Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ambiance was great - blessedly quiet - but the food, especially the entrees, were sub-par. The lasagna was not quite right (cheesy and soupy) and the chivito was chaos, and like not even controlled chaos. Maybe we went on an off night?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.117142857; Sentiment_Subjectivity (from 0 to 1): 0.723809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 used to be called Kokie's and you could wander in and buy cocaine from a guy sitting behind a door in what looked like broom closet. Now patrons play Jenga.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.4; 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: Consistently solid food service and drinks. Great decor, super cool vibe and really reasonable. Get the enchiladas they never disappoint! I'm here a few times a year whenever the craving hits...; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.255555556; Sentiment_Subjectivity (from 0 to 1): 0.477777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the 2124 reviews before me explains it ALL. Hahaha! It's delicious.. I had a pact with my dad that I'd never eat cart food. I broke it because of the Halal Guys. I crave it every other week. So, the sum up: - $6 Chicken and Rice includes chicken, rice, lettuce, and pita! (optional white sauce &hot sauce) Sometimes, if you're unlucky, you'll get dried up portions. But it's highly unlikely after 7:30PM because by then, it gets pretty busy and it's hard to go wrong. The only thing I don't quite understand is the Halal Guys' afternoon shifts.. Apparently, the brother of 7:30PM 53rd&6th Halal Cart is running it but.. I'm not too sure. Chicken-- 4.5: It's shredded nicely. It would be perfect if it was evenly shredded though. Haha Rice-- 4.5: It's sort of tasteless BUT it goes perfectly with the whole dish. Lettuce-- 5: Fresh all the time (at least the ones that they gave me) Pita-- 5: I LOVE THE PITA. It's perfect with the white sauce and red sauce. White Sauce-- 5:Heavenly! It's probably really unhealthy BUT it's delicious and that's what my insides care about. It's... really different from other Halal carts. It tastes less bitter and is perfect for my taste buds. However, if you leave the white sauce out for a while, it becomes transparent and funky looking. So consume it when it's in its normal color. Haha Red Sauce-- 5:This will make you suffer from heat if you overdose. Their hot sauce is REALLY... spicy and hot. They claim that they're "different." I agree, they're REALLY different compared to other Halal carts.. IN A GOOD WAY! Overall, my several experiences at this area's Halal cart WAS GRRRREAT!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.114833333; Sentiment_Subjectivity (from 0 to 1): 0.558444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ippudo was better. The ramen at totto wasn't anything amazing; definitely overhyped. The 1+ hour wait definitely set the standards higher, though. The place is very small - for quicker service, come by yourself or a +1.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.170833333; Sentiment_Subjectivity (from 0 to 1): 0.57 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 their food twice in a vegan pop-up shop at pinebox rock shop in Bushwick. I had the feast, which was a sample of everything. The food was really really good. I've never had Ethiopian food before the colors and flavors were amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.65; 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: Very cute vibrant place, just a little on the loud side.  The hummus, lebaneh, and babaganoush are delish, and I usually don't even like babaganoush. We loved the avacado salad and the seared tuna dish. For desert, get the Halva....amazing!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.225694444; Sentiment_Subjectivity (from 0 to 1): 0.613888889 [/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: Love the decor, the bar is lovely, great cocktails.  The staff was friendly all around, love the bartenders. The food is hit or miss though.  The chicken liver pot is delicious, though I wish they would give you more toasts.  They need to get their timing on food up to scratch, both my scallops and Hubby's burger came out lukewarm.  The scallops were chewy and overcooked.   The desserts were inventive.  Strawberry shortcake was fresh, but the smoky S'mores was more interesting in theory than execution.  The smoke coming out of the jar was too overwhelming and just made you feel like you were sitting too close to a BBQ grill at a picnic.  After the smoke dissipated, the dessert was goopy and good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.469642857; Sentiment_Subjectivity (from 0 to 1): 0.696428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 4 stars is strictly for their appetziers, because I really think that they are the stars, and not the ramen itself. There was a short wait of about 35 minutes on a Sunday afternoon, definitely not that bad. We always get the Hirata buns but this time I also opted for the Philly Cheesesteak Spring Rolls.  Um, seriously, WHY HASN'T ANYONE ELSE THOUGHT OF THIS?!  It's so friggin ingenious!  Cheese + beef + fried spring roll wrapper = HEAVENLY!  Not too greasy, and not too meaty where you get sick of the taste.  SO GOOD. The ramen was just normal... to be honest, I think their broth is just okay, definitely not worth the obscene lines this place gets at times.  Also, what's up with all the non-Japanese workers... it just adds to the not too authentic feel of the whole place you already get with its trendy vibe and decor.  If it was not for the pork belly, I'd probably never want to come back here.  And yes, I understand that I've definitely strayed from my opinion a year ago.  What can I say, I guess my tastebuds have matured! As a side note, if you are already finished with your meal, pay your bill and get the f out.  I saw one couple that was sitting across from me, just sitting there with their half empty soup bowls, PLAYING WITH THEIR PHONES.  When the server came by to ask if they were still working, the guy quickly replied, "Yes" and picked up his spoon to drink some more soup.  Uh, dude & dudette, did you not notice the obscene lines outdoors?  Have some courtesy.  Mind you, this couple also took their time drinking their after dinner tea... the girl seriously finished every drop of her tea before they FINALLY got up and started to slowly put their jacket on.  JERKS.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.090984623; Sentiment_Subjectivity (from 0 to 1): 0.550992063 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: wine selection is very disappointing but staff is great nonetheless.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.01; Sentiment_Subjectivity (from 0 to 1): 0.83 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bright, friendly local place. Some of the food is 5-star simple Mexican, some less so. My veges were way too salty and the American mayonnaise in the cimeta spoiled the 'Mexican' flavor.  Huge portions and even the not-so-good stuff is tasty and well priced. Yummy aqua frescas. No liquor license. Often too busy to be fast.  I enjoyed the toddlers running around, but you can take-out and wander along the river if kids bother you.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.175694444; Sentiment_Subjectivity (from 0 to 1): 0.351984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Pump with a new name.  I used to love The Pump whenever I'd come to town but that closed down and turned into something completely different.  I've been searching for healthy, clean options and now I've found it.  So excited to know about this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.202809343; Sentiment_Subjectivity (from 0 to 1): 0.499179293 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 God... End of review. It really could have ended right there, but I'll bring myself to put a few words together. First of all, this is the biggest sandwich i've ever eaten. You will absolutely be getting your money's worth at this place. The prices are a bit high, but again, the side of the sandwich, the amount of meat and the quality of the bread all make it worth it. I had the Firenze  sandwich, which is smoked chicken breast, provolone cheese, sweet roasted peppers and arugula. You can also choose what ind of bread you want, I went with ciabatta. Perfection. Its a bit intimidating when you actually see the size of the thing, but once you start eating it, you certainly wont be able to stop until your belly tells you so. It's about as perfect as you can get. Park Italian Gourmet in midtown is my favorite sandwich place in the city, but this place is now tied for first. You'd never expect a gem like this to be buried in fidi. The only pain in the butt about this place is it's cash only.. If you're reading this review, you definitely need to hit this place up. Well worth the trip downtown!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2175; Sentiment_Subjectivity (from 0 to 1): 0.510854978 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came in for the lunch special and the waiter ignored me when no one was even in the restaurant. Then, he was busy talking to the other employees and finally came to my table after being so kind. He then took my order, and sat in the back yapping away and not even checking on my food after 25 minutes! He then proceeded to slam my food on my table, when I asked for more sauce, he said, "it is already in the dish." Instead of being a good waiter, he argues with me,so he can avoid the ten step voyage back to the kitchen. While I am eating, the whole staff is having a loud and obnoxious conversation and not once did he check up or fill my water. Not until, the bill was handed, did he say,"Oh, ten dollar minimum. " I told him to charge it for the price. He then said, I will charge a three dollar tip. hahahah...wow, some nerve. A tip for his lazy and unprofessional ass.. I told him to charge me for the price of the meal and no tip, because it was horrible service. He gave me the check and I signed it with NO TIP. Dinner time might be more pleasant, but lunch time is atrocious. DO NOT GO THERE FOR LUNCH!!! RUDE and NO CLASS!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.054761905; Sentiment_Subjectivity (from 0 to 1): 0.553320802 [/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: Great family style Italian food! The downstairs section is great for big groups and celebrations. The staff is so friendly and the atmosphere is simply so warm, like you are visiting a friend's parents' house.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.429166667; 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: Always great food, great service and long lines.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.516666667; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lemme tell you about Totto's. One time I went here to get a late dinner and the line was super long and I didn't want to wait for food, so I left. The next time I went to Totto's, I went a little earlier and I didn't have to wait that long. I put my name on the list and in 10 minutes tops, my friends and me were in. Thanks to the recommendation of Haku behind the counter, I got the spicy ramen. I was scared it was going to be scorching, but it wasn't THAT spicy, but then again I can handle my spice pretty well. Next time, I'm getting the super spicy ramen. Awww yeah! Haku was quite a character and he was cracking jokes as he served us. I'm definitely going to be coming here a lot but before those crazy hours where there's hour long waits :(. But then again the ramen is really good, so who knows? I might actually be willing to wait for an hour for a bowl. That says a lot about this place especially since I'm impatient when it comes to my food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.00094697; Sentiment_Subjectivity (from 0 to 1): 0.571969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 there's one thing about hipsters, they know good food.  This place is it.  It's on a great corner with some outdoor benches while you wait.  My party had been there a little while so we were given some coffee.  When we put our name down I didn't get a good look inside and was a littler irritated with how long we had to wait, but it was Sunday and afternoon.  Finally when ushered to our table we realized just how tiny Cornerstone is and immediately were happy we found it and knew the food would be good.  I had a breakfast sandwich that tasted so fresh I swear I was transported to a farm in Maine eating at a big wooden kichen table listening to the chicken clucking outside and looking at the vegetable garden out the window that all went into making my sandwich.   The crepe my friend had was pretty standard. Overall nice prices, truely excellent clean fresh food.  Nice waitstaff.  Cool location.  Great for hipster watching.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.290944444; Sentiment_Subjectivity (from 0 to 1): 0.577555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ovest is a happy place with what I find to be one of the best deals in the city : Aperitivo! Think complimentary, delicious finger food for 3 hours (from 5 to 8 weekdays) to accompany expertly crafted cocktails by the nicest possible bartenders. New York City is decidedly the capital of mixology but drinks from one bar to another are usually variations on a same theme, depending on which liquor or mixer is trendy at that T moment (think overpresent St Germain or Fernet Branca). Ovest goes further and you will find on its cocktail menu basil, thyme, jalapeno, bell pepper.. You name it!   Whiskey and wine selections are pretty awesome too. Ovest might be a little of the beaten track but definitely worth the hike, I warmly recommend it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.369924242; Sentiment_Subjectivity (from 0 to 1): 0.61530303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 personal favorite for after a Broadway show.  Although the place is inevitably very crowded and there is always a waiting line at that time, we prefer sitting at the counter where we can almost always get 2 seats.  The best part of this experience is the extroverted, funny and efficient servers/bartenders.  They always remember our names which I find remarkable.  When seated, everyone is offered cole slaw, pickled beets and  sour pickles.  There is an extensive deli-style menu and  they specialize in really good sandwiches. These aren't the absurdly monstrous things that are offered at the more famous 7th Avenue delis that no one could possibly finish.  I usually get something on the menu called "Something Different" which is an outstanding, perfectly grilled  steak  sandwich which comes with fries.  They also offer unlimited refills on sodas which is a rarity in New York.  Cocktails are surprisingly reasonable for this neighborhood too.   Yes it's touristy and crowded with theatre goers, but the upbeat and engaging staff,  good food,  great cheesecake  and bright and cheerful ambience make for a great post theatre experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.365454545; Sentiment_Subjectivity (from 0 to 1): 0.662515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute brunch spot! I was able to make a reservation on OpenTable, and then make it bigger, and bigger, and bigger, without a problem. When I walked in and saw how little it was, I was surprised. Our table was all set up and ready to go. Service was perfect! Our waitress was kind and always there. I thought their brunch menu with coffee and mimosa included was a good deal. Everyone really liked their dishes. Mimosa refills are only $5, a good deal in Manhattan. I'd definitely come back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.30234375; Sentiment_Subjectivity (from 0 to 1): 0.6515625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the best experience here. the chef was very friendly and gave my friend and me a complimentary dish so we got to try both the truffle burgers and the pork sliders. I recommend both!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.620833333; 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: Have you been to a restaurant that serves wonderful food, yet the decor is so stuffy that it turns the food into mediocrity? Well! ABC Kitchen is definitely not one of those   restaurants! The food here is good on its own, but that atmosphere just seems to make everything taste even better. The crab toast was delish! Service was great too.. Our server took the initiative and past on our curiosity about one of the dishes on the menu to the chef (we did not order the dish b/c we already ordered a bunch of other things on the menu), and they brought us the dish anyway with compliments of the chef! Needless to say, I'd be happy to go back to ABC Kitchen again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.280729167; Sentiment_Subjectivity (from 0 to 1): 0.597916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Favorite Jean George restaurant so far. Enjoyed the "California-style" cuisine... Food that was fresh, seasonal and delicious. Service was excellent and the atmosphere was comfortable, not stuffy. Everything we ordered was outstanding. I highly recommend ordering the warm donuts with chocolate for dessert (got mine sans bacon but that is your call).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.506; Sentiment_Subjectivity (from 0 to 1): 0.8015 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Visited for dinner on a Saturday night without reservations but received a table within 15 minutes near the front area. I had white sangria (deeeeelicious!!) and the Matador combo. Both delicious options that left me stuffed and happy. As others have mentioned, the combination of great tasting crispy peruvian chicken, fluffy rice and beans, plantains all seasoned to perfection was divine. The restaurant has a nice vibe, good music, good drinks and really cool decor towards the back of the restaurant. Great choice for a laid back dinner with friends!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33125; Sentiment_Subjectivity (from 0 to 1): 0.521875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What an amazing little shop.  It's hard to believe this little morsef of sweet, chewy goodness came all the way across the Atlantic for 1 goal in mind.  To end up in my belly. I love all the exquisitely decorated boxes.  I love the display of macarons behind the glass.  I love the way this store... how to describe it... "brings out the little girl in me?"   If you're visiting New York and are returning to whatever city you came from (that is devoid of Laduree), go ahead and pick up a box for someone.  I'm at least 92% sure they'll like it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.162146465; Sentiment_Subjectivity (from 0 to 1): 0.602340067 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 coming to Margon nearly 20 years--it's located a few doors down from where my high school used to be. At the time, we all called it "Cubano." I didn't know its real name until I found myself back there when I worked a couple of blocks away, years later. My favorite thing to eat there then was the breakfast special: $1 for 2 eggs, potatoes and toast. Now, my favorite treats t are 1) the cafe con leche: among the most robust, flavorful cups of coffee in the city 2) the octopus salad and 3) pretty much everything else. It's not "fine" fare, but at a time when you can't count on much it's nice to know that some haimish NYC standbys just get better over time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.206453373; Sentiment_Subjectivity (from 0 to 1): 0.493769841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For some reason it's always raining when I eat here. Warm, cozy atmosphere is inviting during inclement weather.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.675 [/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: Great place! Extra points for making a vegetarian version of the curry for roti canai. If you are feeling adventurous, try the steamed tilapia with curry (it comes on a sizzling platter) and noodles with salted fish. A Malaysian friend claims this place is the most authentic Malaysian place in town...I couldn't agree more!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.520833333; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 atmosphere and the waitress was adorable!!! Totally recommend going!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525520833; Sentiment_Subjectivity (from 0 to 1): 0.883333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 saw them making the squares and they layer paper thin slices of cheese on top of the dough before lading on a generous amount of sauce on top.  This actually allows the dough to cook and become crusty throughout.  The pie gets sprinkled with olive oil and a dusting of pecorino; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.4875 [/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: Maialino deleted my previous review, stating that they treat minority customers poorly. Hey Maialino, enjoy reading this and paying yelp to remove this review again. Went here last week.  worst service ever. terribly rude.  white supremacy extreme.  Do not be fooled by the average of 4 stars!!! If there is one think i hate more than Maialino, is liars.  Maialino, you are a liar! This place is completely overrated, does not deserve 4 stars, deserves -100 stars.  Seriously over priced.  not welcoming.  Very rude. Maialino doesn't even make fresh made pasta. Sincerely, Your #1 Hater; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.117685547; Sentiment_Subjectivity (from 0 to 1): 0.53625 [/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: Nothing beats a scruff request for your order from the owners/workers of Prosperity Dumpling. I love the gruffness of this place. No frills, all business. Just get your dumplings, stuff them down your throat, and get out. In fact, just take your dumplings and leave. Their friend dumplings are best, but I have only talked them into given me vegetarian fried dumplings once... usually they make me get boiled! Still tasty. Just give them a few minutes to cool down or else you'll walk away with a burned mouth. Sesame pancakes are also solid. The entire place is so cheap and delicious. Ok. Now I'm hungry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.202199074; Sentiment_Subjectivity (from 0 to 1): 0.491898148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really surprised that this restaurant has such a high rating.  I think that based on my experience with theater district options, it's definitely on the better side but compared to similar restaurants in Manhattan, the quality of the food falls short. I did like the atmosphere...cozy but spacious enough to bring your out of town family.  Prices decent and portions on the larger side.  With the exception of the delightful bread basket and olive mixture, the food was mediocre.  BF had the pasta trio consisting of fettucine with peas and prosciutto, penne with marinara sauce and pumpkin ravioli with pumpkin seeds.  The pumpkin ravioli was definitely the star with the other two pasta selections tasting much less distinct.   I don't think that there was enough sauce or flavoring.   I had a fish dish that was also quite bland. The vast selections of bottled wine for $25 is nice...and you are almost forced into it economically when a single glass of wine averages $12 there. Still, I thought it was a nice place and definitely good option for out of towners.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.104037698; Sentiment_Subjectivity (from 0 to 1): 0.574831349 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To sum up our experience the food was good and service was friendly, but preoccupied. There was no wow-factor to bring us back. Hits: Mac n Cheese and braised short ribs with gnocchi, horseradish and bacon. . Misses: Wine list. Wine itself was served warm. Crostini special was disgusting. Ingredients didn't taste fresh.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.166517857; Sentiment_Subjectivity (from 0 to 1): 0.508928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my new go-to in Manhattan when I'm looking for a quiet, Italian restaurant that won't make me sick. (For those of you who haven't read my other listings, I'm highly gluten intolerant.) I give points to this place for not only having gluten-free pasta, but: 1) for having gluten-free bread 2) for knowing what gluten is 3) for having a dessert menu that is 80% gluten free (and full of some good stuff) 4) for having gluten-free beer 5) for having awesome service. For you fortunate wheat-consuming folks, the gluten-full menu is also great - so rumor has it...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.239005994; Sentiment_Subjectivity (from 0 to 1): 0.612309357 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 it! I'm quite a fan of Italian food and it didn't disappoint. The place is authentic and  has a great atmosphere. The ricotta ravioli were as delicious as the chocolate panacotta we had for dessert. The owner seemed to care a lot about our opinion. The barman was really nice too as he offered me a glass of wine when I didn't l like what I had ordered. Overall, one of my favourite Bedford restaurants.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.539285714; Sentiment_Subjectivity (from 0 to 1): 0.614285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Service was very nice and attentive (if not overly so...) Very knowledgable about the wine selection, ready and willing to advise and provide tastes. Food wise the Monkey bread was a winner. Also the Rohan duck was some of the best I've ever had: cooked on the rarer side, meaty and flavorful, with lovely crispy skin. If you like duck it is one to try. Was a little disappointed by the market vegetables honestly as I had heard they were one of the chef's signature dishes; maybe it was me but I didn't quite get the hype. Overall a lovely experience; would love to go back and try some more (especially the pasta dishes!).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.285694444; Sentiment_Subjectivity (from 0 to 1): 0.577777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 don't know. As a native "upstater" or "western new yorker", I grew with the Dino being a blues and biker bar that happened to serve BBQ because all those damn bikers needed food before they rode home.  So it's never been ACTUALLY KNOWN FOR BBQ.  So before you BBQ enthusiasts get your panties in a twist...YES, we agree.  We don't "do" BBQ. It's a kitchy chain with some fairly good smoked ribs and amamamamzzeeeballs mac and cheese.  Decent draft list, crappy, sweet cocktail list.  Blah blah blah boring you get the point. Try Fletchers! Fort Reno! Yes!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0504329; Sentiment_Subjectivity (from 0 to 1): 0.495887446 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Maybe I can't write a "true" review for this place because I'm a vegetarian! But all you vegetarians need to know that they can replace any meat patty on any burger with a portobello mushroom. They also have another option (which I ordered) that was a vegetarian sloppy joe, served open faced with lentils and jalepenos and such. It was okay. It really needed some avocado. Order the sweet potato fries! They are very unique because they come covered in brown sugar, yum. I only wished the fries came with the burgers because when they serve you a burger, that's it on the plate! Very simplistic. Maybe that's how burger enthusiasts like it.... Can't really speak for the service because I was part of a party of 16. As a vegetarian, I'm not really sure if I would come back here but I just wanted to say that there are definitely options for vegans or vegetarians who end up eating here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.067559524; Sentiment_Subjectivity (from 0 to 1): 0.570634921 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 real must-try. Be prepared to pay $50+ a head for a dinner, which will be well worth it: the food will be delectable, and the experience will be a delight, especially if you sit along the counter at the cooking station. Basically, the front of this restaurant is a large, u-shaped counter with seating around two grills, behind which 2 men will sit cross-legged, transferring fresh food using long wooden paddles to prepare and cook on the grill. It's just enough activity to have a lively dinner without being obtrusive, so you can still have good conversations with your dining partner(s). We always make sure to order from the grill the miso-marinated cod as well as the harame skirt steak. The tsukune (salt, no teriyaki, please) is also great, and the new zealand lamb is good. The real stars of the show, however, are the kitchen items. The aspara-bou (sp?), agedashi tofu, and braised pork belly are must haves. In fact, do yourself a favor and order yourself 1 of each of the 6 or 7 items on that list of kitchen items. In summary, service is fantastic, the food is so delightful and delicious, and will more often than not melt in your mouth quicker than you wish it would. But that's okay, because you can always just order some more.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.347136954; Sentiment_Subjectivity (from 0 to 1): 0.564636626 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Mango Salad, I knew you would be delicious, but I did not know you would come with HALF A CHICKEN! For only $8.50, how could I ever resist you? Fondly, Alexis; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.020833333; Sentiment_Subjectivity (from 0 to 1): 0.779166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place for 2 reasons: 1) good food at a good price and 2) a decent clean quiet place to sit upstairs. I had lunch with a friend here and we needed to chat business and this was the perfect place to meet. I had a delicious burger and she had a custom salad and we could go upstairs and enjoy our food and converse without being rushed out or having to deal with sanitation issues. I'll be going back ASAP!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.503333333; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Took us awhile to find and husband was getting frustrated. Once we got there we had second thoughts -- and just decided to stick it out. The food was delish -- had bánh xèo (shrimp and bacon crepe) and the portobello bánh mì (roasted with Havarti). But, not sure if we'd go back because seating was a problem. Maybe good for taking with you if you can order ahead.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.05; Sentiment_Subjectivity (from 0 to 1): 0.337777778 [/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: Another New York pizzeria with a reputation for having some of the best pie around. It's good, but it isn't that good; however, don't mistake that statement for it being bad. I've seen some reviews mention having to wait in line, but I must've had good luck each time I went as I got seated right away. As an aside, the atmosphere and decor isn't what you'll come back here for. The pizza is good, but I think now Lombardi's reputation as a pizza institution precedes itself and the flavor just doesn't match.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.391341991; Sentiment_Subjectivity (from 0 to 1): 0.484102934 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: you gotta eat here!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: With the quality of food, service, atmosphere, Cha-an made my special occasion a perfect one.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.678571429; Sentiment_Subjectivity (from 0 to 1): 0.785714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came for Sunday brunch. I highly recommend this, because a number of the menu items come with a free, delicious cocktail. MAKE A RESERVATION. It gets crowded. The service was awesome. Our waitress was very friendly, but didn't overdo it. She was quick, and apologetic when she made a mistake. The food was really, truly delicious. The best brunch food I've had in a long time. I had the Benedict Johnny - eggs benedict with roasted tomato Hollandaise over english muffins with turkey sausage and home fries. The tomato hollandaise was complex and added a very nice flavor to the dish as a whole, and the turkey sausage was a nice twist. The home fries were cut small, but flavored well and not too greasy. I had the blood orange mimosa as well, which I enjoyed. I wouldn't have paid $13 for it, but it comes free with Sunday brunch. The english muffins were a little too dense. Oh well, still tasty. MAKE A RESERVATION.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.363666667; Sentiment_Subjectivity (from 0 to 1): 0.5795 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every time I come here I am in Europe. It all transforms me there - the decor, the cake display,  menu, each bite of my food, your staff, your attitude, views from the window, the wooden walls, people around me, the real whipped cream... hmmm, poppy seed round cake... When I am homesick I come here and you soothe me and tell me it all will be ok. Thank you Danke Grezie Dekuju Merci; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Way too crowded even on a Wednesday night, but after an hour and a half wait.... damn good ramen. Also to be noted... although my friend and I sat down and ordered first, 2 other couples received their appetizers AND ramen before we even got our appetizers. My friend felt that there was very clear racial preference (asians before non-asians). I generally doubt these theories,... but it seemed we were less prioritized than others for some reason or another. The pork buns were fantastic as well as the modern ramen.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.111611111; Sentiment_Subjectivity (from 0 to 1): 0.402888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here a few times and I always had a great experience but today I brought my sister and experienced the worst service ever. I ordered the most basic pasta: penne with tomato sauce and basil. Very basic meal. Now just note, it takes A LOT to piss me off, I know I have a lot of patience so I know I'm not blowing this out of proportion. The pasta they have me was so hard! I normally don't complain but it really was so hard to just ignore. I asked them NICELY if they can cook it longer and they seemed very arrogant about it as if it was suppose to taste like this. I was so shocked on how they reacted but I still didn't snap at them. They come back with HALF the serving than I ordered and I only took 3 small bites. How rude! After my waiting "Adan" asked me if everything was okay I expressed to him very sincere and Nicely that I didn't appreciate they took half my plate out :( He walked away and gave me no response. At all. It made me feel like total shit and I wanted to share an give my sister an awesome experience. She then told me "I would never come back" :( thanks guys! Totally ruined my awesome dinner plans with my sister. Did not like the vibe AT ALL and could not believe you can call that "service" I'm not angry just very disappointed at how you can hire a staff like this....especially in NYC ps. I'm still Hungry :(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.016011905; Sentiment_Subjectivity (from 0 to 1): 0.615119048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Exceptional all around. Food was delicious. Service was excellent with very knowledgable staff. Wine choices were excellent. Definitely an event. Pricey but well worth it. Make reservations in advance.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.595238095; 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: Relaxed atmosphere, delicious pasta, great drinks. As I entered the restaurant, I noticed it was louder and more relaxed in the front where the bar was situated. Ideal for grabbing a drink somewhere nice after work with a friend and catching up. Our waitress lead us to middle of the restaurant; bigger, more serious parties seemed to populate the back of the restaurant and the atmosphere felt more intimate there than the front. My date and I both ordered a drink from the menu, which helped us cope with the wait time. Although service was friendly and helpful, it felt slow at times and our bread took a while to come out to us. I ordered the Pappardelle that featured a Lamb Ragu & Grana Padano. Absolutely mind-blowing. Tons of savory flavor and completely swept me off my feet. The pasta here is fabulous and you can certainly taste the difference. Afterwards, we hung out at the lounge across from the restaurant and played some billiards. Quiet, intimate, great way to relax and cap off the night. In terms of price, certainly more on the expensive side. The specials sounded amazing but landed a bit out of my price range. Would love to come back and try more intricate dishes and more drinks in the near future. Definitely need to come back and try the brunch, more drinks, and the snack menu. Although I only had a few cocktails, the wine list featured a healthy selection and the snack menu looked affordable and enticing if drinking late night with friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261998747; Sentiment_Subjectivity (from 0 to 1): 0.547274436 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap, delicious, generous portions...  What more could one want from a late night snack place?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; 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: Just ate here again moments ago and it was a solid disappointment. The food's okay, but I've never been in a restaurant that happily uses windex in the middle of service while people are eating. The bartender decided to start closing up and was wiping down the bottles using windex. It was a real oddity. Every other restaurant in the free world has figured out that it's about the most awful smell you'd want to inflict on your customers and uses vodka instead. I can't think of a cuisine that would benefit from this odor encompassing the dining area. Since I've never been in a place that doesn't use vodka (convenient, scentless) instead, I've also never been in a place where you tell someone about the scent being off-putting and ruining your meal and they just keep using it anyway. They didn't stop! They just kept using the windex! And laughed out loud about it! We ended up leaving pretty abruptly. It puts me in the unfortunate position of writing another place off based on ignorance and lack of appropriate response. Like I said, the food's still okay, but this is what you can get in this place so now you know. Amateurs.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.10941358; Sentiment_Subjectivity (from 0 to 1): 0.570216049 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a fan! It's a bit of a find, but if you do it feels like you have unlocked the treasure chest. The place looks fashionably elagant with a timeless sense of class and style. Food is perfectly done, btw: had a very great Bloody Martini with brunch. Place just has 'it'.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.94375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pleasantly surprised by this place! Had brunch here with some friends and we were all pretty satisfied. The sweet potato fries with sage were amazing -- I'd say almost the best I ever had. Steak and eggs were average; nothing to complain or rave about. The Alfie Burger was delicious. Each entree came with a drink -- bloody mary was delicious, as were the lychee bellinis. The place was not busy, so service was attentive and efficient. Would definitely come back to try their happy hour and craft beers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.335; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am a Ramen fanatic, I hate writing posts unless something really sticks out, but this IS the best Ramen Hands down so far. Did all the other spots in BK and the city. Take it for what you will, this places trumps em all!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.015972222; Sentiment_Subjectivity (from 0 to 1): 0.551984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 2013 Michelin 1 star This dive-ish restaurant/bar has got some unique decor, but like others have noticed most of the pig theme extends to the decor, not many pig options on menu.  We opted to go for lunch because of the infamous multi-hour wait times.  Our wait on a Monday afternoon was about 15 min.  As for the food, we ordered the burger with shoestring fries, the gnudi with brown butter sage, and the side of greens and beets.  Everything was good, but dont believe others when they say its the best burger ever, its not.  The cheese they use was a little pungent, didnt come with any greens or other condiments.  They dont carry mayo in the entire restaurant, but had gourmet ketchup and mustard.  The gnudi was essentially a larger gnocchi filled with ricotta cheese.  The greens were also good and im not a huge fan of beets.  I like this place over Minetta tavern.  Their other food looked good as well, if im free for lunch again, will definitely stop by again.  Would not wait hours for this however.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.199264706; Sentiment_Subjectivity (from 0 to 1): 0.622058824 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 didn't have a chance to frequent Salt Bar, but I really enjoyed drinks at Thelma! Tuesday night at 7pm was pretty quiet. The sidecar was so delicious. I could have had 10 of them. I also ordered the bacon wrapped dates (which were delicious but I've honestly never had BAD bacon wrapped dates) and some sort of fish mousse served with toast, which I didn't really care for. I wish they had more dips and charcuterie plates - I think it would be a great add to the menu! Kind of expensive but I'll definitely be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.269642857; Sentiment_Subjectivity (from 0 to 1): 0.639285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy and romantic. I love to do the six-course chef's tasting menu. Last night's six courses included 1. Arroncini, Brussels sprouts for our gluten free diner 2. Salad, ah-mazing best ever prosciutto, ah-mazing beets, and grouper ceviche 3. Delicious pasta dish... Super buttery and comforting on a cold winter night. Gluten free available. 4. Pasta again but this time with a peppery red sauce. Easily the best red sauce I've ever tasted. 5. Main course-- grouper dish and a pork tenderloin with chickpea purée; served with two sides, simple and delicious roast Brussels sprouts and turnips. All good but by this time we were so full I don't remember much about it. 6. Cheese course-- three kinds, one soft, two hard. 7. Dessert-- a tart and tangy lemon sorbeti, a rich and creamy vanilla gelato, and a decadent chocolate hazelnut dessert of some sort. Not sure why there ended up being seven courses  but it was all divine. Definitely highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262098765; Sentiment_Subjectivity (from 0 to 1): 0.541766608 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to say, this place has improved markedly from its opening. The prices are better and the offerings are broader. In general, they've really stepped up their game. We went for the dinner for the first time since last summer and were pleasantly surprised by the revamped menu. There were much more reasonable offerings as well as better prices on the mains. The quality was good (didn't knock our socks off but it was definitely tasty) and our server was prompt and attentive. Glad to see this place has worked out its kinks. We'll be going back more often now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241176471; Sentiment_Subjectivity (from 0 to 1): 0.505882353 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gotta try their Chicken Pot Pie! :); Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.125; Sentiment_Subjectivity (from 0 to 1): 0.975 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at decent prices. The black beans are the best I've had on the mainland. How they imported that true island sabor is a mystery. The roast pork was delicious, well seasoned, decently portioned (to fill you up enough while still having room for an appetizer), and came out in very short order while the place was packed. Don't worry about the wait. It's small but folks are good about sharing the love cooked up in this kitchen.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.347435897; Sentiment_Subjectivity (from 0 to 1): 0.554358974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Happy Hour $5 frothy lychee martinies daily from 5pm to 10pm in LES. Other $5 deals are for bloody mary and sangria if you want to be a party pooper. that is a one hell of a deal :) RECOMMENDED; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.075; Sentiment_Subjectivity (from 0 to 1): 0.655 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to Chelsea Market on a busy week day right after Christmas. Without reservations, we put our names on the list at The Green Table, and had about a 20 minute wait. We spent that time walking around the busy Market. The restaurant is really tiny and we had a nice two top by the kitchen. It wasn't uncomfortable but definitely tight. I was pretty set on getting the Vegetarian Chili, but the waitress informed me that they ran out. I understand that this happens, but I wanted that chili! I thought about getting the Quinoa Falafel, but decided against it because the idea of Quinoa made into Falafel just seemed weird to me! They have a flight of deviled eggs, but I decided that I just wanted all classic. So I enjoyed the perfectly prepared eggs. They were really well seasoned and savory. I also got the warm olives. The variety was good and the seasoning was on point. So, I ended up with a few snack plates, and they were good, but it was pricey for the portions. My best friend decided on a half grilled cheese (it had a cranberry chutney) and she was crazy about it. She had the half harvest salad as well, and said it was a filling, delicious lunch. She liked the uniqueness of the grilled cheese and appreciated how well it was cooked.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217070578; Sentiment_Subjectivity (from 0 to 1): 0.516836735 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thai food I've ever had so far. They are as authentic as it gets in NYC. I would recommend their fried snapper. Their curry was very good. Def get the thai iced tea, it's crack.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.6275; Sentiment_Subjectivity (from 0 to 1): 0.7075 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Being Argentinean, I had to see if this place passed the test -  I was pleasantly surprised! I walked by on whim after work during their happy hour and stopped by to enjoy a glass of Malbec. We then tried their empanadas and a steak! All of which was delicious, especially with the chimichurri sauce! The only thing I would change is the portion sizes, their plates ran a bit small. It was not ideal to split. Typically a friend and I are able to go to an Argentinean restaurant and split a meal together. This is a type of place that you could also go for a romantic date.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.187121212; Sentiment_Subjectivity (from 0 to 1): 0.765909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 work in the area and had been waiting for this place to open after passing their doors for months. Well, let me tell you that it was worth the wait. From the looks of it, you'd never know they've only been open a few months. The decor is somewhat rustic with tin ceilings, wood floors and a quaint lighting. If I didn't know any better, I feel like this is the type of place that has been tucked away in this neighborhood for years. At any rate, on to the food. I've been in a few times to try the pizza and the pastas. As most people know, they make their own dough, sauce etc - as any self respecting pizza place should. I'm a very basic pizza lover so I've stuck to their classic and fresca pies with a few toppings each time around. I love the thin crust and love how the whole pizza is swimming in sauce and cheese like most of the pizza you find in the area. I had heard a lot about how good Joe and Pat's Pizza was so I'm not surprised that they've cranked out delicious pies each time I've been in. The pasta surprised me though. I didn't know that most of it is made in house. I've had the pappardelle and the cavatelli - both were amazing. The pappardelle was made with a nice heavy meat ragu, which clung to the pasta just the way it should. The cavatelli was in a lighter, butterier sauce with braised duck meat and that too blew me away (might have been a special that night?). The smaller portions are perfect for one person too. You can easily pack a few slices away before your dish comes out if you're there with friends too. The service each time has been more than adequate as well. The whole staff has a very laid back, informal look to them but they're never short of recommendations or explanations if need be. One of my favorite part about this place though has got to be the drinks. I'm certainly no connoisseur of classic cocktails but I do know a thing or two and it's nice to see a place as laid back as this offer more than just Italian wines and your generic liquor offerings. If it's slow enough and you have any eagerness to learn, as the bartender about his favorite drink or just have him make you one. As is the theme of the rest of your visit, you will not be disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.207291667; Sentiment_Subjectivity (from 0 to 1): 0.51469494 [/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: My first trip to Greenpoint was a huge success...entirely due to the awesomeness that is Lobster Joint! This fun restaurant is a serious competitor to Luke's Lobster (another 5-star favorite of mine). This location has a lot of seating, including a really cool backyard area where my friend and I sat for dinner (it was covered and heated, since April still seems to be "winter" this year). We ordered our Connecticut Lobster Rolls, Lobster Mac & Cheese and beer at the front counter, received a number and headed to a table. All the prices were very reasonable, especially since the portions are huge. The food took about 10-15 minutes to come out, but we enjoyed our beer while we waited. The Lobster Roll was just overflowing with huge chunks of lobster all on a toasted top-split bun. So good!!! And the Lobster Mac & Cheese is definitely a dish to share...it's huge! A few Yelpers had mentioned that the pasta to lobster ratio was poor, but we actually had a lobster in every bite! I cannot wait to go back...the only downside of this location is the G train (don't get me started!); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198442982; Sentiment_Subjectivity (from 0 to 1): 0.642368421 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 private party. Nice ambiance. Drinks standard fare.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.458333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great though the small space. Pao & Cha Cha has very welcoming owners and workers. Food: Empanadas: Molida - Damn was this empanada G-O-O-D and it wasn't oily!!!!! So that's a damn A+ in my book! Dumplings: Chicken - Very good but it could have been stuffed with more chicken. Playeros: Though VERY TASTY I wouldn't order again. Due to the toppings the tostones became a bit soggy and I like my tostones crunchy but that is my preference. So please order and try for yourself! Tequenos: Great cheese sticks that weren't oily when bitten into. Mango Fruit Juice: Had a few sips from my friend's juice and it was mildly sweetened, very good. House blend Ice Tea: unsweetened....just the way I love it! Also, didn't have a bitter taste after consuming like some teas have. Salsa's - Cha Cha Salsa and Pao Salsa is CRACK.   Can't wait to try their Rice Boxes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.262334852; Sentiment_Subjectivity (from 0 to 1): 0.569 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If I were to just rate the empanadas, hands down would give it 5 stars. They were delicious. I intentionally got their most "boring" sounding ones (mushroom + chicken) and they were amazing!! The shell was perfectly crisp and slightly doughy but I like it that way and the filling...mmm...juicy and delicious! Prompt service, reasonably priced and a fun ambience. So why not the 5 stars? We got the plantain chips with guacamole and some sort of salsa. The chips and guac were good, but the sauce was kind of non-descriptive and bland. For an empanada place, I think investing in a better sauce would be good. the drinks we didn't order but I was sneaking looks into other tables and they atleast looked super good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.299049708; Sentiment_Subjectivity (from 0 to 1): 0.636695906 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last time I went here (several weeks ago), they weren't taking credit cards because of some issue with the CC company so I would make sure to have cash just in case. Food and service here is always superb. I went here with a date and had a kick ass cobb salad. I would think that cobb salads can't be anything beyond a cobb salad but their presentation is great plus the ingredients are so fresh that you taste every bit of avocado, bacon, egg, lettuce...yummm...The portion is huge too. I also had the scallops and enchiladas here. Both very very good. Scallops are always cooked very well and have a kick to it. This is one of my favorite restaurants in the west village. Food is reasonably priced, wine list is good (though priced not as well), and the cook staff is fun to talk to while you sit at the bar. Can't believe they can cook such great food with a tiny kitchen like that! Impressive all around.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.447647059; Sentiment_Subjectivity (from 0 to 1): 0.607973856 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! chicken sandwich is delicious!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.383333333; Sentiment_Subjectivity (from 0 to 1): 0.95 [/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: Great spot!! great music!!! Great staff!!!!!   sometimes its alittle to crowded for my taste but def one of the better chill spots!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.9453125; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 given this place a chance on three occasions, and no more! The food is quite good, which kept me coming back, but there is an atmosphere of anxiety consistently surrounding this place. Each time I've been here you can't help but overhear the rude and aggressive mutterings of the management to their staff, not to mention the sickeningly insincere smiles. On one occasion the entire restaurant could hear a girl being screamed at in the kitchen, (which is behind a mere curtain!) If the owners here think they're being discrete in whipping their staff into shape, they are sorely mistaken. Despite the good food, it left a bad taste in everyone's mouth that night seeing such miserable servers. I will not buy into this contrived atmosphere again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.205833333; Sentiment_Subjectivity (from 0 to 1): 0.552777778 [/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: While there are plenty of dumpling shops around Chinatown, Vanessa's enjoys an exceptional amount of popularity, helped in good part by their low prices and their adoring hipster fans. When rent is ridiculously high, the trendy and over-extended will look for a tasty, filling bargain, and this place fits the bill. When you enter, there's usually a long line, however it moves fast. With a couple orders of dumplings and a sesame pancake or two, you and a friend can stuff yourselves to the gills for under ten bucks. They have a reasonable variety, so I recommend trying different things to see what you like best. After you order, you wait until your number is called. For a simple order, such as the case when only ordering dumplings, the food is ready quickly. If you add pancakes or pick special dumplings, your Oder will likely take longer as they prepare it fresh. Being tragically hip, there's often a dearth of seating, and you'll likely be making friends fast with whom you'll share your table. You could always do takeout, but I find the food really needs to be consumed immediately for best taste. While the fillings are tasty, I've still had better elsewhere, and I find the wrappers on these gyoza-style dumplings far too thick and chewy... prepare for carb overload. The sesame pancakes are also thick and chewy, and I find them greasier than I'd like. I should mention that these are not like scallion pancakes, which are thinner and more delicate, but more in line with a fried flatbread. I recommend them as a sandwich. Vanessa's is very convenient to the train, as well as being close enough to walk from the LES. They certainly serve a passable dumpling, and the price is right. If you are a bit of a dumpling snob, and are willing to venture further, you will find better still.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.221503759; Sentiment_Subjectivity (from 0 to 1): 0.573045113 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wish we Vancouver, BC, Canada have amazing tofu houses like the BCD. Food here is solid. Usually seeing 4-5 dishes of banchan is considered normal, but seeing 7-8 include a whole headless fish? You know you're in for a treat. In between meals I really needed something soupy, savory, and homey. After almost half an hour of walking around in Korean town and bombarded by so many options of Korean nibbles, we decided to try BCD Tofu House. First the Yelp reviews are solid and secondly, it looks very clean. My partner and I ordered Kimchi pork soon tofu with medium spice to share. Prior to our food arriving we were having a fabulous time just nibbling the wide variety of ban-chan: fish, seaweed, dill pickles, kimchi, marinated octopus pieces, and broccoli florets. I am not a fan of fish but somehow this fish my stomach can take without giving me pains and aches. Our kimchi tofu soup arrived piping hot with large boils still going. We were given a bowl of white rice served in a hot stone bowl. Our sever portioned the rice into our respective porcelain bowls, and added water into the hot stone bowl. I didn't know that's the ritual or else I would have stopped her before she added the hot water. My dear loves to pick at the the crunchy rice at the bottom. The verdict is that the tofu soup is damn good! The soup was not watery, it's brothy. There's plenty of things (meats, kimchi, tofu etc) in the bowl. The tofu was very soft and silky. I've read a lot of reviews saying that this place is expensive. The way I look at it the portions from the ban-chan to the tofu soup itself and the rice are all very generous. Therefore charging in between $15-$20 I think the cost can easily be justified.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.169603175; Sentiment_Subjectivity (from 0 to 1): 0.473835979 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little french bakery with the best macaroons.  I only tried Rose and Pistacchio, but they were remarkable. Pillowy, and just a slight chewy in the center.   The mini cakes to the right of the counter?  DIVINE and beautiful!  At $6-$12 per mini cake, it's affordable... yes expensive, since each cake is 2-4 small bites, but still affordable for a treat.  My friend and I decided to buy 4-5 little cakes to have a decadent dessert tasting after dinner.   The line is long.  Very long.  In the small shop front, the line zig-zagged twice!  The service is fast though.  We didn't wait very long.  I saw 5 staff members servicing customers.  And anyway, while we waited we just looked at the beautiful store front decor.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.170077381; Sentiment_Subjectivity (from 0 to 1): 0.562119048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Maybe it's just what I ordered the last two times, but the falafel sandwich was nothing special and the lamb was too oily.  Good service and great prices, but I just wasn't impressed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.571428571; Sentiment_Subjectivity (from 0 to 1): 0.597619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Review for BRUNCH ONLY Well, I can't even say Penelope is overrated anymore because it now only has 3.5 stars, although my Yelp acquaintances all rated it 4 or 5 star. So what happened? Here is their brunch deal: $18 for an entree plus coffee or juice or a breakfast cocktail 45 minute wait on the dot. Slow service, even though it was fully staffed for a small restaurant. Noise confining dining area - I can only imagine it gets louder when door and windows are closed in the winter. Wooden benches, chairs and tables were not most the comfortable and probably won't fit oversize patrons. The space between patrons - too close for comfort. My dear Donna described my Bloody Mary as A1 steak sauce, basically (with ice cubes). No complains about the other breakfast cocktails - Bellini and mimosa. Salmon and toast with side greens Breakfast burger with side fries Let's not forget that salty 'fakin' bacon' that looked like burnt tree skin. Between that soy bacon, organic ketchup in a glass bottle, and skinny-jeaned staff - it smelled like wanna be hipster, but not quite there. Solid brunch food - really solid, but not worth the lengthy wait. Tried it, no regret. Move on to better brunch spots in town. Sarabeth is just two blocks away.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.0421875; Sentiment_Subjectivity (from 0 to 1): 0.4796875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!! This places was so good!! I think tapas are my new flavors! ( i guess kinda like dim sum--small plates) Between the four of us, we ordered: 1) A bottle of 2002 Malbec, Catena, Mendoza: 4.5/5!! (Malbec is my favorite red at the moment!) 2) Lemongrass shrimp skewers: 3/5 3) Quail Egg toast: 5/5 (soo good--my favorite dish of the night!) 4) Lamb skewers 3/5 (not much of a lamb person) 5) Seared flank steak 4/5 6) Duck banh mi 2/5 (disappointing if you're Vietnamese/Asian) 7) Butter lettuce salad: 3/5 8) Pulled pork slider: 3.5/5 9) Country pate:3/5 (not a pate person as well) 10) Some special on the menu that had avocado: 4/5 (pretty good, too bad i dont' remember the name) Overall good food!! The ambiance and service were great too. After dinner, we just walked around the corner to my friend's place, so that was convenient.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.283241024; Sentiment_Subjectivity (from 0 to 1): 0.626037688 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gottino is one of my top two or three wine bars in New York City. Gottino specializes in Italian wines and the glass and bottle lists are very well chosen. Service is great.  Very knowledgeable and friendly staff. The food is "small plate" stye and surprisingly good.  (My only complaint is that I usually end up eating too much!) The experience is much better sitting at the bar.  The no reservation policy, tight seating and popularity make Gottino a challenging place to arrive at a prime hour with a group of three or more however.  The best strategy is to arrive early or late and have a nearby "Plan B" (Gonzo on 13th Street for example).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.213466296; Sentiment_Subjectivity (from 0 to 1): 0.425726654 [/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: Very nice dinner. There were six of us and everyone really enjoyed the food. We had several appetizers and all were excellent. The only one we didn't love was the fried calamari. For dinner arroz con pollo, suckling pig, short ribs, black cod were all excellent. We didn't have desert. The service was outstanding, they filled water glasses after you drank a 1/4 of it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.41030303; Sentiment_Subjectivity (from 0 to 1): 0.709848485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 more I thought about it, the more pissed off I got about this place. Yea it wasn't good at all. Yall are not special. Get your service up, and up properly. Lamb wasn't even that great. tasted like tomato sauce with gaminess at the end.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.386904762; Sentiment_Subjectivity (from 0 to 1): 0.503571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overall great experience. In the heart of the flatiron district the entire complex is fun to shop around before or after the meal. I've been to the rooftop twice so far this past fall and even without the open roof, it's a great atmosphere. Their selection of house brewed beers is unique and the staff is knowledgeable regarding which choices will pair well with your meal. I've had the pork shoulder and home-made sausage. The entrees are simple, with only kraut and mustard accompanying the meat but it is really all you need to go with it. The only thing that won't make me come back here all the time is the price, but that's expected.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1203125; Sentiment_Subjectivity (from 0 to 1): 0.527008929 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolute best thai food I have had in the city. The service was great and the food was amazing. I had the pumpkin curry with chicken and the stuffed tofu as an app. Both were excellent. I cannot wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.428571429; Sentiment_Subjectivity (from 0 to 1): 0.685714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overall, this is arguably in the top echelon of pizzas in Brooklyn, and the bar makes it even better.  The value and ambiance is heads and shoulders above the competition, like the over-priced and irritatingly popular Franny's in Prospect Heights. We went here to try it out on a Wednesday night at 8pm with a small group of friends and we were seated immediately.  The bar in front is beautiful, and I could see how this would be a great spot to have a drink and then a pizza when you get hungry. We ordered the salad special, arugula with shaved fennel, parmesan and oranges, and three pizzas.  The "Ditmas Park" was an outstanding pizza for not even having any cheese--it is quite garlicy and showcases the somewhat miraculous crust, which is a uniquely delicious crispy and thin sourdough.  The "Sunset Park" was also very good with a spicy soppressata, as was the "East Williamsburg" with mushrooms.  The naming of the pizzas as Brooklyn neighborhoods is very clever and makes choosing fun.  All pizzas are $10-$15. The list of specialty cocktails ensures something for everyone, and they are made to pack a punch.  The beer list is also very good, and offers a $4 draft (that night it was a Lionshead Pilsner). Service was good and very friendly (pizza makers came out of the kitchen to ask how the pizza was), although plates were not cleared efficiently. The decor is just slightly off (although the wood details and the bar are beautiful)--the dining room tables are oddly arranged and slightly askew, making the space feel like a coffee shop after a day of people moving chairs and tables to accommodate their work. Outstanding!  We will certainly make this a regular place on our list!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.339490476; Sentiment_Subjectivity (from 0 to 1): 0.551857875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 happy hour with some friends. The place is a bit small and it fills up quick! Probably because of the $5 lychee martinis they serve! I got the lychee martini and the white sangria and it was definitely worth it. I would definitely come back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.357142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tried Indian for the first time & I'm absolutely obsessed. This restaurant has high ratings for the right reasons. Besides the small space & tight seatings, the food made up for it overall. The 3-course Prix Fix will fill you up for $20!! I ordered Samosa, Chicken Tikka Masala, Roti, Garlic Bread, Mango Lassi & Kheer. Samosa was delicious. A bit like an Indian-version of meatball, bursting with flavors. Chicken Tikka Masala can either be spicy or not. Very spicy but delicious!! Heavy sauce to match the type of rice. Roti & Garlic Bread were delicious, partnered with the Tikka Masala sauce very well, though garlic flavoring was strong. Mango Lassi is a mango-banana flavored smoothie. Very thick texture, more of a dessert type drink. Kheer is very sweet rice pudding. Highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13127381; Sentiment_Subjectivity (from 0 to 1): 0.616529762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Visited the restaurant today after watching the bubble show and it was wonderful, omg. My daughter fell in love with the strawberry milkshake.... Will be back again one day!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We stopped by here twice last week. THE GOOD The service is great. Friendly. Prompt. The location is great. THE BAD The few dishes that were good were VERY SMALL for the price. (9 bucks for a plate full of two kinds of lettuce and salt. Ugh - even for Williamsburg) The dishes that were bad - about 50% ( we tried nearly the whole menu over two visits) were Baaaad.  The soup tasted like a bowl full of ranch dressing, ew. The ambiance is boring. VERDICT: We will only go back if we want to grab a drink at the bar. the food here is WAY too over priced (for what it is) and some of it is terrible. (some was good) There are so many amazing restaurants on N 6th street - this is just not one of them.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.107142857; Sentiment_Subjectivity (from 0 to 1): 0.577142857 [/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: A true 5 star review, start to finish.  Had such a lovely evening at ABC Kitchen.  Every bite of my food was good & I left wanting to be buds with our waiter, the bartender, the hostess. Walked in to a crowded bar & were told 1.5 hour wait for a table by the bar.  Ended up getting a table in 35 minutes in the dining room, prime seating at what the waiter later told us is the one they have been holding for S. Sifton (2 visits in, one to go).  While we had multiple different servers bringing dishes, clearing, water pouring, drink serving, it never felt overwhelming & our main waiter lavished much attention & conversation on us plebeians even while he was also in charge of no less than 3 tables of celebrities.   4 of us shared: fiddleheads crab toast ramp toast (special) calamari carrot/avocado salad kasha/bowtie pasta ricotta infused pasta (special) mashed potatoes - ed. note: craving of the preggers woman at our table sea bass ice cream sundae rubarb pie That seems like a lot for 4 people when typed into a vertical list, but it was the perfect amount of food: all portions were well-sized, delicate, fresh.  Even the bill was reasonable. I enjoyed everything, but thought standouts were the pasta special, the crab toast & the rubarb pie. The room is what I want my house to look like, if my house was just a big kitchen room with great tablewear, dim lighting & happy people clad in plaid. Also, while inconsequential given the food/drink/service awesomeness, to add to that awesome: JG said hello, Tom C. was so casual next to us, occupying the table Quincy Jones just vacated, all-around top night.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.267380952; Sentiment_Subjectivity (from 0 to 1): 0.524365079 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 LOOOOVE the Gander, the way I love Recette, but alas, that is not the case. 2 people shared the following snacks and apps.  We weren't really into any of the entrees. From best to worst: Brisket tots - Super original and tasty Buffalo Sweetbreads - Also super original and tasty Shimp au Jus - Perfect little bites, tasted good nothing original though Calamari salad - Tasted fine but nothing special... just fried calamari on romaine lettuce... Cauliflower side - It was good but  was sort of overpowered with some crazy spicy Fluke Crudo - Absolutely GROSS, the prawn was mushy and the fluke was stringy and the broth was crazy salty. Completely inedible. The service was "whatever", the waiter was nice enough when he actually came around which wasn't super frequently.  Mostly I was surprised that no one asked why we didn't finish any of our food (which i have experienced at many decent restaurants in manhattan). I noticed many other diners also didn't have clean plates soo.... I assume I am not the only one who felt this way...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.227048319; Sentiment_Subjectivity (from 0 to 1): 0.619502801 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fabulous. It's got a really classic, homey vibe (brick walls, kids' letters or drawings on the walls) and they serve a bunch of dishes with a wide price range. My fiance and I shared the veggie pizza and a bowl of garlic bread (basically pizza crusts with garlic and marinara sauce). The pizza was really good, the wine was good, the crusts slathered in oil and garlic were (obviously) good. There was definitely a substantial amount of noise coming from all the kids and families, but it sort-of just added to the laid-back atmosphere of the place. The family sitting at the next table dropped their whole pie onto the floor and the waitress assured them they could have another, on the house. That's a clear sign they want returning customers. Our waitress was very nice and since the place wasn't packed we were checked on about every thirty seconds (I think she was bored and wanted to chat). The only reason I took off one star is because I'm a vegetarian and I wish they had another veggie pizza option with "meatier" veggies (eggplant, artichokes, etc).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242051282; Sentiment_Subjectivity (from 0 to 1): 0.588461538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sleepy and cozy diner is a welcome addition to the neighborhood, which benefits from the same comfort and charm that the owners brought when they opened Atlas next door. It seems obvious to me that the owners of this local business put a lot of heart, sweat, and tears into Queens and Paupers. However, it still lacks of a certain "it" factor, although in the short amount of time it has been open it's really been starting to polish up. It's got soul, and I hope it will live up to its potential. Decor/Ambiance-- The wallpaper, lighting, and wooden booths really work well together. And while the intimate space is a bit cramped, I think it lends to the charm of the place. However, a few details do prevent Q&P from reaching its full potential--tabletops don't seem to really fit the rest of the decor, and the front door was installed backwards, making for awkward (but sometimes entertaining) entrances and exits from first-time customers. Service-- The staff and owners are very friendly and they have the energy to match, which really adds points to Q&P and to Atlas next door. The service was attentive and friendly. Our waitress made small talk with us, asking us if we were from the neighborhood as well as checking up on us frequently. Food-- My girlfriend ordered the turkey burger, which had a thick and lightly seasoned patty served between rich brioche buns. The salad it came with was pleasant, although it ran a bit heavy on dressing. Nothing to complain for shy of $10, though. I ordered the cannelini & English sausage casserole, which ended up being more of a soup...wit no cannelini. It was still good, but not worth the $13. When I mentioned that the item was different from described in the menu (after I ate it, because it was still pretty good), the waitress was promptly apologetic and let the chef know. Other-- As stated previously, the little details keep this place from being all it can be. The place was a bit chilly and the ventilation in the kitchen seemed under-powered, leaving patrons smelling slightly of kitchen oil.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.096209768; Sentiment_Subjectivity (from 0 to 1): 0.454270186 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In the mall it's like $6 for a small one and fries. I'd pay $6 ANY day for the lamb & rice and you get A LOT! Totally worth it for a NY Tourist trying to save some money. Has enough to share with someone else! Thank YOU YELP and REVIEWERS for all your help! My NYC wouldn't have been the same without you! What I LOVE is all the "local" spots not just the "advertised famous spots to go to".; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.141071429; Sentiment_Subjectivity (from 0 to 1): 0.389285714 [/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: In this age of plastic, I was kind of annoyed the first time I went with a few friends and had no cash on me. Fortunately big sis was gracious enough to spot me and so we split an order of Spicy Noodles. I was fairly hungry and wasn't expecting to be satisfied by half an order of noodles and was already planning to grab a slice of pizza after we left the restaurant. Much to my surprise, when our order came we were greeted by a large plate piled high with noodles. And what's more is that these noodles were delicious. The wide, rice noodles are pan fried and so the edges have a light crust which provide great texture. Though the chicken that comes with it is nothing special. It seems like frozen chicken breast from Costco that's chopped up and mixed in. But I believe it's the same price with or without. All in all a great dish and one I highly recommend. I ended up not getting a slice of pizza afterward and was quite full. I've also tried a few of the curries which also come in large servings. In fact, unless you like your rice drowned with curry it might serve you well to order an extra bowl of rice. Great clean flavors though and plenty of heat (cooked to taste) to satisfy spice lovers. The decor of the place is great. Very modern styling cues with some cool light fixtures littered around and fairly ordinary seating. I've only been during dinner time and the restaurant is pretty dimly lit so I guess everything may have looked a little better than it really was (A phenomenon club patrons are pretty familiar with). It is a very relaxing environment though despite being a little cramped. I've gone to Song three times and two of those times they had a live DJ playing some cool jazzy, funky beats. It adds nicely to the feel of the place without coming across as too hipster. The best part about Song though is the prices are CHEAP. With almost everything on the menu at $7 and portions that can feed two and taste great, coupled with a live DJ and service that isn't terrible, Song earns an A+ in my book. Definitely check this place out if you're in Park Slope.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205150742; Sentiment_Subjectivity (from 0 to 1): 0.554885204 [/INST] Not Spam</s>