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: Since moving to New York I have been on a quest to find the best pizza.  I have only been to a few places thus  far but I can not imagine anything being better than Grimaldi's.  Last Saturday while waiting in line for 45 minutes to get into the restaurant I kept my expectations low because of the bad food experiences I have had as of late.   We ordered a large pizza with pepperoni, sausage, onion, and extra  grated cheese.  When it arrived, it looked pretty amazing. It tasted even better.  The people next to us asked how it was and my first thought and response was, "It is magical."   And let me tell you it is.   I am in love with this pizza and had a day dream about it just earlier today.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.167532468; Sentiment_Subjectivity (from 0 to 1): 0.517489177 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their signature dish with chicken and rice was ridiculously good.  It is simple, no veggies (hey guys, i know it's not the way it's supposed to be made or whatever, but a few veggies wouldn't kill ya), just white rice and chicken....but the sauces are just ridiculous.  The flavors are outrageous.  I will be going there for lunch on a regular basis from now on.   Decent sized portion too.  Just enough to leave you wanting more...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.06969697; Sentiment_Subjectivity (from 0 to 1): 0.522793873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Joya is cheap and SLAMMIN'! Brought one of my friends here after seeing such rave reviews on yelp. Even the special menu had some good prices. He had the skirt steak and I had salmon. Both DELISH! BEWARE: CASH ONLY!!!!!! It is now my go-to spot; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.346428571; Sentiment_Subjectivity (from 0 to 1): 0.674285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was expecting to be blown away by the sushi here because everyone I know loves this place. I think the presentation is really nice, but after spending a lot of money, I left hungry and not satisfied. I also don't like the atmosphere. It's very minimalist and cold. It feels like a place for a business lunch rather than any sort of dinner with friends. Don't get me wrong - the fish is indeed very fresh and good, but I just don't think it's worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.093333333; 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: Are the Halal guys all f-ing business, yeah.  Does the hot sauce make you cry, yeah. Was it extremely affordable at $6, hell yeah.  Was it good/worth the wait in line,  yeah. The food was good, but not the earth shattering meal I was expecting after over 1700 reviews.  Seriously Yelpers, don't drink the Kool-Aid and post a positive review just cause everyone else did.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.143787879; Sentiment_Subjectivity (from 0 to 1): 0.732424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: until my experience at Pylos, Greek cuisine to me meant Daphne's and gyro carts. Pylos has changed all of that for me.  went with no expectations--the bf just said we were having Greek. was blown away by this super cute place. the ceiling is covered with hanging clay pots. I am from California, so I immediately thought, omg this could be baaad if there was an earthquake. but after my fleeting innate westcoastness moment, i found the concept to be really, really cool. the decor is so charming--its one of those places where the ambiance makes you excited to try the food. also makes for a great backdrop for picture whores. the food was Amazing with a capital A--the lamb shank was literally falling off the bone. super sweet and tender. the bass was nice and light, not drowning in oil and salt. the tzatziki sauce is to die for (and free)!  ask for it when the waiter brings out the bread. definitely want to go back. saw a lot of appetizers i want to try. plus, i need to get another taste of that tzatziki sauce. it's so good we wanted to take it home with us... but we decided against our urges to be ultra ghetto. so i guess i just need to find another excuse to go back to Pylos.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.296929825; Sentiment_Subjectivity (from 0 to 1): 0.535964912 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a classic place to grab your weekend macrons or buy a souvenir box for your Mother In Law. Yes, its expensive, but you have to expect that when you're buying macrons flown in from Paris on the Upper East Side. I bought a box of 8 for 22.50$ and I was treated well by the employees, who thanked me in French and wished me a nice day. The macrons themselves are excellent, especially if you pick them up before lunch time when they are most fresh. I would also recommend going in the early morning because the tourist crowds haven't hit yet. I tend to stop by around 10:45 and 11:00 on Saturday mornings, and its usually pretty empty. My favorite flavors are Hazelnut, Pistachio, Raspberry, almond, and anything citrus, but all the flavors are exceptional.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.248809524; Sentiment_Subjectivity (from 0 to 1): 0.619047619 [/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: Visited this restaurant for dinner soon after it opened up. The decor was really nice, and the food was great. They were still working out the kinks in the service, and a few things got screwed up or forgotten (which is why they don't get 5 stars), but I would assume these issues have smoothed out by now. That isn't to say the staff wasn't friendly. They were really kind and courteous all around. I would definitely go back since the food was so good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.434375; Sentiment_Subjectivity (from 0 to 1): 0.60625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVED IT. My group ended up getting the Matador Combo, which was BOMB (as well as a Lomo Saltado--good, but I'm going to focus on the combo). Basically, the combo is enough to feed 2 super super super hungry people, or 3 regular people. You get: a rotisserie chicken, fried plantains and awesome sauce to go with it, salad and veggies, a plate of beans and rice, as well as a plate of french fries and hot dogs (WTFFF!?!??! for that last one... it was weird, I think I tried a bite of both a french fry and a hot dog, but everything else was WAY better, so I ended up ignoring that plate as did my friends). Let me tell you, the chicken is amazing--great seasoning, moist, and cooked beautifully. Put a bit of that on your plate, add some rice, beans, and veggies, and then top it off with the awesome mystery green sauce they also put on your table and ENJOY. Thinking about it is making me wish I was there again... Ahhh. Anyways, go here. Enjoy, split it with your friends, have an awesome time! Also, this location has TONS of seating, which is great! BUT, if you want a seat, your entire party must be present in order for them to find a seat for you! AND finally, their sangria is good! why not try it? :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.29528556; Sentiment_Subjectivity (from 0 to 1): 0.631675508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: line out the door next to go Grimaldi's. i came at 3:45 and JUST made it in the door at 4 to put in a order before they closed for oven cleaning. friendly and tentative service, clean and new space; though fairly small. the pizza itself is superb but don't wait to eat it. its at its best when it lands on your table. the last couple slices just wasn't as good as the first bites but overall, everything was delicious and fresh. their small pie is fairly large and for 5 people, we had one salad, one large pie (prosciutto, buffalo mozzarella, and arugula) and one small pie (classic margherita) We couldn't finish! The proscuitto pie was amazeballs. and the pile on the good stuff.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.280746753; Sentiment_Subjectivity (from 0 to 1): 0.418917749 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let's just say that my boyfriend and I commute from NJ by bus just to fall in line to eat this stuff! You can't really beat the price of $6 for a filling platter. We usually order the combo lamb/chicken. It comes with pita bread, lettuce, rice and amazing white and hot sauce.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.16; Sentiment_Subjectivity (from 0 to 1): 0.44 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great, great ambiance. Kudos to the designer - LOVE the lights. Good service, good food. The pigs feet blew my mind, and my friend let me try a little of his monkfish (on special), which was heavenly. I think they cook it with bacon (or was it ham?), so it's a little crispy on the outside. I'm not usually a huge fan of fish, but this changed my mind. Hope it goes on the regular menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298376623; Sentiment_Subjectivity (from 0 to 1): 0.536213786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think 3.5 stars is more appropriate for this spot.  We went with the aruguIa pizza, and I thought for all of the hype this place got, the toppings and tomato sauce would be on par with all of the other spots I really like in NY, but they weren't.  But where this place did succeed, is the crust.  I think this place is definitely in the discussion for some of the best crust I've ever had, and I'll bump this place up to 4 stars because of that.   To backtrack, we started with the mozzarella and tomatoes.  Definitely great texture on the mozzarella, such a light texture that falls apart in your mouth.  Also got a pasta dish, it was good, but nothing super memorable. We went on a Friday night at 930 or so, expect to wait around 30 minutes for a table.  By 10pm though, it seemed like several tables were available.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.37202381; Sentiment_Subjectivity (from 0 to 1): 0.499404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped by here late night last friday with a friend for a late night bite and we were floored. I got a burger while my friend got a turkey burger both with fries and it beyond hit the spot! Throw in 2 bud lights as a night cap and we were sold. We walked in as they were winding down and had every right to tell us they were closing but the bartender could not have been friendlier and served us right away. Great chance find on Atlantic Ave near CG!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.083234127; Sentiment_Subjectivity (from 0 to 1): 0.472123016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This restaurant is in the middle of nowhere.  Went to try it because I heard about their foie gras jelly donut.  It was as good as it's reputation.  But the rest of the food were so so.  Tako taco was nothing special.  Lamb breast was gamey and fat.  Even though I like it, I don't think it will suit everyone's taste.  Duck breast were cooked pretty well, too bad the meat was a bit chewy.  Chicken with waffle was ordinary.  And they don't have their own created desserts.  The two that they offered were Snicker ice cream bar and mango mochi.  I would recommend M.Wells and Salt & Fat over them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.044642857; Sentiment_Subjectivity (from 0 to 1): 0.661011905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An oldie but goodie. Reliable brunch fare, generous portions, and fast service. The only reason it gets 3 stars versus 4 stars which is what it deserves is that the fries were over cooked, too much butter used for its omelette dishes, and finally the manager/man who works there with a suit and horned rimmed glasses came out of the bathroom and wiped his hands on a pile of clean linens that customers would ultimately be wiping their mouths with while dining.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.127777778; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Now I know what hell tastes like. Two drops of the hot sauce and it will send your unsuspecting tongue flyin'.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Spicy Chicken Empanada at Empanada Mama is my favorite choice for eating late at night.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.133333333; 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: 2.5 stars. Definitely an okay spot...meets expectations? Mmm.. not so much. Our party had to wait around 30 minutes, which is fine. We ordered two chicken boxes, a chicken biscuit, and a burger. The burger was well cooked, but there was enough mayonnaise on it to feed a crowd. The chicken was lukewarm and dry, so it definitely disappointed us. The chicken biscuit was the star of the show, the biscuit is great, and the chicken was well prepared. Service was alright. Is it worth the wait to get chicken that isn't crisp or hot? No. Probably won't return. P.S - The fried chicken at Salt and Fat is definitely worth trying, go for it!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.106944444; Sentiment_Subjectivity (from 0 to 1): 0.662037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Extraordinarily good Greek food in the East Village -- this place is not to be missed!  My first choice for lunch apparently did not serve lunch, so my Yelp app guided me here instead.  Apparently that app is useful! The ambience is wonderful.  The ceiling is quite striking being lined with terra cotta pots.  The main seating area is along a narrow corridor that is buttressed by a bar at the far end with more seating area in the back.  The music was tranquil, yet modern, decidedly Greek in a way that I felt like I could have been having his meal in Athens.   The menu is rather limited for lunch, but I opted for the Pastitsio.  Often, in less capable establishments, this can be dismissed as Greek lasagna.  Here, however, the dish stands alone strongly showcasing wonderful Greek tastes.  The first thing that strikes you about this dish is how aromatic it is.  It made me pause for a moment, lovely.  Presentation, was monolithic, with a feature rich surface, adorned on the side with fresh rosemary and a lone cherry tomato.  The noodles were perfectly cooked.  The bechamel sauce was really quite good.  The flavors were so balanced, every forkful was identical.  And it was so flavorful, and it was not heavy at all.  I really enjoyed this dish.  I was rather surprised by the skilled execution of the chef.  Well done.  The dish was accompanied with complimentary pita which was fresh and delicious as well.   My thoughts are that this would make a wonderful place to take a date.  It also should be substituted immediately for one of the more lackluster selections on the 1 Michelin star list for New York.  I can easily think of three restaurants on that list that fall well short of this place.  Bravo.  Come one, come all.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.323941506; Sentiment_Subjectivity (from 0 to 1): 0.495871608 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't care what you're coming here for or if you hate mac 'n cheese, GET THE MAC 'N CHEESE. You would be insane not to. You can get a trio of flavors, I personally got the regular, truffle and bacon. Oh my this was amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.24; Sentiment_Subjectivity (from 0 to 1): 0.635384615 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was in NYC for business.  Everyone I met said, "you know where you can get the BEST pizza here?"  and I would say, "I know!  under the brooklyn bridge?"  and they would say "Absolutely, but you can only get pies."  That's the but?? I forced my gal pal to wait in line with me.  We went at 3:30 on a Saturday afternoon.  We waited exactly 45 minutes before having our name called in to be seated.  Hey that's actually not that bad of a wait, given that most great places have a 15-20 minute wait, right? We ordered the small pie with pepporoni.  Yes, this is good pizza.  It wasn't mind blowing, but it's good.  That's all you need to know.  Oh and to bring cash.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.245054945; Sentiment_Subjectivity (from 0 to 1): 0.523260073 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 not gonna waste your time with a lengthy review but let's just say this modern ramen eatery has the perfect ramen. The shiromaru ramen is pretty standard; I would say just avoid it because it's a standard ramen. It's not bad tasting, it's just that you're paying for exceptional, you're waiting in line for exceptional so order something exceptional: the akamaru modern is the way to go. Ramen is a bit thinner and clearly hand-made. it's chewy and delicious. The broth is amazing and slightly sweet. Heaven. The pork in the pork buns are soft and fatty but crispy on the outside with a spicy kick... yummy. Let's not ignore the bar while you're waiting. The lychee martini here is the best I've had. The bartender or the recipe is really something special. The combination of smooth sake and vodka was perfect. It wasn't cloyingly sweet nor face-pinchingly bitter: it was the perfect lychee martini and it was strong. So thank you for making my 2-hour wait better, martini. Which reminds me, come in a small group, be prepared to wait for more than 2 hours, and find something to do in the mean time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.335249256; Sentiment_Subjectivity (from 0 to 1): 0.554445685 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jackson hole has the best burgers I've had in NY. Juicy, lean and amazing! Their breakfast is also quite tasty. Never disappoints; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.875; 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: Great Picanha! Great items on buffet and fresh!  Best weighing station in astoria.  Yummy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.79375; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went this nice restaurant for dinner last night, I just Love the theme of the restaurant. food and wine were awesome. the service was great too. Starters: Marinated white anchovies on quinoa croquettes with spicy saffron aioli and Grilled kangaroo on a coriander falafel with lemon tahini sauce and green pepper relish. Mains: Grilled New Zealand venison loin, Cabrales dumplings, oyster mushrooms and salsa verde and Roasted Chatham cod with manila clams, crispy potato, sesame wakame salad and smoked uni cream. Dessert: 6 Sorbets and Plate of 4 100% will go back again with the LOVERS. it was great experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.363636364; Sentiment_Subjectivity (from 0 to 1): 0.492121212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here a few months ago with my boyfriend and best friend.  I still dream about the food.  The bartenders and waiters were so incredibly nice even while my friend and I were waiting for my extremely tardy boyfriend at the bar.  They even held our reservation even though our full party didn't show up for an hour after the reservation.  Every dish we tried, and we tried a bunch, was absolutely amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.370833333; Sentiment_Subjectivity (from 0 to 1): 0.641666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Incredibly tasty meat is what makes these tacos so delicious.  This is a one-of-a-kind place in NYC and they deserve nothing less than 5 stars.  The days of nubby, partially-burned, tasteless meat in your tacos are over.  Come to Dos Toros and see what I'm talkin' 'bout.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here on a Saturday around 1pm for brunch. We walked in mainly because we looked inside the glass windows and the decor made us happy. Books on shelves behind the bar had me sold. I ordered the spaghetti with pork and my friend ordered the pork belly, plus mimosas for the both of us. Both dishes were enjoyable, but nothing I'd rave about. I'd come back for a nice place to sit and enjoy a clean, fresh tasting brunch. Still, nothing beats brunch at Jane for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.303703704; Sentiment_Subjectivity (from 0 to 1): 0.592592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't think it was good, it was rather blend and lacked refinement. I don't think I will go ahead. Nice environment though, nice crowd. However the food is not up to par, which is for me the most important...; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.56; Sentiment_Subjectivity (from 0 to 1): 0.82 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Completely solid American Greek, but absolutely not the best or most "authentic" Greek in Astoria. No reservations and willing to seat big parties means the last two times we tried to go it was an hour wait. They pack the tables in so loud and difficult to maneuver. Service is all male, a bit gruff, but love that the feta slab on the salad is huge, and tons of pita and lemon happily supplied. The seafood is overrated. Just sayin, stick to scallops or meat. Or just salad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.202941176; Sentiment_Subjectivity (from 0 to 1): 0.462745098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really good food! The AC could work better but nothing else to complain. Try the arugula salad it's my favorite; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; 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: Really great scene! Gray dog has a fantastic happy hour wine special, half off bottles of wine! It's amazing. I can't speak to the quality of the food, other than that the sweet potato fries were divine. The resteraunt/bar itself is very very cozy- a great place to go with friends after work. the decor is nice, but they only have one bathroom, which can be annoying. All in all, I would definitely recommend!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.250986395; Sentiment_Subjectivity (from 0 to 1): 0.745578231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 glad I went, but prolly wouldn't go back considering how many great places there are in South Williamsburg. The atmosphere is good, the fried chicken is good and the collard greens and biscuits are great, but everything else is a serious meh, especially the mac n' cheese and the pies. We had the concord grape and banana cream pie and both of them were eminently skippable. In addition to the fried chicken, we also got the pulled pork box, but it was average at best -- and absolutely incomparable to Fette Sau and most especially Fatty Cue. However, this place is better than The Commodore, which is incredibly annoying with its overly hipstery vibe. Definitely give this place a go -- because it's fun (oh, and the mint limeade is awesome) -- it's great if you're hankering for some greasy southern, but there are some far more superior places in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.266025641; Sentiment_Subjectivity (from 0 to 1): 0.639102564 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Place is around the corner from me. Glad that there is a decent restaurant to close. The ambiance is a little odd. It's cute but kind of a hodge podge of brick a brac inside, tables really close together, nothing really matching in terms of overall look. It's hard to make sense of the decor.  What frustrates me about this place is that it has the potential to be really good. The wine is a bit off--they could make better choices there in terms of what they serve and make the experience more mature. The menu is a bit random, pasta and burgers. It doesn't really synch. The first time I ate there and had the gnocchi. The sauce tasted like dishwater. I recently had the mini burgers and those were great. But again, gnocchi and burgers??? And, then a kabob? What? If this place refined its decor a bit more, and made it's menu a lot more consistent and maybe matured, it would be great.  Not bad but needing some direction.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.258833333; Sentiment_Subjectivity (from 0 to 1): 0.506333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 delicious! I booked a reservation for an early dinner last night through savored (30% off! ;D), and I am usually hesitant when booking meals at a discounted price. Welp, I saw Galli with a 4 star rating on yelp, so I said to myself why not. Aside from the somewhat slow service, there's nothing else to complain about. Ok, maybe the super sweet mint lemonade, but at least giving me the chance to dilute my lemonade in water, I ended up with two cups of mint lemonade? Haha. The restaurant is dimly lit, and incredibly comfortable, cute, and serene. I love the grey accents going on in there. The food here is amazing for the price! Even without my 30% off, the food is totally affordable. We had: P.E.I Mussels - At $12 a dish, Galli was extremely generous with the mussels as an appetizer. We had the mussels in the white wine broth, and the mussels boasted with flavor. So light, yet so flavorful. The mussels were also so plump and cooked to perfection. Prosciutto - This was meh, and it was a dish none wanted to get but one friend, so we didn't care much for it anyway. I mean, it's honestly just a few pieces of  prosciutto,  cheddar cheese, and bread. Fried Calamari w/ Marinara - MmMmm! One of the best calamaris I've ever had. So, so, so crispy, but not oily at all! It actually felt somewhat healthy, although it wasn't. My fingers were also not greasy after picking at pieces with my fingers :D. Entrees: We all went for pasta, so, let me just review my own. Carbonara - Cream sauce and peas for the win for this girl! I love the sweet balance the peas give to a pasta. The cream sauce was so incredibly delicious, not bland, not salty, and also not too heavy that I couldn't finish my dish. Yup, I ended up finishing the whole thing. A La Vodka - I took a bite, and it was a tad salty. I think that's cause my friend wouldn't let the server stop with the parmesan though. Vongole and the Seafood Pasta? - Not much to elaborate on, but my friends thoroughly enjoyed it. Would definitely swing by again!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.253311966; Sentiment_Subjectivity (from 0 to 1): 0.570619658 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Even on a Monday night this place is buzzing. I managed to sit on the counter facing the kitchen, which afforded me a view on the well oiled machine which is the kitchen. So far, this is the only tasty food I've eaten in New York. Food in America tends to be be bland or just horribly over seasoned. Not at L'Artusi, which makes great tasting food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.017099567; Sentiment_Subjectivity (from 0 to 1): 0.755411255 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quite a hidden gem. I've always passed by Barbuto's because it's just beside where my friend used to live. It took a crazy wait at Spotted Pig for me to land up here as an alternative option for dinner. Wow what a great decision. Chilled out location, moderately priced and I thoroughly enjoyed the razor clams here. Blew me away (yes I hadn't had razor clams in a looooong time). We had an evening of lovely food, drinks and conversation with an old friend I hadn't caught up with in a long while.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.131969697; Sentiment_Subjectivity (from 0 to 1): 0.623333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wanted to enjoy the weather & grab a bite to eat with my family. Loaded up my trusty Yelp app and found "The Thirsty Koala" from the reviews it seen like a Yelpers paradise. The staff was very informative and tentative, the decor was warm and welcoming children friendly. I arrived here during happy hours 4pm-8pm  Monday - Friday Wine $4 Draft beer $3 Cocktails 2 for 1 $8. I ordered a few "Hooky Dooly caipirinha" excellent cocktail extremely mild taste with basil leaves, strawberry, lime juice, brown sugar and Brazilian light rum, they were generous with the alcohol. We ordered the BURGER WITH THE LOT (GRILLED PINEAPPLE, BACON, EGG, BEET SLAW AND CARAMELIZED ONION) I ordered it with beef I decided to pass on the kangaroo meat today. The burger was excellent with all the toppings, it was juicy and rare just the way I like it, the fries were crispy outside and soft inside. I also ordered the MARINATED SKIRT TACOS ( cooked medium rare ) PICO, CABBAGE, PEPPERS, CILANTRO, CHIPOTLE SAUCE. My steak was a little over cooked, the chipotle sauce had just the right amount of heat, overall a enjoyable meal. The atmosphere, customer service, food and drinks definitely bought out the Thirsty Koala in me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326660401; Sentiment_Subjectivity (from 0 to 1): 0.554511278 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I didn't review this place yet?  What is wrong with me?  I must be too busy dreaming about it to write. I'll start by saying that I never really knew the truth of ramen before coming here.  To me, ramen was that cheap food that college students pay twenty cents a packet for.  Wow, wasn't I just the epitome of wrong?  A friend went here and promptly became obsessed with it.  One day we ventured into the city and she brought me here.  Sometimes I wish she hadn't! For real, what hasn't already been said in over a thousand reviews?  I get the Akamaru Modern.  The broth is delectably rich, I love the garlicky sauce, the pork is succulent and, of course, the noodles have great bite.  I also learned the wonders of kakuni, so now into the bowl it goes for me.  Last time we finally ordered kae-dama.  At first you are sad because your noodles are gone but then oh magic!  They have returned for a blessed encore! Yes, the wait is long.  Yes, you can pay less elsewhere.  But there is a reason the wait is long and you pay more.  I just wish they did take out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.081646825; Sentiment_Subjectivity (from 0 to 1): 0.593650794 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 their xiao long bau, steam bun, yum and juicy...... typical chinese restaurant service in china town. will come backfor the steam bun.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.072222222; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a great addition to the neighborhood!!! Great seafood!!!  Amazing bakes!!!  If you are in Harlem, I strongly recommend it.  Great service and worth every penny.   I can't wait to go back to Lolo's.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.647619048; Sentiment_Subjectivity (from 0 to 1): 0.569047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is good and honest but unfortunately the staff let's down. - waiters are poorly trained and the food and their service is average. - front of staff is extremely arrogant and completely lack of costumer service. And it's not a small place as many people think. There is a large room upstairs with comfortable tables and staff but 50% of tables are always empty even on the days you were made to wait for 45 min!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.091056166; Sentiment_Subjectivity (from 0 to 1): 0.601343101 [/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: hey! this place is pretty darn good! i gotta say i liked it more than sylvia's in that neck of the woods. it's a cozier establishment, and the food is tastier! very generous portions, reasonable prices, fun names for the dishes, and nice folk. will go back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.405555556; Sentiment_Subjectivity (from 0 to 1): 0.555555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. Great food, great service, great atmosphere. I have been here twice so far and a good experience each time. It is also good for bringing a small to medium size group of people with you. I have not gotten anything bad here...all the food has been great.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.686666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 BF and I agree: this is the best restaurant in NYC.  Being both of Cuban descent and from Miami, this is about as good as it gets. The vaca frita is incredible!  Squeeze some lime on there and enjoy pure food bliss.  The lechon is also really delicious.  Moist and perfectly cooked.  BF says "we've had everything and everything is delicious". The tres leche is to die for! So so so good. I get it every time I come here. My BF also special orders ice cream and maduros and they are also always super nice about getting it for him. The other amazing thing about Cuba (as if everything wasn't already wonderful) are the drinks.  No matter what you get it will be tasty with a healthy amount of booze.  I usually stick to the classic mojitos, which are always perfect and some of the best I've ever had.  BF does ultimate mojito with the 8-year-old rum, which he is completely obsessed with.  It's not often that we order something other than mojitos, but when we do we're not disappointed.  There is a berry cocktail in the summer that's yummy and we recently had a winter cocktail that was also unique and tasty. Service is good and they're good about seating you in a nice spot.  The downstairs area is good for groups and romantic seating since it's a little quieter. The live band is also a really nice addition when it's there. Oh!  Also you can get hand-rolled cigars there some times for free.  Another nice thing about Cuba. BF and I come here about once a month and will continue to do so because it is a really great restaurant, great food, good service, fun, romantic atmosphere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.471226639; Sentiment_Subjectivity (from 0 to 1): 0.668408827 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to celebrate our anniversary, and enjoyed a special, fun, and delicious meal.  The staff is friendly in a pleasantly understated way.  We sat at the bar, so we were able to really take our time making our way through some top-notch cocktails, grilled radishes and feta, and then the rabbit for two. So, this rabbit for two is a very, very good thing.  It's rabbit three ways, plus an outrageous array of side dishes that includes a green salad with fennel and mint, hummus with whole chickpeas and gorgeous olive oil, pickled vegetables, a yogurt dip, some dipping sauces, and flaky bread.  Good lord this is a fantastic dish, and it could easily serve three. I'm not sure what the portion size complaints are about in some of the reviews below.  We'll be back to sample more of the menu, but from what we had and what we saw going by, the portions looked perfectly ample.  As mentioned, the rabbit is ridiculously generous.  The ambiance is very brooklyn industrial chic, so maybe folks are expecting a casual couple small dishes to constitute a meal.  Not so, this place is elegant, and seems best enjoyed by splurging, ordering a bunch of stuff, and trying everything.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.338409864; Sentiment_Subjectivity (from 0 to 1): 0.658285147 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I came to Balthazar for a late dinner with friends, I wasn't even really hungry. Two and a half hours, three courses, and two bottles of wine later...I didn't want to stop eating. We started with, of course, fries and mayo. Delicious. Seriously, I dream about these fries. I ordered the Seared Organic Salmon for my main dish and it was absolutely fantastic...finished the entire thing. We ended with creme brulee, which didn't disappoint. The service and the atmosphere were top-notch. It's unpretentious, yet upscale....and totally the type of place you can go to really relax and enjoy yourself with great friends. Can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.226190476; Sentiment_Subjectivity (from 0 to 1): 0.549404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: L'Artusi is a solid Italian restaurant but falls short of a WOW.   We had the requisite roasted mushrooms, brussel sprouts, a variety of pastas and the pork chop.  Everything was well executed but nothing elevated to the level of amazing in either taste or creativity of a truly special restaurant.  I don't think it is any better than my favorite Italian restaurant in SF, SPQR.  Actually, I think SPQR's menu is more challenging and creative for foodies. The olive oil cake is the most interesting menu item, I never had anything quite like it and would highly recommend it. There is no space between the tables so you will probably hear half of your neighbors' conversation.  Perhaps my expectations were set too high by the Yelp rating but in my opinion, not a 4.5 star restaurant especially in a city like NY.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.247919799; Sentiment_Subjectivity (from 0 to 1): 0.537794486 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: C'est magnifique! One week later since its grand opening, I finally stepped my foot into the door of this highly anticipated French pastry store. I was literally standing just by the door as the line started creeping out of the storefront on a rainy and dreary NYC afternoon. The place was surprisingly tiny yet it still managed to fit a snaking line of macaron lovers. If only I knew how to make macarons and open a pastry shop of my own, I think I would have made millions in a week. Laduree macarons are not cheap but because of its name and legacy, they have the privilege of overcharging their patrons. They have a wide variety of flavors such as rose petal (my favorite), green apple, chocolate, caramel, coffee, vanilla, coconut, pistachio, lemon, raspberry, strawberry, etc. I think what makes them so popular is their vibrant colors, which is really just food coloring. The store also sells loose tea leaves in cute little cylinder boxes; candles; and perfume.  I personally would get the loose tea leaves. Gift boxes for the macarons come in many different shapes and sizes. The cheapest combo was probably 6 macarons in a small rectangular box for $20. Yeah....but hey, I guess they're great for gift-giving. Anyhow, is it really worth the 30-45 min wait? I don't think so but once the hype dies down, it's definitely worth the experience of trying.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.157411773; Sentiment_Subjectivity (from 0 to 1): 0.525828508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: High competition in the Brooklyn BBQ scene, but personally I think Morgan's is top of the class...Had an assortment of food: fatty brisket, lean brisket, pulled pork, cornbread, baked sweet potato and ribs, and they were all incredibly delicious. This place has burnt ends down to a science. Great beer selection too, plenty of good pairings to go with all that meat. Will be back for seconds.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.315444444; Sentiment_Subjectivity (from 0 to 1): 0.502888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious, cheap, and fast! They don't have any veggie or vegan offerings like Lotus, but for carnivores, this is the place for Viet sandwiches. They also have milk teas, smoothies, and spring rolls. Definitely stop by for a hearty homemade lunch for about $8.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4125; 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: Breakfast Review This place makes some tasty and creative food. I've been here several times and have had the Moroccan Scramble and Ricotta Pancakes. Both were delicious and the pancakes were some of the best I've had. I also love the quick coffee window and their selection of cocktails and beer. Looking forward to doing dinner or lunch here one day. Side Note: long waits and both inside and outside sitting.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.410416667; Sentiment_Subjectivity (from 0 to 1): 0.48125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here on a date once. Pizza was good. Wouldn't call it amazing but it was was really good. Too crowded though.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.666666667; 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: The sangria was excellent. Not super sweet, and served in a trendy-lookin' jar with (actually) fresh fruit on top. House Margarita was good as well, but not as memorable as the sangria. Guacamole was definitely made to order, and the homemade tortilla chips were beautiful. My girlfriend's flauntas with potatoes were crispy and delicious, and the mole sauce on my enchiladas was sweet, spicy, and addictive. The service was friendly, attentive and fast, but I never felt like I was being over-served (my ultimate pet-peeve). After our meal, the floor manager came over and chatted with us. He was funny and made us feel like we were being well taken care of. In other words, I felt good about leaving a nice tip. Overall experience was excellent. I highly recommend it. The only reason why I'm not giving 5 stars is because I wish there was a more interesting vegetarian option than just a cheese filling for most plates. However, next time, I'll get the vegetarian platter, and I have a feeling that will sway my review to 5 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.37297619; Sentiment_Subjectivity (from 0 to 1): 0.677916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: DO NOT sleep on this place. Breakroom has what it takes to be an NYC taco staple. But their branding needs some work. For example, the mint lemonade is sweetened with a homemade honey syrup (plus some secret stuff) and it's fantastic. But they just advertise it as "Mint Lemonade." There could be a city obsession with this product but they don't do it justice :( Anyway, they also have a zillion sauces which is awesome. Pork belly taco is the best I've had... Crispy and MUCH better than Tacombi's. ***$2 tacos and $2 drinks at their happy hour from 3-5!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.392857143; Sentiment_Subjectivity (from 0 to 1): 0.771428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thursday night 9pm barely any wait time about 7minutes for 2 people and we were starving & game to sit at the bar, which was cool because we were able to watch the bartenders make our drinks! I've been to the Umami burger in LA twice and but this was my first in NYC. I enjoyed it more in LA maybe it was the fact I was vacationing but still awesome burgers My buddy and I shared: 1) the Manly burger (bacon-y) I'm not too big on bacon(I know, sue me!) it was tasty, but I found this too salty for my liking 2) Hatch burger - my favorite it was cheesy and yummy, it has a spicy mild kick to it from the green chiles 3) truffle fries - soo good! I noticed the ketchup here is different, I can tell you it's definitely not Heinz! Maybe hunts but my friend said it may be their own Umami special ketchup, bleh! Both burgers Medium rare of course! Good burgers I tried 3 cocktails: Brazilian sunset Unlikely Pear (loved this one) the Upstater...my least favorite - maybe the cucumbers went bad, I should have sent it back when the server asked but I was 2 drinks in and didn't want to be difficult! Awesome service ! After getting the bill, I realized we spent more on drinks than food. But I don't really care ... I was hungry and thirsty; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.21547619; Sentiment_Subjectivity (from 0 to 1): 0.585368664 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 The Farm over a dozen times and I have had a great experience each and every time. Service is consistently great and the food is always fresh and tasty. I'm a customer for life!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.658333333; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cutttteeeee place on St. Marks. Tried the gnocchi and northern Italian cabbagy dish-- yums! Now, both dishes were a little bit on the simple side for me (I like pizzaz! truffle oil! etc) but good, nonetheless. The chianti was okay, nothing to write home about. But this place is seriously cute. Really charming atmosphere. Definitely returning.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2765625; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The staff was amazing. Everything tasted amazing too. The portions were perfect and they did an awesome job spreading out your orders. The drinks were also amazing there!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.84; Sentiment_Subjectivity (from 0 to 1): 0.94 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 will live among the minority, but that's because I have specific tastes. I tried the traditional bowl, shiromaru, because there was something in the akamaru that I might have been allergic to (shrimp maybe?). This isn't your typical bowl of traditional ramen. At all. After eating it the first time, I thought it was tasty, but it relied a great deal on animal fat. I'm sure if you let the bowl sit in a refrigerator overnight, you'd be grossed out. Japanese people don't eat a lot of fat in their diet, so I asked my friend in Japan if he thought the broth over there was thick and confirmed my suspicion: this bowl of noodles was modified for American tastes. The broth is undrinkable because it's so thick with fat. The noodles are very thin. I've never seen ramen noodles so thin. That made every bite dense as well. I don't like that kind of consistency. I prefer it to be more chewy -- the ramen's version of al dente. The pork was very fatty and there was almost as much fat as meat on the slices. I might be exaggerating, but only a little. In most cases, as in this one, good dishes shouldn't have to rely so heavily on fat to carry the dish. The fat is so overpowering that there is little sublety or depth. The price is very high and the wait lines can be pretty long. All things considered, I prefer a more traditional ramen-ya.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.099089899; Sentiment_Subjectivity (from 0 to 1): 0.582307407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 affordable, no frills, solid food. Get anything they tell you to. so long as it has cauliflower.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.266666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For once Brooklyn has come to ME!... and for that alone I'd be willing to give them 5 stars. It just so happens that I am one of those extremely lucky people that work in the Mad. Sq. park perimeter! Today i finally decided to get my lazy ass away from my desk and go frolick at the pop-up Market. I've been meaning to try Pies n' Thighs for quite some time but haven't been able to make it to BK so i def. jumped on this opportunity. This review is only for the chicken biscuit magnificence -  As i haven't been to the actual Pies n' Thighs I can't give it 5 stars.  I am also not giving this god-of-a-sandwich 5 stars because their potato salad was somewhat disappointing and it was part of my lunch combo.. details below. Went for lunch around 2pm and didn't encounter a line. The menu has 2 options for a "main" (chicken pot pie, or the chicken biscuit); i opted for the chicken biscuit ($6) and a side of potato salad ($3).  The biscuit itself is a fried chicken cutlet, smothered with just the right amount of tabasco and honey, neatly packed in a greasy, layer-y, ehhh...biscuit! All of the flavors balance each other nicely and the sandwich is just the right size to not fall into a deep itis.   As far as the potato salad goes... meh.  I am a huge fan of the spud and  feel compelled to order potatoes in any shape or form wherever I go. In this case i was expecting something more "southern;" maybe a potato salad with bacon in it? but sadly it turned out to be the run of the mill salad that could have almost been from Costco. All in all I'm pretty happy with my meal and would still like to visit in BK! I will 100% recommend their chiiiiiicken.....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.01901455; Sentiment_Subjectivity (from 0 to 1): 0.753262787 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, it's lovely and quiet in here. Yes, I found a small insect slowly drowning in caesar dressing halfway through my salad. Yes, the veal bolognese was delicious. Yes, they should have comped the salad, but they didn't. Apology dessert sampler was OK; I know never to order the bread pudding. Yes, all in all, I'll probably be back. The veal bolognese really was delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.294444444; Sentiment_Subjectivity (from 0 to 1): 0.509259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you ever feel the need to punish your heart with absurd amounts of heavy cream and sausage - this is the place for you. The pastries are amazing (read: butter), as well as the coffee. You can even get full meals, but that didn't seem to be the main draw. It is pretty classy without being pretentious. The service was prompt and nice. I think the prices are really high (for what amounts to an extravagant coffee house) , but if you want to eat right on central park, you have to pay.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.126031746; Sentiment_Subjectivity (from 0 to 1): 0.684087302 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Artichoke pizza - GOOD, but would have been way better if it wasn't dripping in olive oil. Similar to bread with artichoke dip and an oil spill on top. The crust was also pretty burnt. The pizza was huge though. I would be interested in trying something a little more traditional. Also, two and a half hour wait on a Friday night for a two top? What the hell? If we didn't have our mind set on trying this pizza, we would have left.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.249679487; Sentiment_Subjectivity (from 0 to 1): 0.524358974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fresh noodles.  Good broth for the soups.  The knife sliced noodles (dao xiao mian) are unique --- definitely something to try if you haven't had them before.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.36625; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Only had breakfast and desserts there. Eggs Benedict was alright but the desserts were very good. Very fitting for the gentrifying neighborhood. Be prepared for a 15-20minute wait every time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.52; Sentiment_Subjectivity (from 0 to 1): 0.81 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not going to go on about the food, because the sheer number of positive reviews is a statement in and of itself. A group of friends and I were lucky to grab a spot for eleven (!) people, and the staff didn't even bat an eye. They were pleasant, hospitable, and accommodating to our needs. I highly recommend their duck with green curry and pineapple, which provided the right amount of spice for myself and a hint of sweet from the pineapples. My only wish is that I got to try the green papaya or the mango sticky rice (essentially the appetizers and desserts), but given that I was low on cash and didn't want to hold up my friends with another order, I will be saving that for another time. Just remember: CA$H only and closed on Wednesdays.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.105976912; Sentiment_Subjectivity (from 0 to 1): 0.608077922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went here for the Bloody Mary's.   I couldn't really drink mine because it was just way too spicy.  Even my friend, who's a bit more of a Bloody Mary connoisseur had trouble drinking it.  But the bartender was fantastic and she gave us more ice and tomato juice to water it down. Because of the incredibly long line for brunch, we went straight to the bar. We had hamburgers and French toast.  My friends said the hamburgers were outstanding - as well as the fries - and my french toast was to die for! In sum, the food is incredible, the Bloody Mary's - a bit too strong for the average joe, and the bartender was the most professional I've seen - when one person asked for water, she made sure to get glasses for the whole party, and though she was busy, she always knew when to come back to us.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.090338164; Sentiment_Subjectivity (from 0 to 1): 0.486352657 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: people say a lot of good things about this place. i think it was just ok. i ordered the thursday special which was beef with rice and plaintains. i also ordered fish with white wine sauce, black bean and rice. i was hoping this will be the win all fish. it was called gupo. the fish didnt have much flavor and i actually ordered yucca and rice but they just gave me black bean rice. the beef and plaintains was good but i dont think it was worth $15. in total my lunch cost me $30.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.268650794; Sentiment_Subjectivity (from 0 to 1): 0.390674603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best meal I have had in my life!!! We flew all the way from Kansas City and my boyfriend from Chicago to try meal that was suggested to me and we are happy that lines were not long for us to be able to try most delicious meal we have ever had. (compared to Delmonico's) where we ate the first night on our stay in NY!! Nothing against Delmonico's, but Halal Cart with secret ingredient with the best chicken and white sauce can not be compared to many other dishes. We came back three times during that weekend to indulge in consuming this savory dish. I would strongly suggest it to anyone, no matter what background, religion, culture, or taste buds you have!! I believe that this meal would make peace on earth, if everyone could eat it at the same time!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.329231771; Sentiment_Subjectivity (from 0 to 1): 0.490104167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh no ... itz no good now, it is used to be my favorite but now the quality of food go down!! Even the new branch is bad.... beware...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.131338384; Sentiment_Subjectivity (from 0 to 1): 0.602020202 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a pretty fun place to eat, despite the fact that the hostess sent us into disorganization when she quoted a two-hour wait.  (That wait ended up only being an hour, but resulted in us roaming through the East Village looking for other options and one member of our party eating some dollar pizza in the meantime.)   Once we finally decided just to wait it out, we managed to score a pair of seats at the bar (which had earlier been so packed we couldn't even stand in it) and ordered some drinks.  The bartender was friendly, but the "perfect Manhattan" on the menu was not all that perfect.   The food was decent, if a little overpriced for what it actually was.  That said, I wasn't eating at The Smith because I thought the food would be gourmet; I was eating there because I wanted the fun atmosphere where my friends and I could have dinner and drinks.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236858974; Sentiment_Subjectivity (from 0 to 1): 0.618589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummy food!  Definitely get there in time to be at the front of the line if you want to get a seat.  Go with one other person so that they can grab a seat while you place the order. We went on a Sunday when they reopened at 7PM, got there at 6:45 and they opened up at 7 sharp.  We got our pizza by 7:45.  Definitely a wait, but worth it.  It can get messy, so make sure you use those napkins. The fresh basil that's cut up when the pizza is fresh out of the oven is the amazing touch.   Also, BYOB.  Bring something to drink...you'll need it to wash down this yummy goodness!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.123232323; Sentiment_Subjectivity (from 0 to 1): 0.518434343 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a Fabulous Time at The Heath! Atmosphere was great Food was awesome Drinks were strong and service was impeccable and the surprise theatrics topped them all; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.696666667; Sentiment_Subjectivity (from 0 to 1): 0.846666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So we were on our way to find dinner with a beer garden in mind, walked by this joint and J decided he was too hungry to walked about 6 blocks so, we ate here. I got the Burger Deluxe. He got the Beef Ribs. We had Crab cakes to share and finished off with a Pinky Pussy Cat sundae and he got the Peanut Butter one. The food's good but I think we ordered too much. My burger was massive so I only ate half and picked at the shoe string fries. I picked at some of J's beef rib too which was tender and juicy. The beers were $5 and so were the sundaes which made for a good meal. $85 w/ tip. Although, about 3hours later, I am a little suspect because right now I've got a tummy ache and really need to go.... :P; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.256795635; Sentiment_Subjectivity (from 0 to 1): 0.558531746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch menu was okay. I had the Eggs Benedict and honestly have had better else where. The muffin on the bottom was hard as a rock and impossible to cut through which was so disappointing. I gave up trying to cut through it and just ate everything else.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.006944444; Sentiment_Subjectivity (from 0 to 1): 0.690277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: reminds me of post-mass sunday buffet at my korean church when i was growing up--a wide variety of korean staples with as wide a variety in terms of quality (i let my eyes order for me and bought twice as much as i needed). i give it four stars for all the choices and relative low cost. have only been once. may add or delete star based on subsequent visits. upon several subsequent visits i stick to my original rating. there are so many options you can only blame yourself if things go wrong. i recommend the warm rice treats just to the right of the registers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.084047619; Sentiment_Subjectivity (from 0 to 1): 0.445714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: SERIOUSLY SO GOOD! Got the sesame pancake with peiking duck, pork and chive potstickers, pork and cabbage dumping and shrimp dumpling. I've eaten sesame pancakes plenty of times before but never had it had it with filling inside. They added some pickled carrots with sesame sauce (?) and duck. It was literally the best things ever. I couldn't stop thinking about it for the next hour after my lunch. As for the dumplings and potstickers--huge fan of the potstickers and fan of the dumplings. Seriously though for the price it's hard not to be a fan. The restaurant itself is very small though so be mentally prepared to not find a seat and have to eat your food huddled outside in the cold. Luckily when my boyfriend and I came we managed to beat the lunch rush and enjoyed out food sitting down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075231481; Sentiment_Subjectivity (from 0 to 1): 0.475046296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: really good, really fast, really cheap falafel.  I took my parents here and I would go back.  Great idea grabbing a snack and eating it in WSP while you people watch.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.42; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a brunch of tomato salad and fried eggs here. Food was good, ingredients were fresh. Friendly service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.458333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/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: Sophie's just isn't as good for take-out. They constantly screw up my order and often run out of the little things of green sauce. Why so chincy with them? Perhaps they should add some people to the self-service line who understand english. I still think it's 5 stars if you're going to sit down.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.026157407; Sentiment_Subjectivity (from 0 to 1): 0.337037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Sicilian slice of my life. Ohhh.....Cheese. Glorious cheese.; 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 had high expectations for this place, based on other Yelp reviews. My husband and I went and it was fine. Just fine. Nothing to write home about, but nothing that would make this restaurant on my repeat list. We had the enchiladas.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.217083333; Sentiment_Subjectivity (from 0 to 1): 0.47875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so glad that this was delicious pizza...I was truly thinking it was just going to be another tourist attraction. I was wrong. At least on this day the food was great and service was attentive. The overall ambiance would make me come back. We ordered a large pizza with fresh garlic, onion, mushrooms and black olives. It came out in a timely fashion and was piping hot. The sauce was yum...not too sweet or tangy. The crust was golden brown and mostly crispy. Also, the pizza was not overly cheesy and heavy with oil. They use fresh mozzarella which is not oily at all so the pizza seems less heavy. We were seated upstairs by the window that overlooks the making of the pizzas. We were able to watch them prepare everything. It was a fun experience. The staff were nice, competent and quick. Everyone was smiling and helpful. We will be going back and also trying and comparing other locations :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.196045918; Sentiment_Subjectivity (from 0 to 1): 0.562329932 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ok yup the lines are long the place is cramped and doesn't even have a great decor... what is so special about this place?... its got swag and  that restaurant charm that makes you feel great every time you come with friends. they have great food too, very affordable and its just a trendy area where you can people watch as you wait... mmm mexican corn!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.445238095; Sentiment_Subjectivity (from 0 to 1): 0.546825397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Here's the deal.  I eat out at great restaurants all the time.  I ate dinner at Print on the weekend of August 8th.  The food was fantastic!  The service was fantastic.  Seriously, it was great and I'm a foodie and plan on going back.  Here's what is not great.  The drinks.  When you charge $16 for a cocktail, it has to be a very very good cocktail.  My cocktails were so mediocre.  I had the one with the tequila in it, it tasted watered down (and it's just a bad tasting cocktail, no flavor at all).  Everyone else agreed the food was great, but this place has to grasp that if you go to the Nomad and drinks are $14 and very very good, you can't just charge $16 and put anyone behind the bar, because I drink a lot and I know when a place has hired an excellent bartender or just a good one.  This place has a good bartender but it will hurt when you get charged $16 per drink.  Way too much.  So I will go back for the food but won't get sucked into paying $16 for a lame cocktail.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236555556; Sentiment_Subjectivity (from 0 to 1): 0.641611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Once is more than enough. The doors never open when they state they will. A cat walking across the food counter and don't think about using the bathroom. I live in Brooklyn and love Brooklyn pizza but cannot fathom why people wax poetic about this place. The health department has cited them so many times it is amazing they stay open. So, let the out-of-towners come here and lets visit our regular Brooklyn places.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261136364; Sentiment_Subjectivity (from 0 to 1): 0.532692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 waiting in line for 30 minutes I get to the counter the pizza was there but they made me wait another 5 minutes more just staring at the pizza AS IF THEY WANTED THE LINE TO GET TALLER  I think they do it on purpose  have we newyorkers  turned into line lovers ?????????  I want my slice in real time and I am out  but wait finally I get it and the is black I like my president to be black not my pizza .; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.073333333; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/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: 24 clams I threw down for a fisherman's stew. T'was chock full of onions, garlic, & tomatoes - that's true. Though I don't want to whine or to kvetch or to rant, the fish in this stew, at best? It was scant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.386111111; Sentiment_Subjectivity (from 0 to 1): 0.447222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 boyfriend took me here for my birthday dinner. It was difficult to find at night because the street it's on splits off unevenly.  Inside, the restaurant was cavernous and romantically lit.  The crowd seemed kinda haughty, as expected of a fine dining establishment as this.  Lots of suits and quite a lot of old couples.  The old couples were cute. Once settled, We had the tasting menu and it was fantastic.  All the courses were delicious.  My favorite was the lobster.  While picking our courses, I was conflicted over 2 desserts and finally settled on one. To my surprise, our server brought out both desserts for me! Awesome!   Service was impeccable and unpretentious. I'm also biased due to the extra dessert. They even give mignardises at the end, which we happily took home to savor. =); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.30245098; Sentiment_Subjectivity (from 0 to 1): 0.683823529 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dead Rabbit is a cocktail bar in the financial district. It's very much a speak easy atmosphere. The drinks are very good but on the pricey side. Try the Scottish Egg appetizer, it's egg with Sausage. The downstairs can be pretty cramped but still a good time. I wish they had a bit more space downstairs at the main bar.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.335555556; Sentiment_Subjectivity (from 0 to 1): 0.522962963 [/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: First time to Williamsburg and Brooklyn, where we decided to get a greasy burger to recover from the night before. We all went with the regular grilled burger and fries (I got the spicy [waffle] fries), a solid decision on our part. Good price at 9 bucks before tax, plus friendly chinese owners from Hong Kong that run this little place like the hole-in-the-wall joints we all love.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2046875; Sentiment_Subjectivity (from 0 to 1): 0.338782051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh Queens, how I love you and your medley of amazing ethnic food. *Great lunch specials (two starters, entree and rice and thai iced tea) for like $12 *Fast and efficient service *Cool toilets in the bathrooms *Yummy curry *Relaxing atmosphere *Outdoor patio *Lots of seating, good for groups *Only a few blocks off the 7 train line Only negative is they are closed Wednesdays; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.231818182; Sentiment_Subjectivity (from 0 to 1): 0.609090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This review is almost entirely based on the service. The food was fine, but it was not nearly enough to overcome the service issues. First, we asked to sit in the back. When the host went to check for seats, we heard the waiter who was working the front section tell the host to lie and say there were no seats. Then we heard the waiter complain about how everyone wanted to sit in the back, and we were his only table. But somehow, despite having only one table, he still managed to total ignore us. I had to actually standup and waive my arms around like an idiot to get him to come over so we could order. This place must be fine normally based on all the other reviews, but if you walk in and happen to have a lanky guy with saggy jeans wait on you, just leave. He's bad enough that it will definitely ruin your experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.023039216; Sentiment_Subjectivity (from 0 to 1): 0.517647059 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only real experience with ramen is with the cheap packaged stuff that we all subsisted on as college students. While I'm not a ramen expert, I know what I like and I liked Totto Ramen quite a bit. Their signature dish is a bowl of rich chicken broth with homemade ramen noodles topped with some scallions and a couple of slices of heavenly fatty pork (pork belly, I believe). Along with some edamame and a cold Sapporo, this was a satisfying meal. The person I dined with had the spicy ramen, which has spicy sesame oil drizzled on top. The little taste I got convinced me that I'll have to try the spicy variety the next time I can get myself to NYC. Beyond the food itself, I really enjoyed the whole experience of the Totto Ramen. The interior, below street level, is energetic but intimate and feels like its own little world. I was  a few yards from 52nd Street, but felt like I could just as well been in a ramen bar in Tokyo. The staff is busy and get to the point, but are nevertheless quite polite and friendly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.146428571; Sentiment_Subjectivity (from 0 to 1): 0.595238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You must come here! The place is small, lit with candles, and has a romantic rustic feel, but is still great for groups. The spinach gnocchi was delicious, and the pumpkin ravioli was AMAZING. Everything about this place was done well - from the service, to the food, tothe ambiance. And the best thing is that it's not going to empty your wallet! You MUST get pasta because they do it so well, and all of their pastas are less than $15. I'm going to come back as much as I can.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.305833333; Sentiment_Subjectivity (from 0 to 1): 0.461666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 twice- the second time was last night! While crowded and sometimes too noisy, the food pleases the soul. An eclectic array of choices ranging from Italian to Mediterranean and Middle Eastern.  I recommend the sesame salmon with Asian vegetables over bok choy, hijiki salad, rice and a nice lemon garnish. Conveniently  located in the heart of the bustling East Village- St. Marks and Second Ave, it's easy to miss.  However, in a memorable spot teeming with bars, the lovely waitresses and intimate atmosphere make this place stand out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.203030303; Sentiment_Subjectivity (from 0 to 1): 0.386363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great ribs!  I've been living in Woodside for over a year now and tried Peking BBQ for the first time today.  I think it's one of the most popular restaurants in the neighborhood...so shame on me for not trying it sooner.  I ordered combo #5 which comes with 3 spare ribs, pork fried rice, and salad.  They actually gave me 4 spare ribs (nice!) and they were delicious.  The meat came right off the bone - tender and juicy.  I will only come here for ribs from now on.  I didn't give Peking BBQ a 5 star rating, because the pork fried rice was a little dry.  I'll try the chicken next time I go since I hear that is delicious as well.  Definitely recommend this restaurant!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.302103175; Sentiment_Subjectivity (from 0 to 1): 0.644603175 [/INST] Not Spam</s>