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: Every star possible for this here joint. So good ... The flavor goes on and on. Legitimate Italian that hits the spot spot on.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything's great, it's just really crowded.  We went here for brunch. The bloody Mary's were good, but if you don't want meat, let them know. I asked for a "vegetarian Bloody Mary" and the bar tender laughed... Not sure why that was funny because it was what it was... Anyways the meal was good (but really unhealthy) and we ordered dicklebacks because it sounded funny..... Three shots of whiskey is not funny.  Then I went to the ASPCA and now I'm a cat mom... But yeah, nice place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.140384615; Sentiment_Subjectivity (from 0 to 1): 0.749145299 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the location.  It's a hidden gem on LES.  Not too mention this was a great day.  Started off with brunch here and hit up another location afterwards.... Brunch here was very good, I remember thinking I wish the menu had more choices but the food was good.  Drinks were pretty good as well and they had a few interesting choices.  I also remember wishing the crowd was more diverse but it wasn't. :(; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.353611111; Sentiment_Subjectivity (from 0 to 1): 0.605277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 there for lunch today.  We ordered for the table the twin lobster special, baked clams and spaghetti and meatball dish.  All were delicious.  The service was excellent.  The manager even gave each of my kids a scoop of ice cream in a cone on the way out when we told him we did not have time to stay for desert. The bill was on the high side, but I guess that is to be expected for being in Times Square and the large portions.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.438571429; Sentiment_Subjectivity (from 0 to 1): 0.656666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dinner was outstanding. We started with cocktails, they have some interesting cocktails which of course was extremely stiff.  Just the way we like it. My girlfriend and I decided to have 3 apps and 1 entree.   The butter poached lobster was excellent.  The duck bolognese and gnocchi was great, although it was heavily seasoned.  The foie gras was sublime and absolutely the star of the night. Our entree was the Vermont goat loin.  Much more tender and flavorful then I had expected.   The ambiance is reminiscent of a New England country home.  We felt that we were in New Hampshire at a bed and breakfast.  Its very cute and rustic feeling.  We definitely give Applewood a thumbs up, although we thought the appetizers were a bit expensive for their location.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.257229437; Sentiment_Subjectivity (from 0 to 1): 0.618939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you dont mind being a fatty, The food is very tasty. I used to love this place when i weighed 230. now that i weigh 180 i dont go near it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.425 [/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: Cheap and delicious! It's a small hole in the wall place and they were written up in NY Times back in January 2009 for their soup (nytimes.com/2009/01/07/d…). The name says it all! If you're in the neighborhood check them out. Here's what I recommend (my menu is old so I can't guarantee these prices): Roti Canai/$2.25 Singapore Kari Laksa/$5.75 Beef Rendang/$11.95 Coconut Rice/$1.50 Crispy Seafood Egg Noodles/$6.25 (lots of seafood & noodles!!!); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2690625; Sentiment_Subjectivity (from 0 to 1): 0.46 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: maybe it's because i'm used to going to the wreck room. maybe it's because i'm used to paying too much for things i don't really enjoy. maybe it's because i was elated due to the green bay packers' super bowl victory. but i loved the narrows. friendly people, tasty drinks. the set up is a bit strange, but i can forgive them for that. yay!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.202604167; Sentiment_Subjectivity (from 0 to 1): 0.436458333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pio Pio is amazing. I went for my birthday dinner with a group of about 10 and it was perfect! The food was so tasty and my friends now say they want to have their birthday dinner there. One downside is that it could get pretty noisy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6375; Sentiment_Subjectivity (from 0 to 1): 0.966666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been ordering here for years.... I literally mean since I was 11 I'm 23 now ..it's going down the service is bad for delivery ..the delivery guy takes so long ..my food was cold at least 3 times ..the Spanish guy who answers the phone is rude when he answers ...I remember when Toms was timely and on point..the food is meh nothing spectacular ...NOTHiNg at all I can never figure out why the line is always so long ..The pancakes are too thick and I've been sent half cooked bacon ..and sometimes they forget bacon for my bacon cheeseburgers ..why do I bother ordering from here anymore ...this place isn't he same as when I was a kid ..TOMs needs better management !!!!!! Don't believe the hype ...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.095337302; Sentiment_Subjectivity (from 0 to 1): 0.472123016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My wife is reviewing this restaurant This is the second time I've been here.  A friend and I went here for dinner on a Friday night around 8:30.  We waited about 10-15 minutes before being seated in the back garden.  The restaurant has a cozy feeling and the garden dining is secluded.  We enjoyed a bottle of wine, shared salads (mozzarella and tomato / tuna salad) and for entrees I had the raviolli with ricotta and asparagus and she had fusilli pasta with a cream sauce and sausage.  Everything was delicious and reasonably priced.  This is a great neighborhood find to catch up with a friend without feeling the need to get dressed to the nines, while still feeling classy and casual.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211111111; Sentiment_Subjectivity (from 0 to 1): 0.618518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wasn't quite sure on how to rate this place as I have only had the experience twice and the one was positive and last night was not too pleasant. I was so excited to see this place move up into the neighborhood as I had really enjoyed it in Chelsea. I don't recall what was here before, but they truly transformed the place. The tiled floor is gorgeous and I love the 'intimate' lighting. They play a bit on this underground cellar lounge theme that works over very well. Their associates dress a bit over the top carnival like at times to just add to the experience. This one woman had this little bowler cap on and I wanted it of course! The first time I came here it was for take out and for 9.50 it was about 3 dollars cheaper then my place across the street that I usually go to. The food was of a good portion and I was able to save half of it for dinner the previous evening. Last night however, Tee & I came in under the rain and lightning little to our knowledge that a storm was a brewing inside. We sat down and our waitress was not very friendly and never broke a smile until after we signed for our check. We started off with a curry puff - so delicious! She had this Thai dish with shrimp and these poor little shrimps were buried into the rice, with their tails - kind of gross. My Thai basil dish with chicken started off good until I over turned a piece of the meat and discovered that it was nowhere near done. They sent it back to the kitchen and apologized but not credit was made to our bill which I found a little unsettling. I give it a mixed review because I hope this is not typical of the service. However, the stand offish service is sadly probably typical. The kitchen is new so they're allowed some hiccups at the start gun.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.123966043; Sentiment_Subjectivity (from 0 to 1): 0.516351496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 energy in the place is just perfect for me. Drinks are very reasonable, food quality is good, ambience is nice. This will be my favorite place in Astoria.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.612; Sentiment_Subjectivity (from 0 to 1): 0.876 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't really even need to add this since everyone knows how good this place is.  But I did have the special ball last night which was Buffalo Chicken with Bleu Cheese dressing and Frank's red hot and want to brag so I am posting. And also I have been only twice but a cautionary tale for first timers - the first time I went I waited 2 hours on the weekend (however they do take your cell and call you when ready so can't complain too much) - but I went this time right after work at 5 and sat down without any wait.  Just something to keep in mind.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138378685; Sentiment_Subjectivity (from 0 to 1): 0.459240363 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 second visit and the sushi and sashimi are just incredible! The only negative point is that they make it complicated to book a table. You have to call, get a reservation number, then call again... a bit irritating. Still the best sushi place ever. Watch out... They do not accept TIPS!!!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.114285714; Sentiment_Subjectivity (from 0 to 1): 0.628571429 [/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: Truly one of the best breakfast plates I've ever enjoyed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; 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: Some dishes are pretty Good! Especially fried fish cake!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food not fancy but just like mamma cooked on sunday.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here after a long hiatus with a friend the other day, and I still love it. We beat the crowd by coming a bit earlier, so when we arrived there was no wait and our dishes came rather fast. When we left, there was already a line going up the stairs. We had the beef tongue, agedashi tofu, the yakitori set A, teriyaki squid, and wasabi shumai. I enjoyed everything, especially the beef and the squid. The wasabi shumai was strong, as I bit into it the wasabi shot up my nose. I like that actually but not too many times. My friend, however, was not a fan. The beef tongue was cooked just right, and it was slightly salty so would have gone great with a drink (beer) and/or rice. The yakitori and squid were also cooked and flavored to perfection, I could eat two plates of the squid.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.205527211; Sentiment_Subjectivity (from 0 to 1): 0.497193878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dragged my bf here because i wanted him to try this place out. I had already tried their stuff here a month before with my bestie...and i knew he would love this place. And he did! We ordered the unagi don special ( they raised their price to $13 and changed the hours for the special from 7 to 6). Each bite of rice and the unagi was very flavorful. I could eat one all by myself hehe. Also ordered the six small appetizers. The apps vary from time to time so it will be different. I was actually surprised that i finished it because there were some stuff that i usually wouldn't eat like squash and this other veggie thing that i usually wouldn't touch if my mom cooked them. But i don't know...maybe they put some crack to make it so delicious lol And of course...you can't go to Cha-An without ordering dessert =] ordered the sesame creme brulee - very creamy and lots of black sesame flavor, and the strawberry pie - more like a strawberry on a puff tart but it was still very delicious and wonderfully plated. Definitely come back again and try the the green tea roll with sake ice cream!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254648526; Sentiment_Subjectivity (from 0 to 1): 0.550056689 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a friend's birthday in a large group. The server was attentive and suggested a few order of biscuits and pickles since that was their specialty. The biscuits were to die for and came with honey butter, cinnamon butter, and three different types of jams (strawberry, orange, and apricot). I could've eaten the whole thing of honey butter. The pickles were good and I'm not a big fan of pickles. There were pickles beets, tomatoes, carrots, and the usual type of pickles. But it is their specialty so one must try when you're there. For my entree I ordered the honey pickle buttermilk fried chicken. It was quite delicious and there were a lot of pickles. The chicken was honey sweet and contrasted well with the pickles. Also came with a side of cheese grits that was quite lovely as well. It was a pretty good experience but towards the end you could feel the anxiety of the staff. They were really trying to get us to leave and we were doing our best to figure out the bill. There were literally 4 ppl just watching us figure out the bill and I heard the manager use some swear words to the other staff so that was the only part that I thought was a little unpleasant. Would def return again for more!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.160308442; Sentiment_Subjectivity (from 0 to 1): 0.595616883 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, well trained staff. Great drinks-in pitchers! Huge and tasty portions. Free plaintain chips to start. Love the arepas, love the ropa veija (?) Always rock solid, and great for groups.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/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: You can't not like Tia Pol. That would be like not liking cute puppies and well-behaved children. It is, after all, the antithesis of Chelsea's Olive Garden (and man, did Chelsea need to redeem itself after building that disaster. No wonder the windows are tinted.) It's small, the service is friendly, the decor is rustic, the wines are reasonable and the food is great. The lamb skewers make me want to go home and eat cumin with a spoon. The ham and cheese paquetitos are little gooey packs of happiness. The chorizo with sherry is a bit oily, but resolution breakingly delicious. (Hey if you are going to break your resolutions... don't do it with Wendy's.) The chorizo with chocolate is good, though if you are going to mix meat and chocolate, I prefer the chocolate ribs at Kittichai about 10 fold. The fried garbanzos are a bit bland, but pretty much everything else is killer. And did I say small? Yeah, portions can be a little on the Kate Moss side, which is not bad in and of itself, but if you are actually hungry, be prepared to spend some money. But I'd always prefer 1 meal at Tia Pol over 20 at Olive Garden.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252083333; Sentiment_Subjectivity (from 0 to 1): 0.578125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: RIPPED OFF...  NEVER AGAIN!   OK, so I've been here for dinner before, and had a nice time.  It's not cheap, and they squeeze 3 or 4 of you into a 2 person table to get the biggest bang for their buck...  fine.  That's cool.   I take 2 friends here on Tuesday and am told it's a 15 minute wait.  No worries. I step out to take a call, and step back in and am told I'm at the bottom of the list again...  I missed my spot.  Hmm... OK.   Another 15 minutes.   We finally get seated on our tiny table and order some drinks.  My friend and I order the pinot , but they're out of it.  The waiter suggests the sav blanc.  Fine, that sounds reasonable...  so we get it, and end up having 4 glasses.   All going well until we get our bill... whoops, the sav blanc was $18.50 a glass??  Almost DOUBLE the pinot grigio.   I mean WTF?  It was a completely ordinary 'house white' quality and they're charging $18.50 a glass???!  90% of their meals are under that price.   I can get some nice French champagne around the corner at Fedora for $14, but there I get the ambiance and other bs that comes with the price.  And I'm happy to pay.     So in summary, love the food and the service is OK, given how busy they are, but I HATE feeling ripped off.    If you're going to suggest an alternative to something because YOU ran out of the first choice, TELL YOUR CUSTOMER IT'S ABOUT DOUBLE THE PRICE YOU F***ER.   So despite living on Bleecker, on principal. I'm NEVER coming back here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13132716; Sentiment_Subjectivity (from 0 to 1): 0.505401235 [/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's good, it's fresh. It has a long line, but the line moves very fast. DO NOT pay crazy amounts of cash for the special sauces, unless you like crazy expensive sauces, in which case go ahead. They have many free toppings and sauces, some illogically free compared with their expensive counterparts. Without all the additional fees, the fries are quite reasonably priced. And they cook them right there while you wait. So, you know, AWESOME!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.14352381; Sentiment_Subjectivity (from 0 to 1): 0.685809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For the past few years, my life mission has been to find authentic Puertorrican food. I was born and raised in PR, and moved to the States 4 years ago. Call me sentimental... but my body craves this food. I found Casa Adela after an Internet search. It's close enough to my place, so I decided to give it a try. -Food: Spot on. Adela herself was there in the kitchen. We had Rotisserie chicken (juicy and delicious) with tostones. Surprisingly, they had "Mayo-Ketchup"... My fellow Island Puertorricans surely understand. Also, had mofongo. I've had better mofongo, but this was good. It's consistency was more like Dominican mangú, rather than mofongo (which I can understand given that this place is more of a fusion of both cuisines). White rice and red beans were delicious. -Service: This is where it's lacking. I called, and asked for take out. They said they usually don't provide this service, but they would make an exception for me (was it because I was ordering in Spanish? Not sure.) This took me by surprise, as both Yelp and Menupages state that they DO have take out. Anywhooo.... They took my order (which included Octopus salad) and phone number. They said it would take 15 min. Got there about 20 min later. Food was not ready, and to my surprise (again), no octopus. Should they have called or let me know before? I ordered an avocado salad instead, which was just that... lettuce with an avocado on top. After an additional 15 min wait, my food was ready (although I almost left without tostones if I hadn't checked the containers). They guy that took my order, made up for all of this by telling me to ask for him if I ever want take out again. -Overall: Puertorrican food rules, and this place delivers (not literally apparently). Would come back, but only with patience on my side.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.169642857; Sentiment_Subjectivity (from 0 to 1): 0.465277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Too expensive for the quality. The food is just ok.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I cannot get enough of their Viet sandwiches here! It's one of those quick pick me up fast food and it is done well and delicious! Tho the prices are jacking up higher now it's $5 for a regular Viet sandwhich. Also I had their number 1 noodle before which was great as well especially during the colder seasons! The soup base was good and so was the noodle and meats!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.265833333; Sentiment_Subjectivity (from 0 to 1): 0.652692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite Bahn mi thus far. I love the BBQ pork but beware it is heavy handed on the ginger. They stuff the sandwich with filling and I couldn't be happier. The pickled veggies have just the right amount of tang and gives it that crunch. And for the price your wallet and tummy couldn't be happier. 4.50 for a sandwich.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.237142857; Sentiment_Subjectivity (from 0 to 1): 0.727142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has amazing brunch items including a modified banh mi. Besides being an organic restaurant in the middle of Chelsea Market, this place also hosts special events once in a while. At the James Beard CNO event, they served a good mac and cheese plate. I also just went to the crawfish boil for 2012 which runs only on Sundays at 6:30pm with reservations only until July(?). The entire restaurant was booked, including a table outside the restaurant. This is a must-try for people who have never tried it or who will not be going near a crawfish boil any time soon. If you are going to a crawfish boil somewhere down South, feel free to skip this. While the crawfish was generally good, it lacked the spiciness and the corn that is most often found in Southern Louisiana style boils. Also this boil lacks bibs, so I had to engineer my own in the beginning until they were gracious enough to offer me a napkin. The "all you can eat" advertised was really more "all you can eat in the hour while we boil the crawfish" so the $50 (including tax and gratuity) per person for crawfish is a bit on the pricey side for the amount of crawfish you actually get to consume, assuming that you get a good portion of the buckets.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.263241437; Sentiment_Subjectivity (from 0 to 1): 0.528174603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 Stars I came here two days ago after reading the yelp reviews. I've lived in Italy and so when I came to New York I was itching to find a restaurant that serves authentic Italian food, a feat that has alluded me in my native Washington, DC. When I first stepped into Gaia I was skeptical. The space is small and all but hidden as an underground, hole-in-the-wall cafe. My hopes peaked when I read "No substitutions," the type of snobbery that I welcome because it indicates an investment in the quality of the food. We ordered an antipasti for 4 (arugula salad with prosciutto, mortadella and soppressata with some italian cheeses), the arugula salad with tomatoes, pesto, and parmigiano and another arugula salad with mushrooms, tomatoes and spring onions, a lasagna with pesto, a specialty pasta (orecchiette with a chili tomato sauce and olives), another specialty pasta (squid ink spaghetti with crab meat and tuna) and finally some meatballs with potatoes. Despite the ridiculous amount of food, we finished every bite. The flavors of each dish were well balanced and, in true italian style, showcasing the freshness of the ingredients. I was impressed by the affordability of the menu. My only criticism was that the service was a bit brusque (although the server warmed when she noticed our genuine appreciation for the food), it's BYOB, and closed on Sundays so we couldn't go back. Highly recommend. The next time I'm in New York, I'll be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.108305785; Sentiment_Subjectivity (from 0 to 1): 0.450716253 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 no, I don't know what happened :( I was underwhelmed by everything. My sister and I shared the saganaki, meatballs, grape leaves, lamb shank, and potato wedges. Nothing was particularly spectacular, or, for that matter, really something I would want to eat again. I'm not sure what happened from the last time I came here but I am crossing this one off my list.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.04; 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: Ramen-Ya, located in the West Village near all of the sex shops and explicits, it is a hole in the wall for sure. Like many other ramen shops around, the interior is extremely small and crammed. But its never about the size of the location that determines the quality of the food. We came in a little before 9PM and the place is filled up, but not overly packed. We were given a 30-minute wait so we walked around the West Village, went to BGIC and came back in time for our seats to open up. Oddly, they have bar seats but there is no action or any cooks actually working out there. I was pretty hungry so we ordered a couple plates of gyoza and I had the Shio Spicy Ramen. Gyoza came first and sadly, they were alright. It needed salt and they were pretty expensive for six tiny dumplings. The ramen came next and I shit you not, it was pretty damn good. The broth was as spicy as the one I had at Minca, a good kick yet flavorful. But the focus of the bowl of noodles was the char siu/roast pork. It was exceptionally delicious, fairly the best tasting one I've had from all the ramen shops I've been to. Outstanding food, alright service (forgot our water), but I will definitely come back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.17658046; Sentiment_Subjectivity (from 0 to 1): 0.552490421 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the only place I get my Banh Mi sandwiches in NYC. The new location is spacious, clean, and new (duh!). I love that the jewelry store is still located in the front of the store. I also love that prices haven't increased and food quality is still up there. Smaller portions? FO-GETTA-BOUT-IT! Not here--the sandwiches are still jam packed with fresh ingredients and big enough for me to eat it as lunch and dinner. This place is a keeper! First timers, go for the #1 Pork Banh Mi. You will be the happiest piggy after chowing down the sandwich. The #2 Chicken Banh Mi is also delicious. So is the Vegetarian option. Heck, bring some friends and try them all! Afterward, I suggest grabbing bubble tea at Ten Ren or Teariffic to wash everything down. Cheap lunch, anyone?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.127960157; Sentiment_Subjectivity (from 0 to 1): 0.53167789 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first trip to SoHo, and my friend and I were walking very quickly, in the cold, towards the subway station to catch the 6 train uptown.  We were thinking about going back to Les Halles, but instead I caught a glimpse of a familiar red awning.  How could it be familiar?  It was the same bright red color with simple lettering that spelled out a name I know well - Balthazar.  I only knew Balthazar through the famous cookbook, and I was excited to find that we could get a table in this bustling, crowded restaurant - and it was a Wednesday night, mind you.  The giant mirrors on the walls combined with a votive candle on every table filled the restaurant with a warm glow.  We were seated at the tables for two - small cafe tables that are very very close together, lined up against a banquette - a common feature of NYC restaurants. My friend and I decided to share a cheeseburger and fries and the pork belly.  As we waited for our food, a waiter brought out an enormous tower of seafood on ice to the couple seated next to us.  The woman commented that it was an "embarrassing" display, and her companion turned to us and offered us some.  (He was dead serious.)  My friend and I laughed and politely declined, but chatted with the couple while the server brought us the half bottle of wine we ordered (note:  Balthazar only carries French wines), which was really delicious and medium bodied. Our food came, the cheeseburger (cooked medium) accompanied by a giant pile of some really good fries (though Brasserie Les Halles is a bit better), the pork belly (the top part a glistening deep brown, was so succulent and moist that it really did not require a knife to eat) was set atop a bed of these incredible mustard lentils.  I could have had an extra order of these lentils.  We shared our fries with the couple next to us, and they shared some really fresh oysters. The entire meal was perfect, even without dessert.  The service was impeccable - servers should be like the stagehands during a play - you barely notice them, but they make everything run smoothly.  Balthazar was a show for which I'd definitely request an encore presentation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.209296296; Sentiment_Subjectivity (from 0 to 1): 0.518084656 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 solid find. We waited a bit to get seated, but the hostess and servers were all very gracious. Though, i could have used more water refills. They have a lot of veggie-friendly options. We ordered the tower of couscous, the trout salad, the gorgonzola with walnuts and honey, and the avocado toast. Everything was very tasty and solid. The couscous was improved by the shot of lemon juice and the harissa, which I need to learn how to make.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18; Sentiment_Subjectivity (from 0 to 1): 0.26 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally made it after 4 near break up fights with my boyfriend who was outraged by and refused to stick around for the 1 hour to hour and a half wait times. We went on a Friday afternoon hoping for a shorter wait-- no chance. 45 minutes. He (thankfully) took a deep breath and agreed to wait....and boy oh boy was it worth it. I ordered the blueberry pancakes and he had the cuban sandwich. The blueberry pancakes are the best I have had and I'm not much of a pancake lover. Luscious, slightly sweet, slightly tangy blueberries infused and covering a stack of three fluffy pancakes, served with a side of maple butter. OH MY GOSH! First bite and you can hear the hymn of angels singing in your head, "Yaaaaaaaaaahhhhhhhhhh!" Cuban was tasty with homemade slaw and potato chips. If it wasn't for the wait, I'd give Clinton Street Baking Co. 5 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.039930556; Sentiment_Subjectivity (from 0 to 1): 0.426388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They got good stuff there. Anything Italian you name it... Pasta, pizza, coffee, gelato, fresh meats and ingredients etc. You have to make a reservation for restaurants here and your table maybe ready in 30 - 90 minutes :( patience is a key to get some seating here. I gave 3 stars because it's too crowded. People is everywhere you look. You can find it fun when you are in a good mood. Otherwise, it is too hectic.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.18125; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The tapas here were all GREAT. The red sangria added to the meal, making them earn a 5 instead of a 4 from me. Very cute inside and each tapas came out better than other tapas places I've been to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.365; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 upscale brunch place with a variety of omelettes, benedicts, etc. Drinks are included (but not until noon on Sundays). The hot chocolate was delicious too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.683333333; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel like this place has a lot to offer, really. But it just didn't live up to the expectations I had after reading my fellow yelpers reviews. Made reservations on open-table about an hour before we went -- easy, peasy, no problem. Seated in the dim, middle seating area (between the bar and the back room.) We were a party of four, my bf and his parents. Unfortunately we were put in a booth between 2 booths of large parties (6 each) and the noise level on either side of us was crazy. I'm not blaming the resto for this though, they can't help having loud patrons. But the back room seemed more intimate and quieter and was mostly open upon our arrival -- just something to think about! Now this, this is where they lose their first star, our server... So, he was nice enough. But he was awkward -- seemed really nervous (maybe he was new? Yes, I'll say that but I'm doubtful) and just really couldn't get the job done. He didn't welcome us to the restaurant, ask if we'd been there before, tell us what was good -- though he did tell us the specials which he described each as "really good." He took our drink order and disappeared, for the first time. When he returned, he plopped my bf's dad's Jack on the rocks in front of him (in a stemless wine glass, weird but whatevs) that contained approx. a shot of Jack and about 12 pieces of ice. And poured our beers (from cans) into glasses. I guess it was his first time pouring a beer too or he just didn't care because I got about 2 ounces of beer and the rest foam and had to wait for it to go down to pour the rest in. Thanks, I'll do it myself. Moving on, we ordered our food and an app. The app came out in reasonable time and was a special (salmon with a crem freche (sp -- im too lazy to look it up) sesame schmear on the side and some other stuff) and it was damn tasty! Then our meals came and... here's where the other star is lost. Portions, oddly inconsistent. I got like a crapload of chicked (half-chicken I think it was), my bf's dad's hangar steak portion was average, his mom's risotto size was average and then his shrimp and grits was teeny, tiny, think appetizer portion. Come on, grits cost like $.50. Now, don't yell at me because of the American obesity epidemic which says that we American's overeat and our portions are all out of whack because I don't disagree at all, however, this portion was ridiculous. And I felt bad, because he ended up eating some of my chicken and his mom's risotto and then we even considered stopping at Shake Shack on the way home. Oh and back to my chicken, they were supposed to come with bacon mashed potatoes or something like that and what I got was a legit schmear of mashed potatoes that did not taste like bacon nor could it even be considered a side. Value, not good. Beer selection, meh. Food quality, great (I forgot that... the food was actually mighty tasty.) Atmosphere, nice. Waitstaff, inattentive at-best. Would I go back? Nope, not until I've exhausted all my other possibilities in the hood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.023880823; Sentiment_Subjectivity (from 0 to 1): 0.527706308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Roast chicken for two is so fantastic!!!! The tuna tartare is fabulous, too. I like that they allow me to bring in my wine from my wine cellar. Miriam, the waitress,& Jason, the waiter, are so ultra caring. A favorite haunt for me when in Downtown NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.319140625; Sentiment_Subjectivity (from 0 to 1): 0.9625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My life improved so much after I ate the truffle burger. The first time I tried it was at Googa Mooga in Brooklyn, before they set up shop in the west village. I seriously have not had anything better in my mouth before (and I've had a lot of things in there...heh). Finally when they opened in NYC, I was beyond ecstatic. I went around 7:30 PM and waited about 30 mins. Our food came out promptly, no issues. Thr burgers were beautiful. We had the truffle burger and the classic, with the truffle fries on the side. My favorite burger is still truffle, but the classic was not bad. Fries are a MUST. They come with three dipping sauces and they are all yum as hell. BEST burger in NYC. Yeah. I said it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.331818182; Sentiment_Subjectivity (from 0 to 1): 0.545454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite places to go to for brunch! Have tried the Israeli Breakfast, Burekas, Mediterranean Crispy Dough, they're all good. For first timers you can't go wrong with the Israeli Breakfast, it's healthy and super tasty!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.331944444; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went back last night for dinner after a Traif-less season and as always was very satisfied with the quality. I am looking forward to going back yet again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.266666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite NY experiences. dirt cheap, fast, and super tasty. PLUS - probably the only place in Chinatown that provide service with a smile. The lamb noodle soups are not that great.. get the Big Tray Chicken!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.198148148; Sentiment_Subjectivity (from 0 to 1): 0.651851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Prices are nice and cheap for the portion sizes. We usually come here for their dumplings and sesame pancakes. 6 sesame pancakes and a container of dumplings came to about $10, not too shabby... If I could, I would live on their: Cabbage & pork dumplings(in my opinion were better than Joe's Shanghai) Sesame pancakes with veg(cilantro, cucumber, carrot) Sesame pancakes with peking duck(if you've never tried peking duck, adding it to your bucket list is a must!!) What I liked was that the food still tasted good after reheating and as leftovers for the next day. For first timers, as you come in there is a menu taped onto the counter for you. So, basically you order at the counter first, wait for it to be ready and grab it to go or take it to a table and eat in. The place is pretty cool, as you're waiting you could look over the counter and watch them make the food. They have huge woks on the stove you wouldn't believe! Also their tiny bathroom is funky, and no I don't mean the smell. The walls are completely covered in graffiti it's almost scary. So check that out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218339646; Sentiment_Subjectivity (from 0 to 1): 0.591898148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 it!!!  Great people, generous portions, very tasty food, great price!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.744140625; Sentiment_Subjectivity (from 0 to 1): 0.6 [/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 used to absolutely LOVE this place. Great place to drink/pregame. Beers will cost 2-4 bucks, a bottle of soju around 7-8.  That is pennies for NYC.  Their buffet bar  is nice as you have plenty of choices to choose from.  Overall, the price you pay for the food is a grade A.  The price you pay for the drinks is a grade A.  It's cheap and edible.   However for a place that is cheap and great, they people who work here at cheap too! People watch you like hawks. I remember waiting in the long line during lunch to check out. I was hungry. So I decided to just grab a piece of chicken from my tray and eat. As I got to the cashier, the cashier scolded me and said youc an't do that. I aws tempted to just leave my food and go back to work. Seriously, one bite and youre going to give me crap? come on. with that I give you 3 stars and honestly woorijib, after that experience it's hard to want to go back. You hurt my feelings.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1578125; Sentiment_Subjectivity (from 0 to 1): 0.591145833 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cart in the city.  Hands down.  Get a combo platter.  It's fun to go drunk, and you'll meet interesting characters (or run into friends, as has happened to me) in line - which is always long but moves fast.  I rarely do anything else that far uptown, but we never have qualms about taking the train up just to go here. It's good sober, too, by the way - if you're in the mood for cart food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.226767677; Sentiment_Subjectivity (from 0 to 1): 0.544444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: DRUNK FOOD FOR ROUGHLY $5! Score!! Pommes Frites (NY) vs. Frjtz (SF) UH DUH. Pommes Frites wins by a long shot. Frjtz in SF SUCKS compared to PF! C'mon now... POUTINE POUTINE POUTINE!!! This was my first tasting of POUTINE (belgain fries, chicken gravy, and aged cheddar). YUM! The aged/cured cheddar had an odd resemblance to tofu (appearance) but I think I would have preferred this without the cheese. It wasn't melty like I wanted it to be. You can get all sizes, small, medium, large. The fries are sooooooo criisspppyyyy and it comes with 1 dipping sauce. Additional ones are $1. I was able to try MANGO CHUTNEY, CURRY KETCHUP W/ MAYO & ONIONS, and POMEGRANATE TERIYAKI. As weird as the first and last ones sound, I definitely recommend them ALL. I would load up on a few sauces and trust me, the weird ones are probably the best tasting ones.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.057386444; Sentiment_Subjectivity (from 0 to 1): 0.475566893 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: chicken and waffles grits dessert go here; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.6; 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: Really airy open low key but big flavor brunch spot! The staff was very accommodating, friendly and efficient. Love the relaxed vibe. Sunday brunch was amazing, blue fish cakes, grits, quesadillas, French toast you name it they have it. Good for groups, and worth the wait. Sunday farmers market outside when your done enjoying brunch, overall the perfect Sunday brunch spot ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256944444; Sentiment_Subjectivity (from 0 to 1): 0.436111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with a friend for lunch for the firs time. I had the chicken roll and the beef one. The chicken was really good, the beef was too mushi for me. I would definitely come back there. The price is also pretty good - 2 rolls for 8.5$; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.064285714; Sentiment_Subjectivity (from 0 to 1): 0.657142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Halal indeed...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; 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: I eat at Sanford a few times a week as my office is close by.  The menu is extremely diverse and very reasonably priced for the quality of food and drink you receive.  Amazingly it does not get boring.  You can literally eat here all the time and not run out of options.  It is like visiting a different country or restaurant with every separate dish. The bar is also top notch with a huge variety of beers and cocktails. Highly recommended!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.070555556; Sentiment_Subjectivity (from 0 to 1): 0.702222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hahaha I was a skeptic. Sushi without fish. Let's be honest. WHAAAAAAA?! but this is the real deal. I got La Fiesta roll and it was wonderfully crunchy and tangy Definitely go if you have the chance. You won't be disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.641666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After just getting back from Barcelona I planned a friend's birthday dinner here, a little bit selfishly since I was really craving some patatas bravas! With 5 people we were able to get a bunch of dishes... my faves being the patatas bravas, shrimp in garlic/olive oil (make sure to dip the bread in the sauce, so good!), veal tongue (tasted like foie gras it was so tender and yummy), crispy fish with lemon, and steamed mussels (this was a special). We also got the croquettes, potato egg and onion omelet and the deviled eggs. Those were good but nothing to really write home about. I was sad they were out of the pimientos (green peppers with sea salt) since those are my fave but with everything else being as good as it was, I'll let it slide :) Also, since the place is pretty small, it's not the best for groups. We were lucky and made an early reservation for their only table that seats a larger party and it would seat 6-7 max.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220379819; Sentiment_Subjectivity (from 0 to 1): 0.591364324 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Song. Its a few blocks from my place, so its become my go-to thai spot. I usually get take out, but I've eaten in several times. The wait can be upwards of 45 min on a prime friday or saturday, especially with a large party, but you can sit at the bar while you wait.  The food comes out fast and is consistently good and ALWAYS cheap. Don't expect the best service, we usually have a bunch of random people taking care of us rather than one set waiter, but i've never had to wait an egregiously long time for my dish or drink. CASH ONLY!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126020408; Sentiment_Subjectivity (from 0 to 1): 0.480612245 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really miss this place! One of my favorite places in NY to eat.  I came here around midnight and there was barely a line.  Maybe cause it was raining but still.  THIS IS A MUST IF YOU ARE IN NY.  Make sure you get the right truck.   6 dollars gets you a bowl of heaven.  You get so much food for such a small price.  I'm coming back for you guys in a week!!! PS I think they put crack in their sauce....; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.163571429; Sentiment_Subjectivity (from 0 to 1): 0.482460317 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came to Mighty Quinn's on a Saturday in September with a few friends. I ordered brisket and a few sides. After reading reviews here, I'm hitting myself for not ordering by the pound and getting sides separately, sounds like a better deal. The brisket was pretty tasty, and the beer selection was decent. I appreciated the outdoor patio (there are a ton of seats outside and in, so you probably won't have trouble finding a place to fit a couple folks). I'd be back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.11969697; Sentiment_Subjectivity (from 0 to 1): 0.365151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hey soco !!! love love love the red velvet waffle and chicken miss you guys have to stop by soon ...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.18; Sentiment_Subjectivity (from 0 to 1): 0.55 [/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 went here last night for a special occasion. We had a promotion for a prix fixe from Blackboard Eats. I am not much of a bourbon drinker, but I started off with a bourbon-based cocktail that also had iced tea, mint and I think lime. It was delicious. A perfect accompaniment to the wild arugula and roasted beet salad. Then we got the shrimp and grits, which made me wanna slap my mama, they were so divine. Buttery, nutty, and smokey. We also had the mole sausage, which was served over a roasted corn salad with crispy bacon chunks and some sort of mild white cheese. That was paired with a dark beer that picked up the spices of the mole. I was approaching a food coma at that point. But what really put me over the edge was the salted caramel ice cream. Nice and salty-sweet. And to end....a devil's kick Jim Beam. Smokey whiskey that picked up all the lingering caramel flavors in my mouth. A special occasion made special-er...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.256972789; Sentiment_Subjectivity (from 0 to 1): 0.422108844 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Intimate ambiance with a unique farm table style two sided bar. Good looking Italian staff, cured meat hanging from the walls, a good wine list and a mean Negroni, which our bartender served with a brief history of the cocktail.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2375; Sentiment_Subjectivity (from 0 to 1): 0.545833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: one of the best and most simplest food places you can go to... simple simple simple... healthy healthy healthy... great tasting!!!.... the whole organic chicken always hits the spot!!... always fresh and tender ... the fries are ALWAYS on point!!... the whole grain mac and cheese is ALWAYS on point!!.... the vegetables of the day are ALWAYS on point!!...  the staff is great... and there is no waiter service... so u order, sit and eat... real simple but great food!!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.376220703; Sentiment_Subjectivity (from 0 to 1): 0.525446429 [/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: went here with my girlfriend and oh God. so good. I would highly highly recommend stopping in here. It's a stand and eat place, but don't be a wuss about it. The food is mucho dank. Tell the cashier it's your first time and ask what they recommend.  it's in chelsae market too so you can go walk around after. Get some gelato or something. I will be back... for sure.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.322; Sentiment_Subjectivity (from 0 to 1): 0.472444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fantastic choice for happy hour (until 10pm)! Cheap, delicious lychee martinis and awesome appetizers. Especially great for a first stop on a girl's night out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.730357143; Sentiment_Subjectivity (from 0 to 1): 0.847619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a Christmas party and it was great (though I didn't have to pay for anything and my boss was extremely generous). Drinks were good and the  food was excellent. We had steak, sliders, oysters, some kind of cauliflower casserole, jicama salad, charcuterie plate, creamed spinach just to name some of the plates. Everything was amazing and I stuffed myself to the gills. I have been dreaming of the food ever since... We had our party in the bar area, so not sure how regular dining is but I will be back to check it out for sure.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3825; Sentiment_Subjectivity (from 0 to 1): 0.700470085 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch on a Sunday when it's not too hard to get a table and could not have left happier.  We started with the rabbit crostini and the bread was perfectly toasted, I definitely didn't need any of the rabbit but it just made everything that much better.   For a pasta we got the gramigna and wow, when you take a bite, an explosion of flavor just happens in your mouth...you just have to try it for yourself.  Also got the patate as a side and that impressed as well.   When every dish I had is spot on, that's how you pull five stars.  I strongly recommend this spot and am really looking forward to coming back for dinner!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.294166667; Sentiment_Subjectivity (from 0 to 1): 0.5475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 definitely one of those hidden places you probably wouldn't know of unless someone brought you there or unless you lived around the area. Definitley worth a try - noodles here are really good!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.252083333; Sentiment_Subjectivity (from 0 to 1): 0.383333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you stop by here i would recommend.... Umm... The iced tea. I was really excited to try this place, i love love love crab. I went with every intention of trying crab tacos but after reading the sign outside i decided to go with the crab roll. Unfortunately, that sign is a big liar. It was very average. actually the bun was really good ( better than the crab?). The crab roll was essentially super thinly shredded crab meat ( which reminded me of the type you can buy in a can at the supermarket which most people who enjoy crab would avoid because they know to go for the chunk meat you find in the actual seafood section) dumped on a roll with no filler or seasoning. I could understand going light on the mayo or using something creative to give it a little more texture but there was nothing. Supposedly there was some special butter sauce on it but if so there clearly wasn't enough to give it any flavor. I ate it anyway because i was starvingggg (the food took forever!) i also ordered potato and crab croquettes which i was not so fond of. On a positive note, the freshly brewed mint iced tea was very good! And the people next to us ordered crab legs which looked great and made me wish i had ordered something else. I doubt i would go back, if i did it would be to try the tacos which i probably should have done in the first place. It makes me sad to write this review when i had such high hopes!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.21697724; Sentiment_Subjectivity (from 0 to 1): 0.519400498 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bar devoted to bacon? Already you've got half of America interested in what you're selling. Which is why I finally decided to make a visit, roping in a few friends with me. Between the four of us, I figured we could tear into a chunk of the menu. But there are more options then you'd think, and we barely made a dent. Beers are reasonably priced, grilled cheese is good and bacon mac n cheese is awesome. Flight wasn't worth it and Brussel sprouts rock. Worth the visit to bells kitchen!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.273484848; 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: Cheap and very filling big bowls of food. The wontons here are very good as a lot of people pointed out, though I wasn't blown away. Get the stewed beef with anything (my friend got it with dry noodles, though I imagine it's very good in soup with wontons too)--it's very tender and absolutely delicious. I tried Shanghai noodles with wontons, though I think Cantonese egg noodles go better with them. My only complaint is that the service is horrible. The waiters ignore you a lot of the time, even when you talk directly to them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.219487179; Sentiment_Subjectivity (from 0 to 1): 0.589230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tasty & fresh but I was left wondering why the chef used so much salt on the steak. It was cooked just right but all the salt left my tongue with a tingly sensation not in a good way.   Pleasant atmosphere and very nice & helpful waitstaff.  Don't sit too close to the entrance, it was as hot as the summer evening outside minus the breeze. I'll give it a second go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262420635; Sentiment_Subjectivity (from 0 to 1): 0.400198413 [/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: Exactly what is says, comfort food. Great food, nice service, and customer baby pictures on the wall. Look for mine, I'm surrounded by monsters. Byob policy great place to chill. Love the old movies playing in the background. Glad I live close.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.460795455; Sentiment_Subjectivity (from 0 to 1): 0.63125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was good!  My party ordered the steamed pork buns, seafood soup noodle, and wonton noodle soup.  While the seafood soup noodle is one of the pricier soup noodles, it came with LOTS of fresh seafood, so it was worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.491666667; Sentiment_Subjectivity (from 0 to 1): 0.4 [/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: Stopped by for dinner on a Saturday night--great atmosphere, ok food. Deserves 3.5 stars. I ordered one of the plates (good portion size, good quality meat, but a little bland) and the plantain donuts (oily, weird aftertaste). I would definitely recommend this place for a dinner with friends. The vibe is really chill and cozy. We stayed for over 2 hours and didn't feel rushed by the waitstaff. The chill vibe also comes with its downsides, though: it was hard getting our waitress' attention, and she never came to refill water. To be honest, I wasn't quite sure she even noticed us. The menu is almost identical to the neighboring Caracas Arepa Bar's. I would choose Caracas over Guayoyo on the basis of food quality, but if you're looking for a similar yet more comfortable/spacious dining experience, Guayoyo wouldn't be a bad choice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.110277778; Sentiment_Subjectivity (from 0 to 1): 0.62537037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Highly recommend this place food was excellent. We had the lamb sand which and chicken pasta both were fresh and the prices were awesome between 9-16$ per meal; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.372; Sentiment_Subjectivity (from 0 to 1): 0.798 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Restaurant week goers know that 9 times out of 10 you get shafted. It is always with some trepidation that you turn to the last page of the menu praying that you will see an option other than grilled chicken. Yet for some reason, we continue to try it out with the hope that one dinner will be worth the $35 deal. As it turns out, ilili (did I spell that right?) is the holy grail of restoweek dinners. SO MUCH FOOD. So much GOOD FOOD. Tapas. Between three of us we got baba ganoush, hummus, spicy shrimp, lamb sausage, sweet cheese, and salad. We could have gone straight to dessert from there... Dinner was braised meat, chicken with aioli, and risotto. Dessert: some sort of halvah candy bar, mini doughnuts, and clotted cream in rose water. It was just great. So much variety. The space was enormous by new york standards and would be an excellent option for larger parties. Yum. Its 9 AM and I'm already jonesin' for some shish kebabs.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.20276929; Sentiment_Subjectivity (from 0 to 1): 0.56364273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took me by surprise. It's like a garage, with long communal tables. The owner was there and greeted us with a handshake and a "Welcome to my restaurant." Nice gentleman. Our waitress was nice too, and gave is that days special. We (Tim & i) ordered 2 rolls, a salad, and one of the specials, which was fried chicken that you dip in some sauce (the sauce was good). Our rolls were very good, and they give you 3 different soy sauces ranging from regular, so-so spicy, and very spicy. The fried chicken wasn't my favorite, I wasn't really carving fried food, but it was good nonetheless. The salad was the best part of the whole experience. I have company coming into town today and I will be taking them there. It's a cash only sushi bar, but there's a conveniently located ATM machine right outside. My new, affordable, go-to sushi bar in the neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282820037; Sentiment_Subjectivity (from 0 to 1): 0.603267209 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not gonna lie, if you wave an array of flavored unlimited mimosas in my face, you could be serving spam on a stick, and I would still give you a good rating. (Let's be honest though, spam on a stick is winning too.) Pomegranate and passionfruit mimosas were great, and just having an option means you're less likely to get bored during your all-you-can-drink special. I loved the grilled octopus as an appetizer. But the portion was much too small to share--it came on a sauced-up bulb of fennel which was good--but really, I would have traded it for more octopus. The trio platter of hummus, ricotta cheese, and eggplant was a winner--they were all delicious and the pita came lightly seasoned.  Again, more bread would have been nice. Small portions here for sure, but I guess that just reinforces the old saying: eat less, drink more.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.303354978; Sentiment_Subjectivity (from 0 to 1): 0.570165945 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had fried chicken in SF, LA, NYC, NOLA & Philippines and this is now my #1 fried chicken spot. Crispy skin sealing in the flavored, juicy chicken meat without the greasiness of commercial fried chicken.  It reminded me of Jollibee fried chicken without all the batter. Eaten with a side of cheesy grits and sweet tea and I haven't stopped thinking about it.  If I lived in BK this would be my go to fried chicken spot.  I wish P&T could ship to SF. The place is small so go early. I went at 11am with the hubby & got a table right away.  By 11:30am the tables were all full and by 12pm patrons had to wait in line.  If you live in the neighborhood order for delivery or pick up.  If you're a tourist this is a MUST visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.223423006; Sentiment_Subjectivity (from 0 to 1): 0.688265306 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Anyone that knows me know that I LOVE LOVE LOVE Artichoke pizza.  I was introduced to this tiny pizzeria back when this was the first and only location.  Once I had my first slice I was hooked.  Everyone else that I have introduced it to since then has been hooked as well.  If you are reading this and have never went you this is a must try.   At first you may want think you are able to handle two slices but don't fool yourself.  The artichoke slice is enormous.  It has to be,  I don't think a thin crust would be able to handle all that creamy goodness.  It's basically a spinach and artichoke dip on a pizza. It's open late so it's the perfect spot after a long night of bar hopping!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205147059; Sentiment_Subjectivity (from 0 to 1): 0.576470588 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dammmmmm burgers I have ever had in life when at time sq. in New York pls have one; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.568181818; Sentiment_Subjectivity (from 0 to 1): 0.377272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yeah, yeah...a slice will set you back five bucks and a cheese pie will cost you $25. But Di Fara's is leagues beyond your typical slice shop or take out pizza joint. When you walk in, there is no line, just a mob of people waiting to place an order. It's almost like a bar, with only the most assertive making their way to the counter. Forty minutes isn't too bad of a wait for pizza, if we had to wait two hours, I might've needed a beer. Make that an entire six pack. Coming into this place, you know the wait is gonna be long and sweaty. It's hot and there's one old man making pizza at his own place. But damn, just enjoy your time with friends and take in the sights, smells and actions in the joint. The pizza. Mmm. The pizza. That's what makes it all worth it. This isn't a pizza you order out for a drunken movie night chronicling the illustrious career of Steven Seagal. No, you sit and enjoy the shit outta every bite of this pizza. DiFara's pizza has the perfect marriage between the three main ingredients of bread, sauce and cheese.  The crust is appropriately thin, with excellent crisp and lots of slightly charred portions. Delicious, slightly salty cheese. Minimal grease. Sauce that isn't sweet and has the flavor of fresh tomato. Combining quality ingredients and perfect execution, DiFara's creates a pie at the highest level of the New York form. Sure, it's pricey, but every once and awhile it's nice to spend a few extra bucks for the extra quality.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.209469697; Sentiment_Subjectivity (from 0 to 1): 0.561513573 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here is yummy. I'm a fan of the Shrimp Stew, the Corvina Com Vatapa (or anything with "vatapa" - fish paste which sounds gross but is actually bliss), the Arcaraje, the Codorna, and the Feijoada on Satudays. Beware the teeny tiny bowl of hot sauce that is served with some dishes. The flavor is great, but you really only need a few itty bitty drops - this sauce packs a huge punch! The waitress (seems to be the same one every time we go there) is friendly, helpful, and impeccable. The price is a little high for everyday, so we go there only once in a while. But the price isn't prohibitive. Fine for a nice dinner, date night, etc. But the real draw here for me is the Passion Fruit Mousse. It might be my favorite dessert ever. (Not including ice cream, which I'll explain in my review of Four Seas Ice Cream...) But Malagueta's Passion Fruit Mousse is perfection. It's less like mousse and more like custard to me. It's silky smooth and creamy. Served slightly chilled. And the flavor is like nothing you've ever tasted! It's passion fruit, but it's like if you took 1,000 passionfruits and compressed them down into pure passion fruit essence, and then somehow transformed it into creamy, decadent perfection. I'm convinced that magic is involved. It's amazing. You will not believe how flavorful and incredible this dessert is. You MUST order it. And don't share. You'll want one all to yourself. It will rock your mouth.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233853458; Sentiment_Subjectivity (from 0 to 1): 0.565615079 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Many many reviews already here, hard to write something new to say.  But compared to other Halal carts I've tried in NYC, this is truly the best.  A few tips to sum things up: 1. It's the one on the SouthWest corner, right by the Hilton, where the beheaded fountain is. 2. Yes, the white sauce is delicious. 3. The hot sauce, is definitely not for the weak sauce.  It's really really hot. 4. $6 for either chicken and rice, gyro and rice, or combination (my fav) 5. The line goes by really fast. Don't be discouraged.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.158150703; Sentiment_Subjectivity (from 0 to 1): 0.5426204 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 more about drinks and noise than food. ordered tacos and it came with pieces of uncooked differnt type meat mixed in with the actual meat type I ordered. the hostess stood at the front texting on her phone and ignoring people while snapping her gum. this place is just trashy and the food is not good. won't be back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.008333333; Sentiment_Subjectivity (from 0 to 1): 0.258333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My fav dish is prob the pork bun, tasty and just right amount of meat, sauce and the bun, perfect! but it's famous for the ramen, after trying the classic I just thought it's average, nothing really stands out and the flavor is forgettable, Santouka definitely have better broth and ramen if you are comparing these two.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.222486772; Sentiment_Subjectivity (from 0 to 1): 0.533597884 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 vibes, great service, and good brunch at this Brooklyn Heights cafe! The Huevos Rancheros was great. Loved the poached eggs and chili. Large cups for the coffee with free refills. The service is great. Very attentive woman as I have a ton of food allergies and I was able to get the Huevos Rancheros my way. 11AM is the time to go on Sat mornings. I went here with my girlfriends. We had no wait. Loved the brunch and the vibes! We will return!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.673571429; Sentiment_Subjectivity (from 0 to 1): 0.732142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food, kind staff, perfect for a romantic dinner. probably some of the best Italian food in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; 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: I was here with a group of 8 that go out once a month in and around Park Slope to try new restaurants and by far this has been the best one we went to as a group!  Granted, it was a Tuesday and we basically were the only ones there, but I NEVER received such amazing service at a restaurant.  We ordered off of their "Dine-In Brooklyn" menu and the restaurant was able to accommodate the dietary needs/food allergy requirements of members of our group without a problem.  The Dine-In Menu was quite narrow, but the roast chicken was perfectly prepared, the butternut squash soup was delicious along with the scallops I also tasted for appetizer.  Everything was fresh and well-prepared!  In addition, they brought us beef carpaccio and pork belly appetizers on the house!  And since we had vegetarians at our party, they also brought out a sweet potato appetizer for them as well...again, on the house!  The dine-in menu had $20 bottles of wine and they gave us two bottles (including a delicious rosé...and I usually don't go for rosé) that was once again, on the house.  Along with our three course meal plus the extra appetizers, we each tried their desserts--their bread pudding, apple cobbler, and sorbet.  The bread pudding and apple cobbler came with homemade strawberry ice cream--might have been the tastiest ice cream I've ever had. Forget about getting the free wine and some amazing appetizers, the quality of the food and service were absolutely top notch.  This is the type of service you sometimes get at ultra-expensive restaurants, but this place's atmosphere is comfortable and casual.  I highly recommend this restaurant to all.  Looking forward to going back on a non-restaurant week to try out other selections from their menu!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.274848485; Sentiment_Subjectivity (from 0 to 1): 0.642133838 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Incredible ramen - get the Akamaru Modern and the pork buns (to share) and you will be one happy camper.  We had to wait a loooong time on a Fri night (1.5-2 hours), but we killed time in the bar and drank delicious unfiltered sake.  The place was packed and I don't think they take reservations... I would definitely go back (And get the exact same thing as I did the other night), but at a more off-hour (not 8pm on a Friday!); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.345; Sentiment_Subjectivity (from 0 to 1): 0.445 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 may be my new #1 ramen place in NYC. Small place, but don't be discouraged. It's worth the wait. We were lucky and didn't have to wait long. I got their special dipping ramen (aka without broth). I loved the noodles, but I need to come back for their broth! The pork came separately along with other shitsies (all I cared about was the pork anyway). Must. Come. Back. For. Broth.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.140183983; Sentiment_Subjectivity (from 0 to 1): 0.393430736 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can I say which hasn't been said before? I think their ramen is top-notch - a small step above Totto Ramen. I like the contemporary atmosphere - especially the music! I'm very glad they have opened up a second location on the west side which hardly has a wait, though I feel the broth is slightly less tasty than their original location.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148333333; Sentiment_Subjectivity (from 0 to 1): 0.5025 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had Saturday brunch at Bubby's.  Arrived at about 11am and got right in without a wait.  I ordered their homemade corned beef and hash and it was simply awesome!  I normally wouldn't have ordered this but the waiter highly recommended it and it lived up to the hype.  The pies, cupcakes and pastries looked amazing but there was no room after the corned beef and hash.  Overall, this is a really great place including the setting, service and food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.427959184; Sentiment_Subjectivity (from 0 to 1): 0.625102041 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a Sunday afternoon with my boyfriend in our attempt to taste test and compare bahn mi sandwiches at spots in Brooklyn. This was our third and last stop. The place was a empty we ordered 1 classic sandwich, spicy, and a chai bubble tea and sat down to eat it. The variety of meats was ok. There wasn't really any pate. My boyfriend complained that there was too many veggies. I think the problem was that the meat sat in one corner of the bread and the veggies in the center so it was difficult to get both in each bite. I think the biggest downfall was that the bread was a bit too thick. The chai bubble tea, however, was so yummy (a bit too much ice but the flavor was great!) Would most likely not come back here for a bahn mi sandwich as it ranks 5th in my book when comparing it to Nicky's, Hanco's, Thanh Da, and Ba Xuyen. However the chai bubble tea is so great!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.145061728; Sentiment_Subjectivity (from 0 to 1): 0.399845679 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is excellent regardless of whether you go for brunch, lunch, or dinner.. Really nice spot next to the East River, would definitely recommend sitting outside if the weather is nice. They use produce from their own garden, which is located right outside of the restaurant. Cocktails are inventive and super strong! For brunch - chicken and waffles, a gourmet twist to a Southern favorite; the waffles are savory and delicious, with black pepper and rosemary. The breakfast sandwich is also very good, with a nice slab of melt in your mouth pork belly. Dinner - any lamb dish (the menu frequently changes)! Apricot ginger sorbet is great if you like that flavor combo. Overall, great spot in the Kip Bay/Murray Hill area!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.375175983; Sentiment_Subjectivity (from 0 to 1): 0.630393375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 atmosphere with solid food.  Walked right by and my wife and I decided to try it out.  We were excited to see a young professional crowd.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.276785714; Sentiment_Subjectivity (from 0 to 1): 0.439285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cash only. The food looks amazing, well priced, and a very chill place with beauitful deserts. I got the ahi tuna here and my old roomie got the wrap of a salad. Both were beautiful, good portions, and yummy. There is probably only room for 20 people in this place but it is def a gem of a place. The brunch food looked amazing and I def need to make it back here again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.338888889; Sentiment_Subjectivity (from 0 to 1): 0.655555556 [/INST] Not Spam</s>