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: Awesome place to have a good affordable meal to share with a group in the EV. This is a must for those on a student budget. If you didn't bring any with you, buy beer(s) across the street and take it in with you. As you've probably heard, this place is BYOB. There are a good amount of people coming in and out and being smaller in size, this place can get loud, but that adds to the fun atmosphere. Share some momos with your friends/date/etc, you can get them steamed or pan fried. The sauce they come with is tasty. They have a nice assortment of vegetarian dishes as well as meat offerings. I enjoyed the lamb curry and our noodle dish was not bad. I only wish that I discovered this place earlier.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.386363636; Sentiment_Subjectivity (from 0 to 1): 0.687878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had a wonderful weekend brunch at this restaurant.  We waited around half hour for 2 people. But the weather was just too nice that the wait time got easily overlooked.     Ordered the special pomegranate and honey lemonade ice tea and the house made sweet ricotta cheese with grape molasses and toasted almonds. The two entrees that we got were the lamb hash and green eggs.      The honey lemonade was just alright, not that special. But the ricotta cheese was excellent. It was creamy and milky. The grape molasses was a bit too much compared the amount of ricotta cheese they gave you. Anyway, it's like heaven when you bit on to that warm pita bread with the cheese and molasses and almonds. I wished thaf they could gave more almonds too.       The green eggs was very interesting and refreshing. The scrambled eggs was just the right tender texture but it could be a little bland to some. The lamb hash was a killer. There's so much lamb meat in this dish with potatoes, green peas and tomatoes. The crispy bottom was just so good. Tasted like chips. But the lamb could've been juicer and more tender.       All in all, we left the restaurant feeling satisfied and happy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3445; Sentiment_Subjectivity (from 0 to 1): 0.59247619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here thinking this place was really awesome from the reviews. Little did I know it was very over rated! While the food is adequate at best it was over spiced and nothing special to be honest. The venue is nice and the lounge area is prob your best bet. Our waitress was very pushy and kept pushing us to order more when we ended up ordering 6 dishes that neither one of us ended up eating, those fries that they rave about are also nothing special! This place is way more hype than actually good. I'd go there for a drink and a app or two but nothing more!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.528293651; Sentiment_Subjectivity (from 0 to 1): 0.545079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Frankly the food was only so-so. The corn soup reminds me of the soup my mom made me as a kid, and knowing how simple it was to make (can of creamed corn, broth, etc) made it less special. Plus it was served to us cold so meh. The sandwiches are tasty, the service is very friendly. Given the simple foods, I was very pleased with the great prices (though it was nothing special). Portions are on the small side. We only had the soup and sandwiches, so I have to come back for the japanese food to reevaluate. The ambiance alone is five stars though. It's totally worth the visit, and I absolutely love how relaxing the restaurant is!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16000744; Sentiment_Subjectivity (from 0 to 1): 0.526488095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ox tail heaven on Fridays. One of the gems of the Times Square area-- and there aren't many.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Our server was really nice, but they totally burned my husband's french toast.  They just put the burnt side down as if nothing was wrong, which we had to ask them to exchange.  I was really excited to try their chocolate bread, but the bottom of the chocolate bread was completely burned and bitter.  Other dishes we ordered was decent, but nothing spectacular.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.087373737; Sentiment_Subjectivity (from 0 to 1): 0.593686869 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really great grilled cheese sandwiches. I got the turkey club and it was delicious. The place gets crowded around lunch but great spot to pick up a quick sandwich if you are grabbing an early or late lunch. I will be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.39047619; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cons: they dont' speak english all that well here. it's a little dirty Pros: everything else Just go. Dont' read any more reviews. You don't need to. See the 4.5 star rating? That's all you should need to see. Get out there and eat some dumplings.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.071875; 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: This stuff is so gross. It's that food that you feel bad for eating afterwards. Greasy soggy potatoes covered in warm mayonnaise. Ew, it's gross just to write it. I threw mine away after a couple bites. If you are a bum, then go here; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.025; Sentiment_Subjectivity (from 0 to 1): 0.316666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: SETUP: 10-day vacation in New York May 2011. CAST: Three die-hard foodies. RANK: 1ST!!! IF YOU READ A REVIEW - READ THIS ONE. Fantastic. Why? 1. Small, intimate 2. Locally owned 3. Service that garners a 20% tip. 4. BYOB - NO corking fee, and 5. FRENCH CUISINE Nothing short of perfection. THe owner is a local guy who loves food. Loves cooking. And he spreads that to his staff and - HIS FOOD. Now, real fast: THIS IS IMPORTANT - - **BYOB**  WINE. VODKA (and tonic). Whatever you please, because they do not serve alochol. One reviewer criticized La Sirene for this reason, but if you know this ahead of time, THIS ROCKS - because you get to bring your poison, and there's no corking fee. (It would be a drag if you weren't aware walking in at dinner time). AND... BRING CASH. They don't like credit cards. This keeps the prices down. WE have this deal between us when we eat. We almost always order different plates, and there's almost always a great dish and a less than grat dish. Someone get's jipped. But not tonight - all three dishes were stellar! I had the duck floating in a bowl of fava beans (sp?), various other veggies. Thick warm yummy. If you don't like duck - this duck will change your mind. My son had the sirloin and my wife had the pork tenderloin. Now - don't go there looking for these, because the menu changes - possibly weekly or daily. This is a local, passionate chef who is far more talented than many know. RUN (with your booze) TO THIS PLACE.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.10172138; Sentiment_Subjectivity (from 0 to 1): 0.481031145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 does a pissed off person who hasn't received their food at 11 pm...over an hour after they ordered get up to?  Yelp that this place sucks.  If the nachos aren't a slice of heaven I am going to effing lose it....how does it take an hour to make nachos. At 11pm. On a Wednesday.  You aren't that popular. Here are all the places you should try before ordering from here La Esquina Tacombi Taqueria Diana ... Or any of the other 500 places on seamless that make mexican-style food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.045; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely one of the best food trucks that I have had.  The main thing about food trucks is the price point, and then you are left thinking what kind of quality of food you could be getting for the price.   This is not your typical Chicken/Gyro Combo and rice truck/stand.  For $6 I got the Combo platter.  The chicken is not butchered like other street meat carts. The pieces of chicken were actually identifiable as chicken and not just scrap meat. You could taste the quality in the marinade as well. Next the judgement on the yogurt/cucumber sauce.  This is LEGIT sauce.  You can taste the freshness and quality of ingredients that went into making this sauce.  It's all about the tartness and the consistency that has me giving this place two thumbs up.  As with any sauce, it should not overpower or mask the flavor of the food, but provide and complimentary flavor enhancing profile to the main star of the show.  No complaints on the rice either.  This place is a must go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.017261905; Sentiment_Subjectivity (from 0 to 1): 0.506547619 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I could eat here at least 4 times a month and not get bored of the food. Been going here since one of my good friends told me they serve rabbit about 12 yrs ago. The lobster cantolloni was one of the first dishes that I tried here and it took me a while to get off that addiction. I loved everything else that was on the menu and one of the best things about the place was the owner. This guy has a strong Norther Italian accent and reads off all the daily specials as if you can understand one word. It's a riot! Anyway, try this place you wont regret it if your in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.253703704; Sentiment_Subjectivity (from 0 to 1): 0.462962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thought I went to Japan when I got in.  The environment was so Japanese.  The bites were so tiny and the drinks were good.  I enjoyed chit-chating with my friend while I was visiting New York in late August 2009.  Good to try.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.248051948; Sentiment_Subjectivity (from 0 to 1): 0.493506494 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best meal I've had in NYC so far! Great price for truly delicious, homemade dishes! The meatballs are moist and flavorful. The sauce just takes it to the top! My favorite part of the meal was the ice cream sandwich---oh! Such a delight---honey vanilla cookie and brown sugar ice cream. Everything about it was superb!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.646875; Sentiment_Subjectivity (from 0 to 1): 0.75625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BRUNCH: This is hands down the BEST neighborhood brunch restaurant in New York.  For quality, it's nearly as good as Sarabeth's or Dressler.  For atmosphere, it's better then old Annie's on the UES.  The restaurant is very cute with a great powder blue decor and star motif that makes the place feel very homey.  Coffee is served in random mugs (and is free while you wait for a table - which often takes 45-60 minutes on the weekends).   If you're into the generic workday egg & cheese, you'll love Penelope's weekender version, the Penny Egg Sandwich, complete with bacon, sausage, (or a surprisingly delicious soy alternative to each) and drizzle of pesto.  The Nutella French Toast is also not to be missed. DINNER: For dinner, there's no wait, the food is equally is a good as for brunch and with a slightly bigger selection.  They have good beers on tap and wines available, so it's perfect for a double date.  The staff is super friendly and not as busy as in the morning, so if you're in the mood for a chat, they're game.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.319968201; Sentiment_Subjectivity (from 0 to 1): 0.472596334 [/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: Vegetable dumplings are awesome. Really inexpensive but the space is really really tiny, but its good nonetheless.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm used to Amma, and this place was pretty good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5625; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is solid. Hole in the wall type place that lacks upscale furnishing but makes it up for cheap and delicious food. The menu has tons of items to choose from and the pictures on its walls definitely helps make your decision. - Roti Kani. Probably the weakest roti Kani we've had. Pancake was soggy and wasn't thin and crispy. - Hananiese chicken was decent but they ran out of white meat. Dark meat usually sucks since it's all bone and fat. - Chow Keo teo is a Malaysian Chinatown staple fried noodle with fish cakes, bean sprouts, shrimp and squid. This was good. - sizzling tofu was really good with minced meat, shrimp and some diced up veggies. Not sure what people are complaining about here but this was money.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.097435897; Sentiment_Subjectivity (from 0 to 1): 0.581196581 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 neighborhood staple for delicious and affordable brunch- love the french toast w/ berries and goat cheese omelette- as well as dinner.  Fantastic place for date night.  Try any of their fish dishes and get there before seven for the discount bottles of Argentinian/Chilean wine.   Just be forewarned that (most likely due to the hot-plate cooking) you will smell like ccs all day.  Could be good or bad depending on your taste.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.3075; Sentiment_Subjectivity (from 0 to 1): 0.639166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Long line up, crowded uncomfortable seating, slow service, messed up our order, had a pie delivered to our table and then was yelled at from across the room, "Don't eat that!". When our order did arrive it had a burnt crust with a soggy centre. And it was expensive.. We won't be back..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.285; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food and wine were excellent here, there was a nice ambience and the waitstaff were nice and attentive. I will definitely go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.52; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ramen noodle house is probably the best place I've eaten so far while I was in NYC. The pork belly buns are to die for and is a must when dining here and the ramen noodle dishes are just as amazing.  The line to get a seat can be a bit long but it's well worth it in my book.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.39; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, so the service is not good, the tables might not be clean, you have to wait along time to get in even at the new location, and then you have to wait along time once you get a table, and this place has the makings of being an over hyped tourist attraction, as you see all the guidebooks firmly in hand by those in line.  However...and I'm the first guy to call overrated on something...this is the best pizza I've ever had in any city anywhere in the world.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.243290043; Sentiment_Subjectivity (from 0 to 1): 0.46969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: overrated!!!; 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: It was my girlfriend's Bday and after all the hype I was convinced this was the spot for dinner. Well, Not Really! Once we got there my first thought was where are we going to sit? The place was overcrowded and loud! They brought us to our table that needed to be moved out so one of us could sit. During dinner I couldn't help to notice it was an older french speaking crowd which was fine, but I expected a bit more diversity downtown. The food was ok but not sure I will spend that kind of money to go there again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.189393939; Sentiment_Subjectivity (from 0 to 1): 0.486868687 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very spot is located in the edge of Brooklyn, a mysterious secret café hidden in Greenpoint. European style decor, old books, a piano, wine racks, and marble tables form the special atmosphere at night! Its latte has a distinguishable flavor, so characteristic! I'd extremely recommend this café!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.006646825; Sentiment_Subjectivity (from 0 to 1): 0.507936508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cannot say enough good things about Fonda. This is an absolute favorite brunch spot of mine. The Food: Always top notch. Notables include the nopales or chilaquiles con huevos. The guac is a great starter too. I am yet to have a bad brunch entree there. The Drinks: The selection will have you screaming "Ay Papi!" The Guava mimosas and the Rosalita are two favorites. Don't underestimate the traditional margarita because those guys are STRONG. Seriously, this is a brunch place I always remember enjoying and rarely remember leaving.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.227083333; Sentiment_Subjectivity (from 0 to 1): 0.713888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love ramen. I love Minca ramen. The Shoyu with the thick noodles on a rainy night? Absolute perfection! Everything in the bowl is delicious: The noodles, the pork, the broth, the other unnamed tidbits that are just delicious. They have tasty tea, kimchee and pork dumplings too, but you don't come here for that. You come for the ramen. I come down on the 1 train from the next to last stop before the Bronx to savor this ramen. It's THAT freakin' good!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.322222222; Sentiment_Subjectivity (from 0 to 1): 0.536868687 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brisket I've ever had. Pickles were also incredible. Coleslaw was nothing to write home about but the brisket alone makes this place 100% worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.733333333; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was my first of many visits to Bergen Hill. It's quaint and stylish without trying to hard. We sat at the far end of the bar so we could be a part of Chef Andrew Dambrosi world as he and his chefs prepared our courses. We started with burrata and tuna toast, followed by the lobster toast. Both were fantastic. Over the next hour we tore through, hamachi, salmon with fresh roe and tzatziki, calamari "pasta" ( Andrew  will explain the technique to you) Octopus with a silky onion purée, and this last dish.... Langoustine with egg carpaccio, fried shoe string potato nest and a wild ramp horseradish vinaigrette. Superb!!!! It is everything you love about breakfast  coupled with a killer culinary technique. I annoyed my wife all night talking about that dish. To full for desert, but we will be back. My advice, sit at the bar, ask questions about the dishes and watch Andrew and co. do their work. Creative, tasty, and leaves you wanting more!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.246296296; Sentiment_Subjectivity (from 0 to 1): 0.538425926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was looking for a place to have dinner the other night. My usual haunt, Vesta, was just too far away from the subway and every time I go I'd end up eating waaay too much food. It's all good except for the fact that the morning after, when I'm getting dressed, I feel like sausage being stuffed into a too tight casing. Anyways after perusing Yelp I decided on Sweet Afton, since I wanted a burger. I arrived there with my bf and were promptly seated. Try to get here early if you want a table, because it gets crowded after after 7pm. I ordered a cheeseburger and fries and my bf ordered the sausage rolls. We got a couple of beers to go with our food. When my burger arrived, I realized to my displeasure that it's about 6 inches high. I dislike very thick burgers for a couple of reasons. First of all, I'm 5'1" and I discriminate against anything tall and skinny, even if it's food. On a more pertinent food note,  I like to have everything in the burger in one bite, including the bun, the patty and all the dressings. You can't really do that when your burger is half a foot high. Second of all, thick burgers are just really messy to eat. You have to disassemble it or risk smearing juices and over your face. Other than that, the burger actually tasted pretty good. The meat was very juicy and of good quality. The dressings were very fresh. My beef with this place, other than the thickness of the burger, is the price. My bf had the Irish sausage bc he wasn't that hungry. He got 3 pieces of hors d'oeuvres sized sausages wrapped in flakey pastry for $7. They tasted alright, but still $7 for that is a ripoff. Also, you have to pay for fries! That's ok if my burger cost $7 or below, but if my cheeseburger costs $10, I expect it to come with some effing fries on the side. I had to shell out an extra $4 for something that usually comes with the burger! I mean I'd get them if they were like some amazing kick ass fries, but honestly they were kinda soggy. The ambiance and the service is pretty good. I really enjoyed kicking back and having a beer after a long day of work and getting out of the cold. They have a pretty extensive beer and drinks menu - although the night we visited they didn't have Chimay beer, which is kinda lame. FYI, to the guys out there, the Irish waitresses here are pretty cute. Girls, don't bring your bfs here unless you want to feel deficient for not having an endearing accent.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.105724206; Sentiment_Subjectivity (from 0 to 1): 0.509459325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 now visited Maysville twice - once for dinner and once at the bar and for appetizers. The dinner was quite a while ago (delicious but not memorable it seems...) so this review is for the bar visit which is fresh in my mind from a week or two ago. What was definitely memorable and what gave me the idea to come back here was the amazinggggg whiskey cocktails. When someone asks me what I want to drink at a bar or when any cocktail menu is handed to me the last spirit I'll look at is usually whiskey. When I came here for dinner and saw only whiskey cocktail specials I was a little disappointed but tried one nonetheless and was VERY pleasantly surprised. The second time I visited we took a seat at the bar and the very friendly bartender immediately handed us a cocktail and dinner menu. The décor inside is very spacious, with horse-related art surrounding the walls and a warm, amber tone throughout. Unfortunately there doesn't seem to be a cocktail menu existing online and my memory is that of a fish but I ended up trying 3 different cocktails (2 on the menu and one concoction of the bartender himself) and while they were all different (one light and refreshing with ginger beer, one spicy, and one more on the sweet side) I enjoyed all of them - and, yes, the whiskey taste that came with it! For food we ordered the fried oysters and the arctic char tartare  - the fried oysters came on a neatly cut thin wooden board. They were small (as things get when they are fried) but great with each bite. The Arctic Char tartare was also good but portions were on the smaller side again. The plate was sprinkled with what looked like shaved horseradish and we quickly finished both plates. What actually was the stand out of the food portion was the little muffins they gave prior to the dishes. Buttery deliciousness! Reminded me of how happy I am to get Red Lobster Biscuits before the actual entrees... but you know.. at a higher price point. I don't know if I would come back here for the food at these portions and prices, but I would definitely come here for the drinks! Great for a couple of friends looking for a place for a chat or also great for a casual date!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.158234127; Sentiment_Subjectivity (from 0 to 1): 0.546031746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not a bistro at all. It's a totally AWESOME dive bar in Chelsea where the burgers are cheesy, the drinks are ice cold, and the patrons, loud. We adored this place. And it was a welcome respite after the interesting but confusing experience that was Sleep No More. They only have a few things on the menu. But what they have is excellent! Burgers, chicken sandwiches, and fries, OH MY! Nary a dry patty or wilted lettuce in sight. The service is spot-on and the music is classic rock. Happy to have found it!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126666667; Sentiment_Subjectivity (from 0 to 1): 0.727777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was excited to try this restaurant while visiting NYC with my boyfriend since I've been craving farm-fresh food. I knew I'd picked a good restaurant when we got the crudite platter and it came with an awesome array of veggies (some that I'd never seen before...tiny cucumber-like gourds that look like tiny watermelons!), dips, and Amy's Bread (which in itself is delicious). I had the Mac & Cheese and he had the burger with kimchee. I wanted to finish all of the Mac & Cheese but had no room left in my belly for it all. The best part about this restaurant was the decor and ambience...even though we were practically sitting at the table next to us (and eavesdropped on the two girls conversing about their dating woes and future plans to invite each other to each's respective offices to scope for dates), the restaurant provided nice protection from the bustling people walking through the market while somehow seeming pretty quiet and intimate.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.512222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Almond - Go here maybe once every two weeks. I'm biased and live on the street but anyway its a great spot for dinner or brunch. The menu changes every season so you can always find something new!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.401704545; Sentiment_Subjectivity (from 0 to 1): 0.576136364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can not wait to go back to Habana Outpost when it is warm.  I went on a cold cold sunday with a couple of friends.  I had the special of the day with was spicy shrimp with avocado and beans and rice.  It was super yummy.  I also had a frozen drink which was yummy.  My friends had a burger and a veggie burger which was also yummy.  my only gripes are that they are cash only and the bar people seemed...well...high.  Which i usually dont mind- but we were in a bit of a rush.   Next time i really want to try the corn! bonus stars for the crazy eco friendly artwork on the walls and cool bathrooms. They also have a great outside area...which i wasnt able to try because it was freezing...but next time i'm in town its a must do!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.084193122; Sentiment_Subjectivity (from 0 to 1): 0.54239418 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hot, Steamy Flamenco dance show...waiter make lady happy...food make me happy...win; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place. Good barbecue style place where you go up to the counter and order the meat you want by the pound and pick your sides. Once you have a plate full of amazing homemade sausage, brisket, rib etc join one of the long tables and grab a beer from the bar, they have a good selection. Perfect place for eating before hitting the surrounding bars (there's loads). Place looks great too. Try their beans as a side, baked beans in spicy tomato sauce with big chunks of brisket in it, I'd go there just to stock up on them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.511111111; Sentiment_Subjectivity (from 0 to 1): 0.611111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh yeah! Even though we are from Texas we all agreed this was the best southern food we had ever had! Chicken was perfect waffles were thick and fluffy, batter was just right not too thick not too greasy, my wife had the special chicken and dumplings and basically left nothing but homes on the plate. If you are up in Harlem this is definitely  the place to eat!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.053571429; Sentiment_Subjectivity (from 0 to 1): 0.513095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow!!! I was amazed by the chicken wafco! As I write this review, I am thinking again about how it tastes and just imagining it makes my mouth is water.  I want more!!!  It is similar to the beloved chicken n waffle combo from the south but with a unique, healthier taste because the waffle is light n crispy. I have never had anything like it!! I was very impressed with the overall vibe of the place.  The owners made me feel right at home with the other customers in the restaurant as we all talked about the neighborhood and food and life.  I could tell that Nosh Borough is a labor of love for these people and the quality of the food and the environment of the restaurant clearly reinforced that in my mind.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.234470663; Sentiment_Subjectivity (from 0 to 1): 0.671003401 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went to ABC Kitchen on Monday night for a friend's birthday. Walked around the block to make sure I wasnt going in to ABC furniture. =P Walked in at around 9:30pm and the place was still bustling. A good sign for a Monday night!  We waited at the bar for a table of 5. Known for its sustainability and local-inspired food, the ambiance gave a sense of country modern chic if you will. The space was primarily white with touches of wood and glass and the shinny stuff. The organization of space made it pleasant, simple and a good canvas to our dinner. Some of my friends knew a couple of waiters and chefs... always a big plus! We ordered appetizers to share and got a complimentary one from Chef Dan. Awesome. My favorite was the flower tempura with honey. The foie was good too. Foie....mmmmm ...drool My party ordered the steak, cheeseburgers and pork. I went with the slow cooked fish. As sharing is caring, we all had a chance to taste all of our dishes. Quite delicious. The portions were just right and the flavors were carefully thought out and simple. Everything was harmonious. The food was definately the star of this white space. I can't wait to come again for a second round of food goodness.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.309702381; Sentiment_Subjectivity (from 0 to 1): 0.530277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good chicken and waffles for brunch. The cocktail could have more alcohol. Cute place in Greenwich village!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35875; Sentiment_Subjectivity (from 0 to 1): 0.8075 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Catfish tacos were a special kind of amazing (if a little pricey).  However, their extended Monday Happy Hour and the combination of self-same Fish Tacos makes for a very nice start to the week.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.491607143; Sentiment_Subjectivity (from 0 to 1): 0.811904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good service, prices are decent, and...bacon in my face! A group of friends came in here Saturday afternoon. We arrived around 5:45 and were told that we could have a table until 9:45pm. I've never had a restaurant tell me that I could have a table for four hours and while I thought it was funny, they weren't joking and said that they have a lot of groups who linger after finishing their meal. Note that they didn't say this in a mean way; they were just informing us. Anyhoo - good service, the bacon flight is probably the best thing to order, their red sangria is very, very good and their house made potato chips are tasty!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.443229167; Sentiment_Subjectivity (from 0 to 1): 0.579270833 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WTF? When I heard everyone RAVE about this cart, I just thought to myself, "It's freakin cart food - how good could it possibly be?!" Boy was I blown away! So THIS is the good cart! The one near MoMA!!! I was visiting NYC in the dead of winter in January, and this Halal plate just warmed up my soul one night. The line that seems miles and miles long will explain how good this food is. Their hot sauce is oh so hot!!! Price is very good for all the delicious food you get. All of the curious people passing by asking "Is it really that good?" make it taste even MORE delicious!!! I know that this place doesn't need another review, but I just wanted to add my love for this cart. I can't wait to visit NYC again. Reading and hearing about how good this place is does no justice. You have to try it to really understand!!! That is how I came to appreciate it. Yummmm!!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.443429688; Sentiment_Subjectivity (from 0 to 1): 0.659 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place, especially in the summer when they open the front up for all to see how you snagged one of the tables.   Fantastic deal: $12 for 6 oysters of your choice + a beer.  Perfectly lubricates you for some of the freshest seafood in town.  The oyster list is phenomenal. Don't forget their charcuterie platter. Generous portions, wonderful sliced meats and they make their own MUSTARD.  Who does that? If you want to play it safe, get their linguine with clam sauce.  It is absolutely delicious.  Thickened slightly with bread crumbs the sauce is clam-y and rich, not the oily salt water that you usually find at other places. Get anything with their seasoned rice. You know all those chef memoir books where they talk on and on about the armies of great soldiers back in the kitchen from all over South America?  Well they took their grandmother's rice recipe and churn it out along with whatever is fresh that day.  I happily had it with enormous grilled prawns last time I went. Everyone knows - no dessert.  But the whiskey cake is buttery and moist. It makes for a great ending.  By the end of the night you'll have consumed enough beer, wine and salt anyway to have any appetite for anything too sugary anyway. Loses one star because they should let large groups (not enormous - 6-8 tops) make a reservation if they leave a credit card. It's totally selfish but I really want to host a dinner here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.282057823; Sentiment_Subjectivity (from 0 to 1): 0.603103741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked into this place by myself one evening to check out the menu. I immediately felt comfortable sitting alone at the long oak bar (a trait I think is hard to find) and decided to get a bite to eat. The bartender was super friendly and I noticed there were alot of "single" diners at the bar too. I had the rose by the glass and a spicy rock shrimp salad that was out of the world. A simple elegant dining experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.199470899; Sentiment_Subjectivity (from 0 to 1): 0.603306878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mixed feelings about kefi.  They have cornered the market on the uws as far as decent Greek dinning goes and as a result it is crazy packed by 7ish. What I'm not so thrilled about is how they keep packing people in.  If you make a reservation you usually end up still waiting if it's a popular night.  My bf got a reservation for valentines day and wanted it to be special... Well we had to wait for like 20 minutes and were then seated downstairs next to the kitchen with the door flying in our face every second.  The food is always really tasty but seems like good recipes that are often executed with just way too much butter.  I would love to order this food to go and have it in private.  I do recommend the octopus appetizer.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.160863095; Sentiment_Subjectivity (from 0 to 1): 0.450818452 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't really speak for the food here, but the one thing that stuck out was the extremely slow service. I came here as part of a big group with a reservation. Since I had eaten beforehand, I only ordered a bowl of garlic fries to nibble on. They were an expensive $8 bowl of fries that wasn't garlic-y. Other had ordered a mix of appetizers and mains. The appetizers came out maybe 20 mins after we ordered, but the mains came out at least an hour after they were ordered. They had a relatively small menu, so you'd think they'd be able to deliver the limited types of food quicker. I wouldn't come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.076948052; Sentiment_Subjectivity (from 0 to 1): 0.394805195 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: sandwich military .. the best of manhattan, very good I'll be back for sure to try others; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.462; Sentiment_Subjectivity (from 0 to 1): 0.413777778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been craving Mexican food lately and Casa Enrique did not disappoint at all. Sure, we ate on Cinco de Mayo and the restaurant was packed. My gf and I ordered spicy guacamole which was tasty but not spicy at all. I had a delicious salsa verde chicken enchilada. The salsa verde was tangy and smoky. The chicken was juicy and the enchilada shell was tasty and not soggy at all. My gf had the snapper entree that was a special that night. The skin was perfectly crispy and grilled just right. The fish had a lot of juices overflowing in the bowl. I loved her dish as well. Since it was Cinco I had a resposoda margarita on the rocks that was strong and really wonderful.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.31468254; Sentiment_Subjectivity (from 0 to 1): 0.75244709 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pylos might be the prettiest restaurant in NY. It's certainly one of the most unique with the cool pylos on the roof(Pylos=the greek clay pots) and the cool lighting and seating. I honestly just enjoyed sitting in the restaurant and chatting (though you are kind of squished if you're at a table for two. Since my Girlfriend's favorite food is Greek, I decided to come here for a late dinner. Heavily hyped, I can see why people like Pylos so much(there was a line even at 8:30pm on a Sunday) we had 4 appetizers, though really, 3 was probably enough. To begin with the pita bread they bring out is fantastic, and the bean and olive oil dip they brought out was addictive. I got quite sated eating just these two things. In terms of dishes we had the: anginares moussaka- artichoke heart moussaka, the artichoke was cooked well and I did like it, I just don't think I could eat a whole portion. It's very cheesey and the bechamel is very heavy. The 3 greek cheeses really overwhelm you and unless you really like cheese, I'm not sure you'll love it. diane's meatballs - Fantastic meatballs that are full of flavor. They look dry, but are actually quite juicy. (they also aren't balls...more like fat disks haha) You should definitely get these, they won't taste like any other meatballs you've had. Grilled Octopus - The classic greek appetizer, it came out well, though not fantastic. You really get the grilled flavor, however, you can't really taste anything else. In terms of consistency, it's slightly chewier and less succulent than the best octopus I've had. I did like the capers though. Grilled sea scallop salad - I actually really liked this dish. The scallops were the best thing I had that night and they were incredibly flavorful and very memorable. The arugula tasted great and the dressing was very good. I don't typically like salads, but I loved this one. All in all, Pylos has some great hits, and a few misses. However, if you like greek food and you love pretty restaurants, you've got to come to Pylos; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.25309973; Sentiment_Subjectivity (from 0 to 1): 0.515383348 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fetta Sau is a very good representation of Northern / dry rub BBQ.   Love the hole in the wall conversion of the old garage.  Walk down the narrow driveway with a few picnic tables and pray that the line is not a mile long.   Now wait....and wait.....and wait for your turn at the counter.   During the wait pray that the items you plan on ordering do not get erased from the board.  Finally you get your turn......like all others have said you order by the pound so you can order as little or as much as you want.   We had been eating all day so stuck with the Berkshire pork shoulder and the Angus brisket.   Added an order of burnt end baked beans and rolls for a nice mid-day snack.   Food was very good.   Not a real heavy smoke to either protein, but an excellent, heavy (almost charcoal) bark.   Both were moist with the internal fat left and a nice caramelization  to the out side.  The dry rub is not overpowering as to leave the nuisance of the meat.   The table has two sauces.   The vinegar sauce is very acidic and does cut the richness of the fat.  The tomato based sauce is more on the sweet side then spice.   The beans are very meaty and the burnt end flavor comes thru strongly.   Overall:  I ate every last ounce and enjoyed each bit.  It was very good, but just a step under excellent.  Personally, I like a bit more smoke and spice to the dry rub.    Main Pro:  love the room and high quality of the food.  Cons:   price is high and the wait must be brutal when the line stretches to the street.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215277778; Sentiment_Subjectivity (from 0 to 1): 0.513303303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't expect too much in Times Square area. They have many choices but don't taste very well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.333333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We were lucky to get the last table that was propping up the door. I considered us lucky. Everyone else was being turned away. Make a reservation in this tiny tiny cozy tiny place. First, I need to say that the waiter, the only one working the front end, is so adorable. Super adorable. The food is flavorful and just perfect in the mouth. CASH ONLY. BYOB. Started with mushroom cigar and we had salmon and lamb chops. I thought the pan seared salmon was fresh and crispy and tender. The lamb chops were sweet and savory and tender. No dessert. We were very full for $60. I want to come back but I fear there will be no lucky table for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.209912281; Sentiment_Subjectivity (from 0 to 1): 0.66745614 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Five stars needs no further explanation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First of all, i'm deducting one star because the service was lacking considerably. However, the food was awesomeawesomeawesome! We ordered a small plate of wings, two burgers and a coke that totaled in $34 - not too bad for two people in park slope. I went here specifically for the wings and was not disappointed!  I braved the Hot wings and thought it was perfect.  This is a hotness that builds up over time!  The first few bites I was like, "oh this isn't too bad" but by the fourth one my lips were actually on fire.  In a good way.  I am curious to try the hotter next time... We both ordered burgers for our main meal and I was sure they wouldn't compare to the super delicious wings.  Boy was I wrong.  These are hands down the best burgers in brooklyn!  They are char grilled which means they're cooked exactly how you asked and have an amazing flavor!  All the normal toppings are included: tomato, lettuce, onions, jalapeno peppers, cheese, then carmelized onions and bacon are an extra charge.  The only negative thing I can say about the burgers is they are rather large and leave you feeling very full afterward.  But hey, it's a good value and seriously, these burgers are amazing. More about the service.  On a Saturday night around 8p, we were pleased with the barely 15 min wait to be seated.  But then it took almost that long to have our order taken.  People who ordered their food after us, got it before us. I had to hunt the waiter down to ask for more water.  But you know, I would only deduct half a star if I could.  The food was so tasty I can easily forgive some slight unattentiveness.   Go to Bonnie's!  Eat wings! Eat burgers! Be merry!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.165775742; Sentiment_Subjectivity (from 0 to 1): 0.539385382 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmm..I'm hungry just thinking about a burger from Bonnie's.  Sit at the bar and watch the cooks make your burgers with poise and elegance.  The juicy burgers are seasoned to perfection and come with yummy crispy fries.  The turkey burger is excellent as well.  If your heart can handle it, have the buffalo wings as a starter.  They also have some pretty good healthier fare, hummus and pita, and a great garden salad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.72 [/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: (FYI review based solely on take out experience) This is a really cool southern influenced restaurant. The fried chicken biscuit ($14) with mushroom gravy was wonderful. The chicken was juicy and well seasoned, the biscuit was soft, flaky and blended well with savory mushroom gravy. It comes with a side of cheese grits which was fantastic. For most people that would be enough food, but for review purposes ( or truthfully because I'm greedy) I ordered the black-eyed peas with country ham and bacon ($6) . They were really good but seasoned a little differently than I'm accustom to. I prefer the peas cooked softer and a little more savory, these seemed a bit sweet, probably  due to the sweetness of ham. While I didn't eat in, I was impressed by decor when picking up my order. It had a more hip vibe than usual UWS establishment. While I didn't drink (damn work) they have excellent beer selection and even offer beer float ( Left hand milk stout with vanilla ice cream). I'll be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218; Sentiment_Subjectivity (from 0 to 1): 0.531 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: tangentpursuit.com Here's how you have to do jacob's pickles: 1) Go an hour or two before you actually want to eat. There's always a wait and with good reason: it's awesome. Put down your name and party size - they'll text you with 5-10 minute grace period before your table is ready. 2) If you're with friends, head next door to E's bar. If you're on a date, go over to Fred's across the street. Grab a drink during your inevitable time spent waiting. 3) Get the text and head back to Jacob's. Be seated in a cozy, impeccably-decorated atmosphere. Marvel at the perfectly executed decor where craftsmen-style meets industrial warmth. Also, maybe go downstairs to the bathroom to wash your hands and wonder how they even make a joint bathroom space an inviting place to be. 4) ORDER THE APPLE PIE MOONSHINE. Just do it. I promise 5) Order the fried chicken or the shrimp bacon grits. Don't forget about the pickles, naturally. And if you're a deviled eggs person, definitely take advantage of those. It's hard to go wrong with the menu selection but I will say this: order the southern food. Stick to the basics. I'm sure everything is good at Jacob's, but their specalties are the BEST. Then, leave wondering how you spent so little $ for such a chic-energetic evening out with friends or loved ones. Plan to come back soon, knowing you've found a neighborhood favorite...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164049145; Sentiment_Subjectivity (from 0 to 1): 0.512286325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fabulous all the way around!  Delicious sparkling red wine?  Pizza with dried cherries?  Pizza with spicy honey?  Classic crust straight outta the wood burning oven?  Great atmosphere?  Charming host?  Yes to all of the above.  Beats Motorino hands downs.  Tied with Roberta's.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.351851852; Sentiment_Subjectivity (from 0 to 1): 0.557407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can I tell the difference between a 4 star and a five star restaurant you ask?  Sure I can.  And while I realize this is no Per Se or French Laundry, this restaurant gets five stars for that specific night, for that specific meal. My friends and I were in NYC for one of our bi-annual business trips, and it was dead in the chill of January.  Having lived in New York as a teenager, I've always wanted to go to Balthazar.  It was in the middle of Soho, and the epitome of glamour.  I'd walk by on the cobblestone street and look into the beautiful ambers and reds, watching the beautiful people drink their bottles of wine regaling to each other their fabulous stories.  I thought to myself, I'll never be Kate Moss, therefore I will never be able to get a table at Balthazar.   Well, these days, many years later, all the beautiful people have migrated to Balthazar's trendier sister Pastis, which is great news for me and my friends. Maybe it was all those years ago, but I was still really intimidated with my preconceived notions of how this place would be.  First good sign?  8:30 pm reservations on a Friday night?  Score.   So in we walked, the three of us, seeking a warm haven from the chilly wind, and warm we definitely found.  That has to be my only semi-gripe with the restaurant, was the thermostat.  Maybe the high temp was for all the ladies who prefer to wear their sparkly dresses underneath their cashmere coats, but I was wearing a turtleneck, so it was a bit of torture.  The warmth of the host stand that greeted us matched the balmy restaurant, so that was the next pleasant surprise.  Immediately, two hostesses took our coats as the third seated us immediately amidst the bustling dining room.  That was the next great surprise.  The restaurant was packed.  I know everyone is saying that it is now a tourist trap, but who cares?!  As long as everyone is lubricated, fed, and having a hell of a time, does it really matter?  And from the looks of it, there were more native New Yorkers than tourists that evening.   The waiter was perfectly kind and helpful.  When I told him it was my brother's birthday, there was nary an eyeroll.   To start, we had the warm goat cheese tart and the spinach and ricotta ravioli.  The tart was perfectly nutty and savory, whilst the ravioli was melt in your mouth perfect.  Collective eyes back to the head at the table. We all decided to share three entrees:  The barsteak, the moule frites, and the special for the evening, which I sadly can't recall (well, it was 7 months ago.)  I think my boyfriend said it best when he took a bite from his steak and said he couldn't believe he was eating such an amazing meal for a such incredible prices in NYC.   Two bottles of wine later, the evening concluded with a complimentary caramelized banana tart.  It was one of the best meals I've had so far in my life.  It was kind of what I imagined a meal at Balthazar to feel like.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.329773144; Sentiment_Subjectivity (from 0 to 1): 0.548257853 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review is for the cold ramen: mmm yea, idk whether to say im disappointed or i should've just gotten the chicken ramen.. maybe both.  all in all, it was just nothing special.  If you've had it before, then you've had it all.  it was definitely refreshing with the combo of cucumbers and cherry tomatos, but it doesn't carry the "it" factor like the original ramen does.  especially when it's 2 bucks more? DEFINITELY go with the chicken ramen.  this wont happen again, hot ramen ftw. don't get me wrong, i still love totto :) the rest about totto: food2wear.wordpress.com/…; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.004846939; Sentiment_Subjectivity (from 0 to 1): 0.808673469 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic food, the muscles were wonderful.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.95 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, the food is amazing....so why the 1 star? HORRIBLE SERVICE....I came here on a busy Sunday night, it took 1 full hour for our food to arrive and they even got my order wrong. One of my friend got his 20 minutes before everyone else and by the time ours came out he was finished with his dish, he waited as long as he could before his food got cold. At this point I was asking why it was taking soo damn long and the manager comes out and gave me a dumb answer......"Oh...its on line".  Whatever that means. After that our waitress avoided us at all costs, never came around to see if everything was ok, because obviously she knew it wasn't so we were left for dead. If you feel you must go there, try a weekday or off peak hours. Food-          4 stars Service-      0 stars; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.152083333; Sentiment_Subjectivity (from 0 to 1): 0.5375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really enjoy the food and atmosphere of this place. I've only had brunch type stuff the french toast was absolutely delicious! I've always received excellent friendly service and the drinks are always on point! This is a great place to go with the girls for brunch and they also have excellent happy hour prices. Give them a try...oh wait before I go THE EMPANADAS ARE DIVINE!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.629861111; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A steaming ramen kitchen with a few chairs, not enough, and many hungry mouths to feed.  Come join the merry ruckus of bowls and slurps and banter.   It's like a food truck you can sit inside.  People come and go.   I order the spicy basic with an extra egg.  I favor the wheat noodles.  The dumplings are great too but I  barely have room for half the ramen so I dont tend to order anything else.   If you come alone you can usually cut the line of couples waiting for a spot and squeeze yourself into one of the often empty third seats at a window counter or the kitchen counter.      You cant really have the blues when you've got your face over a nourishing steamy fragrant bowl of ramen at Minca.   At peak hours there is a wait.  With so few seats they need to be able to have a high turnover rate.  I try to be considerate and efficient about ordering and paying.  Bring cash.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.086222222; Sentiment_Subjectivity (from 0 to 1): 0.303777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love this restaurant!  The staff and the food are absolutely amazing. Tonight I had the Brussels sprouts and the marinated artichoke hearts from the antipasto bar - Jose is a wonderful server at the antipasto bar. However, I have been here at least 2 dozen times before and every time it's fantastic. Sergio and the GM Brandon spread their love throughout the restaurant!  To both the staff and the customers. I absolutely love their pizza, and tonight I had the 101 layer lasagna - truly amazing flavors. I really can't say enough about this restaurant!  Thanks so much for all you give to your customers - too much to add it all here!  Love Richard too even if he wasn't here tonight!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.394642857; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Caveat - I'm a vegetarian, so take that with a grain of salt, but had the fried eggplant sandwich there.  It was cold, oily and just mushy.  Prolly for the true deli cut eaters, a mecca, but not so much for vegetarians.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.016666667; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for drinks on Friday with a few coworkers. Place gets packed with a large, after work crowd.  So make a table reservation if you guys want a table to hang out at and grab some food & drinks.  We were lucky enough to nab a table, but as more of our friends showed up.. we gave up our table and moved over to the bar instead. Service is great at the bar and at the tables in the back.  We didn't have dinner, but we did order a few apps to pick at. Definitely get the short rib sliders. They are phenomenal.  As are the truffle fries.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177056277; Sentiment_Subjectivity (from 0 to 1): 0.41017316 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Warm and cozy environment, staff is lovely and best of all the food is excellent.  I live in Bushwick and went to check it out with my family and we loved it.  The coffee was awesome, pancakes were delicious and the huevos rancheros were tasty. They have a new Dinner menu coming soon so that will be a sure must try. Wish this place was closer to home but Sunset Park lucked out...either way we loved it and we are most definitely going back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.504848485; Sentiment_Subjectivity (from 0 to 1): 0.656228956 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 around 3:30 on a sat. The wait was about 20 min. We got a small pizza with sweet Italian sausage, mushrooms and homemade meatballs. Didn't really care for the sausage. The meatballs was good. Wish we had gotten the spinach instead of the sausage. I can't say that it's the best I've had...but it's on the list of my top pizza places.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.357142857; Sentiment_Subjectivity (from 0 to 1): 0.378571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty dope lunch spot if you're in the area. The $11 lunch combo is solid. Essentially there are 3 options with various combinations, but I usually get the sanzimen (sashimi, rice, tempura, soup, etc). The ambiance is pretty solid -- usually really bustling during lunch, but the noise isn't bad at all and I usually get seated quickly. The staff looks a bit overworked sometimes, but generally the service is pretty good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.05952381; Sentiment_Subjectivity (from 0 to 1): 0.497619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great spot in TriBeCa.  Very loud, but that's part of the appeal.  The food was spot on.  Wife and I split the miso glazed Salmon which was new to the menu and absolutely perfect.  Daughter got the orrichette pasta which was also excellent. The mixed green salad was divine in its simplicity, the mixed beet and aged goat cheese salad also top notch.   Service was great.  We told the waiter to take his time, which he did, and the pacing of the meal was perfect for us.  All too often the entree arrives moments after the salad is cleared but that wasn't the case here.  We wanted to enjoy ourselves in a relaxed manner and that's what we got.  It' s nice when they listen to diner's requests. If you are drinking, try the Aperol Sour.  A true European classic.  Our only reason for downgrading this restaurant is from the wine service.  We ordered a $100 bottle of Amarone, our favorite kind of wine, and it was served at room temperature.  Sorry folks, there's a price point, and in my mind it's way below $100, where you start keeping your wine at the proper storage and serving temp. Other than that, a great experience and will definitely return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.296462704; Sentiment_Subjectivity (from 0 to 1): 0.603700466 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 favorite of their locations. Although it is always busy so you have to wait outside and it's a little cramped, I prefer this to the open and formal midtown location. The food is always great, obviously get the soup buns. I love the beef and string beans, the shanghai flat noodles, the eggplant, the rice cake dishes, the octopus, the soups, and scallion pancakes are good. The prices are good, and portions are pretty big so I usually get a bunch of things to share at the table. I like how everyone sits together at round tables, sometimes with strangers, but I don't like how much they rush you because it is always busy. ALSO this is CASH ONLY. Very important to remember because sometimes that is such a hassle.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.185375; Sentiment_Subjectivity (from 0 to 1): 0.51375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rocks! Their Quinoa and Summer Vegetable salad is awesome - totally filling and refreshing. My partner always gets the Panko Chicken Tenders, and the quality of the meat is really good. And the garlic mashed potatoes - to die for! And their customer service is fantastic - I had to work out a delivery issue, and they were totally accommodating. I will certainly continue ordering delivery from them and go to the restaurant. The delivery biker was sweet too and because of their wonderful service I felt more than happy to give an extra big tip.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35994898; Sentiment_Subjectivity (from 0 to 1): 0.705102041 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here on sunny Saturday for brunch.  Waited around 10 minutes for outside seating.  The brunch is a good deal with entree, orange juice and coffee/tea. for $15 - cash only.  My husband loved his apple pancake -it was not overly sweet and tasted great with syrup.  The outer part of apple pancake is cripsy but inside is like apple pie -- yummy!  My omelette with spinach and ham was ok but the roasted potatoes and sauteed onion that came with the entree was soooo good.   Very cute neighborhood and outside seating is perfect for enjoying brunch on a sunny summer weekend, though the seats are a little bit cramp.  Service was a bit uneven; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.408035714; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everyone in our party really enjoyed their meal. The carbonara pasta, burgers, kale salad were all VERY good.  We went in the evening and I was hoping to have the donuts for dessert but they only make the whole donuts for breakfast/brunch.  They give each person a complimentary caramel donut hole though-it was decadent but not enough.  Service was spread very thin and we had to ask for several things by flagging down someone. Good atmosphere.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.193444444; Sentiment_Subjectivity (from 0 to 1): 0.576888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meh. Looking for my new Thai place and I don't think Pinto will do the trick. It wasn't bad, but it was not the usual wonderfulness that is great Thai food to me. My friend and I split the Chicken Lettuce wraps. They were flavorful, but were lacking something. I love when chicken lettuce wraps are served with pine nuts and think this could be a great addition. For entrees, we both got the PCU noodles with beef. I prefer this dish served with Chinese broccoli over baby bokchoy. The noodles were also less thick and shorter than usual. Overall, it was disappointing. But then again, how bad can noodles, egg and soy sauce taste? Ruay Thai--please open a West Village location!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.120643939; Sentiment_Subjectivity (from 0 to 1): 0.501846591 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 me this is the most authentic Thai restaurant on the island of Manhattan (Sripraphai still is my favorite in NYC).  I always compare Thai restaurants based on the paste used in my favorite dish Pad Prik Khing.  Pure Thai had almost had that perfect authentic flavor I was looking for.  If you ask for "medium spicy", it is VERY spicy for the American standard but everything is full of flavor.   I'm not however too crazy about the fact that they only have stools with the street food theme, but lunch prices are higher compared to others in the area, especially for its very small portion.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.224330357; Sentiment_Subjectivity (from 0 to 1): 0.641875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Ward III a few times.  Many years ago and it was great! I went again a few months ago and the crowd was obnoxious, the music was loud and I even had to send my drink back (say what? in a mixology bar?) I won't be going back.  The crowd they cannot help, but the music and drinks are a big no no; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.29375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best......... me sinto no rio de janeiro, no leblon comendo aqueles pasteizinhos maravilhosos do restaurante alvaro's, onde comemos os melhores pasteizinhos do mundo....   agora aqui em ny, neste maravilhoso resataurant malagueta. recomendo os pasteizinhos e a carne seca desfiada com aipin frito. e' tudo de bom e maravilhoso como tudo que e' servido la. e o atendimento e' nota 1000. para ficar melhor hoje, eles tem que ter pfc ,e eu poder assistir meu botafogo, jogar.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/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: Really good food. Had the brick chicken. The pesto mashed potatoes were the best part so damn good. Ambience is cool. My waiter sucked but every one else seemed to get good service. Highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.43; Sentiment_Subjectivity (from 0 to 1): 0.605714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent  is all I can say  a necessary stop when I'm in Astoria. Great food reasonable prices; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.8375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The corn is unbelievable.  Everything else is pretty good, but nothing spectacular. Oh... but the corn!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Square slices don't get better than this. If you don't fall in love the first time you have it then you shouldn't be living in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416666667; 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: So for weeks now I've been planning to bring my girlfriend to this place after reading great reviews and seeing it on TV.  All I have to say is that this place is completely overrated. Let's start off with the place itself.  It's your typical East Village place to eat.  Can be a little cramped inside, but we were fine.  It got a little loud in there with some bozos laughing it up at higher decibels so my gf and I kept our talking to a minimal and tried our best to make the best of it. So we ordered our food.  My gf ordered the spaghetti carbonara and I ordered their famous burger.  We then get our food. What!?  This is the burger?  This puny thing?  Guy was stuffing his face on his show.  I'm going to finish this in 3 bites.  Well maybe the taste will make up for its size.  Took a bite... Wow, what a charred mess.  The waitress said that it would be cooked medium.  This was very well done.  Guy had his with some pink in the middle.  I've had much much better burgers than this at Five Guys and they can even include the same toppings.  Who on earth did the owner pay to get everyone to say that this was the best burger in Manhattan?  What a major disappointment!!  At least the fries were great and the home made ketchup was awesome. So my gf starts eating her spaghetti.  "How's the food?" I said.  She replied, "It's good, just kind of spicy".  Spicy!?  Spaghetti carbonara spicy!?  What!?  Wait, let me try some.  What the hell, it's so spicy and over peppered.  Now we both don't like spicy food too much and this was the last dish we thought spiciness would be a factor in.  She finished half before getting full then I ate another quarter still being hungry from the burger. After that meal I was hoping to get that caramel donut that I kept seeing in pictures.  Wait what?  They don't have that for order during dinner.  What!?  Man, I really wanted to try it.  I was kind of hoping to order it, put candles on it, and sing Happy Birthday to my gf, but instead we got 2 free donut holes version of them.  Pretty much went with the theme of this restaurant, "Talk big, eat small" Luckily in the end it wasn't too expensive, but I would have rather paid more for a better meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.255910853; Sentiment_Subjectivity (from 0 to 1): 0.512015504 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I rarely ever give a review or even make a negative review. However, our recent experience at Perilla were so outrageously horrendous that I have to make some comments. A group of us made a reservation for a group of 8 people. They informed us they will charge $25 for each person that did not show up regardless any reasons whatsoever. Nevertheless, we arrived to the restaurant and it was quite dark in the restaurant. We had few individuals with vision impairments who needs more lightning. We asked the manager to kindly turn up the light. He blatantly refused....  I was appalled to hear someone say no to a human right... I was ready to leave, but the group of people convinced me to stay (and the restaurant would still charge $25...) So I stayed and ordered from the prix menu. $50 for 6 mussels, burnt tofu with a wet salad, and an apple turnover.  (pretty outrageous) It was unanimous among the group that we wouldn't come back for any reasons. It is very disappointing to see such uncivilized conduct in an upper-class restaurant. I do not foresee a bright future for this restaurant. :(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.101925466; Sentiment_Subjectivity (from 0 to 1): 0.587857143 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The flatbread was soggy and I got food poisoning after eating at this place. There was a mouse that ran across the floor of the restaurant  and when I told the waitress she didn't seem surprised and told me that they have been trying to get that mouse for months!? Buy a mouse trap- it's not that hard! Stay away from this establishment!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.165364583; Sentiment_Subjectivity (from 0 to 1): 0.720833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: PROS: - AKAMARU RAMEN: delicious broth and ramen. The ramen tastes totally different from the instant ramen you usually get. (get this with nitamago - boiled egg topping - really good) - HIRATA PORK BUNS: Delish! It was so juicy!! - GYOZA: very unique - it's a fried chicken wing that is stuffed with meat and vegetables. - LADY M MILLE CREPE CAKE - tasted sort of like Napoleon cake with it's crunchy layering. Comes with small pieces of strawberry and kiwi. In the picture of the dessert menu the strawberries looked bigger. I was expecting a whole strawberry not small tiny pieces. Overall this dessert is good. - Nice presentation of food - can order Kaedama (more noodles for just $2) - quick service and fast clean up - Nice Decor - Very Modern. Cool chairs that open on the side. (its sorta of like missing an left arm rest. CONS: - A little pricey. - the wait. (My friend made a reservation for 7:00pm but we still had to wait like 15 minutes.) - to reserve you have to go in person on the day of; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.201346154; Sentiment_Subjectivity (from 0 to 1): 0.548333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy SeaFire Smokes! What a fantastic place! My parents have never been to NYC and they wanted to stay around their hotel at 51st and Lexington. They wanted some seafood with classy ambiance. Was able to walk in and they accommodated us even without reservation. Price- Very reasonable. Not overpriced...just right Quality- Superb. We had salmon, bronzino and crab/lobster. All were great. Particularly, the crab and lobster were very succulent, which tells me that it wasn't really frozen. Quantity- Food is not huge, but it is heavy so I was full when I left and I consumed 16lbs of water and food in a day after fighting in a tournament. Atmosphere- Classy, white table cloths, nice lighting Staff- Just as good as the food. Lots of attention from our server, other servers and the Director of Operations. Great place to go for my parents. Great way to finish their adventure to New York.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.31698839; Sentiment_Subjectivity (from 0 to 1): 0.595617867 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: -thet sat us down at a table for 5 and we were 7 -one knew position # s even existed because they didnt place not one dish correctly when bringing the food out,""who order the steak entree medium?(yells the runner when bringing out the food ), as if it were a fast food place, or food truck" -someone order a drink , once again a new person brought it and had no clue who it was for i asked what it is he replied "i have no idea what this is " & then laughed . Nice ! Joke i missed it - drinks were brought out by a different server which didnt even known what he was bringing out so he picks up glass to try n c what it is .. I asked i got the johnny walker with red bull & and my friend the makers neat . This man had the nerves to try & sniff out which was which by almost diving his nose into it - unbelievable !!!!! - i order a Johnny blk with red-bull. Oh no more red bull? With out asking they substituted red bull with club soda !! (I hate club soda!! ) with out asking !!! - all of our drinks are half way done and one person in our party is still waiting for a coffee which when it finally arrived. Guess what it was lol ? It was a cappuccino ! - finally everyone entree is on the table but one steak dish arrived with just the steak and mix green salad no rice or bean (which by the way they wouldn't dare sub the rice for mash potatoes )   - the ""managers are walking around texting each other and not once did one approach the table or try to redeem the super service. - the place is nice the food here is quantity over quality but the appetizer where amazing ! Over all i wouldn't recommend this place to a friend its just over hyped.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.086168347; Sentiment_Subjectivity (from 0 to 1): 0.55484608 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good noodles.   Food:  4.5 stars Service:  4 stars Decor:  4 stars I would recommend going in as a pair, since they tend to seat groups of two fairly quickly at the communal tables.   There are more limited seating areas for larger groups, so be prepared to wait.  In the evenings, the average wait time is likely an hour+ for a group of four.   Ramen is fast food in Japan, so it's hard for me to stomach the wait and high prices, but the noodles are good, and that is what is most important.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.229249084; Sentiment_Subjectivity (from 0 to 1): 0.571117216 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really envy the owner of this place, he has got the best scam in the city going.  If you are from NYC do not go to this place.  Any neighborhood pizza place is a lot better than this.  Luckily we didn't wait on the line too long, but this has to be one of the biggest tourist traps around.  The pizza has almost no flavor, and is surprisingly bad.  Stay away!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.184722222; 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: This place is adorable! Its the perfect summer hang out spot. I go here to people watch and enjoy the beer and corn. The seating outside is cafeteria style, so you have to be on the prowl for an empty seat and will probably end up sitting next to random people. Although the corn is not ideal for trying to be cute because it gets everywhere, it's AMAZING. I've tried the tacos and they were lacking something and on top of that I really wished they'd add cheese! I only wish the margaritas were a bit larger for their price, but its a great vibe on a beautiful day!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2890625; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We have been here twice now for brunch and they are SO accommodating of children.  They are welcoming, easy-going and helpful with our toddler. We would recommend this to all families.  By the way, the food is great as well. So many choices and all delicious. A great neighborhood place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.775; 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: Hudson Clearwater is a real special place.  The food is fantastic, the drinks are delicious, and the place remains unpretentious.   I've gone several times and thoroughly enjoyed myself every time and everything I've tried off the menu has been fantastic.   Mark and the crew have done a great job with the place.  Although I did notice last time I went that cocktail prices had crept up to $13, which I thought was pretty steep (especially considering that the bar tender really was nothing special).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.370238095; Sentiment_Subjectivity (from 0 to 1): 0.662103175 [/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: Don't get too excited people, food is good but this place is SMALL as in tiny as in you have to step outside to change ur mind. Again food-wise it was good, at least my avocado/shrimp salad rocked. As for my wife...not so much. Med requested Burger came out raw. They fix it but not a great first impression for her. Did I mention THIS PLACE IS RIDICULOUSLY small?! You're practically bumping uglies with everyone around you. Food doesn't outweigh experience, sorry Ruby!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.01883321; Sentiment_Subjectivity (from 0 to 1): 0.495759369 [/INST] Spam</s>