, bourbon and egg white concoction that is just right. Atmosphere: Perfection. On a Friday night expect to hear our neighborhood boy Biggie and the like. Some nights is indie, equally great. Staff: Totally awesome, everyone's really friendly. Overall: I'm happy to go every weekend and unwind with great food, drinks, music and awesome staff. It's a perfect way to end the hectic work week.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.47220696; Sentiment_Subjectivity (from 0 to 1): 0.637484737 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a decent spot for takeout when they're not too busy, in which case they have no problem turning you away. Service is not so great though (short girl with tattoos and piercings comes to mind especially). No one is really that friendly and they will absolutely criticize or reject your requests. One time I asked for sausage to be added to my cavatelli entree (which is an option for their pizza for $3) and was flat out denied because the chef did not approve of the pairing (jeez). It probably goes without saying if you live in the neighborhood, but definitely go to Barboncino or Speedy Romeo's instead of you have the opportunity.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.177548209; Sentiment_Subjectivity (from 0 to 1): 0.521969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 invited my two friends to this place after reading some good reviews and visiting emily's website. The girl at door was really friendly (she actually came to the bar next door to tell us our table is ready) But that was the only good thing. Website describes the pizza as "new style". I don't know, maybe if new style means completely burnt pizza then OK. Maybe it's because the place is so dark that the poor pizza guy can't see what's going on with his  pizza. But seriously as european who's been in italy many times (from north to south) I am completely fine with a little burnt edges that's something that comes naturally and is wanted but this pizza (actually three pizzas) were way too burnt and had color and taste of coal. If it hadn't been burnt I believe it could be good. But at the end the pizza slice from those cheap shitty places at every corner was better experience then this new style pancake.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211445982; Sentiment_Subjectivity (from 0 to 1): 0.450592885 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so much can't wait to bring my parents to meet her; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there for the first time last night and was greeted by Emily herself. Had camp Randall, Angelina, and banana pudding for dessert. I was going to give this place four stars for friendly service, delicious pizza and wine, and a great (though a tad too loud) atmosphere. Then I read the negative reviews complaining about being asked to keep a screaming baby quiet, about not getting prompt take out pizza, and about how Williamsburg has infected Clinton Hill. And I was reminded how awful restaurants are where they don't try to minimize screaming kids, where they prioritize pick ups and deliveries over those customers who are eating in, and the snobbery and poor service of many wburg joints. And am increasingly thankful that Emily was not any of those things. So 5 stars it is!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.131818182; Sentiment_Subjectivity (from 0 to 1): 0.571212121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: EMILY HYLAND, the restaurant OWNER basically asked my family to leave tonight because my one-year old was too loud. We had been there all of 7 minutes. My son screamed ONCE.. she came over to our table and said "please try and keep your children quiet so as not to disturb the adult patrons"....and then went on to say that "they expect children to be seated and quiet when dining at EMILY" Oh OK. I guess she thinks that we're raising wild banshees who purposely disrupt "adult-friendly eating establishments." I should probably sit my 1-year old down (or maybe strap him his highchair so that he REALLY listens) and have a stern talk with him. Thanks, Emily! You've enlightened me. Seriously, what owner speaks to customers this way? I am a life-long resident of Clinton Hill and I've never felt so unwelcome in my own neighborhood. Unfortunately, we didn't get to try the pizza, because naturally after being spoken to that way, we got up to leave. Pretty sure, that's what she wanted. We will never go back. We ended up going to Graziella on Vanderbilt - pizza is great and they are nice, gracious and adult AND family-friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.162433862; Sentiment_Subjectivity (from 0 to 1): 0.512433862 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious thin crust pizza that won't disappoint! You have options of red and  white pizzas plus pink or tomatillo. The service is very good, too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218333333; Sentiment_Subjectivity (from 0 to 1): 0.488333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great pizza cooked in a 1000F wood fired oven for less than a minute. Very authentic and delicious. The Caesar salad was tasty and served with whole romaine and anchovies. Small candlelit dining room makes an excellent date spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.461904762; Sentiment_Subjectivity (from 0 to 1): 0.655952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Emily has hands down the best pizza I've had in ages and ages, and it actually comes pretty close to the best pizza I've ever had. And this comes from a girl who ones went to Rome to eat nine pizzas in seven days. Beautiful ingredients on a thin, crisp and slightly charred crust - what more could one ask for? The Clinton Hill location is just lovely, so are the friendly staff - although it annoyed me a little they seemed awed that I ate a pizza by myself. What? Doesn't everyone eat their own pizza? Carbs, come on in! And oh, try the lavender lemonade - a great thirst quencher.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310329861; Sentiment_Subjectivity (from 0 to 1): 0.576388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Pizza and Burgers here are very delicious. You should try them. The Specials are especially great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; 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: Emily, both the restaurant and the owner, is AMAZING. Hands-down, best pizza in Brooklyn. The food blows me away every time. Get there early, seats are in high demand but very much worth the wait. If you don't have time, order it to go. And please, try the Q.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.432; Sentiment_Subjectivity (from 0 to 1): 0.428 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes! My boyfriend and I went to Emily last night and it was fantastic. We got the Colony and the Lady Pizza Girl at the recommendation of other Yelpers, and they were both tasty and interesting. I had never had honey on pizza before, and it's definitely something I'll be trying at home in the near future! The two pizzas were enough for our meal and we still had some left over for lunch today. The service was wonderful, and a woman named Emily (maybe the owner?) checked in on us a couple of times to see that we were doing alright. The decor was nice, and the selection of music was also fantastic. The place is a little pricey, but it was worth it for the awesome pizza and the cozy atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.23671875; Sentiment_Subjectivity (from 0 to 1): 0.538541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Umm...yes, yes, yes and more yes. We first ran into the owners of Emily when they co-opened Brooklyn Central in Park Slope. A few months of weekly (and sometimes daily) attendance followed, but we fell off the BC wagon during Hurricane Sandy (work was a bit hectic). Much to our sadness, when we returned, we discovered the owners had parted ways, and while we loved the food, much of what we enjoyed about BC was the atmosphere created by Emily as manager/hostess. Happily, the party's just moved a little uptown! Emily continues to serve most excellent pizza, and the cocktails aren't too shabby either! After our triumphal reunion with this fabulous food, we vowed to bring a group of friends with us...and we did! I'm happy to say they were all very pleased, too, and we are planning more trips to Emily. I could go through the list of pizzas and tell you about each one, but what a waste. If you've read this far, you hardly need to hear me go on even more. What I will say is that my partner and I have had, between us, 4 pizzas and our friends had 3 others, and no one said anything beyond variations of "yum" or "I want more."; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33063447; Sentiment_Subjectivity (from 0 to 1): 0.551136364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Growing up in Brooklyn, you learn to know your pizza. This place does not mess around, and also offers other options to buffer your pie. I'm mightily impressed. You should eat here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.265625; Sentiment_Subjectivity (from 0 to 1): 0.3875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 seriously might be the best pizza I've ever had in my life. The backstory of the restaurant is so cute with the husband as the chef and Emily as the greeter. The wine selection and cocktails were well thought out and the north maple pizza was incredible. I don't know who would think to include bacon, pecans and maple syrup on a pizza but it's freaking delicious. Definitely my new go to stop!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.539520202; Sentiment_Subjectivity (from 0 to 1): 0.72020202 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 live in the neighborhood and probably go to Emily once a week. We went with a bunch of friends this Sat night for my bday and had an amazing time! Emily and the entire staff are so friendly!  We ordered about everything off the menu and everything was great! So happy to have a restaurant like Emily in the neighborhood!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.559185606; 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: I am for health reasons a gluten free vegetarian with limited use of eggs and dairy.  I always find something to eat when I join family and friends at food establishments, but my meal is not always exciting or delicious.  I was extremely pleased and excited when the owners and staff at Emily made my eating experience as wonderful as my family's.  They served me amazing dishes from appetizers through dessert.  The dishes my family had looked delicious and the comments that were passed around the table reinforced that fact.  But, I did not feel like I missed anything, because my food was so terrific in flavor, texture and ingredients used!! Often when I go out to eat, the restaurant staff look at me-like why are you here, you can't eat anything.  At Emily, I felt extremely welcome and everyone was eager to go out of their way to make my experience as wonderful as everyone else.  I will definitely go back there!!  The place feels like home with a classy atmosphere and the food is terrific even for people on special diets!!  You can't say that about many restaurants!!  And, from the laughter and happy faces I saw throughout the evening, I gathered everyone else there was having the same amazing experience my family and I were having!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.507142857; Sentiment_Subjectivity (from 0 to 1): 0.764464286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pizza is very good and the staff is helpful and friendly but take ear plugs or buy stock in hearing aid companies.  For me the food is not worth shouting your way through dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.378333333; Sentiment_Subjectivity (from 0 to 1): 0.46 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is awesome, can't believe this was tucked away on Fulton street and I never knew about it till now! We got the Angelina (white pizza with kale, ricotta and lemon) and some other white pizza with ricotta,  mozzarella and sausage. The crust was perfectly thin and the toppings were refreshingly creative without being too much. Drinks were a little pricey but the wine selection is decent and the cocktails are totally worth the extra couple bucks. I got the Leaning Fields- a homemade lavender lemonade spiked with vodka- and it was every bit as amazing as it sounds. We got there around 5:30pm on a Saturday and it was mostly families with little kids, but I have a feeling the scene is much different around 8 or 9, with the fully stocked bar I saw in back. Didn't notice any outdoor seating but maybe it's too early in the season? Overall great experience, I'll definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.163333333; Sentiment_Subjectivity (from 0 to 1): 0.417083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Another killer time at Emily. A wonderful busy night for them, so I took a seat at the bar. Brussels sprouts were awesome, a big ole plate that wasn't overwhelmed by the tasty fish sauce (nicely balanced by the apples).  Spaghetti with the poached egg was awesome. Great spicy heat from the 'nduja sausage, while the egg coats the pasta in a fabulous sauce. Music choice was AMAZING. The party in my mouth was accompanied by the music in my ears. Well done again Emily.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.611111111; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thank god we got in when we did. There was but one table for two available at 6PM on a Friday evening. When you've got about 10 tables and a storefront the width of a taxicab, space for dining is at a premium. Get a reservation if you've got more than 2. Pizzas about the size of a car steering wheel, prices range from $14-19, and absolutely worth the price of admission. I was under a lot of pressure too. The buddy I was with doesn't have the New York experience that I do, and absolutely insisted that we get GOOD New York pizza for dinner. Emily saved my reputation. Every single pizza is thoughtfully crafted. The "Colony," which is indeed named after the one and only Colony Grill in Stamford, was the star of the show. Sauce, mozzarella, pepperoni, jalapenos, pickled chili sauce, and a honey drizzle finish. *makes "mind blown" gesture* What the WHAT? All of it on daily fresh made dough, fired super hot, a little of that good New Haven-style burnt edge, served with a smile. The RM3 was also an excellent pie, which you might call their "meat lover's." If you're in the Barclay's Center area, it's a 10 minute walk. You must go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.271674784; Sentiment_Subjectivity (from 0 to 1): 0.494729437 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 addition to Fulton Street, great food, friendly staff, and a few doors down from Hanson Dry which is a real plus. First time there and we will add it to our list of local faves. You have to be really good at pizza to make "the list" in Brooklyn and this is great pizza.Only complaint is one I find most common lately, who wrote the loud music rule?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.200173611; Sentiment_Subjectivity (from 0 to 1): 0.473263889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food, great service, and the owner came out to ask how out night was. Totally coming back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; 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: My date and I had an amazing time here.  The staff is incredibly friendly and helpful.  Something I really appreciate is the quick "we'll be right with you" when its extremely busy. Almost every table was filled and they were still attentive to us. I thought all the food was pretty much perfect.  We had the crispy pig ears.  Ive never had pig ears with an acidic vinagrette over greens and it worked amazingly well. I was  a little worried about ordering such a classic dish as the Bucatini all'amatriciana because well I've had it before.  But it was  perfect (tho maybe just a dash too salty).  What really stood out was the quality of the pasta.  It was so toothsome and rich.  The sauce was so savory that I was stopping to close my eyes and take in the flavors of the acidic tomato, funky guanciale and salty nuttiness of the pecorino. Lastly we had the Emily pie.  The crust was very flavorful with the perfect amount of chew.  The combination of pistachio, honey, taleggio and truffles was amazing.  The intense aroma of truffle fills your nose as you bite into a rich and sweet pie.  A real experience. Lastly I just want to suggest a delicious wine that goes great with many of these dishes.  A sparkling red, Gragnano Penisola Sorrentina.  Its complex and dry with a very light body. I'll be back soon.  Also if you've never had 'nduja before; get the pasta with it. I'm sure its great. I'm getting it next time. EDIT: I just read the story below about Emily and the person from London.  That sounds crazy and I'm sorry for that person's terrible experience.  I just wanted to say that Emily waited on us and she was incredibly friendly and accommodating.  So I dunno, sometimes people have bad nights?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24646542; Sentiment_Subjectivity (from 0 to 1): 0.61074452 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is wonderful!! Ok let's get the part about the long wait out of the way. We showed up at 7:30 on a Saturday, we were a party of four. Emily was extremely kind as she explained that it looked like it might be a 2 hour wait. She suggested we head next door for drinks which we did and they were great! I popped in an hour after we put our name on the list just to see if anything changed, again Emily was so nice and let me know that it wouldn't be as long as she thought. A few minutes later she called and we had a table. the total wait was about an hour and 20 minutes. Normally this kind of thing could be annoying but the way Emily handles the room is great!!!  When we sat down the waitress was great and Emily kept checking in on us. The wine selection was great and fairly priced. We specifically went for pizza so we decided to spilt three different pies. The pizza combos were interesting and thoughtful but not overly complex. The Dough was great, the sauce was amazing and the cheeses!! wow the cheeses!!  To top the experience off Emily was kind enough to give us a ice cream sandwich because we waited a while for our table. Needless to say we will all be going back. The only problem with this restaurant is it is not in my neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.299631076; Sentiment_Subjectivity (from 0 to 1): 0.632465278 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Giving the 4 stars simply because it's a pizza place and the pizza is great. Awesome Neapolitan style pita like crust (which I'm partial too). Other than than, Brussels sprouts had good flavor but far too salty! Mixed cocktails we just ok. I found Emily herself to be extremely rude. Not really surprised about the story where the guy almost got arrested. She was super cold and defensive every time we asked a question. I'll probably still go back but only for the pizza.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152222222; Sentiment_Subjectivity (from 0 to 1): 0.619920635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: get the fried brussel sprouts. get the emily pizza. emily, the owner is lovely, as is her husband, matt, the chef and pizza guy. cozy atmosphere. reasonably priced delicious wine. and a calzone stuffed with marshmallow and chocolate. there is nothing else you could possible want. except maybe an extra stomach. emily is da bomb.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was perfect. The wine was perfect. The atmosphere was perfect. The staff was perfect. Couldn't have asked for a better dining experience. My friends and I tried some salads, cheeses, pizza and pasta. Everything we had was amazing and did not disappoint. The Emily pie is a must if you go here! My only regret is I didn't leave room to try the dessert. But that's okay because I will definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.638888889; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for Sunday brunch. Everything we tasted was delicious. We ordered the kale salad which was simple but tasty. The Emily pizza was the best. Followed by the Q. Would definitely come back for dinner to try the other items not offered for brunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.42202381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very spoiled with Pizza. Really, I have tried Lucali's, Di Fara's, John's at Bleekers, etc. Normally, I try the Margarita when I'm at a new place. It's just simple and if a place makes a good one, then I will try a different pie later. My wife and I was in a pizza mood and we heard of this Italian place about 10 minutes walk from us in Clinton Hill. We decided that we would have a glass of Wine and try something. I have to say we were blown away! First, the service was excellent! Very good, great atmosphere, nice decor and definitely friendly! It makes me feel like I am eating a nice meal with family (which I was, of course)! We saw some of the food being served and we though, ok, maybe we should try one of the specialty pizzas? When it comes to the best specialty pizza I have tried so far, well...... the Emily at Emily really did it for me! It put this Italian place on the map! The Emily was such a good white pizza with a combination of really nice cheese and other honey, etc. that we could not stop eating it! We had to try another one, the Colony. It was really good too. BUT, The Emily is currently my favorite of all specialty pizzas so far! We has 2 glasses of Cabernet. The wine was awesome! Just perfect. Just before the pizza, we tried the Kale salad. It was really enjoyable! Tasty with dried cherries, a really excellent combination! Anyway, just those dishes made this our Favorite Italian Pizza place to date!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.400246212; Sentiment_Subjectivity (from 0 to 1): 0.577778379 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a great dinner here- fantastic pizza, the s'more pizza for dessert was a bit much but made a great late night snack later on. The service was excellent and reasonably priced. With service and food like this it is sure to be a success, I look forward to going back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.515740741 [/INST] Not Spam</s>