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: I'm not sure... I had heard good things and having finally managed to get out and explore a bit after three weeks here, I headed to Kimchi Grill. I had been instructed to get something with the beef short ribs. I'm sure this was great. However, for my own personal taste, it was way too sweet for food I expected much more savory from - it was also a bit bland. I felt like it needed a little bit of salt or something to help bring out some of the flavor. It was enjoyable enough, definitely filled me up (the burrito was enormous!), and wasn't something I just couldn't or wouldn't eat. But I will definitely not order it again, as it doesn't suit my tastebuds. Hopefully, I'll get a chance to get back here before leaving NY in a week, and I'll try the pork something, or the fried chicken taco instead. I will stay away from the short ribs though. To recap: good solid food, I think - I just didn't personally like the beef short ribs. The three stars isn't because I didn't happen to like what I ordered; it's because I thought the food could have been less bland. Maybe it was on off day - it won't keep me from trying it again. I'll just try something different. And after that, maybe I can change the review.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.121875; Sentiment_Subjectivity (from 0 to 1): 0.573611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I never heard of this before, but my friend I was with told me I was lucky to see him on the weekend working right outside of the park.   His food cart/stand is right outside one of the entrances to the park and he's such a cheery happy man!  The cart was covered with new paper articles in English, Japanese, Chinese, etc, and they were all raving about the food.  It's one thing if a single article wrote about him, but there were several in different languages.  That alone has to say something!!! We spilt the Pondicherry Special, and oh man, it was amazing.  It was a crepe with potatos, spices, and veggies.  The sauce that came with it was a coconut based sauce (I think!).  I usually hate coconut when it's served, beside in its milk form, but it was so good!  He even gave us two soups that my friend and I splited.   The prices are very affordable and the portions are very large!   He is sooooo nice and sweet.  Next time I'm in NYC, I hope I can catch him again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222918921; Sentiment_Subjectivity (from 0 to 1): 0.468840188 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been going to that Fat Buddha space since it was Forbidden City.  In either incarnation, you'll find an Asian-American heavy scene with some dope hip-hop and videos played in the background.  There are two nooks on either side of the door which serves as a great base of operation if you can score them.  I also like how the bar is centrally located and you can order  from either side of the restaurant.  One great feature of this design allows for you to do an "orbit" of the restaurant to size up the "talent".   There are also tables at the back of the restaurant with a DJ booth.  The bathrooms are also located in the back and are private stalls, which I prefer versus the "grand central" feel of common bathrooms.   Overall, I recommend this place if you want to check out a hip scene with good looking clientele.  Perhaps a tad on the young side, but still fun.  I can't speak on the food since it's been a while, but from what I remember it was pretty good!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.177941176; Sentiment_Subjectivity (from 0 to 1): 0.480882353 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Found this place while waiting for st Clinton's baking company. This place literally saved my toes! In Mid February new York is freezing!!! But besides that pause has extremely great service their coffee is roasted perfectly. They play some great music and have really comfortable chairs. If your looking for a place to have a cup of coffee and wind down definitely check this place out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.388847459; Sentiment_Subjectivity (from 0 to 1): 0.567929293 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 LOVE LOVE - service was impeccable and the food is delicious. The restaurant itself was very simple but intricate at the same time. Will be back once restaurant week is over - must try their reg menu.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.40625; Sentiment_Subjectivity (from 0 to 1): 0.517410714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really like this place. Why? Because they are open 24/7, the food is good and reasonable and, finally, if you go there before 4 am you can get some tasty drinks in a clean modern, albeit sterile atmosphere. So, why the 2 stars? The staff are douche-bags. OK, no the host staff, not the bouncers, not even the bartender (it's been the same guy every time I've been there). The problem is the douche-bag waiter that served me the other night. I don't need to go over the service problems one by one. Suffice it to say it was marginal. The problem was that a gratuity was added to my party of 2 (the menu states it will be added for 6 and up). This is not a big problem as I tend to go 20% across the board for gratuity. The big problem was that next to the check there was a card stating that the gratuity had not been added and giving gratuity suggestions in 5 different languages. THIS, MY FRIENDS, IS FRAUD. Hence the 2 stars. Yes, I will go back, it's open late, food is ok, but I have no respect for the servers here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.124537037; Sentiment_Subjectivity (from 0 to 1): 0.405555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice little Midtown place away from the hell that is Midtown; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.20625; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very elegant and stylish decor and has a very exquisite air.  We had the five course choice menu where we chose appetizer, rice/noodle, fish, meat, and desert.  Each dish sounded more interesting than what it actually was.  I know it's supposed to be modern but to me the food lacked the intense flavor of authentic Korean food, and did not have the consistency/flow as a course.  It does not compare with the French restaurants of the same price range.  The best part was the amuse bouche.  The cocktails were very unique and refreshing.  I would probably not go back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.4025; Sentiment_Subjectivity (from 0 to 1): 0.571666667 [/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: Was so excited to try Root and Bone since I'm a huge fan of Yardbird in Miami. Unfortunately the food was a bit of a disappointment. I had the half bird, waffle fries, and a couple drinks. The drinks were phenomenal and I highly recommend them but the food was so salty I think I'll be thirsty for days. Wish I liked it better!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.154814815; Sentiment_Subjectivity (from 0 to 1): 0.617407407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 husband had the Nutella French toast and I had the smoked salmon benefit. Both were absolutely delicious! I loved the dill sauce that was over my Benedict. It tasted so light but full of flavour. My husband's dish was Nutella good, went so well with coffee. The restaurant is small and quaint. Had to wait 45 mins for a table but was well worth it. Can't wait to go back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.355555556; Sentiment_Subjectivity (from 0 to 1): 0.461111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fun staff, especially Eamon, and good food. Tons of beers on tap and in the cans. They even turned on the sound and extra tv's to watch the game we came for. Pretty big bar with tables, so not a bad place for a group.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24; Sentiment_Subjectivity (from 0 to 1): 0.521666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got around to Butcher Bar for lunch this afternoon. I'm sad it took me so long to try it out. They have a cozy outdoor seating area in the back, with picnic table style seating. We ordered the beef brisket, mashed potatoes, baked beans, and 4-alarm chili. The food came out really quick. It was a little on the luke warm side, but not to the point that it needed to be sent back. The baked beans were simple and delicious. Unfortunately the mashed potatoes were nothing special. The chili was my favorite - a nice kick without being too fiery. I was so surprise at how filling it was. I couldn't even finish the entire bowl! The brisket was not too fatty and incredibly flavorful. It was great on its own, no need to add any sauce. Overall we had a really nice experience. Also, Anna, our waitress, was very attentive and sweet.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.230124008; Sentiment_Subjectivity (from 0 to 1): 0.666815476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Restaurants worth waiting an hour and a half for: Clinton Street Baking Company, Prune (sometimes), Ippudo, JG Melon. Restaurants NOT worth waiting two hours for: Freemans.   I went to Freeman's with a friend last week and ended up getting seated around 9, even though we put our names down at 7:30.  The crowd was very hipster-ish (it felt like we were actually IN Brooklyn) and the tables were thisclose to each other.  We ordered the artichoke dip, the devils on horseback, the mac and cheese, and a pork dish. I'd give Freemans 1 star if it weren't for the artichoke dip; it was creamy, chunky, and perfectly warm and gooey.  Too bad the server TOOK AWAY THE DIP before I was finished (seriously, wtf?!)  The devils on horseback were interesting (I'd never had a prune wrapped with bacon and stuffed with cream cheese before), but the entrees were absolutely...terrible.  The mac and cheese was very overcookied (the noodles were MUSHY) and the pork tasted kind of bland and underseasoned.  The busboy tried to rush us out of the restaurant by standing over my friend's shoulder so he could clear everything away ASAP - it was obnoxious and a perfect way to ruin our dinner. If you end up going to Freemans because it's the "cool thing to do," try to sit at the bar and order some artichoke dip.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.097839506; Sentiment_Subjectivity (from 0 to 1): 0.462808642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I LOVE this place! Great vibe, great cocktails. The top part is restaurant/bar, the lower floor club. The only downside? I am not that into house music. Get here before 8 to beat the crowd. Also, come before 11 p.m. (or dine at the restaurant) to avoid paying club cover.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.545; Sentiment_Subjectivity (from 0 to 1): 0.72 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Firstly, the wait time is inaccurate. The host told my party to wait for 20 minutes but it ended up taking about 50 minutes. Recommended dishes are the chicken liver toast (the best liver dish I've ever had) and the deviled eggs which aren't your typical homemade ones. The Roquefort burger isn't for everyone's palate, but an above-par burger all in all. Definitely one of the better restaurants in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.163888889; Sentiment_Subjectivity (from 0 to 1): 0.513888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 run-of-the-mill mediocre to average at best thai experience. Came here for all the good reviews and left feeling unsatisfied. decor/ambiance 3/5 - This place reminds me a lot of Song for some reason. We were seated up front and at a fairly large table. No complaints here, but nothing special either. Service 4/5 - We were seated fast and had our water refilled often. Also the staff brought our food fast. Food- 2/5 - Chicken Avocado Spring rolls- Not that good at all. The chicken was super dry. The "roll" exhibited a complete inability to maintain a circular form and fell apart within one well controlled grasp of chopsticks. Bleh. - Mussels- Although they provided us with a pretty decent amount and most did not contain sand in them, it was disappointing that there were some that indeed had sand. - Salmon Pad Thai- Nothing special. Also the Salmon was really really dry and cold by the time it came to our table. I've been to much better (and cheaper).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.104140787; Sentiment_Subjectivity (from 0 to 1): 0.617598344 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome Pizza!! White pie is great with lots of garlic. Yum~~getting hungry just thinking about it!  + +; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful well prepared food. Octopus was superb. Huge piece and grilled to perfection. Lamb tartare with chips was such a well conceived dish. The Crudo was perfectly cut and well paired. Atmosphere was delightful and the staff was very pleasant.  Will be coming back to this establishment again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.669166667; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dined here a few years ago with a friend during the summer. The food was so amazing that I still remember exactly what it taste like. The service was great as well. I have to come back soon for a visit!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pricy for one person.... But very good; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.91; Sentiment_Subjectivity (from 0 to 1): 0.78 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is good -- even GREAT sometimes -- but the service is just the pits.  The staff is rude, inattentive, and simply not interested in enhancing your dining experience.  A real shame, given the quality of the food & the generally nice ambiance.   Also, don't plan to drop in after 11pm, despite advertising a 12am close; they definitely only serve attitude after 11:15pm or so.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.267857143; Sentiment_Subjectivity (from 0 to 1): 0.678571429 [/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: Was it good? Sure. Was it worth an 1 hr long wait in the blazing heat? No. I never went to the Grimaldi's at its original location next door so I can't attest to whether the quality has gone up or down since relocating. However, I can say for certainty that Lombardi's beats Grimaldi's (new location); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.22572601; Sentiment_Subjectivity (from 0 to 1): 0.435290404 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a quiet, emplty little place, probably deserves a 3.5 for its ambience, and I really want to give a 4 for the food too, but sorry I wasn't that impressed at all.   Despite being warned by one my venezuelan friends that this place is not as good as my other venezuelan favorite in the city, I decided to give it a try for my own judgement. It was the perfect spot for late night quick causual bite after the movies. And the sangria was pretty good too, but I feel that their guacamole can do a lot better. Also, I love fish and I love arrepas, but i did not like their fish arrepas. If I go back again, it will be to try things that i haven't tried in their menu and to give it another chance.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.315046296; Sentiment_Subjectivity (from 0 to 1): 0.633796296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came here after trying to go to Carmina's on Thanksgiving Day and found out that we needed reservations.  I absolutely loved this place! The ambiance, the servers, the food and price was excellent! :) When we first got there, the place still had seats for 6 of us, but about half way through our meal, the restaurant was crowded with people! We ordered the Antipasto Caldo which came with baked steam clams, stuffed mushrooms, crispy shrimp, cheesy eggplant, and prosciutto. All of the items were delish and for such a deal of $8 per person! One of us got the sinfonia di pasta which came with an appetizer of the Antipasto Misto/Ceaser Salad and three types of unlimited pasta. I would recommend the Antipasto Misto which is a variety of veggies if you have a palette for sour stuff, otherwise stick with the salad! As for the pastas, you get to try 3 different types of pastas that they offer, the seafood one, the pumpkin ravioli and the tomato and basil pasta. I really liked the bacon in the seafood pasta which was pretty flavorful! The pumpkin ravioli was an interesting pasta which basically tasted like a pumpkin pie! The tomato pasta was ok, but not amazing. Good deal for $23/person. We also tried the sausage dish which comes with 2 large sausages and veggies for $20. This item can be shared with two people since the sausage itself is pretty big! Overall, I am really glad that I came here and would definitely recommend this restaurant if you want some good hearty Italian food at a reasonable price!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.253373016; Sentiment_Subjectivity (from 0 to 1): 0.58452381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 "1 year birthday celebration" is in full swing...don't miss the bargains.  Wonderful items for $1, $2 or $3!  The beef "tagliata" for $2 for 6 oz. was delicious grilled and served with baby raddichio, oil and lemon. Love the little jars of Acacia honey and blueberry preserves...other items looked fantastic and were incredible bargains.  See new picture of the beef!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.516619318; Sentiment_Subjectivity (from 0 to 1): 0.738068182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a New York thin crust slice, it doesnt get better that Di Fara. All of the health code issues you hear about here did not deter me from what I've heard is the best pizza in NY. We went on a rainy day and got there around noon on a Sunday. I was a little agitated as there is no where to park and my friend and I were both starving. Luckily we got there before the line and got our pizza really quickly. Its cute watching the 2 guys shred cheese and roll dough. Very old school vibe. The environment is a little bleak but the minute you smell the fresh basil they cut directly onto you pizza you quickly forget about it. Yumm Im smiling right now thinking about it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.145138528; Sentiment_Subjectivity (from 0 to 1): 0.575572872 [/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: Getting pasta delivered by Seamless is always a scary proposition. Getting seafood delivered by Seamless is an even scarier proposition. I've had the Lo Mein Saltido from Coppelia delivered no less than ten times and each time its absolutely delicious. I cannot describe what the interior of the restaurant is like, the wait staff, or anything else on the menu. But if you want one item on the cheap that is spectacular, this is your dish.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222916667; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bouley [David Bouley] (2008 Plate by Plate Tasting Benefit) - shrimp in black truffle sauce w/ baby bok choy, hearts of palm - black truffle sauce was great, quite decadent, shrimp was high quality Pics: meetup.com/teamfoodie/ph…; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.156666667; Sentiment_Subjectivity (from 0 to 1): 0.539166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in tonight and ordered some nachos.  I was surprised that the cheese was liquid nuclear-yellow stadium style. Then I remembered, I LOVE liquid nuclear-yellow stadium style cheese.  With the included jalapeno peppers and the Habanero sauce that was on the table, I was in heaven. (Hmm, Yelp doesn't like the n with the tilde that belongs in jalapeno); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In a world where dumplings are now $1.25 for 5, Prosperity is maybe the last place to still only charge $1. You will have to elbow others in this tiny 8' X 8' box to get to the counter, but don't be shy to approach and shout out your order. If you don't, the next 4 people in the door will. Also a steal, grab a bag of 50 for $8 to make at home, and enjoy the spectacle of the kitchen as you wait for your order.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.016666667; Sentiment_Subjectivity (from 0 to 1): 0.427777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cannot be any better.Every single time i've been there never been disappointed.The food is so perfect.Love it! so get my 5 stars; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.089285714; Sentiment_Subjectivity (from 0 to 1): 0.214285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderful restaurant. Been here three times. The brisket on Tuesday night is just like heaven. Try the one with fat rather than pure lean. The duck waffle is great too. Actually, I'll recommend all the meat dishes. The salad is just ok.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.502857143; Sentiment_Subjectivity (from 0 to 1): 0.57 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We have lived in the neighborhood for almost three years now and have been praying for a spot like this to open up!  It is so nice to have a coffee place that is not Starbucks.  It really is the anti-Starbucks.  The staff greets you, doesn't rush you, it is bright and modern, and the coffee and food are made with care.  We will definitely be coming back a lot. My skim latte and blueberry muffin were delish.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242857143; Sentiment_Subjectivity (from 0 to 1): 0.471428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had such high hopes for this place, especially after a great experience at Chicago's Publican Res't.  Traif seems to have the right ingredients, extensive wine and beer menu coupled with a tapas style food.  Unfortunately I left somewhat disappointed.  Let me start off by saying the service was exemplary and the reason i gave the place an extra star.  Even though the place was packed and quite busy the service was very attentive.  But, that means the food only deserved 2 stars.  Now this may be a matter of taste rather than quality.  The food they served was obviously prepared fresh and of good quality.  It was in the execution of most dishes that i feel this place falls short.  Ever hear the saying "too much of a good thing"?  Basically everything you order will be drenched in some form of a sweet  and sour that overwhelms the dish.   Crispy braised pork belly:  Neither crispy nor very tender, just kinda there. Spicy sweet shrimp: So covered in sauce you cannot taste the shrimp. such a shame since the sauce was pretty good.   Strawberry ribs: Neither strawberry nor cinnamon was very apparent.  Think Chinese take out sweet and sour pork. Roasted carrot salad:  Drenched in dressing, and you guessed it, taste sweet and sour! Seared sea scallops:  Again another dish that was just there.  Nothing special. Bacon donuts:  The star of the night!  The only dish that had a nice balance of flavor where each element was well executed without overrunning the entire dish.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.185418367; Sentiment_Subjectivity (from 0 to 1): 0.536013605 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently traveled around Spain, but had yet to experience an authentic tapas experience in the US...until I visited Boqueria that is.  Upon entering the relaxed tapas bar, I looked to my left and noticed that the long hostess counter was adorned to look like a mini tapas bar displaying platters of tortillas and other traditional dishes.  I began oohhing and aahing with excitement as my Spanish memories came flooding back to me.  I pulled my tongue back into my mouth and joined my coworkers at one of the high tables overlooking the open the kitchen.  We had a tough time deciding what to share, because everything coming out of the kitchen looked amazingly authentic.   We finally decided on the paella and several smaller plates.  The Espinacas a la Catalana was a plate of sautéed spinach, garbanzo beans, pine nuts, garlic, and raisins.  The mix was definitely Mediterranean - something I would have expected to find on a Greek menu more than a Spanish one.  I am not usually a spinach fan, but the garlic and raisins added such contrasting and interesting flavors to this leafy green.  It was love at first bite.  The Brandada de Bacalao was in true tapas style, meaning there were round pieces of toasted baguette topped with the whipped cod.  Most tapas tastings around Spain include something over a slice of bread, which helps fill you up before you gouge yourself sampling the entire spread (well, at least it does most of the time, lol).  The Bikini de Tres Quesos was a delectably greasy grilled cheese panini filled with Mahón , Idiazábal and Manchego cheeses and marinated tomatoes.  The crisp multi-grain sandwich was served with a small portion of spiced Patatas Bravas (roasted potatoes with garlic and chili oil) and a side salad.  I absolutely love the Basque Idiazábal cheese, which is rarely on menus here, so this was a thrill for me.  Lastly, the Paella Valenciana was the traditionally large crisp pot of rice, prawns, mussels, clams, cockles, chorizo, and shredded chicken.  The chicken was extremely tender, the chorizo packed with flavorful spice, and the shellfish bursting with freshness.  The dish itself was a bit oily or buttery or something, but I still enjoyed it.  I have been to several Spanish restaurants were I have suffered through dry rice, so I definitely preferred this. We were all satisfied with the reasonable prices and friendly service.   I cannot wait to return and sample the rest of the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.106957173; Sentiment_Subjectivity (from 0 to 1): 0.476136568 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Why haven't I been coming here all along?? Bar Bruno is A+. Went on a Friday night and the place was comfortably attended, maybe because of the weather? With the tasty-looking menu and cool decor I was amazed that we didn't have to wait for a table. The drinks here are very good and the prices are totally decent - I  had a Tin Tan and a Miss Margarita and both were great. A refreshing change from your typical margarita. There is a complimentary order of chips and salsa brought to the table, and while it's a bit small, it's pretty good. We ordered chips & guac (a generous serving, very fresh for $6),  and the chicken wings to start. The wings were crazy - they were breaded and deep fried and came with two sauces for dipping, very different from your typical hot wing but very very good. Had a hard time choosing entrees since everything looked really good, but we ended up splitting an order of fish tacos and the vegan olla mole verde (not sure if I got that right...) which was basically like a vegetable stew in mole sauce with tortillas on the side. The tacos were fantastic, some of the best I've had in the city. The stew was pretty good, but I wanted it to be a little heartier, and maybe include beans/rice or something. Still, great that they have veg options on the menu. Also, the service was really great. The waiter helped give recommendations, and nothing arrived on the table til we finished with what we were currently eating. Which I appreciated, since we were sort of eating pretty slowly... so major points there! I will definitely return ASAP.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.234540701; Sentiment_Subjectivity (from 0 to 1): 0.668187473 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Trekked here with my friend (and fellow Yelper) Dominique F. before she went home. The line took about 1 hr. That being said... 1. Service is very friendly, though the servers definitely were totally overwhelmed by people and gave my friend the wrong macarons. They also give you a snobby look when you ask for just a regular bag for the macarons and not one of their fancy, overpriced, gold-trimmed, French-imported, plushy bags. 2. Price is comparable to those elsewhere. 3. I got Rose, Strawberry/Mint, Salted Caramel, Green Apple. Rose was my favorite. It was so delicately and light -- lighter than its counterpart at La Maison du Macaron. Still wonderfully chewy! Green Apple was delightfully tangy, though tasted rather fake. Strawberry Mint was not good. Caramel was DENSE. This is not for people who like their fluffy, airy macarons. This was like true chewy caramel in its spectacular form, with the sweetness brought out even more with the salt. I liked it, but couldn't even finish it. 4. Macarons last in the fridge for 3 days! They taste just as good on Day 3! Will probably come back again, but not until the hype dies down.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.204277778; Sentiment_Subjectivity (from 0 to 1): 0.631299145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good service.  Good beer selections.  If I'm ever back in the area, I would return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very nice place.  I love the interior.  The service is spectacular and the food delicious.  The cod is cooked to perfection and the sea urchin are fresh and creamy.  The dinner menu has plenty more options than lunch though both are fabulous.  Do try the baby squid and the different potato appetizers they offer.  The green tea ice cream is dense and creamy. Delicious!  We are returning soon.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.488; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ate at this place twice, and both times I was disappointed. On both visits the server took ten minutes to show up for our drink order, then an additional ten minutes to take our food order, at which time we were informed (on both visits) that they were out of the meals we had selected.  I thought that informing your tables what you were out of (especially when you only have 7 entrees) was serving-101. The server then took an additional ten minutes (on both visits) to come back and take our revised food order. The food was fine the first time, but the second time my $40 steak was an oily, bland mess. I didn't raise the issue with our server or the management because I didn't care enough about returning to seek a remedy.  I simply won't come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.028333333; Sentiment_Subjectivity (from 0 to 1): 0.363253968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reluctantly went to the other side of brooklyn for brunch on sunday. maybe it was because i owed my friend a visit who i hadn't seen in a very long time. or maybe...well, that's why, actually. she mentioned this place, and i got there first and put our name on the list. of course, like all things in this part of brooklyn, the place was swarmed with pretty hipsters eagerly waiting to eat (what looked like would have been the first meal their bodies ever enjoyed). so the wait was an hour and a half for a table in the sun outside. now, this might turn some people away--probably me in other circumstances. but thankfully we waited it out. i mean that. thankfully. the food was amazing. the presentation was subtly playful and not what you expect from a humble little corner cafe. but the crowd doesn't lie (in this case), i guess. we ordered the blackened kale salad, mushroom toast, moroccan scramble and bruleed grapefruit. we also ordered an iced coffee and glass of orange juice. not the highlights of the meal, both still deserve a shout out. the coffee was spot on--not too bitter (as many iced coffees can be), and the orange was freshly squeezed. [as you'll read in many of my other reviews, this alone deserves a star in my book.] just thinking of that blackened kale salad right now is making me incredibly hungry. i might be freakishly excited by kale in any form, but this salad was spot on perfect. we feverishly devoured it within a few short (too short) minutes. both of our entrees fell onto that same lofty pedestal. the flavor from the sauce and chickpeas in the moroccan scramble was a harmonious and unexpected combination. as for the mushroom toast, i'll take my friend's opinion here since i don't really like mushrooms, but she enthusiastically gobbled it down. the only downside is the service. not much enthusiasm there, but maybe that's what you get when you hang out in that part of brooklyn.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.109269374; Sentiment_Subjectivity (from 0 to 1): 0.482806956 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for the first time with one of my best friends, who raved about the place. We opted to eat in the dining room area (which became very cold very quickly each time the door opened), and we got a small artichoke pie to share. The pizza came glistening with oil and bubbly cheese. It was delicious. There could have been more artichokes, but the pizza was good nonetheless. However, we could barely make it through two slices each before becoming overwhelmed by the sheer heaviness of the meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.304848485; Sentiment_Subjectivity (from 0 to 1): 0.589393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great new addition to the Bed-Stuy/Clinton Hill Neighborhood. Daily specials including traditional handmade gnocchi and homemade Lasagna. Great presentation, great Traditional Italian food done Right! Their regular menu features a modest variety of Crosstini, Antipasti, and Insalate. Good for vegetarians; I recommend the Bruschetta and the cheese plate! The prices are just right, you cannot find a better deal in Brooklyn for homemade Traditional Italian food, made Fresh! The decor is rustic and warm. Full of Southern Italian charm (as the name suggests, SUD means south in Italian). Staff is Italian too! The storefront is subtle... A true diamond in the rough.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.226764902; Sentiment_Subjectivity (from 0 to 1): 0.434726812 [/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: Fun and lively atmosphere and delicious tapas! Great service as well. We got some great spinach, fried artichokes, and the hangar steak was delicious.  I would skip the flatbread, too much going on and with the quail egg, it was a little too rich in flavors.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.491540404; Sentiment_Subjectivity (from 0 to 1): 0.627777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overall a great dining experience whether you sit at the bar or at a table. Atmosphere - Excellent.  Comfortable and friendly with a touch of class. Staff - Excellent.  Very friendly and service is amazing. Food - Very good.  Overall it is not the best ever but I have never been disappointed in any of the dishes. Bar - Excellent.  Strong pours on the drinks and happy hour oysters for $1.50. Value - Very good.  The place isn't cheap but definitely worth the cost if you want a nice meal out. PS - Sat next to Mos Def last time I ate here.  He is mad cool and funny.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.426701389; Sentiment_Subjectivity (from 0 to 1): 0.644166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 make them while you wait so they're always piping hot and fresh.  This place was a tiny hole in the wall that my mom and I tried when she came to NY to visit me.  Great super cheap dumplings, but perhaps not the best I've ever had.  It's a little out of the way for me, and not quite amazing enough to make the trek all the way down there on a regular basis, but I'll always stop in if I'm in the neighborhood.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.278356481; Sentiment_Subjectivity (from 0 to 1): 0.544373219 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great!  We had the taco appetizer for two and it was shared by 3.  It was great and a lot of food.  Then I shared the paella with my husband and my daughter had the steak.  All of it was so good I couldn't stop eating!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.933333333; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, this is a real gem in the area. We didn't beat the lunch crowd, and the place was already packed from the counter to the door around 12:30PM. Luckily we did managed to grab two seats. It started to thin out around 1:15PM. When the owner had a second to breathe after the lunch wave, he came over to our table and offered us a free roll for taking too long on our order earlier. This type of service and hospitality is unheard of in a fast casual setting. If you have read this far, the best time to enjoy this place is to have a late lunch starting at 1:30PM.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.098888889; Sentiment_Subjectivity (from 0 to 1): 0.576666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On a humbug decided to come out and head to Chavellas. I have passed it a million and one times, so it was time! The wait was pretty good for a Sat night, 15 mins for a party of two. I ordered the Guac, cojito corn, steak and pork tacos. They brought the Guac out likity split, which means it wasn't handmade. We had about three bites a piece and sent it back into the kitchen. I have had much better Guac. Actually trader joes makes a better version. I prefer had made Guac, like from Fonda or Dos Caminos. The corn was luke warm and slathered in the mayo/cojito cheese combo.  So if you don't like mayo, stay away. Besides the temp they left a lot of those stringy pieces of husk, annoying and nasty. The tacos were ok, I have definitely had better by the local taco truck. Overall, I would go back for the tacos if I was in the area, but I wouldn't suggest people travel for Chavelas. If you want good Mexican, hit Fonda or dos on Park. My two go to spots!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.136111111; Sentiment_Subjectivity (from 0 to 1): 0.405555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this little hole in the wall! It's such a perfect place to stop in to grab something to eat. I'm not sure what other Mexican places are in the area, but I'm sure this is the best! Quick service, good price, simple and easy. The help yourself chips and salsa are a nice, casual touch too!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255486111; Sentiment_Subjectivity (from 0 to 1): 0.613994709 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We were planning on going to totti ramen but even we got there pretty early at noon, there was still already a long line. So we switched to this place and it turned out to be a great decision. We had the spicy ramen and the original pork ramen, and the pork buns, and all was so delicious. The place had a pretty legit Japanese ramen place atmosphere, and the service was great. Totally recommend it and would love to visit again. The only thing is the price is a bit high, but the food and service are worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320357143; Sentiment_Subjectivity (from 0 to 1): 0.638571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty much one of the best sandwiches in the city. Better than the Bahn Mi place on Bedford, not that there is anything wrong with that place. The pork belly is just divine. Unfortunately it's usually gone by 8, when I typically go, but everything else is very good too. The pulled pork, and the cauliflower, especially. They have some interesting specials sometime too, like lamb merguez, as well as soups and salads I haven't tried yet. The watermelon pickled... something... is great as well. I usually get them to go, but it's kind of nice and cozy up those spiral stairs, where I can relax and read while I eat, or just look out the second floor window, and sip on my coconut water. Very good food, decent prices, and filling too. Other top sandwich spots I recommend are Katz's and Peanut Butter and Co.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.27225; Sentiment_Subjectivity (from 0 to 1): 0.595083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 amazing when it comes to chicken. A friend and I ordered combo number 3. It was enough food for 4 people easy. And the food came out within 10 minutes or less. Attentive and friendly service. I'll be taking a trip all the way from Washington heights to Jackson heights just to enjoy the great Peruvian food in the area. Worth every penny :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.276515152; Sentiment_Subjectivity (from 0 to 1): 0.636363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sides are equallly good including kale mashed potatoes, ratatouille, fresh seasonal green vegetables. There is a small farmstyle table if you wish to eat in, but it looks like the majority of business is takeout. Do yourself a favor and check it out. You'll be glad you did.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.21; Sentiment_Subjectivity (from 0 to 1): 0.56 [/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: Reasons to NOT come to this Halal Cart: 1) You're on the hip new, non-Halal only diet. 2) You're currently not in Manhattan. 3) You can't eat rice. 4) You don't like to customize your food with sauces. 5) You live in a sad, joyless world. 6) You're stone cold sober. Otherwise, enjoy.  Frequently.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.025252525; Sentiment_Subjectivity (from 0 to 1): 0.594949495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The absolute best cart for chicken over rice in my opinion! Fast, friendly service and price is always right.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218452381; Sentiment_Subjectivity (from 0 to 1): 0.630952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 things are terribly wrong about Cornerstone. The nasty "greeting" upon arrival was one hell of a start. Like I was disturbing the angry hostess. Of course, we were seated under the air conditioning ducts. Service, to be frank, was not just slow; it was punishing. The food was bland, uninteresting and past its prime. Heard enough? Stay far away!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.340046296; Sentiment_Subjectivity (from 0 to 1): 0.742592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here was a great experience. Although we went on a very packed Saturday evening, it was still packed at 9pm. Nevertheless, we were quickly seated, promptly brought a bread basket, and our water glasses were filled all in one shot. For the appetizer, my original order was mussels but once we heard the octopus salad from the specials of the day, we were sold and they did not disappoint! It mainly consisted of tomatoes (lightly seasoned and tossed in oil) and grilled octopus. I will be back solely for that!   For entrees, my husband ordered the cowboy steak and he was amazed with the seasoned fries. They were very tasty, fresh, and lightly seasoned (with paprika I think?). I ordered the organic whole wheat penne and it was great. The chicken was fresh, the pasta was deliciously tossed in with sundried tomatoes (my favorite) and broccoli. Although they came to take the drink order first, we ended up ordering drinks after we put in our food order because of their extensive wine and beer menu. The drink menu was very extensive and offered alot of variety and we will definitely be back to try out more drinks! Overall, our experience here was superb and like the other reviews have said, the bus boys are quick and stealthy, we never had an empty plate on the table for too long and our water glasses seemed to never end.  They also do have a very eclectic playlist! The only gripe is that  the parking, especially on a weekend, was horrendous! But, the place is open 24/7 which is a plus! We will definitely be back again to try out the brunch!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235355392; Sentiment_Subjectivity (from 0 to 1): 0.495833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ate here twice within a few days and it was great.  The beer selection is fantastic (It really is amazing there is an entire wall dedicated to what they have in stock) and the prices won't kill your wallet.  Both times I went in the group I was with only did appetizers for lunch. The food came in an alright amount of time and the chicken wings were fantastic.  It only loses a star because we had a bit of an issue of the staff not being attentive. However, that being said, our waitress changed half way through our time there and the second waitress was much better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.130952381; Sentiment_Subjectivity (from 0 to 1): 0.62797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We got here at 830 and was told it was going to be a 30-45 min wait. The host told us to go to the bar next door and wait there and she would come find us. 4 tables were in front of us. We checked in with her and was told one table is in front of us an hour later. We did not get seated until 10pm. By that time we were full on beer but, being that we waited so long, decided to eat here anyway. With that being said.. You have to have the guacamole. Their chips are addicting. Try not to fill up on the chips though! The beef tongue taco and fish were my fav! The chorizo one was waaay too salty. If you like chorizo go with the quesedilla. The avocado in the sandwich melted in your mouth but the enchilladas were a pain to finish. Overall, the food was amazing but the wait? Not so much. Make sure you stay on top of your place in line because they WILL forget about you. The peoole around us, when we did finally get to sit down, were NOT the people that had been waiting with us.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174210859; Sentiment_Subjectivity (from 0 to 1): 0.42979798 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing hidden gem in Chinatown.  Dirt cheap dumplings (5 for $2) bursting with chives and pork.  Can't go wrong with steamed or fried. Add some of the soy sauce and siracha hot sauce.  Wish i lived closer!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.129166667; Sentiment_Subjectivity (from 0 to 1): 0.736666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 loved this place the atmosphere was great as was the food and drinks. Although everything was good when it came down to the bill.it was 213 that's fine but when it came to tip. We gave the waitress 17 dollars. Which is more than normal. All she did was take our orders we payed Bill and gave tip less than 5mins management came over and asked why was she tipped under the  15% Mark and basically demanded another $20. If that's the case why not put it on the bill if 37 dollars is the minimum smh. She did nothing to deserve that much but thats the city for u. Smh; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.349382716; Sentiment_Subjectivity (from 0 to 1): 0.483950617 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing bocadillos, plenty of samples, extensive selection of Spanish goods, great staff - I adore Despana. I haven't tried any of the other prepared foods but it's just because the bocadillos are so good, there's really no reason to mess with what I know. I think my favorite one is the chorizo, which is served warm and is just FANTASTIC. They use Sullivan Street Bakery's ciabatta bread and all the best ingredients, which makes the sandwiches that much more delicious. While you wait for your sammie you can walk around and sample stuff - olive oils, lomo, chorizo, tapenades, olives, cheese, etc. It's awesome. The people that work here are also always very helpful. There's none of that sigh-under-their-breath action when you ask to try your 3rd cheese. I appreciate that because I'm not the type of person to run around sampling things without any intention of buying something. I really don't have a single bad thing to say about Despana (except that I wish they had more indoor seating). If it's nice outside I like to sit on the bench and demolish my sandwich. Yum, I'm salivating just thinking about biting into a bocadillo.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.313690476; Sentiment_Subjectivity (from 0 to 1): 0.486011905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great pizza. Laid back vibe. Cash only but they have an ATM onsite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The ramen did not disappoint again... always good. We got the miso ramen, vegetarian ramen, and their special ramen. I was nervous the vegetarian broth would be only so-so, but it was surprisingly good. They were accommodating in switching some of the contents in each bowl. Just wish they had to go containers for leftovers, and took reservations....; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.439285714; Sentiment_Subjectivity (from 0 to 1): 0.692857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Saturday for brunch at around 11 AM and this place was packed. Luckily there was an open spot for two and we were seated right away. It wasn't the most comfortable table, since it was near the door and it was cold that day. But it wasn't too bad. We ordered the scrambled eggs with smoked salmon and scallions. It came with some fries and greens. It was standard. We also had the pancakes and that really impressed me. It's probably the best pancakes I've had. It was very fluffy and soft. Even with the whole restaurant full, the food came out quite fast.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.181815476; Sentiment_Subjectivity (from 0 to 1): 0.559732143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Closed; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.1; Sentiment_Subjectivity (from 0 to 1): 0.1 [/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: Oh Momofuku how I love thee but I do not love how you take all of my money! So here's the lowdown. Hubby and I decided to spend an entire week eating our way through NYC. Naturally, we had to make a stop at one of our favorite restuarants: Ssam bar...well maybe 2 stops! We had been here on our last NYC trip 2 years prior. On our first visit we had the WHOLE Rotisserie Duck...yes, you heard me right. the WHOLE duck at $140 for a measly 2 people. Everyone dining there during lunch that day thought we were crazy. We were. Truth be told there were supposed to be 4 of us but our friends were feeling under the weather. The policy at Ssam is that you have to have a minimum of 4 people for the whole duck...we were nervous that they would not let us keep our reservation now that there were only 2. The hubby calls and leaves them a message telling them that our party is reduced to 2. They call us back and ask if we want to cancel or if we still want to keep our reservation. UM, NOOOOO we will not cancel. Hubby has been looking forward to this meal for weeks -- no way is he canceling. So we showed up. I ATE and ATE and ATE...that pan did not look like it was getting any smaller. I can honestly say I am DUCKED OUT. It was effing delicious. Just as good if not better than the first time. Worth every penny! We ended up eating the leftovers for lunch the next day too! Anyway, they now have a lunch portion of the Rotisserie duck for $15. You can add lettuce and the chive pancakes for an additional fee. Not sure if the fried duck fat is part of the lunch version or not but all I can say is $15-20 is much more affordable than $140! We will definitely be back for lunch :-); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.135570608; Sentiment_Subjectivity (from 0 to 1): 0.522400109 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mulberry & Vine works like a lunch service line and employees will make up your plate as you pick your items down the buffet. Although I'm not a vegan or vegetarian, I imagine you'll do well here if you are.vI would say just a bit under 4 stars but only because they have a variety of items, many of which I can't speak for yet. A few more visits will definitely solidify my opinion and warrant an update. I just havent been a huge fan of the food lately.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.093055556; Sentiment_Subjectivity (from 0 to 1): 0.548611111 [/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'm with Sam J.  I lived in Miami 2 years and had my first cuban sandwich there.  Margon's cubans are not to be effed with.  They are the best in NYC.  The sweet plaintains are lacking...but whatevs...I can live without them.  The sandwich left me stuffed...perfect Friday lunch!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.347272727; Sentiment_Subjectivity (from 0 to 1): 0.356666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: gave this place a new shot.  i tried their pulled pork and it was pretty good.   i won't be getting the fried chicken again.   the white meat was a no go.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.097272727; Sentiment_Subjectivity (from 0 to 1): 0.600909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here about 5 or 6 times now and the chicken has been consistently awesome and now I know what to & not to get with regards to sides. After trying a bunch of other fried chicken places since my discovery of this place, I've concluded so far this is the best so I'm giving it the 5th star its been waiting for!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.129166667; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last night with a Korean friend. I'm not sure if my experience was great because I was with a Korean person (you know, the extra food and attention waiters give to their own kind. haha). But the non-koreans who were there seems to be getting the same attention as my friend and I were getting. Hahaha So let me say this right off the bat, the place is pricey but at the same time standard Korean prices. So be prepared to spend $35 to $45 for two people (you know, when you bring your hot date here to impress her, don't bring just $20. This is not 2 Bros Pizza type of place. Haha). About our visit. There was a wait when we arrived. Even a girl who made reservation had to wait about 10 minutes before getting seated. Strangly, my friend and I did not wait at all. We were seated right away after writing his name down (forgot white privilege, it's all about Korean privilege!) At the start of our meal, we got some type of warm tofu appetizer. We didn't order it, so yay for us! I ordered beef soondubu ($13.95 and the cheapest entree on the menu) and my friend got beef bulgogi stew ($14.95). Both food were delicious. First time eating bulgogi stew and I was impressed. Very flavorful! It makes me question the amount of calories in that dish. The side dishes are quick different from BCD but at the same time as delicious as BCD's side dishes. At the end of our meal, they give us a warm cinnamon drink. It was really strong that I wasn't able to drink it. I thought the decor was really nice. Very similar to the Korean traditional restaurants in Korea. The staffs were friendly and attentive and the food was pretty good. Oh they don't give you regular water, but rather rice water. Very delicious!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.327829992; Sentiment_Subjectivity (from 0 to 1): 0.550775336 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good here is absolutely delicious and Devine. Cute little atmosphere with nice decor.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5225; Sentiment_Subjectivity (from 0 to 1): 0.82 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 about this place is amazing! The decor is fabulous, the servers are extremely sweet and on point, and the food is some of the best Japanese I've had. Don't be turned off by the fusion aspect of the menu, everything is fresh and wonderful. Pure, simple ingredients. I've eaten here with a small group a few times and tried a pretty large portion of the menu and everything has been terrific--they have fresh-made tofu!  The black sesame creme brulee and earl grey ice cream are worth a trip alone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.260342262; Sentiment_Subjectivity (from 0 to 1): 0.485565476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food, drinks and staff make for a great neighborhood spot. I work and live several blocks away and frequent Park Ave Tavern.  In a year and a half, I've yet to have anything but a great experience.  Whether at happy hour with coworkers, brunch with friends, or at dinner with my mother when she's in town, service and food are wonderful. There is a downstairs space with tables with electronic kegs that you can reserve for happy hour as well as additional standing space for when the bar upstairs gets crowded.  An overall wonderful neighborhood spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.505808081; Sentiment_Subjectivity (from 0 to 1): 0.601388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a wonderful breakfast and would recommend.  I had the highly raved about homemade tater tots, eggs and guacamole.  Wife had the eggs, grits and sausage.  Served Stumptown coffee to top things off.  Looking forward to our next visit to come back here. Just so no one is surprised, it's cash only and opens a bit late (at least for us) for breakfast at 9:00 a.m.  Was worth waiting for.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.146; Sentiment_Subjectivity (from 0 to 1): 0.504 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretty much all about any place that has a breakfast sandwich with garlic aioli on it, and deep friend macaroni and cheese balls with ranch. In my mouth. Please. Now.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.15; 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: Food was absolutely wonderful. Very fresh and great flavors. Service by our waitress, APRIL was unbelievable!!  She was great with our choices of wine and food.  Best Toffee cake for dessert I have ever had.....ummmmm!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.599895833; Sentiment_Subjectivity (from 0 to 1): 0.741666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 those that really know me, they know that I gave up pork when I was ten because I fell in love with my stuffed pig. One day my mom thought she was being funny and said, "Well if you really loved Hamton you wouldn't be eating that sausage." After a good 2 hours of big doe eye, mouth in an "o" silence and reflection, I gave up pork. There have been a couple cheats here and there (like the time Jarrett and Matt and I walked 7 hours from one side of Shanghai to the other and then waited in line for 1 hour for the most famous soup PORK dumplings in the world...it would have been ridiculous to not have one. honestly it was good but I could have done without) for the most part in the last 20 years but for the most part, I have been a faithful follower of the swine.   Flashforward to Ippudo where we waited 1 hour for a table and ran back from the Bao place (again...don't want to talk about it) and I find out every ramen dish has pork in it.  The server gently says, "we're really known for our pork. it's what we do"  So I order the duck ramen which has pork in the broth but I figure I won't ingest too much. Not the greatest...though the ramen was the BEST. Then...Jean sees my big doe eyes staring at her Modern dish with the pork flavored pork on pork slathered in pork with a dash of pork.  She give me one sip of the broth that tastes DISTINCTLY like pork skin which aside from pig tongue is the only other thing about the pig that I remember that I miss. Yeah...twas worth it.  I will be ordering the Modern next time and wait 2 freakin hours.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.264367816; Sentiment_Subjectivity (from 0 to 1): 0.438505747 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 may be the sawdust talking, but if you must venture above 14th street (and I don't endorse that) these folks pour an excellent pint of Guinness. The pub grub ain't terrible, either.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everyone told me to try it when I said I was going to visit New York... so there... it's quite amazing! I think the magic of this 'white sauce' is really Mayo + some mix of seasoning... you HAVE to add it... or a lot of it. Hot sauce... is crazy hot, at least in my opinion... but then again, I'm not a spicy eater... so beware before you drench your meal with it. Serving size is HUGE! I can make two meals out of it... and it taste quite nicely the next day too. Waiting time is long if you are adamant about buying your meal at the 'original' stand, but the entire block is run by The Halal Guys, so if you want to save some time, cross the street or walk down to the opposite corner of the block. See photos for their other locations. Don't expect much from customer service, but the guys are very efficient moving the line along.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.128673095; Sentiment_Subjectivity (from 0 to 1): 0.504247016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely amazing pizza, very nicely balanced. Drinks are exceptionally good as well. I often do not get cocktails because proportions are always off and I feel like I have wasted my money on some flavored syrup. But that is totally not the case here. I have tried multiple drinks here with gin, tequila and bourbon, and I was really impressed with how good all of them tasted. I love that i have this place in my neighborhood, but it is does worth to travel to. I highly recommend  !!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.426590909; Sentiment_Subjectivity (from 0 to 1): 0.553636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here twice and I have been happy each time. The lunch menu is perfect! It's not that expensive and you get a choice of an entre with two appetizers. The food tastes great and it's perfectly portioned. I definitely recommend this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.516666667; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This review is strictly for the cheesecake: YUM! I've eaten here three times so far, and each time, the cheesecake is still just as delicious as I remember. My first experience at Junior's was with the strawberry shortcake cheesecake.  Yummy, but I felt deprived of the "true" cheesecake taste.  Second time, I ordered the plain cheesecake and shared it with my sister.  It literally melted in my mouth as I ate it, slow bite after slow bite, savoring it to the last bit!  Third time I ate it, my boyfriend tried it, felt so-so about it (but his silly butt doesn't like cheesecake, so his opinion doesn't matter right now :P), but his roommate went, "OH MY GOD, THIS IS SO F'ING GOOD!!!!!!" after taking a bite.  I even went so far as to order Junior's and have it shipped to my home in California... everyone really liked it!  Well worth the $50 I spent on a cheesecake. :D So yeah, consensus says: Junior's for the win!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.273571429; Sentiment_Subjectivity (from 0 to 1): 0.530892857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very busy. We arrived to find several people standing outside waiting for tables, I think we waited about 20 minutes. We were a party of 2 and were seated at a 6 person table with people we did not know. I think this experience could be fun if you get the right group of people but no one at my table talked. The place is known for the dumplings. They really do not give you an option on these, its more like which ones do you want. We chose the pork dumplings and they were very good, I actually wanted to go back the next day for more! We also ordered Lo Mein and a chicken dish which were also very good. Since it is such a busy place I did feel rushed at the end of my meal to pay the bill and get out so they could get the next group of people in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.180042017; Sentiment_Subjectivity (from 0 to 1): 0.340336134 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 have to pull a trick to skip the line if you want to dine inside: try showing up early, that's always the best one.  Fried calamari must be had. For the outside, you can't skip the pizza.  It is a rule.  And if you get anything here and it's warmer than 60 outside, you need to get some spumoni.  Any flavor, that's between you and God, but if you don't get a taste every time you stop in, you will die unhappy.  Or sorry, that's melodramatic, you will die less happy than the people who know what is best in this life.  Spumoni ... and the lamentations of one's enemies' women.  But spumoni....; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.181481481; Sentiment_Subjectivity (from 0 to 1): 0.440740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nice to know that no matter when or what time I come back to GoGo, they will deliver the same quality meal over and over again. I love this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.43125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 understand the hype. Just came back from a Sunday dinner here - went in with high hopes, came out very disappointed. 1. The wait. We waited one hour. After living in NYC for a few months this seemed okay, but usually one-hour wait places have very good food. This place didn't. 2. The prices. Cheaper than other candle-light pasta places in the city. Honestly this is the only thing I can think of as to why people might love this establishment so much. 3. The food. Lasagnette di Verdure = Very good. The only saving grace in the entire dinner experience. Tagliolini ai Frutti di Mare = We had to order this famous dish. It was the best out of the 3 entrees we ordered (which is not saying a lot). A bunch of pasta strands were stuck together - what some people might call 'stodgy' Gramigna con Salciccia e Peperoni = Too salty. Pasta was cooked al dente; didn't taste great. Gnocchi con Formaggio = I really wanted to like this. Gnocchi tasted fresh, but it didn't taste particularly good... I think there are some major inconsistencies with food quality and/or service, because 600+ people on Yelp seem to LOVE this place. If 1 of our 4 dishes were meh, I would have given it some benefit of the doubt, but it was 3 out of 4. I don't think it was purely a bad luck. Nice interior decor, nice atmosphere, not bad service. Bland and uninteresting food. I think we can judge because we have had Italian food in New York and in Italy. Most definitely not worth the long wait. For better pasta, go to Basta Pasta or Gnocco.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.223205628; Sentiment_Subjectivity (from 0 to 1): 0.548463203 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my Birthday and was SUPER happy :) I had this amazing gin, grapefruit drink and shrimp for dinner. Both Delicious! Will def be going back; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.538888889; Sentiment_Subjectivity (from 0 to 1): 0.761111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a cute place!  I went on a beautiful Saturday morning and sat at the table that is just inside the restaurant at the open window.  After maneuvering the table and chairs to sit down, I enjoyed a tasty glass of fresh squeezed orange juice and the table bread.  I ordered the bacon, tomato, chives scramble which was a little salty but it went well with the home fries/mashed potatoes.  The prices were very reasonable and the single server tried his best to be attentive.  Great little brunch spot with "little" being the operative word!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.278474348; Sentiment_Subjectivity (from 0 to 1): 0.602369615 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch is a scene here.  After years of gallery hopping with only a handful of food options, it was a relief to have a foodie centric refuge.  UNTIL the reality hit that this refuge is located on the ground floor of a smacking new condo filled with those who can afford to live there.  Call ahead, otherwise it can be an hour's wait for walk-ins.  Dinner is also fairly booked.  Best time to go is on a weekday for lunch.  Thankfully whenever you go, the staff are friendly and warm and worth being nice to. For brunch, try any of the baked goods on the menu - the beignets are light and greaseless, so are the donuts.  Can't decide on which seasonal or local entree to order?  The burger is a safe and meaty option - come back to order the generous egg dishes or salads. Dinner options include succulent pork loin, which comes with crackling skin; and moist rabbit with mustard-seed-cream sauce.  The seafood is also well-prepared with balance of flavor and textures.  The rabbit kidneys are a novelty, but won't keep you up late pining.  Dessert is worth making room for - including the chocolate cake or the caramel bread pudding.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.302807487; Sentiment_Subjectivity (from 0 to 1): 0.485561497 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Get to the Chase: Pros: 1) Trumps ANY ramen place in NY in my opinion...screw Ippudo...this place sticks truer to the authentic Japanese style and yet plays with innovative flava flavs like spicy kimchi miso ramen 2) Not greasy 3) Very generous with the noodles (not like other places that are stingy and charge you more for refills...cough Ippudo and Totto) 4) Will not have to wait 1-2 hours for a seat...had a party of 6 and easily sat within 15 min on a Friday night 7:00 PM 5) Very nice staff, always refilling your glass of water 6) Quaint and practical area with limited seating...but it works Cons: 1) Don't go for the appetizers, go for their DELISH ramen bowls 2) Their plum sake/wine was waaaaay too sweet for me; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.306690476; Sentiment_Subjectivity (from 0 to 1): 0.555119048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: #1 restaurant in NYC? No, definitely not. The food didn't blow me out of the water, but it was very solid and the service was great. We arrived at 6:30 on a Tuesday night and had a 45 minute wait. The grilled calamari and kale salad was tasty, but could have been a bit warmer, and completely raw kale isn't my favorite - it could have used a good massage (am I right, kale lovers!?) I didn't really like the pasta with clams at all - kind of gelatinous and garlic that was perhaps a little burnt. The uni appetizer was also good, but it was also difficult to eat considering the egg yolk it came with.  Beer steamed mussels/clams were great. The complementary whiskey cake at the end of our meal was one of my favorite parts. So while it sadly didn't live up to the hype for me personally, I would definitely come back when the menu changes, or for their happy hour which looks awesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.270249393; Sentiment_Subjectivity (from 0 to 1): 0.629869178 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Comfort food in a pretty atmosphere with really friendly service. The bentos are more than enough food. The best part is you won't break the bank!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy mini-cachapas and arepas goodness. You know it's good food when you've got meat juices oozing out your arepa and you're wiping your nose from excitedly shoving your face into a sandwich. Friend and I ordered the mini-cachapas and two arepas. I, of course, forget the heck they were called. Does it even matter? If it does to you, worry not, their list is long with variety. ......Then I ordered another to scarf that one down too. On the way home, I was slightly regretful that I hadn't packed one to take home. Maybe two hours at dance studio had a little to do with how hungry I'd been, but I'm going to keep thinking that the place was just that good......; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.173611111; Sentiment_Subjectivity (from 0 to 1): 0.472222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 perfect for enjoying brunch TIME on lazy weekend afternoons. The location is awesome and the space itself is beautifully designed. However, the food is very unmemorable and the waitstaff is always in such a rush and unfriendly. Their Bloody Mary's rock though! I personally skip the brunch and just order drinks at the bar area. Also, some of the seating is perfect during the summer for people watching!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.33; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been coming here for years and it is one of my favorite Italian restaurants. The food is authentic and fresh and expertly prepared. The staff is mainly Italian speaking and it is so impressive how they recite the dozens of specials with their authentic accents.  Somehow this makes the food sound even more delicious.  The decor is trendy and traditional simultaneously and although you definitely could celebrate many occasions here, you would be just as welcome for a casual meal.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.38125; Sentiment_Subjectivity (from 0 to 1): 0.644791667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am always a bit reticent to try "fancier" pizza places.  But no one should fear trying the pizza at Rubirosa.  Outstanding!  They are very accommodating - you can get half of one pie, half of another, on the same pie.  I think at no additional cost.  The sauce tasted like it was made that morning with tomatoes fresh off the vine.  The toppings were also fresh from the garden. But also truly outstanding here is the pasta.  I rarely order pasta at restaurants because it seems so easy, so unremarkable.  I have been mistaken in this belief for some time, I believe.  If a place makes their own pasta, I think I need to be more openminded. If you can scope whether their pasta is excellent in advance, all the better. Here, the pasta is outstanding!  The flavor is really different from the ordinary pasta you are likely used to.  Fresher.  And the ingredients in it, like the pizza, are really fresh. Only thing I ordered and could care less for - the duck bruschetta.  I just was not into the duck at all.  However, the shrimp bruschetta was really tasty.  The shrimp was perfectly cooked.  Kind of hard to eat though. Service was nice.  Our server was laidback, accommodating, chill.  I felt like I'd want to be friends with her. As one from DC where prices are a bit lower than NY, generally, I was really pleased with how affordable Rubirosa was, too.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.288988095; Sentiment_Subjectivity (from 0 to 1): 0.640178571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 guys who run the place are very nice and accommodating, even splitting a soup into two portions for us, then comping us a third portion when an unexpected friend joined us. Absolutely unnecessary, but a good way to win customers. The prices are fair with most apps around $6-7 and entrees in the low to mid teens. We found everything to be good, but I thought some of the flavors were a bit muted. But then again, my taste buds are probably desensitized due to my Queens eating habits. Shisho peppers with 4 salts (smoked, wasabi, and two more I don't recall). $6 for an ample portion. The salts are pretty fancy and tasty, but I thought the peppers could have used more char on them (but that's just me). Lamb belly $7. I'm so used to the various cumin and pepper lamb versions in Flushing that I found this to be a bit lacking in spice. I don't remember tasting any cumin, although the lamb flavor itself was good. Anyone serving lamb ribs/belly/whatever should take a field trip to Fu Run for the Muslim Lamb Chops for inspiration. Cold mushroom soup had a very rich texture and flavor of mushroom and olive oil. It was served with a couple of deep-fried mushrooms which went well with the soy dipping sauce and green tea salt. Mussels in white wine and chamomile had a very subtle flavor. The mussels were very tender. "New Zealand" Duck is so named because it is served with kiwi fruit, as well as fennel. It came out medium rather than medium-rare as expected, but was still tender nonetheless. The pieces I had were crispy, salty and tasted like duck bacon. The lightly caramelized fennel paired well, but the kiwi didn't really seem to belong. I didn't taste the sansho at all. The twice-cooked fries were good and elevated by a drizzle of sesame chili oil. There's definitely some creative thought and ambition behind the place. I can only see the quality of the food getting better. I wish them the best.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.238103832; Sentiment_Subjectivity (from 0 to 1): 0.56631016 [/INST] Not Spam</s>