Datasets:

syannn

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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: Came here for a birthday dinner, with a party of 8. They have 2 large tables (one booth in the back corner that can hold ~6) and the other is a table in the middle that can house up to 8. Of note, there is something off with the circulation and the booth can get very hot. We had an 8:30 reservation (credit card previously held for it) and were not seated until 9:30. Disappointing mostly because they first blamed our party for not being 'full' for seating (someone was having a smoke) and then acknowledged our table was not going to be ready for another hour. Did not comp our drinks either. Regardless, thought the food was really good. Large parties they do a prix fixe, which I thought was reasonably priced. Bites/Snacks: I don't like chick peas, but they had some deep fried ones (Crispy Chickpeas with Aleppo Pepper) that were really tasty. Along the lines of starters, the hush puppies were great too, and the Pimento Cheese Toasts were alright (similar to small ham/cheese sandwiches). I would pass on the oysters. Appetizers/Mains: Rye Berry Risotto - a dud. 2 people got it and it was more of a dried out quinoa and as such inedible. Butternut Squash Soup - with black trumpet mushrooms, with a good consistency Flatiron Steak - Well salted, and perfectly cooked. Carrots were a nice addition too. Dessert: They brought a massive bowl/plate of everything from brownies and cakes to ice cream. Think the chocolate peanut buttercup won out, but was all good but not extraordinary. Would not mind coming back here is there are no other reservations available, but would not consider it a destination restaurant. Decor good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.210335498; Sentiment_Subjectivity (from 0 to 1): 0.513347763 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 jem to have in the neighborhood! Tried the cabbage, collards, cornbread, traditional fried wings, yams, and mac and cheese and everything was delish! The potato salad and sweet potato pie were my favs, hands down. It's so good, I've been there twice this week. And Mrs. Napoleon is a sweetie. #adownhomespot; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.223611111; Sentiment_Subjectivity (from 0 to 1): 0.572222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: boqueria or sala 19 or otto is 10x better for around or less the money -  don't waste a night here.  We had bad service, OK food.  Sangria is bad but the wines are good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.00952381; Sentiment_Subjectivity (from 0 to 1): 0.428571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't believe that I never wrote a review for the Cafe.  I worked at the museum awhile back.  So got to spend more time here than most. There are certain places and time that become events or moments.  Drinking a coffee at the cafe, when it's raining or snowing and looking out at Fifth Ave for me will be a moment. Not to mention, they serve an excellent Kaiser Melange.  Medium bodied but isn't flat and bland, it has tones of nuts and well, it's topped with whipped cream.  Awesome. Awesome desserts.  Apple strudel and topfentorte were my favorites.  Light and just sweet enough.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.397718254; Sentiment_Subjectivity (from 0 to 1): 0.614980159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for a girl's night out. Dinner for two included: 1) KAISEN KIM-CHEE DON : Assorted Chopped Sashimi Mixed with Kimchee over Rice [Served with Miso Soup] $13.00 2) KAMO ROAST : Slices of Chilled Roasted Duck Wrapped Around Scallion Accented with Basil Sauce $9.50 3) FLUKE CARPACCIO: Thinly Fluke Sashimi Drizzled with Olive Oil Topped with Plum Paste, Salmon Roe and Shiso Leaf $10.00 4)  BUTA KAKUNI : SAKAGURA'S SPECIAL Stewed Diced Pork $4.50 (Per piece) 5) GYUTAN YAWARAKA NI : Beef Tongue Stewed in a Miso Served with Slices of Daikon Radish, Taro Potato, Spinach, and Shiitake Mushrooms $12.50   6) DESSERT:BLACK SESAME CREAM BRULEE with Black Sesame Ice Cream $7.00 and TRUFFLES Amazing food and a great dining experience: Priceless My favorite dishes were: 3)Fluke Carpaccio and 1) Kaisen Kim-Chee Don 6) Truffles The truffles is very very good. It is very rich in flavor, yet subtle. At first they look very ordinary and if you were not savoring it, you probably won't even notice the levels of flavor that slowly come up. Service was good. We sat at the bar, our water was never empty. Plates were cleared fairly regularly. We had the opportunity to taste different sakes before we ordered and when we ordered one glass, our server was nice enough to have the initiative to put it in two glasses for us without us having to ask. Still thinking about the truffles. The subtle richness...Mmmmm!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.205379819; Sentiment_Subjectivity (from 0 to 1): 0.627143729 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to ilili by the recommendation of a friend.  I was pleasantly surprised to find that all the meza dishes were favorable and created in a traditional manner.   The main courses were a whole other story, however.  My friend and I decided to try two specials, a lamb shank dish and a salted fish dish.  The lamb shank very very dry and the surrounding vegetables were undercooked.  And, the salted fish had a very fishy smell and lacked any flavor; I had to ask for lemon wedges just to make it edible.  While I would normally overlook the poor main courses  since the meza dishes were great, each main course was $40+ so I am extremely disappointed.  We spent on $80+ on poor dishes and for that reason, I am giving ilili two stars.  If you try this place, stick to the traditional items.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.005520833; Sentiment_Subjectivity (from 0 to 1): 0.5440625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pasta special is amazing ! This place is so inexpensive for the city. $18 unlimited pasta dishes, antipasti and salad.  Had a nice early dinner before caching the Rangers Playoff game.  Staff is amazing. We will be back Love Becco. Always a treat; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313392857; Sentiment_Subjectivity (from 0 to 1): 0.583928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was awful. I know this place has a bunch of fantastic reviews but it certainly lacks in flavor. I am a breakfast fiend and I ordered the "famous" blueberry pancakes. Not award winning. At all. They are mediocre at best. The maple butter syrup was great, and really the only thing that saved them from getting one star. The vidalia onion rings weren't great and the entire meal left MUCH to be desired. I am completely disillusioned by my choice of selecting this place. My friend had the fish tacos and he said they weren't fabulous. We are both foodies and know when a place sucks. Not worth the hype, and definitely not worth the wait in line. I've had better breakfast at Ihop and denny's.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.175714286; Sentiment_Subjectivity (from 0 to 1): 0.572321429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to try this place since I am a huge fan of lobster rolls! It's cool that they have an entire well of lobsters right by the entrance. Unfortunately, I cannot give them 5 stars because i do perfer Luke's Lobster. This place is also far to get to! I came here because i was on my way to Ikea. They have two areas. One area where you order your food, and a second area to sit.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.108673469; Sentiment_Subjectivity (from 0 to 1): 0.672959184 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know about the other people who would frequent Oz like my friends and I, but we were pretty upset when Oz closed. Sure, the service wasn't fantastic. To us, it was familiar and it was a great place to have some hot tea and hot pot at a relatively low price. We would sit there for hours and never got kicked out. First, I was apprehensive about this new fangled place. And for the $18 price tag for hot pot, I wasn't exactly on board. But my friend was paying so I agreed to go to dinner here. We were pleasantly surprised. For that price we had many options of hot pot to choose from including pork, shrimp, chicken, beef, fish, etc, etc. That price also includes a drink, a cold dish, a pancake, a bun, and tip. I believe they recycled Oz's tables and chairs, so there was a sense of familiarity I liked. The changed the little stoves that the hot pot goes on, thankfully. They are electric and work nicely. My friends and I had a lot of food and I believe there isn't a limit to how many plates you can order. And the food itself was pretty good! I don't recommend the beef balls. They were hard, even after boiling them for 20 minutes. Everything else was great! The service was just fine. The waitress understood Mandarin more than English. Not that it matters since I always go with my Chinese friends! I'm definitely coming back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.221396104; Sentiment_Subjectivity (from 0 to 1): 0.598383838 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was amazing, but the service the first time I came here was horrendous. First, the service: The staff acted as though we were just lucky to be there but weren't especially excited that we were. It took us about 15 minutes to get our coffee, then didn't get it refilled until about another 10 minutes after it was empty. BUT, the FOOD was so amazing, my mom and I did end up feeling pretty lucky to be eating here. We were there for brunch, and I can't remember what my mom got because I was so taken by my dish--the baked polenta: a polenta cake with goat cheese and what tasted like a chipotle topping, a poached egg, kale, zucchini, and some amazing bread. I quickly became full and was so sad because I wanted to finish every last drop of this dish- that's how amazing it was. The one thing I remember about my mom's meal was an awesome piece of cornbread with whole pieces of corn in it--a little sweet, a little salty, and totally amazing. I think I ate the whole piece. Edit: Service has been better in later trips and food has been just as good. Highly recommended and a mainstay of mine.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307115385; Sentiment_Subjectivity (from 0 to 1): 0.636153846 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! The minestrone soup was almost as good as the genuine banter the guy at the counter had with the regulars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.658333333; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, Walter. Can I call you Walter? I feel as though I could fall in love with you, but you'd end up breaking my heart. You, with your bowties, and your plump, beautiful oysters;* you are both classy and classic, simple and elegant, and just a little bit out of my league.** You are so distinctly American, in all the best ways. Your food is hearty, but refined; flavorful, and skillfully prepared. Your menu is concise, and I feel as though I would be happy with any choice I made. And now that you serve lunch, I want you at midday. The steak salad is nearly perfect, combined with the blue cheese, frizzled onions and roasted red peppers atop a bed of spinach. And toss in just a couple perfect, West Coast oysters...afternoon delight. __________ *Not a euphemism. **OK, a lot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.395572917; Sentiment_Subjectivity (from 0 to 1): 0.563988095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place needs anymore reviews but here goes.. Seriously love this place and it's my go to if I'm in the area and want to grab a drink with a friend. Happy Hour ends at 10pm but by that time its so crowded good luck getting to the bar. Such a trendy atmosphere and those $5 Lychee martinis are strong.They do not skimp on the alcohol. Awesome place to pre-game on the weekends before a night out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: the food is simple and the menu's small, but everything is consistently well-prepared and delicious.  whats more, the prices are really good- it's esp. hard to go wrong with house wine that cheap.  this is how italian food should be.  straightforward and satisfying with good ingredients.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.26025641; Sentiment_Subjectivity (from 0 to 1): 0.555677656 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 foie gras, rabbit dish. The seafood stew one was ok, which made it lose one star.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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-pooed-dooooo...why must we have this stinky relationship?! I want to like you, I really do. Its definitely you, not me. The hostess must have been extra constipated last Friday because she gave all of my party grief/attitude when asking for a table. It made our decision to go to Minca Minca Minca a lot easier. I do want to thank the servers and chefs who are very consistent with excellent service skills every time I make it past the hostess desk/bar. Thank you.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.182142857; Sentiment_Subjectivity (from 0 to 1): 0.348809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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... A friend and I hosted a Bridal Brunch here and it was GREAT!!! The food which was a bit different from most spots that I frequent but had many of the staples just done in a different way. Egg Quiche w/ Sweet plantains, French Toast, Bean & Cheese Pupusas, Jicama Salad, Rice & beans, Pulled pork (not for me), tortilla & avocado, w/ Sangria, water, juice, and/or coffee. I think what made everything more enjoyable was the staff/. The were super nice and accommodating... Whenever we ran out of food they already had more coming out. They were nice & fun! Need a venue for an event...here is the place to go for brunch!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.419734701; Sentiment_Subjectivity (from 0 to 1): 0.560416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quick summary: The food was good but I've had better elsewhere. The waitresses were either slow or just incompetent. The burrata appetizer was very good but made me pretty full early on in the meal. The black truffle gnocchi was tasty but way too rich (and I usually love rich, buttery, creamy dishes). The gnocchi was soft and pillowy but it was too much of the same. The shrimp fettucine was delicious. The pasta was fresh and cooked perfectly al dente. The grilled shrimp was sweet and flavorful with a nice char. This was my favorite dish. We ordered the chocolate crepes for dessert which was sweet but not too sweet. The girls next to us didn't touch their Bloody Marys, so I'm guessing that not only were the drinks ridiculously small but they were also unappetizing. We waited forever for our checks. Two waitresses saw us with our jackets on and purses plopped on the table, ready to go (we were late to a concert). The place was nearly empty. Yet they just turned away and continued to fold the linens because that's waaay more important than taking care of your customers. Wouldn't recommend.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211078431; Sentiment_Subjectivity (from 0 to 1): 0.619264706 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visited SoCo on 7/14/2012 for a birthday celebration for my brother along with 8 others. The wait time was  RIDICULES, almost 2 hours and the gentleman at door the door was NOT friendly at all might I add. His attitude was the WORST!!! Yes, we did you a reservation however since two people (the guess of honor & the person bringing him) wasn't there at the reserved time we could not be seated and our table was giving away. I was told there's ONLY 1 table for large groups. NO ONE apologized or tried to accommodate in anyway. The food was great and so was our waitress (Tank). I would not go back...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.028869048; Sentiment_Subjectivity (from 0 to 1): 0.613095238 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was pretty good. Great fries. Excellent ketchup. But... "The Jankelowitzes always worked front of the house," (from NY Mag review). I would be surprised if the manager I spoke to was family, so utterly uninterested was he in my request/reminder that sugar be served with espresso when it's set on the table. I waited several minutes, as my espresso cooled, trying to get the attention of the waitress who ignored us and who had been fairly unhelpful all evening (when we asked for descriptions of a couple of items on the menu, her response was curt: when my husband paused for a moment to consider his order, she tapped her order pad like a diner waitress over loaded with customers-the place was less than half full at the time; later, when I asked for a spoon for the broth with the mussels, she brought a teaspoon!?!?) So, when the espresso was served without a side of sugar, I thought who trained her? Soon after, a mention to the manager that the waitress should have brought sugar along with the espresso illicited from him a blank look of "I don't understand you." I asked what language we were all speaking, although I'm quite sure everyone was American. When the fresh espresso was served, it came with sugar and without apologies. The unpleasant attitude of the waitress and the dismissal by the apathetic manager certainly make me not care about going back to or recommending this (my) neighborhood restaurant. There are so many other places with good fries to choose.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.22754329; Sentiment_Subjectivity (from 0 to 1): 0.514484127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Being Thai myself, I'm usually pretty picky when it comes to mommas cookin. I gotta admit though, their pad ped moo krob was pretty solid. Spice wasn't over the top as it sometimes can be, and they did a great job of balancing crispiness on top with a soft meat portion.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.342857143; 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 experience.   Excellent food and service.   Nice oval table for our group of six.   Unique favors and great quality.   We particularly enjoyed the 'Chef's selection of five appetizers'.    Our waitress Jamie was outstanding!   We will be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5875; Sentiment_Subjectivity (from 0 to 1): 0.759375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 convinced my friend to stick out the 30 min wait for a weekday lunch at Ippudo, but we came out feeling pretty apathetic about the food and a little mournful of our lost money. The ramen especially was VERY disappointing (we split the Modern), especially considering the price tag. At $15-$20 bucks a bowl, I would have expected more than (what tasted like) Barilla thin spaghetti, three tiny pieces of cabbage, some sprinklings of seaweed, and two pieces of pork. The broth was good in the "this is kinda salty but it's comforting" way, not in the "wow these flavors seem so complex and subtle!" way. We also got one order of appetizer pork buns each. These were delish. The pork melts in your mouth (and rightfully so, as the cuts are 40% fat), and has a really strong flavor. However, they add dollops of mayo to the buns..which tastes good, but at the same time, I was thinking ...really? mayo? So again, no real complexity or finesse. (and honestly, does anything NOT taste delish with mayo on it? ..) The total bill came to 47 bucks at the end of the meal (keep in mind we SPLIT an entree). Neither of us felt the food justified the price - it was like an asian twist on cheap bar food, but made expensive with fancy plating and an over-valued sense of self. While the pork was good, it's a common enough dish in asian cuisine- If you go to any legit Chinese restaurant, you can order a plateful of the same pork for half the price. However, Ippudo had good service and a very relaxed atmosphere. We sat at the counter and were pretty entertained by all the Japanese back and forth screaming and watching the 'chefs' work. This is not the place to go for a cozy intimate date as there's barely any private seating (mostly either counter or 'group' tables), but as a casual best friend catch-up locale it worked perfectly. Overall, we don't regret the trip, which is why I gave it 3 stars. It was a fun enough time and we can now check Ippudo off the 'list' and say "yea, we did that." But I wouldn't come here for really stand-out ramen or if you care about value.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.094308511; Sentiment_Subjectivity (from 0 to 1): 0.496843972 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walking around,  trying to kill time.  The pictures of menus in the windows cough my attention!  I looked inside the window thinking yeah right,  with this prices,  how good could it be.  Noticed an A on the door,  just so happens that I was there 5 minutes before they open.  Ppl started to wait outside!  So I figure Hey!  Give it a shot.  GOOD CALL!!  food was very good!  Service was great!!!  Price,  food,  service were really good,  check the pictures!  Must try place!!!  :-) Happy Happy Happy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.673809524; Sentiment_Subjectivity (from 0 to 1): 0.701309524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Beautiful Sunday afternoon spent eating delicious arepas.  Tried the mami I believe that was the name of it. It consisted of Venezuelan roasted pork with sliced avocado and white cheese stuffed in a thin bread.  Absolutely delicious with all the juice from the meat dripping. Green sauce and hot sauce on the the table to add as you like. Pitcher of fruit filled Sangria what better way to spend an afternoon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not sure I get the hype. I ordered the Smoke Shack burger and regular fries. It was definitely a decent burger, but nothing spectacular. The spicy peppers on top of the patty give it flavor (that really didn't come from anything else.). The fries were definitely not my style. Tasted like frozen, reheated fries. If this had been a $5 meal, I would have loved it. But at $10 for just a small burger and blah fries (no drink), I would rather go elsewhere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.185185185; Sentiment_Subjectivity (from 0 to 1): 0.548053181 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the ramen soup. At $9, it's the cheapest I've found in the city. Also the worst. Noodles lacked springiness and broth was bland. Best I can say for it is the portion size is large. Might go back to try some of their other, better reviewed items, but avoid the noodles.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.06037415; Sentiment_Subjectivity (from 0 to 1): 0.490986395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and B is famous for their square slices and spumoni so I went to try. I was never really a fan of square slices. It's too thick and reminds me of nyc public school school lunches. I gave the square slice a try and it was just okay for me. I love triangle slices more because it's thin, crunchy, and the cheese is stringy when I take a bite. I bought 2 slices and it got me really full. Eating the square slice was like eating bread. It was too doughy for me. On the positive side, I liked their sweet tomato sauce and the thick crust. The square slice didn't live up to the hype for me. I'll be better off grabbing a slice from my local joint.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.191477273; Sentiment_Subjectivity (from 0 to 1): 0.513257576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ramen (add a couple of toppings!); loved their sashimi too. Friendly staff. Not crowded. I definitely recommend it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.51875; Sentiment_Subjectivity (from 0 to 1): 0.6375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: B rated. This place is so dodgy. They for a VERY short period had an A which they place in the middle of their front window. When they revert back to a B, they hide it behind the bamboo pot plant out front. Food is average diner quality etc.  I gave up on coming here a long time back due to shitty hostess. Constantly told 15 minute wait which always turns into 30-45 minutes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.080555556; Sentiment_Subjectivity (from 0 to 1): 0.288703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: mm... Just Okay. Went here for a friend's birthday dinner.  Food was alright. I ordered a falafal and would much rather pay $5 from a street stand. Will have to come back for brunch sometimes and maybe my opinion will change about their food.  Would be cute to take a date since its quant and cozy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.49 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'd rather say 3.5 but if I have to choose between 3 and 4, then it will be 3. I wouldn't argue with quality of meat, could feel that they are indeed using good quality of meat. We had Berkshire belly, Sausage, rips and boneless rips. They were good but not amazing. Perhaps reason makes those not amazing would be condition of food. It is BBQ and people expect meat heated from strong fire or very hot oven when they are eating BBQ yet foods here were warm? may be closed to "cold". It became cold while we were eating which was very disturbing especially for meat lover like me. It  They had good side dishes, such as bean, potato salad and broccoli salad. Nice environment; easy to go to grab beer, will visit again next time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.114215686; Sentiment_Subjectivity (from 0 to 1): 0.72745098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not worth the wait in line. Decent Pizza, but has become to touristy with its fame.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.008333333; Sentiment_Subjectivity (from 0 to 1): 0.383333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So many great options on the menu it was hard to decide. None of it disappointed. Party of 4, everyone enjoyed it. Desserts were amazing as well. Would go back again. Hard to get a reservation on a short notice though.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.118518519; Sentiment_Subjectivity (from 0 to 1): 0.553703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Empanada Mama is it's own 'thing'.  Like, sometimes you're in the mood for Thai, sometimes you're in the mood for Indian, and sometimes you're in the mood for Empanada Mama.   The good - the empanadas are almost all good.  The corn shelled ones are a bit harder, and the wheat baked are very soft - so order according to your preference.  But the stuff in the middle is all fresh ingredients and will never disappoint.  Sangria is the best in the city, and I'm not even usually a fan of sangria.  The 'green sauce' for dipping is so good, you'll want to get a to-go order to bring home.  For dessert - get the Romeo & Juliet.  It sounds weird, guava and cheese, but, just do it.  It is by far the best dessert.  As for the main empanadas - they're all good - TJC, Hawaiian, pernil, cuban - so many excellent choices. The bad - the place is very small so if you like personal space, you'll want to order for delivery.  Fortunately, they do deliver in a pretty wide radius.  Eating at Empanada Mama can sometimes feel like you're eating on the train.  Expect to find an ass in your face if you turn around too quickly to get up from your seat.   There are some really friendly folks in there (Joel, Valeria, Stu, Armando, Grace - and most of all - the owner, Socrates.)  Occasionally, though, you'll be rushed out or even told to wait outside for your food by someone who clearly doesn't want to be there.  It's like anywhere else - staff varies often times dependent on business and the time of day/night. Overall - whether you order for delivery or eat in - you'll definitely love the food.  Outside of empanadas, they also have some really good Colombian breakfasts served 24 hours a day.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252352941; Sentiment_Subjectivity (from 0 to 1): 0.47745098 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've had this LES gem bookmarked for years as fan after fan told me they happily waited 2-3 hours for a meal at the Clinton Street Baking Company (uh, what???).  What do they make so well that it's worth waiting 3 hours for?   I had to see this for myself.    I arrived around 11:00am on a Wednesday and heard there was a 40-minute wait so I proceeded to the takeout counter.  I'm not a patient lady when I am hungry so I opted for takeout instead. As my eyes scanned the menu, I noticed a gal sitting at the bar smiling as a server placed in front of her a heap of some perfect-lookin' pancakes with banana and walnuts.  I watched as she took her first bite and her face lit up.  Intrigued, I told the guy I wanted whatever she was having and then the Southern breakfast special.  He rang me up (2 orders cost me $25, cash only) and I left about 15 minutes later, armed with an exciting brunch.   I arrived at my grandma's spot just a few blocks away, giddy with excitement that i brought "famous goodies" (direct translation I used) to share with her.  We got to eatin' and everything was good.  Best I've ever had?  No, but good enough that I'm willing to return and endure a 3-hour wait to find out what other good stuff they're cookin' up. The pancakes were a perfect balance of sweet, fluffy and decadent.  The Southern breakfast was very savory and filling.  Awesome brunch meal I'd happily repeat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.337774725; Sentiment_Subjectivity (from 0 to 1): 0.514606227 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This review is for the bakery portion of the restaurant, as we only got the raspberry cheesecake and the black and white cookies. I don't know what black and white cookies are supposed to taste like; I pretty much ordered one because it was mentioned on "Hart of Dixie," and I thought that if the title character was hankering after them enough to have them shipped to Alabama, surely they must be good. The ones here were okay. I ate them, but they didn't knock my socks off. With regards to cheesecakes, I like dense, creamy ones, and the one here was excellent. The crust was a little pointless to me, as it was soggy and didn't offer much texture contrast to the rest of the cheesecake, but it was thin enough that it was no big deal. I would have preferred a graham cracker crust, though.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.121064815; Sentiment_Subjectivity (from 0 to 1): 0.511419753 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brooklyn fare kitchen "class" meets at 7pm, only 10 "students" get reservations.  you sit, you meet, you chat, and then Cesar Ramirez whips up dinner three feet in front of you --an 8-course meal (give or take, because depending on his mood, he may change it up or throw in a little something extra).  we had brains, scallops, veal, tomatoes, hibiscus infusion, halibut and a whole mess more.   his resume is crazy-- just go check out the website.  the food is completely delicious--he talked about balance being the key to a good dish, you GET TO SEE his technique UP CLOSE), and he really truly enjoys talking to the diners and hearing what they think.  after every course serving, he'd wait about five minutes and then say: "How is it?" don't forget to bring cash to tip the sous Juan and busser.  and wine, plenty of wine.  it's BYOB and the menu can vary, next time i go i'll bring one white and one red instead of just red. Get Your Reservations Now.  a year from now, this place will cost twice as much and the waiting list will be 6 months long.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.052205882; Sentiment_Subjectivity (from 0 to 1): 0.375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Glad to see that others agree that this is AUTHENTIC indian and fine at that. Great naan, great chicken tikka and korma. Flavors of the curry are bold and spicy and perfection. Planning on bringing my friends in for sure.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.40625; Sentiment_Subjectivity (from 0 to 1): 0.781944444 [/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: Let's get right to the point while I'm still digesting. The bread is as everyone else says, quite tasty. It was served with a black bean dip/butter. My husband had a Fresas Sangria and loved it. It is blueberries, strawberries, raspberries with a rum razz. I did not drink so my head was completely clear to properly review this place. Entrees: Vaca Frita al Caballo - is not actually vaca frita! What you get is a whole churrasco (skirt steak) served with a fried egg and over fried rice & beans. Ok, vaca frita is supposed to be shredded skirt steak fried pretty close to crispy. Rice and beans should absolutely never be fried, they just taste like you over cooked your moros, or even burnt them. The only positive thing I can say about this dish is that the steak is so tender that a butter knife is all you need, and what Cuban would complain about a fried egg over their steak & rice? The steak was actually quite tasty, but it is NOT vaca frita, so don't call it that. Lechon - Well, when I think about lechon it is usually some juicy, garlicy or lemony prepared roast pork. Not here, they serve it with a mushroom sauce and tamal. The tamal is actually liquid, not bad, but certainly not a tamal. The lechon was extremely tender and fell right off the bone shank, and I didn't hate the mushroom sauce, but it just isn't the same. Dessert: Crema Catalana - Spanish Traditional Dulce de Leche Caramelized Custard. Ok, this sounded close to flan so we tried it. What we got was flan flavored crème brûlée. It wasn't bad actually. Tasting of Sorbets - Guava, Passion Fruit, Coconut Ginger. The Passion Fruit and Guava sorbets were delicious. We absolutely loved them. The Coconut Ginger was terrible. Why did they mix ginger into this when the other two were left alone? I had such a strong ginger after taste that it ruined the entire meal for me. I STILL taste ginger, an hour later, and it is driving me insane. Service: Service was great and attentive. We made a reservation and were seated immediately. The place wasn't packed when we arrived but filled up a little. Decor: The decor is lousy. There isn't a drop of Latino culture, much less Cuban culture in this place. There's a wall with a sad attempt of flavor and they do play Spanish music, but it falls flat. Poor branding: Let's discuss the name of this place: Calle Ocho. Why would you take a name that represents the epitome of traditional and authentic Cubans, and use it on a Nuevo Latino establishment without an ounce of neither tradition nor authenticity? To me that's false advertisement. From the name of the restaurant to the name of their dishes, it is one false advertisement after another. The owner seriously needs to learn about branding and labeling. That being said, I almost always do research before trying a new place and that was the case here. I knew going in that it was Nuevo Latino and I knew that most of the things on their menu didn't jump out at me. So I went in not expecting much, and yet I was still disappointed. I've tried Nuevo Latino before and have never been this disappointed, because they've always kept Latino roots in their flavors and mixes. Calle Ocho does not. They take Cuban dishes and completely take the Cuban out of them. I didn't see one other Latino there while we were there, which goes to show you. I should probably mention that I am Cuban, from Miami, and used to frequent the real Calle Ocho all the time. They are WAY too overpriced for the mediocre attempts at Latin Flare they give you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.008900185; Sentiment_Subjectivity (from 0 to 1): 0.536631538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cocktails and everything on the menu is delicious.  The decor is also quite cool.  Try the ReTox cocktail...incredible.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.675; Sentiment_Subjectivity (from 0 to 1): 0.825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went for brunch today.  I went based on Yelp reviews but honestly I've had much better.  The fries tasted like they were fried in reallyyy old oil.  The omlette was pretty good but the pancakes were eh, nothing crazy.  They were crunchy on the outside and so soft on the inside that it was messy and fell apart.  I guess it depends how you like your pancakes but I wasn't a fan.  Also, keep in mind it's cash only.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.145; Sentiment_Subjectivity (from 0 to 1): 0.59 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yum, yum, yum! Hello food coma! Loved every bite and would go back every day! Shared the Noah's Ark with a friend and was just the right amount of food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.215178571; Sentiment_Subjectivity (from 0 to 1): 0.333928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to come here for awhile but I knew there was always a wait to eat and I'm not a fan of that! I finally had the chance to come by when I had some visitors in from out of town. Lucky for me... they put their name in and were drinking at the bar for two hours. I got to join them just as they were sitting down (sweet!). This restaurant has a great atmosphere. It's cozy without being too cramped. It has a casual coolness that only can be pulled off in Greenwich Village. This is not a place to just "eat food." This is a place to have an experience. To savor a meal with friends. If you are in the mood for that, you will be very pleased. If you are rushing trying to get somewhere else you will not... We had the Roll Mops aka pickled herring to start. I never thought of myself as a fan of this but they were great. We then had the special which happened to be sausage. We shared an awkward moment with our waiter as he was detailing this "special sausage" to us. I then tried the infamous burger and it was as good as everyone hypes it up to be. It was cooked medium rare when I requested medium but the quality beef made this a non-issue. We shared several glasses of wine, beer, prosecco... Topped the meal off with the flourless chocolate cake. We made some friends at the table next to us. All in all we spent nearly five hours there! It was such a fun night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.141116522; Sentiment_Subjectivity (from 0 to 1): 0.624170274 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a great experience here.  The music was delightful on a Saturday night, the food wasn't too expensive (but still excellent). The highlight of my evening was watching all of the Brazilian women, of various ages, singing along to the music.  Really felt like I was in Brazil (though I've never been, so I can't really comment on that). Only downside is that it's quite small and cramped, but that does add to the atmosphere.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.272222222; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ended up going to Pulperia when a nearby spot had a 1 hour wait. A quick Yelp of places nearby yielded this relatively new 4+ star Mexican place so we decided to try it out. The ambiance and interior was a great mix of modern decor with some rustic pieces. Not too loud, not too quiet. Our waiter, Daniel, was very friendly, knowledgeable and attentive. When our appetizer took a little longer than expected he gave us chips and guac without us asking, which were quite tasty but nothing crazy. We got the lobster taquitos to start which came on mini fried wonton wrappers and were a great two-bite, refreshing appetizer - I would highly recommend! Then we shared the albondigas (lamb meatball dish) and papardelle. The lamb meatballs were fantastic. A nice caramelized outside, and tender, juicy, and flavorful inside. The papardelle I was less crazy about but my friend enjoyed it. Finally, as we were finishing up our meal, Victor, who is presumably the manager or owner, came and asked us how are meal was and how we liked the place (as this location had just recently opened). After a few minutes he offered us a pineapple-infused pisco punch that was fantastic. The food alone would warrant a return visit, but after we saw the great service and hospitality, we have even more reason to return. I would highly recommend this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.20907001; Sentiment_Subjectivity (from 0 to 1): 0.594294671 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 creative and delicious! I had the spicy mang roll and it was spicy, as stated and very tasty. It was such a cute little spot, just 3 table and fortunately due to rain, I was able to sit at a table and enjoy.  The lemonade with mint and cucumber was refreshing. Highly recommend checking this place out; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327045455; Sentiment_Subjectivity (from 0 to 1): 0.667272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Got the enchiladas mole...they were pretty good! I'm glad I chose that over the enchiladas verde because I can't really eat spicy food, and mole was not spicy. The verde enchiladas were pretty spicy and I definitely wouldn't have been able to finish it! Didn't get to try their tacos...mainly because you have to get one plate with the same meat (no mixing and matching..boo). My friend had a dish that had fish in a thick chipotle sauce served with sliced bread. That was REALLY good....almost like a curry. Mexican curry? Sure, why not!? Service was great as well. Come early to put your name down....we got a table in and 1hour and 20 mins, and that was considered to be not too bad of a wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.228333333; Sentiment_Subjectivity (from 0 to 1): 0.55537037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap, delicious empanadas open 24/7. Awesome! We wandered in at around 2 30 am and were pleasantly surprised they were having happy hour!! It's from 1-4 am, with $5 drink specials. The red sangria is excellent, though I would skip on the white one. And the margaritas are nice and strong. But anyways, on to the important part - the empanadas! We sampled 5 different emapanadas. Here is how I would rank them: 1. Spicy Chicken 2. Brasil 3. Viagra 4. Cuban 5. Tuna/Jalapeno I would highly recommend the first 3! The cuban is decent, not bad. And I would skip on the Tuna one altogether. I also had the fig, caramel, and cheese dessert empanada on a separate occasion. Such a strange combination, but it works! Throughly enjoyable. The only bad thing? I was SO FULL and felt SO GROSS for the entire day afterwards. Heavy fried things tend to do that to me.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.196785714; Sentiment_Subjectivity (from 0 to 1): 0.64577381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Saturday 8pm-ish. No wait, but there was quickly a short line after we sat down. So cheap. I know it's no longer BYOB but a bottle is like 15-20 bucks, so no worries there. The food is DELICIOUS - it all came out so fast. Everything was cooked to perfection and was fresh. My girlfriend and I split 3 entrees and an appetizer and ate it all. And despite being I was uncomfortably full, it was all worth it. We stuck with the recommendations on their chalkboard. Maybe next time we will venture out to some other things. Perfect for the vegetarian with the meat-loving significant other.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.270726496; Sentiment_Subjectivity (from 0 to 1): 0.512606838 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything from the friendly wait staff to the delicious food was above my expectations. Small menu offerings, but something for everyone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28125; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, so I finally had dinner here. We made a reservation for 10 pm and now we know that we should either come earlier in the future or reserve the popular dishes that we want when we make the reservation. They were out of the maialino (big disappointment) AND the raviolo AND the olive oil cake. The bread was delicious as always, and the pasta dishes we had were all excellent but a bit on the salty side. I made our waiter feel bad for being out of everything we wanted haha so he gave us a few different types of gelato on the house (each one was really good) and promised that next time we come (and reserve those dishes before coming in), they will be on him. I told him that I would hold him to this promise, so we'll see! The service here is great. However, I was here for brunch last weekend, and our waitress was totally out of it. She wasn't listening to us and screwed up several things on our order without apologizing. Everything was fixed eventually, but it was just surprising for this restaurant. One more thing--I tried the raviolo and YUM.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.209090909; Sentiment_Subjectivity (from 0 to 1): 0.479924242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with my girlfriend for dinner after picking up her lost wallet at the 94th Precinct. Being in a predominantly Polish community in Greenpoint, we were recommended this place from her coworker. The food was excellent and had a down home feel that made you think you were in a Polish grandma's kitchen. We started off with the mushroom and barley soup and the free sides of carrot salad, sauerkraut and cabbage salad. This soup is one of those soups that you want on a cold day. For entrees, she had the polish plate and I had the veal meatballs with a dill sauce. The polish plate had kielbasa, stuffed cabbage, meat pierogies and potatoes. Both entrees were delicious with the kielbasa, pierogies and meatballs being our favorites.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.328888889; Sentiment_Subjectivity (from 0 to 1): 0.817777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is, hands down my fav restaurant in the city. Nothing compares to it.I've been coming here for nearly 5 years and not a single time it has let me down. Get the cheese croquettes and end the meal with their waffles. To die for! Mondays is a great day if you enjoy Belgium beers since they are 1/2 off... Would go back again and again and again; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.140816327; Sentiment_Subjectivity (from 0 to 1): 0.348866213 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As George Dubya says, Fool me once.... I've been putting off reviews until long after I've eaten at the place, which makes for a pretty vague review or a pretty honest one as you either remember the food as being great or regrettable. I remember the food being too expensive and too bland. We were a party of 3 with high hopes, but weren't impressed. We ordered the pork nuggets with spicy sauce which honestly could be a public school kid's daily lunch. Enough said. The cheesy curds were mediocre. And the entrees were forgettable.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.055490196; Sentiment_Subjectivity (from 0 to 1): 0.681764706 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 slightly disappointed with this place, and i've been wanting to try it ever since Matt Lang was on pitmasters.  It was cool to have him ring me up though. My friend and I got extremely lucky, and did not have to wait too long, 15/20 minutes.  As neither of us had been here, we figured, let's try a lot.  I ordered some pulled pork, some brisket, pork ribs, and burnt ends baked beans.  My friend ordered brisket, beef ribs, pork belly, and also the burnt ends baked beans.   Our first bite was of the baked beans as so many people have already wrote about and raved, and we were pleasantly surprised with it.  Then, it kind of went downhill.  Our briskets didn't match up, which was odd, considering we got first and second cut off a freshly placed hunk of meat.  My brisket was delicious, nice, tender, and juicy, my friends, not so much.  My pulled pork was just lacking, as were my pork ribs, there was a complete lack of meat on them.  The pork belly was pretty good, but the beef rib was incredible.   We could have come up with a 4 star dish, beef rib, my brisket, and the baked beans, but it still would not have got a 5.  It's unfortunate that there were downfalls with some of the food.  And what hurts it even more is it's not cheap, at all.  $30 and $40 respectively.   What is really cool about the place is the atmosphere, setup, and bar/beer selection.  The meat case is right in front of you when you order, everything is cut to order, but the major downside to that is, a lot of the meat doesn't stay warm as there is only one person taking and prepping your order.  I can't imagine what this place is like when it's warmer out and there is a ridiculous line.  You'd order your food, and have to wait forever to get a seat.   Is it worth the try, yeah.  Will I come back anytime soon, unfortunately not.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211923363; Sentiment_Subjectivity (from 0 to 1): 0.597991071 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't believe it took me so long to get here. The food was great without being over the top. It was real food-very comforting.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.4875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's only right that I keep the 5-star winning streak going for Gaia on here. The food is absolutely fresh, delicious and affordable. In search of a light lunch, the bf and I each ordered a panini. I had the Sano made with frittata, pesto tomatoes and arugula drizzled with olive oil and he the Delizioso made with prociutto, mozzarella, tomatoes, anchovies dressed with mustard. Both of our paninis were perfectly composed, with layers of beautiful flavors and textures in every bite. I loved how fresh the ingredients were, especially the crispy flatbread that are baked in-house. What's even better is that the paninis were perfectly portioned, enough to fill you up without weighing you down. Definitely a major steal for $5. I can say with confidence that I will probably be back again and again. All the paninis, pasta dishes and other specials on their menu all sound phenomenal. Add in the classy yet casual ambiance and friendly owners and staff, and we have a real gem.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320527447; Sentiment_Subjectivity (from 0 to 1): 0.642344577 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the pizza, love the happy hour specials, and love the service - with one exception. The hostess (tall, skinny, blondish woman) always comes off as standoffish and rude. I'm not sure what her job is other than to act pretentious. She is so rude, that if the pizza weren't so good, I would never ever come here again.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.1725; Sentiment_Subjectivity (from 0 to 1): 0.656388889 [/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: Lovely, lovely place. The setting was warm, our waiter seduced us with his accent and smoldering eyes, and our food left me and my two friends content with happiness (or was it our waiter?). It's a romantic place, but it's not just for couples. Friends and family were in sight as well. Get the favela, the passion fruit mousse, the ravioli, the fish...They don't fail on anything. Malagueta makes Brazilian food look and taste good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 guy, to keep it short, I have been here more than a few times only because I was craving Thai food,  service was terrible every single time and not just the waiters but also the rest of the staff. I feel like they are doing me a favor by serving me. They don't stay open very late and exaggerate waiting times to make it look more busy than they are. The bar is extremely small and unaccomodating. If you don't mind the extra wait and have a car you might want to try Sea in Williamsburg, or for that matter any other Thai place in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.072032967; Sentiment_Subjectivity (from 0 to 1): 0.466868132 [/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: addicted; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.4; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been to this place several times for brunch and twice for dinner, and it's been great every time. I love the ambiance, and the food is amazing. I'm the kind of person who always wants to share and get a taste what everyone else is having, and this is the perfect kind of place for that. I love the trio of croquettes, the chorizo tart. All the eggs benedict are amazing. Love the ambiance and super friendly service!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.515544872; Sentiment_Subjectivity (from 0 to 1): 0.647435897 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great place if you respect breakfast food for dinner. The pancakes, fried chicken, and bacon were all delicious. Don't forget to use the syrups that they provide because they're really unique and add a lot of flavor. I don't know what's in the spicy syrup that they serve with the fried chicken but I want to put it on everything. The only thing that was disappointing was the jalapeno corn bread, the idea sounds amazing but in practice the cornbread was dry and not worth eating. This place is definitely worth trying but not worth the 3 hour wait that it gets on the weekends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075694444; Sentiment_Subjectivity (from 0 to 1): 0.679166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 portions here are surprisingly very generous. I love their goat cheese and mushroom tamale. The build your own tacos (or "taco towers" as my friend calls them) are really filling and delicious. Their berry sangria (fresas) is AMAZING. It's also deceptively strong. After a few of those, you'll be pretty happy :); Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.443939394; Sentiment_Subjectivity (from 0 to 1): 0.712121212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Following an afternoon spent in Central Park reading Kafka by the Shore, I had a wicked craving for some good Tonkatsu. By "good" I *don't* mean breaded deep fried cardboard who's only flavor is of the month old oil used to fry it. I mean the kind of cutlet that's tender, juicy and flavorful on the inside and delicately breaded and crisply fried on the outside. Katsuhama is one of the few places this side of the Pacific that I've had the pleasure to indulge in such a perfect piece of deep fried pork. They may claim it's their special blend of oil they change daily, or their house made bread crumbs (all of which help), but really it comes down to the quality of the meat. You see, over the years pork has been bred to be leaner and leaner (read: healthier). Unfortunately, this has also left modern pigs dry, tough and rather tasteless. Gone are the days of a well marbled tenderloin... Or are they?... Katsuhama's source for pork must have had found some heirloom livestock poking around in the far reaches of its pens because this meat is phenomenal! Pay the extra few bucks to get the tenderloin and you'll be rewarded with each bite as the crisp breading crumbles away and the meat explodes in a burst of flavor and juice (no, not in a Pop Rocks kind-of-way). I've been here twice and both the Curry Katsu (Tonkatsu enrobed in Japanese curry sauce), and the Oroshi Katsu (Tonkatsu covered in grated daikon radish and served with a citrus/soy dipping sauce) were exquisite. And now, the catch... The interior looks a bit like a char grilled hotdog with Dijon mustard with its pale pink, black and curry yellow walls. Worse yet, the service was rushed, and while not horrible, it was robotic and made someone who could usually care less about service feel mildly uncomfortable. That said, if you're used to eating in Chinatown, this is really no different and the Tonkatsu more than makes up for its service related shortcomings. Being in East Midtown it's not the most convenient place for me to get to, but when I'm in the mood for great Tonkatsu, I find myself making the trek without a second thought.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.065739185; Sentiment_Subjectivity (from 0 to 1): 0.460431061 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice atmosphere and a good meal.. I had the bib lettuce salad and the NY Strip.  The Bib Salad was fresh and light and the crispy shallots gave it just enough crunch.  My steak was very good, a bit on the Medium side as opposed to Medium Rare, but it was a think steak so I can see how it could keep cooking a bit on the hot plate.  I would order rare next time.  The Au Poivre sauce was perfect. For sides the fried mashed potatoes were wonderful and the spinach gratin was good.  I would go back to try some of the other main courses and with a group to try to Axe handle Rib Eye.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.406354167; Sentiment_Subjectivity (from 0 to 1): 0.627395833 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 generally don't eat street food in NYC, but chicken and rice from 53rd and 6th is a must when you're in the area! They have opened up a few additional locations in the past couple years, but the line still gets long during dinner and late night hours. Definitely a late night snack/after clubbing type of food... I normally get the chicken and rice platter. It comes with pita bread and always ask for extra white sauce! If you're eating it there, they have bottles of the white/hot sauce on the side of their carts; however, would recommend asking them for extra white sauce if you're taking it home. The lamb is also okay, but too salty for my taste. BTW, make sure you go to the right cart(s)! They are other carts nearby that wear the yellow shirt/sweater, but make sure it says "Halal Guys" And, YES! The chicken and rice taste different! I think it's the rice and the white sauce that makes this place the best!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.000310559; Sentiment_Subjectivity (from 0 to 1): 0.445151829 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stepping inside of this bar was magical. It was warm, inviting, beautiful and super classy. I've never been in a place so beautifully designed. Gorgeous wall paper, delicate chandeliers, beautiful large photographs, lush booth seating and the kind of bar that makes being an alcoholic seem kind of romantic. Despite feeling incredibly under dressed the servers and staff received us with open arms. We ate the chili cheese fries, and the chicken nuggets. Fair warning the size of those chili cheese fries was no joke. You can feed a whole family of squirrels with all of those chili fries. I had a gimlet and my friend had something else that I'm sure was good because she drank it all. The whisky selection very good. We also had some bourbon. The server was kind, professional and very knowledgable about the drinks selection without being snobbish. NOTE: the beer selection is slacking, avoid taking your beer snob friends here-they will hate you. They were showing Bond movies on the projection screen and playing soul music. What's not to love!!?!??! It was a tad pricey but like I always tell my friends when they feel ripped off by Duane Reade--you're paying for the convenience. In this instance I paid for the convenience of eating chili cheese fries and drinking bourbon in an entirely way too beautiful bar.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.366920635; Sentiment_Subjectivity (from 0 to 1): 0.727970899 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay first thing's first. Morning , noon, or night...food is tasty and  portions are massive here. This a family friendly establishment with root beer floats etc.. The issue people have is the wait, but believe me..it's worth it and not much different than waiting for any other place on the UWS. Especially weekends. My favorite dinner choice? Their huge buttermilk fried chicken sandwhich with sausage gravy, nestled between two fluffy and enormous buttermilk biscuits. You can add cheddar to it but you don't need to. Why? Because it comes with a generous side of cheese grits! If you're craving dessert, the bread pudding is a must as it's made from buttermilk biscuits. If at all possible, try to leave some room as this is a three person dessert.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.11; Sentiment_Subjectivity (from 0 to 1): 0.659444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was great and service was phenomenal. The owner is a French native, but he didnt give off the posh posh vibe. Came and talked us through the flambee menu, as we were both newbies. The salad was not the highlight, but mind you this is not a salad place but flambee. We liked all the items we ordered on the menu (4 flambees for 2, definitely this was a cheat night on the diet). I would definitely go back, but the location is soooo far from me. The place is also very cozy. Good to catch up w friends or bring a date :); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.294; Sentiment_Subjectivity (from 0 to 1): 0.6125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overrated and overpriced. Our ribs were very dry and burnt. Meal for 2 with no beverage came to$50. Like some reviewers have mentioned, customer service was horrible: I never felt like our presence was even acknowledged.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.543333333; Sentiment_Subjectivity (from 0 to 1): 0.89 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 there because of the many good reviews here.... didn't seem like the same restaurant. .....Suspicious......... The food was overall just average. don't order the guacamole. Quite overpriced for the East Village. The dining room is tiny. The room is horribly noisy and the blasting music just makes it worse. plus, everytime the bartenders mix a drink, they shake the ice in the mixer so that it makes the most horrible racket that you jump out of your skin and we sat on the other side of the tiny room!!!!  They must think it's funny or charming... Great idea for chasing people away. The tables are almost on top of one another. The waitress was arrogant / indifferent and her English was so bad that it couldn't be understood. It was pointless asking a question because the answer would be unintelligible. It was comedy. Meh. I've experienced better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.077380952; Sentiment_Subjectivity (from 0 to 1): 0.567460317 [/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: just say delish; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a regular and love this place! A great addition to the neighborhood. Glad they're doing brewery tastings and like the new items on the menu. Always great beers on tap. My only issue is the grilled cheese tastes different - please change it back to the way it was. Would also love it if there was a late night menu or some bar snacks after the kitchen closes. Keep up the great work! An Update: I love everything about this place except for Sunday evenings when they have live music. I went in recently and had to leave because the music was so bad and really loud! The musician sounded like a wounded cat. I vote for no music or karaoke - if we going to have bad music then go all the way. Sadly I can no longer go to the DW on Sunday's and have had to take my business elsewhere. All I vote for having dessert and bar snacks please!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.147248804; Sentiment_Subjectivity (from 0 to 1): 0.61393694 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The line is long, but its definitely worth the wait. I would come back to NYC just to have this halal food again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.083333333; Sentiment_Subjectivity (from 0 to 1): 0.166666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Smith is definitely my go to restaurant...brunch when parents in town, a dinner date, lunch with your girlfriends, cocktails and apps/snacks before a movie...all great reasons to hit up The Smith. I live in the neighborhood, so I go to the Smith quite often and have never been disappointed.  The food is consistently good (and I've had brunch, lunch and dinner here) and the service is great.  My only complaints/warnings would be that it can get super loud.  If you want to have a quiet dinner, you may want to try something else.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211969697; Sentiment_Subjectivity (from 0 to 1): 0.665 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Arrived at about 9 PM on a Monday. Place was about 75% empty.  Three of us just wanted drinks and asked to have one of the MANY empty tables in the tap room.  There were not three seats available together at the bar. Hostess said no.  We pointed out that it was highly unlikely that they would get busy at that point. She didn't seem to care.  Not surprising that the place is empty.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.01875; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with my gf for dinner around 8pm on a thursday. It's about 1/2 hour wait they said but I'm sure we waited for at least 45 mins. It is super packed and crowded.  We had to share a table with a party of four that was finishing their meal. Ordered the scallion pancake, shanghai flat noodle, pork soup dumplings and crab soup dumplings. The food was ok but the soup dumplings were warm at best when it came out. I kept on getting hit by the waiters when they walk by because I sat on the edge and it was so packed. When the party of 4 left, the waiters were cleaning/wiping down the table shaking the whole table while we were eating. I thought that was pretty inconsiderate. Then they seated 2 more parties of 2. Yes, that's 3 different parties of 2 in one table. Awkward. In conclusion, nothing spectacular and there are other shanghai places in CT that ain't as crowded.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204861111; Sentiment_Subjectivity (from 0 to 1): 0.534027778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My first time at Tony's was a few years ago at their now closed uptown spot. I was not at all happy with the food and touted Carmine's as the best! Well, our meal this past Saturday surpassed that of Carmine's! From the sangria, to the rigatone vodka, to the chicken franchaise, to dessert, the food was fantastic! Our waiter, Gregorio, was extremely helpful and nice. I preordered dessert ( with birthday candles and all), and the staff handled the request effortlessly. Can't wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164772727; Sentiment_Subjectivity (from 0 to 1): 0.539393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in for breakfast on Wednesday at 8:25am so it was not crowded. Tables very close together as noted by other yelpers. Food was just ok (nothing special). I had eggs Benedict,eggs cooked great,very small portion of hollandaise and French frys? ( I like hash browns!!); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.113690476; Sentiment_Subjectivity (from 0 to 1): 0.357738095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 usually don't venture into Lebanonese/Mediterranean food but it was a delightful experience for the 1st time.  I came here yesterday night around 10:00pm and it was packed.  Nice decor and very friendly service so it made the 1st time experience pleasurable.  Now, for the food.  We all shared the below: Duck Shawarma- picture duck confit, fig puree, garlic crema wrapped in a warm pita Warm egglant- served w. tomatoes, scallions, and tamarind molasses Brussel Sprouts-grapes, fig puree, walnuts, and mint yogurt Arnabeet Mekle- cauliflower, red finger chili, mint, labne tahini Steel Head Trout- carom vinaigrette, radish, micro greens and olives Lamb Chops- seared w. zaatar salsa verde, herb roasted tomatoes Least fave was the eggplant.  It was too thin, so overcooked easily and combination w. the tamarind molasses didn't work.  Sweet and sour eggplant does not sound appealing to me. Duck Shawarma was very good but the meat was a bit overcooked but duck is very hard to perfect. The arnabeet mekle was very different as I never had roasted cauliflower w. a tahini sauce.  It was good only because Im not a big fan of cauliflower. The steel head trout was nothing special.... Lamb Chops were cooked perfectly and seasoned great .  The slices of roasted tomatoes on the bottom was refreshing.  But, I wish there was a hint of mint somewhere. Fave of the night was the brussel sprouts even though some were a bit burnt.  The combination of flavors was nice. Enjoyable place, wouldn't mind coming back and trying other stuff.  Need to gain more experience on the Mediterranean side.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.318832565; Sentiment_Subjectivity (from 0 to 1): 0.607868664 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thank you, thank you, thank you, Yelp, for introducing me to Wafa's. I would never have found this jewel without you. Even with all the reviews, I was a bit surprised to find out that Wafa's is literally a one-woman show. There's a kitchen, a display case of food separating the kitchen from the dining area, and then maybe 2 tables and a 3-person bar. This place is TINY, but I would never call it a hole-in-a-wall, because it is just too clean and airy and homey to feel like one. As other Yelpers have said, eating here is really like visiting your mother's kitchen. And Wafa treats you like she's your mom. Now, we did have to wait about 30 minutes for our shawermas, but that's because we came in right after 2 groups placed their orders, and also because Wafa literally started cooking our meat and chopping the tomatoes for our sandwiches at the moment she began prepping our meal. How much fresher can you get? The chicken was savory and well-seasoned, and the lamb was spicy. We got tons of veggies in our thin but not-too-thin pita wraps, and the sandwiches were HUGE. The baklava is out of this world, just very light and flaky and not too sweet. Perfect, perfect dessert. While we ate, more groups of people came by and ordered, standing around patiently waiting for Wafa to cook everything. It is that good. I can't wait to come back and try the platters and the falafel and everything else on the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.264551821; Sentiment_Subjectivity (from 0 to 1): 0.633571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one if the best places I've ever eaten. It's probably the only place where I gladly wait the sometimes hour (or two) for a table. But in the end, you know your wait will be very nicely rewarded with a yummy meal and a happy full tummy. Can't wait to go back!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.49; Sentiment_Subjectivity (from 0 to 1): 0.692857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE. This place lived up to the hype. I came out $50 poorer but it was worth it. I'll preface by saying that it usually would not cost that much per person. But friend and I wanted the full experience so we each had a cocktail, an entree, AND shared a whole plate of vanilla bean French toast. No regrets. I had the eggs benedict with grits cake (was this Benedict Jane? I forget) and friend had the Benedict Johnny. We loved them! Everything was perfectly cooked and seasoned. It's such a delight to have perfectly poached eggs. French toast. At $15 a plate we hesitated at adding this onto our meals but were so glad that we did. They were heavenly - and I don't even like sweets and NEVER order French toasts. Huge portions too. Another note - this place is usually packed and people book in advance. Try making reservations so you don't end up waiting!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.28125; Sentiment_Subjectivity (from 0 to 1): 0.444444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wait took over an hour - which doesn't typically bother me. Host said he'd call my cell to let me know when table would be opening up -- didnt call me. No biggie though. Food was very mediocre. Gf & I didn't get complicated dishes -- the burger & Cuban sandwich with fries. Burger looked & tasted as if it was from a deli/bodega, heated from frozen -- not worth the 15 bucks, or even half that. Fries were not bad, but cold. Cuban was ok. Theme seemed to be overpriced food. Food around us looked pretty decent, but small portion sizes for near / over $20 entrees.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.093055556; 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: The food was delicious, the ambiance was comfortable and cozy!!   We started off with their calamari with malagueta sauce, this has got to be the best calamari I've ever had.  It was perfectly cooked, tender and crispy on the outside.  I especially recommend any of their seafood dishes for entrees, Bobo De Camarão (shrimp stew with yuca, served with rice) was heavenly gooood and my friend tried Corvina (see her review below) lol. We finished a pitcher of red Sangria!!  So imagine how good it was  =)  Would love to come back here again!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.429807692; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best happy hour places to go for great drinks and food!! My family and friends love this place! Watch out it can get hella packed :j; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.85625; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything is phenomenal here-- the service, the food, the ambience.  Before you can even think of asking for something, the waiter is at your table.  The food is divine!. The presentation is beautiful.  This is the best of the best. I decided to go out on a limb and order the chicken ;-)  Well this chicken is the elitist of all chickens.  Roasted and seasoned to perfection, succulent on the inside and yet the skin was ever so crispy.  My husband had the spice crusted rack of lamb and he couldn't stop raving about it.  Worth every penny and I can't wait to return!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Believe the hype! The food in this spot is off the hook.  The space is indeed small - to put it nicely - cozy, intimate? Whatever the NYC version of small is - this place is small.  But the hot chicken is flavorful - I got hot which was very spicy.   The appetizer and sides were delightful.  The staff was friendly and efficient.  We'll definitely be back although we'll need to figure out the right day/time to go to avoid the wait.  With no indoor waiting area - it's hard to wait outside in the cold.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.007440476; Sentiment_Subjectivity (from 0 to 1): 0.57046131 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: after hearing all the reviews, i was thoroughly disappointed. pasta is overpriced (i hear there's an industry night with cheaper pastas - definitely go then, which is on monday), and the portions are way too small. TIPS - very overpriced for pasta that, indeed is good, but is not worth the money - focaccia is unbelievably salty, so watch out - be prepared for portion sizes that are basically the size of appetizers - service was atrocious: called in to try to make a reservation, they said no, then i walked in 10 minutes later and was able to be seated - so incongruous - waiters were extraordinarily slow; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.090909091; Sentiment_Subjectivity (from 0 to 1): 0.515909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pros : great environment, bacon sampler was great, service was pleasing. Cons : bourbon drink was 13$ which was a small glass filled with ice, would not order it again. Beer sampler was warm, fries I ordered were not hand cut, super soggy.  Burger  was average, bread was cold and not even toasted. This place gets a firm C, has potential.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.173333333; 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: Came here with 5 people on a Saturday night, and while it was crowded, it didn't take long to get a table.  I wasn't crazy about the company, so I was eager to drink.  The Lychee martini was excellent.  I had a few and suddenly the company didn't seem so bad (and one of the couples left, but whatever).  It was noisy which, for my purposes, was a plus.  Not all that memorable, but not bad.  Also, I am pretty sure it wasn't all that expensive which is nice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.088461538; Sentiment_Subjectivity (from 0 to 1): 0.678632479 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well, let's just say it's not really worth waiting 30 min to get into. Food was good and relatively inexpensive. Xiao long bao were really soupy so that was satisfying. Not a bad experience by any means, just don't get why Joe's get so much hype when a bunch of other places in Chinatown are pretty much the same deal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172916667; Sentiment_Subjectivity (from 0 to 1): 0.405555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went to Kefi in March 2009 after reading the New York Times review, which turned out to be pretty spot-on. We arrived for our reservation an hour early and they were able to accommodate us. The restaurant was very large and the decor was pleasant. Service was fair, but the waiters seemed a bit cocky. The bread given on the table was good; as was the olive oil. Our food came out a bit too fast and seemed rushed. For an appetizer we had the meatballs and the warm feta with pita. The warm feta was too salty and had the same vegetable mix on top that they seem to use in every dish. As for the meatballs they also covered in the same sauce that seems to be used in the pasta dishes. For an entree we both had the flat pasta with braised rabbit. The rabbit was good but had some bones left in it. About 30% of the dish consisted of cioppolini onions, which were overbearing. The prices were fair, but we would most likely not go out of our way to come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316966745; Sentiment_Subjectivity (from 0 to 1): 0.544470681 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to cookshop for both brunch and dinner. It has a dope variety of bloody mary's and the french toast is to die for. The sea scallops are a must for seafood lovers. This is a great place to go with a big group that takes reservations.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.4375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: the food is is great. they seem clean and are always very nice. sometimes the service can be a little slow but otherwise there great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.376527778; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/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: Great spot for drinks! Classy atmosphere with a warm, cozy feel to it. The cocktails are delicious and the staff is accomodating. Can get a little crowded on weekends so plan accordingly. Oh yeah, and they have Pappy Van Winkle bourbon there. Automatic thumbs up in my book.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.385416667; 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: This is my go-to resto in NYC. Whether you want to have a relaxing weekday dinner or want to treat out-of-town guest, this is a must. I've been lucky that this gem always has a table available when I arrive. One Friday evening, we came in around 8:30pm with a group of 8 and they were able to accomodate us immediately. Though that won't always be the case. This is a place for NYC locals (hence my hesitation with writing this review, but they deserve it). I am obsessed with their mussels and they always hit the spot. I always want to try something new, but can never turn down a great bowl of mussels, in which they offer a variety of sauces. I've yet to come here with a friend that was dissatisfied with their meal. Their Senegalese/French menu has something for all palettes (and I've been here with extreme foodies and picky eaters). Wonderful for seafood lovers, because their menu is seafood heavy, but they offer many other things. Their 2-for-1 Martinis are also divine! What a deal. Lastly, I want to highlight their exceptional staff. They have some of the friendliest people in NYC working here. They are prompt, kind and personable. The last time I was here we chatted about LAAMB wrestling with one of the staff (not sure who he was exactly) and he even shared some youtube videos via iPad. I felt as if we were being entertained and dined at someone's personal home. There are many other highlights and perks about this place, but I leave that for you to check it out. Can't share all their secrets.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19878848; Sentiment_Subjectivity (from 0 to 1): 0.5749519 [/INST] Not Spam</s>