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: Decent ramen, blah service, expensive coke. Stick with water. Coke comes in small glass bottle for $3. Bf got wahoo which was much better than the basic pork ramen. I wish I had gotten that. And cash only! Who does that anymore?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.013888889; Sentiment_Subjectivity (from 0 to 1): 0.565277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 live in the neighborhood and I love this place.  Started going awhile ago before everyone found out that it was awesome and now a little harder to get seated quickly at brunch.  But well worth the wait.  All the food is delicious and executed perfectly.  The best croque madam I've had anywhere.  Love the savory crepes.  Also, they make a super sugary and yummy french toast but I think they forgot to include it on the menu, so just ask for it.  Also,  in the winter treat yourself to a hot chocolate with whipped cream.  Love. I'm crazy about them for brunch, not so much dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.362678253; Sentiment_Subjectivity (from 0 to 1): 0.548039216 [/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: Wow. ! Brunch is awesome:) I really enjoyed the food & drinks.  Waitress was really nice which is plus . Myself & boyfriend shared a great experience and meaningful meal here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I met friends at Diner for drinks. Pickings are slim if you want to order wine by the glass. One option each for red, white, etc. There are lots of bottles with options priced in the mid-30s up to the 100s though. The wine prices are steep for what they are and compared to other bars in the neighborhood that have much better wine. The atmosphere was cozy, dimly lit, and yes, loud, but not so loud you have to shout. It pretty much hits the sweet spot. The service was a bit slow - we did resort to flagging down our waiter. The cocktails seemed to be a crowd-pleaser. Reading the other reviews, I think if I go back I'd have to try the bloody mary (available during brunch) and the food. It sounds like that's the real star here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.027469136; Sentiment_Subjectivity (from 0 to 1): 0.457716049 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Came here for dinner with the BFF. Made reservations, this spot was packed. Firstly, the staff here is AMAZING. Forget about the food for a second. Just think of home, and how comfortable it makes you feel. This is the atmosphere here. -never without drinks/napkins -super friendly and warm -chef and owner both came around to ensure that the experience was great Secondly, the food is DELICIOUS. -lamb lollies -mahi tacos -burger -calamari These were all great. The only thing I had an issue with was the amount of cabbage on the tacos..but flavors were on point! Lastly, the combination of the two points above make for your ideal dining experience.. Which is what we had. Go here. Now. :); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.415196078; Sentiment_Subjectivity (from 0 to 1): 0.592156863 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is rad. Highly recommend the zatar!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My date took me here for our first date. His friend recommended this place. This place is a gem.  We waited for a few minutes for a table only. Let's start with the food.... The Buffalo Shrimp - The sauce was a bit salty but the shrimp was crispy and crunchy. My date had the Fish & Chips "British Style" - It was delicious, flaky, tender and a thick cut. I had the Steam Mussels with garlic butter- OMG!!! The mussels are plump and juicy! Excellent broth with the garlic bread. If you are looking for a white that's not too sweet or dry, try the Riesling. That is so yummy! Service: Will was our waiter. He is phenomenon with his manners and his job. He was very helpful with our food on the menu, he's quick, attentive and smiles through a busy night. He is amazing. Best waiter! I would highly recommend this place for first dates or a night out with your man or woman. Nice atmosphere. The only reason why I didn't give it five stars is because I wish the establishment was bigger other than that this is a great place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256633832; Sentiment_Subjectivity (from 0 to 1): 0.558985507 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can't say enough good things about this place. I love L'Artusi! WOW... What a jewel!!! Glad that this place is getting the attention it deserves. If you are in this neighborhood, GO HERE. The interior of the place is warm and cozy. We had delicious fresh Fluke Ceviche and perfectly cooked Orechiette. Fluke Ceviche was outstanding, just melts in your mouth, it is that fresh. Orechiette with sausage - delicious, spicy and full of flavor. Portions are just right and not too small. The staff was MORE than willing to walk a newbie such as myself through the different textures, tastes. I think when a place nails it on everything they serve at a reasonable price, they deserve a five. The food alone would make us repeat customers, but the staff is also A+! I will absolutely be back. I have nothing bad to say.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.313305512; Sentiment_Subjectivity (from 0 to 1): 0.653364389 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 zillion points for having a bomb ass vegetarian ramen that's not pork broth based and not an afterthought! The presentation is beautiful- really brimming with colorful veggies that made it clear from the get go that Totto stands behind their veggie ramen. Given that 99.9% of ramen spots focus on having amazing pork and/or chicken broth, most give little to no attention to making an amazing all-vegetarian ramen, which makes trying to get ramen (one of my favorite things to eat ever) with my vegetarian boo a lame outing when they get stuck with lemmemakethisrealquick uninspired shoyu or miso or salt broth ramen. Totto Ramen changed all that! We came here after seeing a B-way show (otherwise, why would we be nearby?!) late at night a few days before the 'Blizzard of 2010'. The large cups of sake we had left no buzz but help extend the internal warmth that the ramen already had going for us. The combo of fresh noodles, simple, focused & limited menu, perfect sizes, and overall freshness definitely puts Totto on the top of the list for NY ramen spots vs. Momofuku/Ippudo/whateverelseusuallycomesin3­rdplace. YUM.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.104964286; Sentiment_Subjectivity (from 0 to 1): 0.53247619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Having lived in west Africa, I really learned to love Lebanese food.  (Many of the business owners there are Lebanese).   But the food is not commonly found in the US.  Bombing Marines barracks probably did not help matters much.  It's a shame because the food is really good.  But usually there isn't much attention given to presentation, and the flavors are not especially complex, so it ends up making for great comfort food.   But illili is the first restaurant that I ever been to that actually tries to present Middle Eastern food in an upscale way.  On the execution, I think they largely succeeded. I began with the complimentary dadne.  It was very simple and nicely done.  The oil was of good quality, and the selection and taste of the olives were good.  The chips looked like they were made in-house as well.  Good start. For the appetizer, I had the hummus ($7).  The accompanying pita was served piping hot, and it was very airy and delicious.  The hummus was nice, but it did not have a distinct flavor that I would have preferred.  Hummus should be bolder. For the entree, I opted for the rouget.  This was elegantly presented with the fish head and attached skeleton dividing the bowl of sauce and the 4 "fish sticks".  The fish, while fried, was just delicious, and all of the original flavor was -- amazingly -- preserved.  This was very nicely handled, and the sauce was delicious and fitting.  My complaint though would be that the 4 samples of fish hardly amounted to a full entree.  This is really more of a tapas dish.  At $17, I would have preferred more protein content.   Decor:  dark, elegant, seemingly upscale, though the fractal pattern in the wood did not vary enough to be consistently interesting. Service:  not so good.  I had a gruff waiter who was otherwise indifferent to my table.   Other quirks:  $8/bottle for water -- really?  I should have just had a beer which was only $7.   Lovely, elegant food, but not very filling and not very good service equals 3.5 stars.  The food was great, but everything together, there wasn't enough to want me to go back right away.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.32674264; Sentiment_Subjectivity (from 0 to 1): 0.54981685 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Way too noisy and the communal seating is way too cramped.   The meatballs are nothing special at all..tried the spicy pork which were ok but the classic beef were just boring.  We also tried the parm cream and spicy meat sauce..all just ok Don't believe the hype about this place the food is mediocre at best.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.146258503; Sentiment_Subjectivity (from 0 to 1): 0.576870748 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Becco is great!!!  Osso Bucco, amazing.  Lydia's marinara OMG!!!!!!!  Becco is bustling pre-theatre, make sure you have reservations and be prepared for the crowd.   Otherwise go around 8pm when everyone is at the theatre!!!!  It's like a different restaurant!!!!  Love sitting at the bar for dinner too, the bartenders are great!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.748148148 [/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: We had the chef's tasting menu. It was steal at $50 per. The standouts were the croquettes (maybe the best thing we ate all trip), watching the chefs cook in front of you as we sat at the bar, and the brioche dessert with berries. Just go!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I enjoyed my first visit here.  It was hard to eat the soup dumpling but its a fun experience trying to figure it out.  It was definitely yummy!  We also had a beef/scallion dish that was good and my friends sesame chicken was yummy.  We shared a table with others, not a big deal.  You go for the dumplings and the experience.  Try a massage while you are down there!  Might as well!  So cheap!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.111527778; Sentiment_Subjectivity (from 0 to 1): 0.491388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got to say im dissapointed after hearing all the hype not to say the pizza wasn't good but i think it was just over hyped and to expensive but with all the talk about the place he can def get away with it... and i understand he uses evoo, three different types of cheeses and reggiano Parmesan its i guess wen ur Italian u expect theses kind of ingredients and i wasnt thrilled; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.233333333; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/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: As a Puerto Rican... Born and raised, I have to say it is very difficult to find good latin food in the city. I came across a great restaurant two years ago in the Financial District area with a great ambiance, but there is not much in the area to do. Hell's Kitchen offers so much more opportunity for bars, clubs, lounges, shows... It's a great place to have a restaurant! And now Havana Social has opened! This place is by far way better than the other  ones that previously opened their doors here. The tables, floors, simple yet sophisticated latino decor is perfect. makes me feel like I am in San Juan. I love the food and the host and staff is a delight that is constantly trying to make sure you have the very best experience! the music is relaxing and soothing, helping to make your dining experience so much more enriched. I have eaten here twice, each time happily spending close to or over $100 for two people including drinks, appetizers and main courses! Our first time we had the red sangria with tostones montaditos, calamari, and ribs as appetizers. The plates are so well placed, the sizes are perfect... Maybe on the more than less side of the balance. the calamari I unique as they add the special sauce and sesame seeds! It's seriously one of my favorite calamaris by far!! A must try!! Their ribs pull off the bone with ease and the sauce it's cooked in really adds a savory experience. On our second visit, we tried the arepas which surprisingly were not fried but instead they were grilled and topped off with a fresh cut salad and meat!! Delicious!! And the malanguitas which were shrimp covered in taro roots mash and fried and a special sauce. We also have had three main dishes here. The ropa vieja, the chuleta, and the pork loin! My very favorite is the chuleta which is prepared with a personal recipe of Eddie (the restaurant's owner). OMG!! I was hesitant to order the chuleta because I prepare this and usually if fried, they can be a bit dry. This chuleta is so succulent and moist and cooked in a marinade with Sofrito and did I mention it is moist and thick piece of meat!! The prices are on point and the flavor is unforgettable! Easily one of my favorite latino food restaurants ever! Last, but not least... they make a special drink here that we usually make in Puerto Rico for the holidays and take much pride and joy in, the infamous Coquito!! Now, as mentioned, I grew up in the Puerto Rico, and this is no joke of a drink! Preparing it is quite a process and if you go over-board with any of the ingredients, it just won't be as good. Eddie has made this drink into the perfect dessert/sipping coconut drink you will ever try!! So good not to have to go back home for this amazing drink! I hope this place stays open for a long time and I definitely recommend it to everyone! Their menu is amazing, and as they evolve, some of their menu items might change, so make sure you visit them and try their tapas and main dishes before you miss out! An added plus: instead of bread or a salad, they come up with unique starter plates on the house when sitting down for dinner to help open up your appetite! So it's a good idea to come around every now and then to see what arrives at your table! Finally, they are beginning a brunch in October. I am looking forward to trying it and will update my review with my experience! This is a great first date type spot, not over the top, but definitely not below! The food is great, sangria is amazing, and the ambiance is comfortable, clean and welcoming!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.323591502; Sentiment_Subjectivity (from 0 to 1): 0.571184524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chicken and rice cart with exactly zero frills. We got the chicken and rice to share. Even though it is $6 US, there is a lot of food and we actually shared one between two of us. Don't expect courtesy or much in terms of service as they've got a long line and need to keep it moving! Tip: Wait in a long line and check out the menu on Yelp before you order. There are only about four or five choices, so it should be easy (for you indecisive peeps like me) and will help keep that long line moving.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.047916667; Sentiment_Subjectivity (from 0 to 1): 0.548333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I hate writing reviews. Especially when whatever I contribute will be lost in the pile of 187 wildly descriptive reviews but I felt the need since the operators of Traif (Heather and Jason) have become my ace in the hole spot if I need to impress a girl. The food is beyond spectacular; everthing on the menu is phenomenal. Jason pulls inspiration from all over the globe. And it never fails to impress. The prices are sooooooooo affordable. $15 for a slab of foie gras, try getting that in manhattan (oh and it's the most expensive thing on the ever changing menu!) Anyways, take a date and watch her try to contain herself. Just try to get some of the credit for finding the place as my date kept talking about how if she could find a guy that could cook like Jason she'd be his slave. I need cooking lessons...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.065625; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had my retirement party at Tony's in May and they did an excellent job. We had a minor snafu with table being ready but they quickly addressed it and gave us excellent service. Food was great and plentiful.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.547222222; Sentiment_Subjectivity (from 0 to 1): 0.658333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 saving grace of this place is that it's in a touristy area so u feel like u've found a hidden gem of authentic ethnic food in a jungle of burgers and pizza...and we were starving. so i inititally thought this was fabulous! but as i regained consciousness the more i ate, the more it felt very heavy and greasy. the peppered beef dish in particular tasted kinda old, maybe they just made it, but the meat tasted cheap and old. the ceviche though *was* fabulous! didnt get tired of eating that at all. i'd say not bad given the area ur in. and u get to hang with real new yorkers! not tourists! :D but there is better cuban food out there. esp in new york i'm sure!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.298386995; Sentiment_Subjectivity (from 0 to 1): 0.614365881 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I did not like this place 1. I don't like ramen to begin with 2. Quoted a two hour wait, after an hour they said they were ready, still waited like half an hour before we were seated 3. They took my empty water bottle because "outside drinks are not allowed" wut 4. NO VEGETARIAN RAMEN WTF. They said they start having vegetarian ramen on Monday. Wtf are they thinking?! 5. I barely ate any of my ramen and wanted to take it home. THEY DON'T LET YOU TAKE THE FOOD HOME. WHO DOES THIS!??! So annoying. 6. The bill was almost $100 what kind of crazy ramen place is this?!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.206354167; Sentiment_Subjectivity (from 0 to 1): 0.601666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As a neighborhood go to bar this place is off the charts, but it is far from fine dining. Taking your date to a loud, outdated bar/restaurant is absolutely not a good idea. Stopping by for a burger & a beer with your buddies would be ideal if you can get past the sea of ppl waiting for a table. Only in NYC do you have to make reservations to a bruger joint. Service is prompt. Food is good. They cater to ppl with food allergies. Overall a good experience, just nothing to write home about.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.174242424; Sentiment_Subjectivity (from 0 to 1): 0.634848485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Chicken and rice.  Sounds boring but somehow this food cart makes it the most exciting thing. evar.  To this socal girl, chicken & rice is quintessential NY, maybe how the "ghetto dog" is quintessential LA.  My first experience here was after a late night of partyiing in the city.  And as everyone knows, drunk food is the best food.  However, I decided to give it a second go sober and see if it was really as good as I remembered.  And alas;.. it was!   Get the combo plate w/ chicken and lamb, drench it in white sauce, add a splash of red sauce (spicccyyy!) and you're good to go!  Tons of food and it'll only set you back $6.  Ample "seating" everywhere, among weirdos and pigeons but it's ok, you're in NY!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0125; Sentiment_Subjectivity (from 0 to 1): 0.564166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this afternoon to satisfy my craving for chicken and waffles.. I must say, I was blown away by the food. The chicken, the waffle, the corn bread, the collard greens.. All of it. Absolutely delicious. Took one star off because while the server was nice, we didn't see her for a while after she took our order. It also took a while to flag someone down for the check as they sat us in the back and our waitress didn't come back there that often. Its half a block from the 2/3 subway and ill def be coming back again. Overall a good experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.023148148; Sentiment_Subjectivity (from 0 to 1): 0.496296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just overrated.Although the fries were  fresh out of the deep fryer they still managed to get  half  soggy.I have lived in the Benelux countries for some good years and I have eaten a lot of fritjes:))those just didn't raise up to the occasion.Very average.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.136666667; Sentiment_Subjectivity (from 0 to 1): 0.413333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 RUDE FRONT GIRL. used to LOVE this place, have been twice in last month. There is a very rude girl working the front "seating" arrangement. I wish I could describe her more than that Dark Hair, had more of a personality fitting for maybe Best Buy- When you encounter her, you will know. Too bad, great fries, mussels and beers. Had a repeat issue and with different groups of friends with the same girl. We just will not go back, I will literally walk out if I see that girl working there anymore- hate to be that way, Lobster Night used to be special, maybe the sweetheart of a manager will see her for who she is.. Ahh Petite Abeille we go way back....Please get rid of her so we can enjoy you!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.147552521; Sentiment_Subjectivity (from 0 to 1): 0.502338936 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My girlfriend and I ordered 5 dishes and wiped every plate clean. Enough said.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.183333333; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best, if not the best, and well-considered meals I've ever experienced.  Each course was unique, beautifully presented, delicious and presented in a laid-back and warm atmosphere. Definitely worth the splurge.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.740625; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Im Venezuelan and am a big latin food snob. After returning from a fam reunion in Venezuela, i only wanted to eat the most AUTHENTIC venezuelan food, NO exceptions. There is not an abundance of venezuelan restaraunts in NY as there is with mexican, dominican, cuban, even columbian. So i had to do research (2 years ago, before i knew about yelp) and had few options to choose from. Luckily i chose the best one. Ive been a regular ever since. El cocotero is small, intimate and straight forward. Little tables, little candles on the tables for a nice ambiance, some corner booths, but BIG dishes with big flavor. Authentic Venezuelan food and flavors. Decently priced. Customer service is good, but then again i speak to them in spanish so i dont know if they show me extra luv for being a native. Cant go wrong with any of the arepas, or their arepa sample with yuca fries. I always get their pabellon, the traditional Venezuelan dish with shreded stewed skirt steak, carajotas (black beans) rice and plantains. As many sides of sliced avocados as my little heart can request. I am ADDICTED to avocados, i love to eat them with everything, i request them everywhere weather it seems like they will have them or not, but whenever people have them, they automatically get extra points in my book. I always have the jugo de parchita (passion fruit juice) with tons of refills. For Desert, i usually have the quesillo or the tres leches. Theres a big Venezuelan flag, they play local folk music.  And for one night im in Venezuela and eating the way god intended me too again.  During christmas they have the special holiday dishes from Venezuela to purchase and take home: Pan de jamon and allacas. If your tired of all the tex mex, "mexican" food craze bullshyt and youre ready for some REAL spanish food, authentic Venezuelan food is just delicious, if you enjoy flavor, you CANT go wrong with anything here. If your main focus is just arepas, stick to arepa bar, but if u want entrees and a full dining experience, come to el cocotero. I would give it 5 stars but im kinda bougie and spoiled and would require a little more luxury and modern sexiness from the ambiance before i give up that 5th one. But if it was more luxurious and sexy then it would take away from the well rounded authentic experience. Bottom line, this place makes me happy :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.168406593; Sentiment_Subjectivity (from 0 to 1): 0.489711891 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am a meat lover and this is my paradise. This place is no frills. I want to be here now and have some of those juicy ribs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a great gem.  They don't have much space but this is the place I was introduced to THE CORN.  You can't go there an not eat it.  It's a must have.  I had the fish tacos recently and they were just as fresh & good as any place on the west coast.  The Hibuscus tea is purple and refreshing. Definitely recommend others to try this spot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.357142857; Sentiment_Subjectivity (from 0 to 1): 0.542857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Out of all the street food carts roaming on the streets of Manhattan, this was the only cart that made my mouth water as I walked by. The lines for this specific Halal cart is ridiculous! People are literally squirming around 53rd and 6th, and waiting in the cold to get a taste! I personally think the food smells better than it tastes. I got the chicken plate, which comes with lettuce, rice, and pita bread. People have warned me about choosing between their red and white sauce (the ingredients are unknown to man). The smell of the red sauce burned my nose, but I was too curious not to try it. It's no joke. The red sauce will have your forehead dripping SWEAT in 20-degree weather. Just go with the white sauce -- it tastes better with the plate anyway. The halal cart reminds me of an upscale Taco Bell. The meat is definitely tastier and better cooked (what's in Taco Bell meat, anyway?), but the rice and iceberg lettuce was basic. The pita bread was ok, but if you dip anything into that white sauce it'll instantly taste better. I think what really saves these carts are their special sauces. You can't get that sort of stuff at your local Taco Bell.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.043619048; Sentiment_Subjectivity (from 0 to 1): 0.42152381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for almost as long as the place has been open.  for 9 out of 10 times, everything is just perfect.  i don't get to make it out much, but when i do go, its an utter delight.  i miss the fried oysters.   presentation is a+, as well as the hospitality.  i'm a sucker for that, and they have it right on the dot, for both while you are there and are not. the wine program is an absolute must.  my favorite is the chateau musar.  has to breath a bit, but thanks for introducing me to that.   i've only done the dinner, though i've heard nothing but fabulous things over brunch.  next tiem i can make it over, i'll add my recommendations.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.187362637; Sentiment_Subjectivity (from 0 to 1): 0.656593407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: maybe better for vegetarian~hard to eat and I find it is not so delicious as expected~; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/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 met up with some friends here for drinks. I ordered a milk stout and a spicy rum drink. Both were very good. The ambience was nice too and the prices were nice for NYC. I didn't stay long, but I'd be willing to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.385; Sentiment_Subjectivity (from 0 to 1): 0.655 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm love to eat meat, but not fatty port.  However, I would made an exception just for this shop.  I love hot pot and their small hot plate.   The restaurant is a little small, ok decor and try to make reservation early.  Also, you don't want to eat too late because you know reservation don't guarantee on time. Furthermore, it's not a bad place to have a date (not first one) for two people.  Perfect portion meal. Give it a try and bring your non-port eater there, then you might change their mind : ); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My first attempt to dine here was unsuccessful on a weekday evening around 9:30pm, when the wait was about 45 minutes and we were starving to death.   Take two: 6:00pm on a weekday.  Perfect!  No wait, and by the time we were halfway done with our meal, the notorious wait had commenced.  Bingo! I started off with the spicy chicken wheat flour empanada.  It had just the right amount of spiciness and the chicken was moist.  I loved the red and green sauces that came on the side.  These are pretty tiny, about 1/3 of the size of the homemade empanadas I had in Argentina for $1, but hey, they don't have any overhead there! For my main course, I had the cuban arepa.  Looks can be deceiving: I first thought "That's it?  I'm going to be hungry after this tiny sammie".  Surprisingly, I couldn't even finish.  This hot little sammie is packed with shredded pork, black beans, melted cheese and enveloped in two corn patties.  I made sure each delicious bite had a good dousing of the red and green side sauces.  Yummm! We couldn't resist the milk chocolate and banana empanada with ice cream and fresh whipped cream for dessert.  Perfect way to end the meal and good to share between the two of us. Service was good: our water glasses were always filled.  The only thing was that I felt a little rushed when the crowd started to arrive.  We got our bill without being asked if we wanted dessert, but I told our server that we did and a menu was promptly brought to us. Can't beat the price!  It was about $14/per person for an app, main and dessert. I can't wait to come back and sample some of the other items on the menu, but I'll be sure to come during non-peak hours.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225924423; Sentiment_Subjectivity (from 0 to 1): 0.58500481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is pretty good - the menu is crazy large. The service, though, not so great. But then again, who goes to a Thai restaurant for service? It's all about the food. It gets pretty packed though, so definitely recommend going there early and/or making a reservation. There aren't that many reasons to go to Queens, but I guess you could justify the trip by eating here. :); Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.271428571; Sentiment_Subjectivity (from 0 to 1): 0.697857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 basement gem is my izakaya of choice at the moment, putting Taisho on hold. Expect to wait if you didn't plan around the crowds, but the line moves fast.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I went here the other week.  I live on the same block and have been eager to try it since I first moved here 4 months ago.  First of all, the waiter was so knowledgeable he helped make the experience.  I had never had New Zealand cuisine and he explained everything.  I love learning so this waiter rocked.   We ordered the cheese plate to start and the New Zealand biscuits (ANZAC) we learned about actually taste like an oatmeal cookie.  We were also treated with complimentary soup from the Chef.   It was some sort of cold clam soup with popcorn- delicious mix for the palate.   I ordered the lamb which was cooked to perfection as my friend ordered the fried chicken.  We were both satisfied.  We sat outside and had such a nice and relaxing time.  I highly recommend this place for a date or special dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.157959672; Sentiment_Subjectivity (from 0 to 1): 0.546694008 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch after our tour of soho, little Italy, and Chinatown. It's a nice big restaurant, so it was nice to not have to wait. Service was fast and efficient. We ordered a large margarita pizza with sweet Italian sausage. I loved the fresh mozzarella slices and the nice crispy thin crust. Basil was fresh and definitely made all the ingredients come together. It was $30 for a large pizza with one meat topping, which is a decent deal, but It didn't fill us all up; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.228608631; Sentiment_Subjectivity (from 0 to 1): 0.595238095 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been to this special Thai restaurant twice, and the only reason I'm giving it four stars is because of my relative disappointment with the first dish I ordered. The first time around, I ordered tilapia sauteed in a spicy (hell yes!) chili sauce with eggplant. Though overal it was ok, I was disappointed at the excessive oiliness with this particular dish, as well as what ended up being a rather tough bunch of eggplant half the time. The second time (a.k.a today), I ordered Chinese broccoli sauteed with saltfish with a side of brown rice. At $8.50 all together, I found this to be a filling financial freebee, with plenty of spice (and saltiness) to make me finish the whole damn thing! Needless to say, it was one of the best things I'd had in awhile despite its rather simple-sounding name. On both occasions, a friend ordered sauteed drunken noodles with chicken. One loved them, while the other was not impressed with what she believed would be "Thai spiciness," nor was she impressed with the $9 price tag. For dessert-to-go, I indulged in a $3 "Kao Neo Tad." With coconut cream, custard, salty sticky rice, and a bean topping, it was truly fabulous and very unusual to me. The rice, dense as a cheerleader, was topped with a snow white coconut paste that melted in the mouth. Right next to it, nestled in the container, was a tan-colored, coconut-y and gelatinous custard with a slight egginess that tasted even better when paired with the slightly salty rice. I must try their other desserts, and you should too! With most of them at $2.50 for ample portions, it's impossible to go wrong with their endless variety of custards, jellies, and confections. As far as the service and atmosphere are concerned, they couldn't be better. The servers can speak English and are attentive, pouring water as if their own arms were faucets. Knowledgable of what's on the menu, they're great at giving recommendations (and warnings) for those unsure of what to get. Despite the huge flat screen tv, the place has a cool, clean vibe that is spacious but never feels entirely empty. Luckily for me, I've only come when it isn't crowded, and haven't dealt with what I heard are interminable waits. I cannot wait to come back and try the plethora of desserts, as well as some of the more unusual dishes on the menu. The Cha-om omelet seems fascinating (at least the extremely helpful picture menu makes it seem so). An update as of 2/8/08: I purchased three more desserts. One was sweet sticky rice topped with a magenta-colored, garlic and parsley-zinged bushel of shredded coconut: divine and assertive. Fried onion atop a coconut cream custard proved indistinguishable, but I still enjoyed this treat warmed up for breakfast. A stick of preserved durian paste was an experience I hope never to get involved in again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.118452039; Sentiment_Subjectivity (from 0 to 1): 0.575841544 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lived in China for most of my childhood, AND my mom's favorite food is dumplings and makes it often, so I definitely know what a good, authentic dumpling tastes like. Prosperity Dumpling, you are a terrific bang for a buck, but I wouldn't say your potstickers are as good as my mom's, and the reasoning is mainly in the filling. You'd never find a potsticker in China with such a high content of fatty pork, especially when it's going to be pan-fried in oil! People there eat like, 20-30 dumplings or potstickers each for celebratory meals, and that can't happen when their potstickers have huge puddles of oil inside. I'm sure many customers find the high fat content PLUS what I detected was an extra splash of sesame oil super appetizing, but this factor made me full and a little nauseated by the third potsticker, when I could easily eat 6 of a leaner variety. Maybe the dumplings have different filling, but I wouldn't know/care; I crave the crunchy pan fried bottom of a potsticker and don't have near the same affinity for dumplings. I do love my dumplings and potstickers with thick, chewy yet steamy skin. It's an important indicator of a freshly home-kneaded dough, and Prosperity Dumpling obviously does this right. I also had some of the fried bun-shaped potstickers, and I call them potstickers rather than pork buns because the filling appears identical, which is another faux pas if I'm correct... OH WELL, it's really delicious nontheless, don't be swayed by my overly critical review, because this truly is way better than your average dumpling place!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.213893179; Sentiment_Subjectivity (from 0 to 1): 0.5902145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Kefi is delicious..tons of fresh seafood. You must try the grilled squid, it's shockingly tender! The only downer about this place? You are practically sitting on someone else's lap, making the overall experience somewhat uncomfortable. I  would never come here on a date. Though the food was amazing, I think I would only come back once the buzz has died down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.083950617; Sentiment_Subjectivity (from 0 to 1): 0.632098765 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Friendly place to hangout with friends,Service is flawless and the food was great. I ordered the Crab Corn Chowder and Cod With Capers ,my friends order Seafood Chowder  and Salmon Chicken . Its so  delicious.I love this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4375; Sentiment_Subjectivity (from 0 to 1): 0.79 [/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 in a rush and in the theater district.  yet we went all the way to chinatown.  why two lobsters for $24. price was right and cooked very well.  fresh lobster with ginger and scallions coupled with strings beans and rice;  just the perfect formula on a cold windy night.  food was came quickly.  we will go back there again.  this sentiment appears to be shared with many others.  As we ate through the delicious dinner, the customers kept coming in a constant flow.  yet the staff kept the orders flowing quickly and smoothly.   nothing fancy but good comfort food at a good price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.368027211; Sentiment_Subjectivity (from 0 to 1): 0.56207483 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Juicy, juicy lobster in the middle of no where (Brooklyn)... It's simple, you order the lobster you prefer (I like warm with butter), you sit at a large table next door, and bam, you're satisfied... Proportions are just right, in my opinion!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.23877551; Sentiment_Subjectivity (from 0 to 1): 0.417346939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Arrived here after declining an eye-popping 3-hour wait at another brunch spot, and I am so glad we did! Jane is truly the quintessential New York brunch. We arrived at around 11AM, and were given the option of sitting at the bar or waiting 1.5 hours for a table. We opted for the bar, and while it was a bit cramped, enjoyed the opportunity to people-watch from where we were sitting. I ordered the Vanilla Bean French Toast, and BF ordered the Benedict Jane.  Both were excellent! The french toast was made with HUGE slices of Brioche toast about 1.5" thick. Amazing. Perfectly crispy on the outside and soft on the inside. The eggs benny was served with crab cakes and was out of this world! The potatoes and eggs and hollandaise were cooked to perfection and had a great mix of spice, salt and flavor. Jane is an awesome brunch spot and I'm definitely returning here again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.392424242; Sentiment_Subjectivity (from 0 to 1): 0.60530303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, but the service is almost nonexistent after ordering. Took over 45 minutes for a BLT and a salad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Vongerichten family can do no wrong in my eyes.  About a year ago, Jean-Georges passed executive chef responsibilities to his son, Cedric.  Who, in addition to devising a creative menu, is realllly cute.  I'd love a boyfriend who would make me warm molten chocolate cakes all day.  But, I digress... One would never guess that Perry Street once had a Michelin Star by its aesthetic.  The decor is very modern, very simplistic, and dimly lit.  The crowd is very diverse, which proves that the restaurant is not simply about making an appearance or being "seen." On that particular evening, we were surrounded by a family celebrating their daughter's birthday, a young couple, and a group having a girl's night out. I was very impressed with the level of professionalism of the entire staff.  Everyone was extremely attentive and willing to answer questions that we had about the menu. Because it was extremely difficult to decide on an appetizer and a main course, we opted for the tasting menu.  The portion sizes were very generous considering the $68 price tag - most of the courses felt as though they were full portions. Our amuse bouche was a butternut squash soup which was perfect.  It was an excellent taste of early autumn. The rice-cracker crusted tuna was the first course and also my favorite.  The tuna was just lightly seared and came with a subtle wasabi mustard.  I also felt that this was the most Asian-infusion inspired dish that we had over the course of the evening. The second course was a very large helping of fresh burrata cheese, with figs and foccaccia with a sweet spread.  It was good, but did not give us an opportunity to experience the fusion of two cuisines. The third course was slowly cooked cod in a vegetable ratatouille.  The cod was perfectly cooked, retained its juices, and just flaked with a fork.  The ratatouille had the faint hint of chili, which gave it just the right amount of spiciness. The last course was supposed to be lamb, but the kitchen had run out.  The fried chicken was the substitute for the evening.  I was a bit disappointed, as I would not normally want to eat fried chicken as part of a tasting menu.  This was a HUGE portion of juicy white meat; the batter used was delicious. The desserts were a small sampling trio: a lime meringue, a banana ice cream, and a miniature warm molten chocolate cake.  The ice cream was surprisingly light and more like sorbet.  All three desserts were divine, but there is nothing in the world as comforting as Jean-George's signature dessert, even in its smaller format.  The green tea and chocolate petit fours were also incredible and the perfect way to finish off an Asian-fusion dinner. Perry Street is on my list of places that I will continue to frequent for dinner and to scope out one of the lunch or brunch deals.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.230689223; Sentiment_Subjectivity (from 0 to 1): 0.597046784 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.. where have the times gone! i've been to this place 3x the past year and i live in MD! haha and yet i still haven't written a review! where have my manners gone... must be all the pork buns that i've been eating making me completely forget to yelp! *wipe hands* ok, now where to start... 1st time I came here, I was like why on earth do I need to go to a place for ramen noodles when I can simply make the packaged ones right in my pantry? right? haha.. oh silly me.. turns out that the ones in the package are bad processed food but ones in the restaurant are made fresh and oh so different.. well not sure if they make it right then and there but it definitely doesn't taste like your cup of noodles - that's for sure =D from the encouragement of my friends, we each got an order of pork buns.. O. M. GEEEEE - wow that stuff is sooo good! i mean better than duck buns.. the pork just literally melts in your mouth!  funny, my mouth always water whenever i think back on food when yelping - haha.. anywho, it's good, it's very good.   now onto the ramen noodles, i've tried the spicy ramen, miso ramen and the ramen won ton noodles - all good - VERY good.. my gawd, i want to go back again and that'll be in two weeks! haha.. i'm a bit obsessed now, can't you tell. if you haven't been, you should go but then again, don't let me hype it too much otherwise ur expectations would be too high.. so umm, yeah this place sux! don't go! but yeah go still =P If you don't go for the food, at least go for the enthusiastic greeting each time they take you to your seat.. they really love the ramen =D last two times I went were early mornings like around 11am and there wouldn't be much of a line.  Any later, you could be waiting for a good hr or so.  i'd wait of course but that's just me. I want my pork buns! =P; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236593123; Sentiment_Subjectivity (from 0 to 1): 0.547452201 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Super yummy soup dumplings and cheap cold beer were enough to get me here, and are probably enough to get me to come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.022222222; Sentiment_Subjectivity (from 0 to 1): 0.561111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Friggin Delicious! 64oz steask topped with butter, garlic  and parsely. The wings and lemon chicken devine!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 0.975 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Looking for parking took forever but it was worth the effort. There was no table initially so we waited at the bar. We each tried a different drink each one was better than the next....I bartended and these were truly works of art. We also ordered a few appetizers. The Guacamole was incredible. The empanadas were a little dissapointing the chorizo was sharp and tasty. The place is sexi and cool great feel, certainly a great place to go on a date. I do not recomend the shrimp ceviche....it was the only blight on a great experience(overly bland no zest that I was expecting). The waiter knew exactly what he was talking about and took pride in it. He recommended the salmon and made sure that it lived up to my expectation. The place is cozy with with a pretty bathroom even and the owner from Costa Rica thanked us for coming in when we were leaving and made sure we had a positive experience. Will return....and try some more drinks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.276100289; Sentiment_Subjectivity (from 0 to 1): 0.619360269 [/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: looked very good from the outside, but I was disappointed. My burger was terrible.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.21; Sentiment_Subjectivity (from 0 to 1): 0.645 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ethereal and cozy little restaurant in Park Slope.   It feels like you've joined a family in their fairy-like warm home for an inventive and delicious meal, made with love.  From sustainably sourced ingredients to the care with which they treat their customers (reservations highly recommended) makes you feel like a treasured guest.  I just love this spot.  Have never had a bad morsel of food or unsatisfying drop of wine, coffee, juice or tea.  Favorite dish most recently was a grilled rectangle of polenta - crispy, toasty and firm yet crumbly - topped with a braised mushrooms, a toasty/smoky African spice rub, goat cheese and sitting on top of stewed collard greens.  Delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2925; Sentiment_Subjectivity (from 0 to 1): 0.618039216 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Interesting decor with friendly service; Max_Daily_Reviews: 18; Sentiment_Polarity (from -1 to 1): 0.4375; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was at Table 87 last night with family. What an experience pizza was best in New York City charred just right as friendly waiter names Danny brought it fresh out of coal oven. Crust was thin and sauce and cheese evenly dispersed on pizza. Danny reccomended red wine for our table to go with pizza and the scene felt like I was eating a family dinner at my grandmothers home when I was a child. Table 87 is now my to to restaurant for friends and family. As I said earlier best pizza I ever had.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269707792; Sentiment_Subjectivity (from 0 to 1): 0.400692641 [/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: Recently stopped here for lunch and really enjoyed the shrimp and grits! Great feel to the restaurant. Can't wait to return with my family. The dinner menu looks fantastic! Will go back soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.385; Sentiment_Subjectivity (from 0 to 1): 0.52 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Killer!!!  Get the Goats neck and the smoked mussles!!! Had a great meal and it's a really cool atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; 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: I'm confused why it's hard to get reservations here. I didn't love a single one of the dishes I tried and won't be coming back.  My boyfriend and I both didn't like the wine we ordered (which we weren't offered a taste of), probably because it's mostly organic wines.  The puffy chips they serve instead of a bread basket were interesting and flavorful but the dining experience went downhill from there.  The pita bread is fantastic, but you can easily, and more cheaply, get that same bread from Taim.  hummus was okay, Yemenite pizza was okay, since anything would taste decent on their pita bread.  But I really disliked the Israeli street fair - which really did taste like something you'd get off the street (which I'd pay a few bucks for, but not the $16 asking price at balaboosta).  I also didn't like the short ribs, which were pretty flavorless.  I didn't get dessert because I lost faith that it would be anything special.  I gave four stars because the food was decent and better than average, just nothing special.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.216071429; Sentiment_Subjectivity (from 0 to 1): 0.522710623 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place rocks, fast service, great atmosphere, EXCELLENT FOOD!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/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: Quaint and cozy little wine bar with tasty tapas and attentive & friendly service.  My favorite was the eggplant!  Prices are very fair.  My friend and I were not rushed out and we did not receive the check until we asked for it, which I like.  The space is best for small groups.  I would return if I was in the area again. The restaurant has an "A" health grade rating too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3340625; Sentiment_Subjectivity (from 0 to 1): 0.66875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rated this place mostly on atmosphere. My companion suggested we meet for dinner here and even though I've been in the neighborhood for ovber a year, I never quite made it. In the summer it's packed, and (i feel) annoying. It was perfect for a cool, fall night for a beer and a sandwich. The food forced me to give it 4 stars, but if you go for a decent place to drink CHEAP ($2.50) beers and enjoy being outside with your friends, then you'll be happy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.251666667; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Spoiled bartenders that think they work at Sotheby's. Won't take tips if giving in coins and not bills or credit card. Disappointing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.6; 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: This was my final stop on a self imposed tour of NYC craft cocktail joints. My girlfriend and I showed up around eleven. We had almost decided not to come because the weather was awful, but were so glad we did. The whole place had a very relaxed but upscale vibe, and though it was a little crowded it wasn't super loud or obnoxious at all. We managed to get a table tucked in the back half, where we (well, I, since she's a vegetarian) enjoyed the hand cut steak tartare. I've had some rough experiences with steak tartare in the past, but I decided to give it a go, and this was DELICIOUS. Service was great, and our Amelia cocktails were even better. I'll definitely be stopping by next time I'm in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.134953704; Sentiment_Subjectivity (from 0 to 1): 0.551851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my hands down favorite restaurant in Chinatown. Come here for the food. Do not come expecting ambiance, unless your idea of ambiance is noisy crowds and waiters yelling across the room. Yes, it's a bit on the gritty side- you are in Chinatown after all, but the Authentic tasting HK style food is more than worth it. I am always a big fan of the roast duck and noodle soups which are very reasonably priced and offered in big portions. I took a group of four friends here during my last visit and we all came out "I need to adjust my belt" full for less than $30.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.173981481; Sentiment_Subjectivity (from 0 to 1): 0.421018519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There are plenty of reviews, but I also had to share my love for this place since it is one of my favorite places in the city.  It has such a cool, laid back ambiance and even the servers all seem cool and laid back.  Many of them seem to have worked there for awhile so you know the owner is cool guy and he is.  Also, he's from Italy (first gen).  He is there almost all the time so the quality is always consistent.  The pasta dishes are really yummy (parpadelles, black linguini, etc. etc.  all good).  and don't even get me started about their weekend brunch.  You won't find  better value anywhere, and the green eggs (from basil pesto) with polenta is out of this world.  It does get kinda loud at times, especially when there are people who love to dominate the conversation, and are missing the volume control gene.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.224166667; Sentiment_Subjectivity (from 0 to 1): 0.480833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dinner was delicious, filling, and didn't break the bank. Portions were on the "larger" side; Take for instance, the lamb ragout which could be ordered as an appetizer or an entree. I opted for the appetizer portion and when it arrived, it was definitely larger than any appetizer I had ever had. There was a huge dollop of ricotta that topped the lamb ragout pasta that made my belly smile. The crab croquette was nothing to write home about. I chose it over the Mac and Cheese because I thought it was the more "healthy" choice. I caught a whiff of the dish and was thinking about the gooey goodness the rest of the night. I highly recommend the duck breast done medium rare. It was juicy and tender and the cous cous and tomato chutney were great in accompanying the "gamey" meat. Also a great entree to share. For desert, your best bet is the warm chocolate cake. It reminded me of lava cake. I throughly enjoyed the molten, warm cake dusted with powered sugar with pistachio ice cream, which had real pistachio in it. Great ambiance and amazing service. I was late for my 7:30 reservation and they weren't upset at all. High marks for Rye!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.448; Sentiment_Subjectivity (from 0 to 1): 0.6115 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really enjoyable. Delicious food, good service, a photobooth, and fabulous company. Came here with a party of 7. My darling BFF miscalculated how many people we had and accidentally made the reservation for 6. The hostess was really nice about it and they gave us a nice table by the window. After so many reviews mentioned it, I really wanted to try the beer-battered string beans, so we started with that and the bacon wrapped apricot. According to others (not a bacon eater), the apricot was just alright but not wow-inducing. Apparently it had garlic, which was unnecessary, since the bacon added the saltiness it needed. The string beans, however, were addictive. The ranch dressing was the perfect compliment to the fried yumminess. For the entree, I ordered the Roasted Chicken Salad, which I thought would be chicken salad on top of greens, but was a salad with roasted chicken. It was better than mayo-y chicken salad. It had walnuts, apples, brie, and caramelized onions. The chicken was moist and fresh. The onions seemed a bit out of place but they still worked. The two girls that ordered the flounder both loved it, and the burgers were good, not too greasy, and came with shoestring fries. The prices were reasonable (especially in NYC), and overall a great spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235185185; Sentiment_Subjectivity (from 0 to 1): 0.724074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Mamouns for a decade -- I started at their New Haven location, and I've been eating at this spot ever since... I think the falaffel balls are sometimes not as fresh and crispy as they could be, and generally they're overseasoned -- but I frequently find myself here ordering the falaffel platter, the price is just too good to resist... Their hotsauce is very hot but that's about it... The overall size of their sandwich isn't extremely generous, about 20% smaller than available across the street... Their baba ghanoush is just okay... Their kefta kebab is fine... Their schwarma is good... Their chicken kabob is delicious... Their baklawa is pretty good... I've been here many times both late at night and early in the afternoon, the service is always fast and the food is consistent... A few of the servers here are rather attractive... The one thing I really don't like about this is that the clientelle, oftentimes sitting in their Escalades outside blasting music, can be a bit confrontational and offensive.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.246270396; Sentiment_Subjectivity (from 0 to 1): 0.538636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Like a previous reviewer said, this place is *small*. It's so small that my 3 year old, who is pretty small herself, remarked on how small it is. It gets crowded and hot and loud. That said, $3 DRAFTS!!! I love talking about my 3 year old and happy hour in the same paragraph. A+! $3 pint of Six Point IPA. A tasty po' boy. Fries portions are insane. Actually, all their portions are enormous. I was on a gluttonous eating spree when I was there and devoured everything in sight, but on a normal day, my order of po' boy and fries would have been enough for dinner and lunch the next day. Great joint.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.048932292; Sentiment_Subjectivity (from 0 to 1): 0.522083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When there's a line around the block you expect the food to knock your socks off, am I right or am I right? We waited half an hour outside, which would have been fine except that after we ordered it took an hour to get our pizza. It was fresh and the crust was delish but the overall experience left us wanting more. The wait combined with the grumpy staff was not fun and then we were underwhelmed by the food. I know it's New York, I get the attitude, in fact I kind of like it, but when your customers are all hungry and anxiously waiting for hours, the least you can do is pretend not to be annoyed. Would have all been worth it if the pizza was better. Sorry Grimaldi's, I wouldn't leave this review if I thought it would make that long ass line go away, but I know it won't.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.079357485; Sentiment_Subjectivity (from 0 to 1): 0.449612668 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place is definitely overrated. it's a tourist destination and cash only. not much that i would recommend from the menu, but a pitcher of sangria !; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.041666667; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Breakfast special = $6.25 Can't beat it, fills me everytime and I crave nothing more. Sitting outside is wonderful and the service is almost always great. There's one waitress who seemed a little displeased to wait on her customers but I won't go naming names. Other than that everyone who's served me there has been absolutely wonderful and I see myself going back there for years to come. Check it out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.371626984; Sentiment_Subjectivity (from 0 to 1): 0.527380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Hummus and Pita last week and I absolutely loved it. The service was great and the food was fresh and delicious.  The chicken was tender and tasty and the falafel was perfect. Another great thing about this restaurant is the pita and laffa bread is made on site so it is warm and ready to be filled with their variety of ingredients. If you aren't familiar with the ingredients they are offering you don't have to worry...the staff is extremely friendly and will explain what everything is and even how it is prepared.  Not only is the food great but the restaurant is clean and has an extremely comfortable environment. The only negative thing that I can say about this place is that it is not closer to where I work!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375877193; Sentiment_Subjectivity (from 0 to 1): 0.70877193 [/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: We keep going back to this place. Simply: a wonderful ambience (the fireplace is lovely), great food and excellent, amiable service--it's a great value. The house wine (@$12 a carafe! I think it poured 4 glasses) is very drinkable. Eggplant tart is excellent as is the coq au vin.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6875; Sentiment_Subjectivity (from 0 to 1): 0.69375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wandered in here randomly with a friend from out of town a few weeks ago and was very impressed!  The place is tiny but it has as cute atmosphere and friendly service.  My friend and I both ordered the three cheese portobello salad, so this review is fairly biased, but it was seriously one of the best salads I've ever had.  The portion was a little on the small side, but still left us feeling very satisfied.  I highly recommend this place if you're looking for a cute little lunch spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.201666667; Sentiment_Subjectivity (from 0 to 1): 0.587916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best yakitori I've ever had! My friend and I didn't know beforehand that there's a $20 minimum per person but we ended up spending well beyond that. The pork and beef yakitoris were our favorite -- the chicken and vegetable ones were good, but you might as well skip to the best ones! Looks like they also have some great non-yakitori dishes, but we couldn't really figure out what they were. This place doesn't have very many places to sit so get there early and go in small parties!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.40375; Sentiment_Subjectivity (from 0 to 1): 0.545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really blessed to live in a neighborhood that has so much amazing food from all parts of the world. Chuko is an amazing Ramen place, serving up some fantastic dishes. The appetizers are phenomenal here and are the reason you should really come here. Lets talk about what everyone comes here for, the kale salad. I don't eat kale, don't really care for it that much but this kale salad is worth getting. Even for a carnivore such as myself. Next is their pork buns. Well worth the five bucks, this bad boy is super flavorful and will not disappoint. I also really enjoy their goyza, which can typically had off their menu specials. The Ramen dishes are pretty solid. Not the best I've had but overall pretty good. If you like something with a kick, like how I do, I suggest the Kimchi. Spicy broth with egg, noodles and pork. Really filling. Only issue with Chuko is the beer prices. Pretty expensive. I'd suggest drinking before you came here. If you want some great Japanese, Chuko is a safe bet.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.231767677; Sentiment_Subjectivity (from 0 to 1): 0.489444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 as we walked off the Highline (going south).  Walking up, the name of the restaurant wasn't anywhere noticeable, sometimes the sign of a hidden local gem.  Set the stage to have no expectations and open to new experience.  Walked away thinking I wouldn't come back.  We camein and waited to be seated.  Several servers made eye contact with us but walked away.  Then one of them walked up to us and gave us the "why are you here, can i help you" look.  What could we possibly want if we're standing at the entrance of your restaurant?? We asked for a table for 2 and he pointed around the room and told us to pick a table.  Odd. Ordered grilled calamari for appetizer.  3 large pieces come on a bed of salad greens.  Pretty decent flavor, but a little salty and the salad was very oily.  Still I prefer this preparation to deep fried.   For mains we had Dell Orto pizza and ravioli from the Specials menu.  Again the pizza was oddly salty with certain bites but not throughout, and oily.  I liked the taste but overall not memorable.  The ravioli was nice, sage and basil in a cream sauce.  Price points were good for what we ordered.  Atmosphere was very nice, minus the at times absent-minded service. Didn't bother with dessert since the dinner felt heavy.  We went through 2 bottles of water because it was so salty.  We asked for the check, waited 30 minutes before asking again.  The table next to us tried to pay with a card and that's when we heard it was a cash only place.  I find this irritating, especially in Manhattan, for a full service restaurant.  Good thing I had cash that day, but otherwise I, like many people, only carry plastic.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.127121561; Sentiment_Subjectivity (from 0 to 1): 0.543695015 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was good, but I wasn't THAT impressed. My jambalaya was pretty good, definitely New Orleans style. But, the regular "soul food" wasn't up to par. I eat better soul food at Thanksgiving. The collard greens were sort of sweet and lacked salt, pepper AND vinegar. So, If you're used to good ol collard w/neckbones, some spice and flavor.. you'll be disappointed. The mac n cheese was AMAZING. Not your usual home baked elbow macaroni, but definitely worth it. And the portions here are great. Our server wasn't the best.. it was a busy Saturday and we were in a group, so I guess she felt she was getting her tip anyway.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.383522727; Sentiment_Subjectivity (from 0 to 1): 0.551966783 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meh - super expensive for a BBQ place, and the food was not amazing. The collared greens were gross (they had stems and branches in them - probably the traditional way to make them, but I thought it was disgusting).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.244444444; Sentiment_Subjectivity (from 0 to 1): 0.669444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been to Jack's Wife Freda a few times since it opened up, and have been very pleased overall. The staff is very attentive and helpful, as others have mentioned, which really makes it worth visiting repeatedly. It's often busy, which can be a pain, so as with any popular lunch spot in this area, plan to eat a bit later than usual. 1:30 p.m. or later and you should be fine on the wait time. Wish the crowd was a bit  less typical of the neighborhood, but hey--beggars can't be choosers. On to food: finally, a burger that is not the size of my head. Fries are consistent. The arugula salad that is an option with their sandwiches is very basic, but good. Wish they would make it a bit more interesting by adding some onions or something. Love the chicken sandwich. The deviled egg sandwich is also good, though I found it a bit under-seasoned the day I tried it. Delicious Stumptown coffee. Overall, a very consistent and worthwhile lunch spot in Nolita/SoHo.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236234568; Sentiment_Subjectivity (from 0 to 1): 0.440895062 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 decor, helpful staff and the food.... Oh the food.... The Tartare was quite an intriguing experience that got me researching Sezhuan seed... Escargot were treated in a novel fashion, anyhow what can go wrong when cooked with bacon bits. Steak was a solid choice and the variety of onions served with it were exciting. Duck on a bed of Wild rice with spinach was excellent but the best... Oh the best was cookie and milk, I am not usually a huge fan of dessert but I might go back late at night just for that!!! My only drawback would be the wine list that is difficult to read and handle and I think that a selection of reasonably priced wine would be a nice plus. Incredible experience, worth every minute and penny; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.25078125; Sentiment_Subjectivity (from 0 to 1): 0.622222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 trusty Yelp iPhone app lead me to this place while I was bopping around Soho. I was looking for something American/traditional that I could get to go and hopefully wouldn't pay too much for. I decided on Ruby's and chose the Blueys chicken sandwich. All the raves about the sweet chili sauce sold me. While I was waiting, I realized I hadn't specified what kind of cheese I wanted. To my chagrin, I found out it was Swiss (bane of my existence), the only cheese they offer, and it was too late to change (boo). Considering that I paid ~$12 for it, I just assumed as seemed to be the case in other NYC restaurants, that it came with a side of some sort. When I got my order, lo and behold, at the bottom of my white handled bag was a lonely sandwich. Let me qualify this by saying: I'm from Chicago (new transplant), I don't pay a lot of money to get decent food. So not only did I pay $12 for a sandwich alone, it was a sandwich with Swiss cheese on it (epic fail). So I was bit apprehensive with the first taste, but I was surprised. The sandwich was damned good. That sweet chili sauce is pretty fab. Almost enough to make up for the lack of sides and $12 price. Almost. (The woman working there was nice, nonetheless.); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103715729; Sentiment_Subjectivity (from 0 to 1): 0.627597403 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, good service. Seems year guys have been successful at putting a bit of a healthy spin on traditional dishes. I like it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.53; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is awesome. It was my first time walking in. Had a smoothie station, a sushi style station, a kimchi station, and then at the back appeared to be a restaurant. I went in for kimchi obviously. The lady walked me through all the kinds and let me taste it. My favorite was the Pogie i think it was called. Basically kimchi raddish instead of cabbage. I had her weigh out 3 containers of assorted styles. The total was $8 for about a lb and change. I'm definitely heading back here some time to explore more of the selections and the restaurant in back. Very cool decor. And you can see all the future kimchi selections fermenting. Its awesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.285; Sentiment_Subjectivity (from 0 to 1): 0.504102564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 decor in Tabare is adorable. The back patio is quaint and perfect. As other reviewers have said: Tabare is cash only, so hit the ATM before you dig in! Tabare is an adorable restaurant with great food! I went there with some friends and we tried a number of things, all of which were delicious! The caramelized onion and cheese empanada was amazing! The mussels were also very tasty! I had the Milanesa de Pollo for dinner. It was cooked perfectly and the mustard added great flavor. The ravioli of the day was great too! Everything we tried was very good. I will definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.572333333; Sentiment_Subjectivity (from 0 to 1): 0.707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 better than nearby falafel chain, Maoz. Food is fresh, service quick and polite, and menu has some nice options (including amazing chocolate hazelnut mousse!) and falafel is not overly garlicky. Filling and decently priced for lunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.677777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best experience ever!  Lots of unique things to try.  Sashimi, sunomono, agadashidofu was all great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.725; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While it made for a fun adventure, to come and try Di Fara's pizza, the product itself is not so impressive.  The place is really run down and unclean looking, although they now have an "A" rating.  The seating is something you would imagine in some of the least appealing pizza places you might imagine.  But most importantly the pizza...the biggest disappointment was the crust.  It had very little character and was hard and cracker like.  To me it is usually the crust that makes a pizza.  The other ingredients can make almost any pizza taste good but the crust can make a pizza great.  In this case the sauce was ok with chunks of tomato, obviously canned tomato, not highly seasoned or even modified in any way.  The cheese is half a one pound chunk of mozzarella, like any of us buy in the supermarket, that is hand grated by the elderly pizza maker, and spread on the pie.  He adds a big handful of grated cheese after baking and cuts some basil roughly over the pie with a scissor.  The pizza tastes very good due to the abundance of cheeses and basil and an adequate sauce.  However the lack of a crust with character makes the pie unimpressive.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152528935; Sentiment_Subjectivity (from 0 to 1): 0.460856481 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food IS incredible BUT our experience wasn't great and bordered on extremely unpleasant.  My party of 3 was seated at a table for 2 =  2 of us on the booth side, 1 on a stool.   Halfway through the meal, the table next to us was re-arranged to seat more guests,  which greatly reduced our space - at that point, my friend and I had to take turns eating for lack of arm room... I just don't want to pay $28 for an entree (the skirt steak) and be that uncomfortable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.264285714; 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: This was the best pizza I have ever had! The atmosphere was perfect! The staff was efficient and friendly. We had a great experience and will definitely be back next time we are in town.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.529166667; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only thing I give 4 of 5 is because they don't accept credit cards.  I love this place... there have been times I have been there once or twice a week. Its absurd... they want to avoid taxes or what! The food here is awesome, we have always spent great time.  Its a very nice Thai place to be with family and friends.  You will even see there are people coming from other boroughs, they even come all the way from Manhattan and Westchester! They even give you a number so you wait in line... the waiting time could even be on average 30 to 40 mins; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.227638889; Sentiment_Subjectivity (from 0 to 1): 0.691666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place. great food. always special time to gaia.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.719047619; Sentiment_Subjectivity (from 0 to 1): 0.773809524 [/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: After going there a second time this past weekend, I think I've decided this place is officially my favorite ramen joint in Manhattan. It beats Momofuku Noodle Bar by a mile! The wait may seem daunting, but its always been worth it in my mind. I don't mind drinking a few Sapporos at the bar with the attentive bartenders, while awaiting the delicious awesomeness that is Ippudo. I still haven't ventured far from ordering the same 3 items every time, but I figure, if it ain't broke, don't fix it. I usually start with the Shishito fried peppers, followed by the pork buns, and then the Classic Ramen. All 3 area always satisfying and I want to keep going back for more! I'd be interested to see what the wait is like on a week night, I've only been on Friday and Saturday nights...until next time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.192156863; Sentiment_Subjectivity (from 0 to 1): 0.464215686 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What can I say about a place that takes 10 minutes to deliver the menus to a customer's table?  I visited this place on 9/15/2012 and was seated at a table promptly. Then time stood still . Server after server walked across the aisle to see my raised hand, only to look away. After 10 minutes I applied my skills of flagging down a NYC taxi  to this place only to have a server tell me.. " You are not serious, are you?" Upon hearing a reply in affirmative he "promptly" came back with a menu in another 5 minutes. After that I could see him point towards my table and having a good laugh with a couple of other servers. Hmm, that's when I thought, is this why we have a hold up on the menus...Thoughts went back to Louie Season III with Louie in the Electronic Shop, thoughts further went back to a episode from Seinfeld "It will be 5, 10 minutes"!  Point here, I had so much time to think about these episodes. I left without ordering but not without thanking the manager for a fantastic service. Avoid is the word if you are like me who values service and ambiance as much as the food. Btw, why shouldn't you? If you don't then order on Seamless or Grubhub. You can eat in your PJs.   I hope I gave you some food for thought. Nyonya: You rock but in a bizarro world!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.141830065; Sentiment_Subjectivity (from 0 to 1): 0.401797386 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 happy hour burger (5$) with an old fashion (5$) and brussels sprouts is to die for!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.478125; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cool spot, good food, great value. Margaritas a little limey, but strong and still tasty. Food is delicious. Service generally friendly and attentive. We had at least three people serving us and asking if we needed anything during our meal!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.388425926; Sentiment_Subjectivity (from 0 to 1): 0.67037037 [/INST] Not Spam</s>