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syannn

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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: We had: 1. Housemade veggie burger - This was okay, a little mushy, but the fries were great! 2. Pulled pork - OMG! This was delicious! 3. Pear ginger juice - This is a must try! Brunch for $14 is a pretty good deal. We were lucky to get a seat immediately upon arrival because this place was packed.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.513690476; Sentiment_Subjectivity (from 0 to 1): 0.74047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 picked this restaurant to celebrate my best friend's birthday thinking that with 4 stars and over a thousand reviews it must be good. I went ahead and made reservations a week in advance because like everyone said this place gets fill up fast even on weekdays. I was all excited to try this place but already when I sat down I was not comfortable because the tables were so close to each other. There was barely any space to get in or out. I had the duck confit that everyone is raving about and honestly I thought it lacked flavor. My best friend had the steak frites and the fries were like soggy. I was expecting the food to be so delicious that it would make up for the tight space but nope it didn't. I'm quite disappointed.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.27045177; Sentiment_Subjectivity (from 0 to 1): 0.542277167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is CASH ONLY. They even have their own ATM machine inside the restaurant for your convenience. Our party of four arrived at 5 PM and we were the first in line. The restaurant opens at 5:30 PM and as the time gets closer to opening there was already a long line forming. We were seated promptly and soon after the entire restaurant were full. The restaurant is not huge but it has adequate seating and spaced out. We didn't feel like we were squished. After we placed our order we didn't have to wait long for our food to arrive. I had the pork bone ramen with roasted pork. It comes with boiled egg, scallions, and wood ear. The broth was really really good, but just a little salty. After I finished the broth, I was thirsty. The roasted pork was delicious and well flavored and they give you two thick pieces. The noodles had the perfect texture and the portions were just right. All the ramen were $13, which is comparable to prices in the city for ramen. Overall, this is a great spot for ramen in Brooklyn.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.266561625; Sentiment_Subjectivity (from 0 to 1): 0.611904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a place that everyone loves but me. I'm giving this place 3 stars because it was very average in my opinion. I came in for a late brunch around 3 PM and was seated right away. I decided on the Belgium waffle because of the pretty picture and cappuccino. The waffle was good with fresh strawberries, blueberries, sliced bananas, topped with whipped cream, and drizzled in orange honey blossom syrup BUT I had better. Maybe the pancakes, French toast, and others are better. I didn't notice the $4 brunch deal, which is seriously a steal. I'll have to try that another time.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.227943723; Sentiment_Subjectivity (from 0 to 1): 0.561125541 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here on a Saturday for brunch at around 11 AM and this place was packed. Luckily there was an open spot for two and we were seated right away. It wasn't the most comfortable table, since it was near the door and it was cold that day. But it wasn't too bad. We ordered the scrambled eggs with smoked salmon and scallions. It came with some fries and greens. It was standard. We also had the pancakes and that really impressed me. It's probably the best pancakes I've had. It was very fluffy and soft. Even with the whole restaurant full, the food came out quite fast.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.181815476; Sentiment_Subjectivity (from 0 to 1): 0.559732143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I adore this Italian café. It's one of my favorite spots and has the best atmosphere and décor, very intimate and cozy. If you're coming with a group make reservations and request for seating in the winter garden! Perfect for dates and small groups. Fantastic drinks, delicious individual size pizzas, wine & cheese, and a whole lot of desserts. This place gets very busy. Most dishes are over $10 but under $20. The passion fruit and apple martini were excellent. The vodka was strong. The Pizza had the perfect crust. The Lasagna was full of layers and flavors. The salads & sandwiches were done right.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.41994709; Sentiment_Subjectivity (from 0 to 1): 0.646613757 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend recommended this place and we were in the mood for Latin food, since we don't eat much of that because we are Chinese. For drinks, I had the red sangria and my friend had the mojito. For starters we had the lobster quesadilla and grilled skirt steak taco. For entrée, we shared the paella, which is saffron rice baked with clams, mussels, shrimp, calamari, chorizo sausage and chicken. For dessert, we had the warm chocolate cake. I think this is a really nice place to go to after work to unwind and have a drink and eat, since it's tapa style, meaning small dishes to share. Plus the restaurant is nice and dark with good music. Everything we ordered was very tasty. This is a restaurant I would come back again, since Latin food is not that common I think.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.123076923; Sentiment_Subjectivity (from 0 to 1): 0.457692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently came here on a Friday night around 6 PM and there was no line. We were seated immediately. The place was full after we sat down and I was happy I didn't need to wait. The restaurant is really small and it looks like it can seat no more than 20 people. We sat at the bar table facing the kitchen, since the regular tables were all taken. We ordered the shrimp gyoza ($6) for 5 pieces and each piece had one whole shrimp in it and it was delicious. It was crispy on the bottom just how I like it. For ramen I had the spicy miso ramen with the wavy noodles ($13). I like the noodles, but I didn't like the broth that much. It was just a little spicy, which is fine. But it was missing that flavor. The ramen came with 2 char pork, it wasn't all that great either. Again, I thought the pork could use some more flavor. I liked the gyoza more than the ramen. This place is CASH ONLY!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.240200617; Sentiment_Subjectivity (from 0 to 1): 0.514767331 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Song ranks top 2 for the best Thai restaurant in Brooklyn for me. It's such a relaxing place to have dinner with a friend. The ambience is just lovely. We were seated outside the patio. They had so many cute pillows on the seats very comfy. They blasted the music pretty loud during the night, felt like a party going on. It was really busy on a Saturday night. Bar area, restaurant, and patio was packed, but we got seated rather quickly. Food came out in a good pace. Our server looks like he had a long day but he was nice and met our needs. NOTE: CASH ONLY! The -prices are reasonable and portions are huge. We had: 1. Salmon Wontons - Had a nice crisp to it, nice salmon filling, and perfect with the sweet dipping sauce. 2. BBQ Shrimp Kabob - This is so much fun to eat and look at, had a peeled shrimp, cherry tomato, broccoli, and pineapple. 3. Skirt Steak - This was sooo good!! Very tender, came with Asian veggies and potatoes, very generous portions. 4. Chicken Pad Thai - Very good! 5. Mango Mojito - Refreshing, highly recommended! 6. Mussels - Simply delicious!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.348039216; Sentiment_Subjectivity (from 0 to 1): 0.636372549 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for dinner but brunch was another story. There was no wait on a weekend and good brunch spots normally there's a wait. I had the pancakes and they were a little dry and flat. I like my pancakes moist and fluffy. They could also give some more fruits with the pancakes.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.171354167; Sentiment_Subjectivity (from 0 to 1): 0.496875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Blue Ribbon was one of our destinations during Dine in Brooklyn. We went for their 3 courses for $25 deal. Surprisingly everything on their Dine in Brooklyn menu are on their regular menu and the portions were generous and they weren't cutting corners, which is a plus. During dinner time the restaurant is very dim. It looks like Blue Ribbon Brasserie has combined with Blue Ribbon Sushi. We had: Starters 1. Shrimp cocktail - Large pieces of cleaned and shell off shrimp, always a great appetizer. 2. Wakame salad - It's seaweed salad, another great choice for appetizers. 3. Cream of tomato soup - Very strong taste of the tomato and creamy. Entrée 4. Sushi & sashimi - Pretty fresh sushi & sashimi, but it wouldn't be my to go spot. 5. Sweet & spicy catfish with mashed potatoes, collard greens & tartar sauce - I love the taste of this dish. 6. Salmon with asparagus, crispy potato & mustard sauce - A big piece of well-grilled salmon. 7. Grilled half chicken with mashed potatoes & spinach - This dish was bland. Dessert 8. Chocolate bread pudding - It's basically bread, ice cream, and fudge, which was ok. 9. Lemon sorbet & strawberry ice cream, very standard dessert options could've been better. From their regular menu: 10. Firefly squid, pricey and was disappointed by the small portions. 11. Blue ribbon roll that consist of 1/2 lobster, shiso & black caviar - I thought was just okay and it was also pricey. After trying out a variety of dishes I wasn't impressed. At least we got a good deal because a normal entrée already cost over $20.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.154925595; Sentiment_Subjectivity (from 0 to 1): 0.500596383 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 experience at Dinosaur BBQ was at their Newark location in Jersey. I went with a big group and what I like about their menu is that it has family style package deals. It's really a great value for groups with a lot of food and variety. Plus the food is good and we paid around $20 each with drinks, tax, and tips included. When I heard that they were opening a branch in Park Slope, Brooklyn I was excited. It's very similar to their Newark location with wooden tones. This time I only went with one other person and we had the sweetheart deal for two, which was about $30 for a full rack of bbq pork ribs (12 ribs) plus choose four sides out of their many sides options. For sides we picked fresh cut fries, mac & cheese, bbq fried rice, and mash potatoes. The flavor of the ribs was great but it was a little dry. I loved all the sides, they were all delicious.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.317401961; Sentiment_Subjectivity (from 0 to 1): 0.566372549 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely order the Shanghai dumplings, the scallion pancakes, and the Shanghai flat noodles here. I like my dumplings with a thin skin, full of soup, and that's exactly how Joe's Shanghai makes them. TIP: How to eat the dumplings the right way? Place a dumpling on your spoon and gently poke it with your chopstick. Allow the soup to flow out and cool down then sip away. This way it's not messy and you won't burn yourself. I usually arrive at Joe's Shanghai around 6 PM and there's no line. But when 7 o'clock hits a girl with a clipboard and a roll of ticket will appear. I would definitely try to beat the rush. They add the tips automatically, so be careful not to double tip!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.043225624; Sentiment_Subjectivity (from 0 to 1): 0.478543084 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been going to Vanessa's since forever. I haven't been there for a while and during my last visit I wasn't sure if I was at the right place. It doubled or tripled its size, with more staff, more seating, and a lot nicer. You can see someone making dumplings through this glass window in the back. The kitchen is open and you see a frenzy getting the orders ready. The taste and quality remains the same, but sadly the prices increased and the portions decreased.   1. Pork & chives dumplings - It's just perfect. The skin has just the right amount of crispiness on the bottom. 2. Beef scallion pancake - Lots of sesame on the outside, crispy, and soft on the inside. They seasoned their carrots and add some sort of sauce in the pancake, which makes it extra tasty! I like mine with a bit of hot sauce. 3. Hot and sour soup - Is thick and full of tofu and mushrooms. 4. Boiled shrimp dumplings - These are yummy and a great alternative for those who don't eat pork. For all of the above was under $10! The dumplings and sesame pancakes sell like hotcakes and they make new batches frequently. That's why it's so fresh and tasty. Do expect a wait and a long line during prime hours. Make sure you give yourself extra time for delicious food. There's a cashier lady you order with and then wait for them to yell out your receipt number. You'll need a lot of patience but the order moves quickly.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.195035173; Sentiment_Subjectivity (from 0 to 1): 0.481888077 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cool summer afternoon, I was jogging along Hudson River Park. The sun was starting to set and we were hungry. We decided to eat nearby and found Pinto. They were offering the sunset menu for $15 bucks. We arrived just before 6 PM on a Saturday and there were only a few customers. This place is really small and cozy. The décor is very simple, elegant, and modern. What I've noticed is that their style is very upscale. As I sat down there was a wine glass and a black napkin with a fork inserted inside and wrapped with a ribbon that has a Pinto logo printed on it. I thought that was a pretty fancy detail. To my surprise there was no chopsticks. And the staff wore this very stylish and handsome looking uniform plus the service was outstanding and professional. Moving on to the food, we had the sunset menu that comes with an appetizer, entrée, and a drink. We decided on the Crispy Roll and Satay for appetizer, Shrimp Pad Thai and Thai Pepper Beef for our entrée, and 2 glass of the house red wine. And wow, the food was so delicious, portions were just right, and the presentation was lovely.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.189249639; Sentiment_Subjectivity (from 0 to 1): 0.593055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard a lot about this place and decided to make a trip here one Wednesday evening. We arrived a little before 7 PM and surprisingly there was no wait at all. We ordered the regular pie and it took about 20 minutes to be ready. It's a medium size pizza that 2-3 people can finish and the most expensive pizza at $28 a pie that I've had without any toppings. The pizza is finished with olive oil and fresh basil. It's definitely one of the best slices I've had but I don't think I would make the trip out again. A lot pizza joints in NYC make comparable quality pizza for half the price. The place is very old and has a few tables to eat in. It's best to eat it right away.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.218681973; Sentiment_Subjectivity (from 0 to 1): 0.388521716 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here around 6-7pm on a weekday, no line! Yay! Do come early! We ordered the grilled corn a must! Very delicious!! Grilled just right, just the right amount of cheese, chili powder, and mayo. Comes with a lime wedge but I didn't use that. Also had the Enchiladas Suizas, the creamy sauce was sour and it wasn't my cup of tea, rice and beans was very delicious. It got pretty crowded after half an hour when we were there, the waitresses were busting their ass and you'll have to wait a bit if you need an extra plate or something. But it's understandable, only 2 person covering the floor with so many customers in this tiny restaurant. I'll definitely try the sandwiches next time.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.225786565; Sentiment_Subjectivity (from 0 to 1): 0.517006803 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: CASH ONLY! I came here for dinner and had their beef & chicken empanadas, grass fed skirt steak that came with potatoes and greens which is a plus, and the home made pasta of the day. The ambience of this place certainly deserves 4.5 stars but the food was average. The empanadas I had better, the steak interestingly flavored was ok, and the pasta was nothing special.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.165178571; Sentiment_Subjectivity (from 0 to 1): 0.624107143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It was a very special friend's graduation and I wanted to pick the perfect place for the celebration and thought that Traif would be the perfect place. I had high expectations for this place since it had 4.5 stars on yelp and it turns out to be only 3 stars for me, very disappointing. A few things I did not like, our group of 7 one of our friend had a drink from Starbucks and they wouldn't allow outside drinks. Fine that's understandable and then there was a "mandatory" chef menu for $40 per person for parties of 8 or more, which I don't understand. Our group turns out to be a party of 8 but the last person was running late. We did not want to be restricted to the chef menu and decided that we'll meet our late guest elsewhere. So there was the 7 of us and we ordered many items off the menu which include: 1. Spicy, bigeye tuna, tempura japanese eggplant, kecap manis 2. Glazed-confit chicken wings, hoisin, five spice, sriracha 3. Crispy soft shell crabs, crushed avocado, pineapple sambal, red papaya 4. Bellflower pasta, italian sausage, roasted piquillo peppers, torn basil 5. Dayboat scallops, snap & english pea risotto, lemon-caper brown butter 6. BBQ, braised short rib sliders, sweet potato fries, smoked paprika aioli 7. Strawberry-cinnamon glazed baby back pork ribs 8. Seared foie, fingerlings, ham chips, sunny egg, maple, hot sauce The food was only good, not over the top good. The portions were small, which is the reason why we ordered double of each order this way everyone could sample the food. But even with the double order we still had room for more food and we left hungry and they slapped a 20% gratuity on our bill, which was another "mandatory" rule that I did not like. All and all I was not impressed with this place. Oh, I just remember another thing I did not like it was the music it was just too damn loud that we couldn't hold a conversation and had to raise our voices.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.116970899; Sentiment_Subjectivity (from 0 to 1): 0.464153439 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh no! Looks like Vanessa's is in for a little competition, they are both on Eldridge St. coincidence? I think this place is about 5 years old, while Vanessa's been in the area for a lot longer. This place is the same size as the old Vanessa dumpling house. It's pretty tiny, so please do everyone a favor, order quick, have your money ready (small bills and cash) and get out please. This place in every way is comparable to Vanessa's and it's just up to your personal preference. For $1 dollar, you get 5 big juicy dumplings, probably the biggest and juicest you'll find in NYC. The scallion pancake is a lot thicker, lots of sesame, and just the right crispiness. The hot and sour soup is full of tofu and mushrooms. Their soymilk is very good too, I would suggest to add one spoonful of sugar. Just a little bit sweet is enough.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.123897243; Sentiment_Subjectivity (from 0 to 1): 0.462669173 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a nice and cozy restaurant. To start we got a plate of pita bread and 5 different spread. All of the spreads were yummy. We ordered mussels, grilled squid, red snapper, and kyclades special. The food was amazingly delicious. It's well seasoned to give it that special flavor. At the end of the meal they give you a complimentary dessert. And the price is very reasonable. This place has become one of my favorite Greek & seafood restaurant.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.285357143; Sentiment_Subjectivity (from 0 to 1): 0.585238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They have two separate lines to order food, one line for just corn and drinks and the other for the rest of the menu. Then you get a ticket and go get your food outside where there is a food truck. I went recently and sat outdoor when the weather was in the low 80's, so it was really nice to eat out doors. I had the Mexican corn, lemonade, and chicken burrito. I love corn and the Mexican corn taste even better than the ordinary corn. The lemonade was cool and refreshing. The chicken burrito was full of quality ingredients. But I have to say I prefer chipotle.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.081666667; Sentiment_Subjectivity (from 0 to 1): 0.511666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a small hand pulled noodle shop. Their noodles are on the thinner side, springy, and chewy. The broth is very good. I usually get the beef, house special, or the vegetable with egg depending on my mood. So there are vegetarian options.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.191785714; Sentiment_Subjectivity (from 0 to 1): 0.500357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 question is, is the Sicilian slice that good that I would come all the way to a neighborhood I rarely or if ever go to? No they are not worth the trip or going out the way, I mean its just pizza. However, if you happen to be in the neighbor it's definitely worth checking out. I prefer the regular slice, but their Sicilian slice is the best I've had. The crust is thick, soft, and chewy with the right amount of cheese and tomato sauce. This is a great spot for the summer because there is tons of outdooring seating.  And the spumoni* here is a must try. Perfect treat after your meal and there are so many flavors! ___________ * Italian ice cream made with layers of different colors and flavors; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.289880952; Sentiment_Subjectivity (from 0 to 1): 0.465009158 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here on a rainy Saturday night and the place was pretty full. Joya reminded me of the Thai restaurant Song that's not too far away. I think they are related and they are both popular places to dine at. The entrance, interior, and menu all look the same. But I had a better experience at Song and a terrible experience at Joya. I had the mango salad and shrimp pad thai. The mango salad had a lot of mangos, but it was just okay, nothing special. Now the pad thai is the worst I ever had. It was so salty and flavorless, just plain salty. How can a Thai restaurant mess up pad thai. And the shrimp had a fishy taste. The dish was just bad. The only thing I like was the Thai ice tea.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.028809524; Sentiment_Subjectivity (from 0 to 1): 0.64968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here on a Saturday night around 6 PM and there was a 20 minute wait. They only take reservations for parties over 6. I had the canjun fries and snow crab legs in the boil special sauce mild, which was not that spicy. The fries were really good and so were the snow crab legs in their sauce. Service was spot on, they help put bibs on you and cleared the bucket with shells when it got full. Even though it was packed that night the food came out quickly.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.345634921; Sentiment_Subjectivity (from 0 to 1): 0.620238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: CASH ONLY! Sripraphai was recommended by a friend of mine who's from Thailand. If she says it's good and I say it's good then it must be really good! Most Thai restaurants I've been to have the nicest atmosphere and décor but Spripraphai is very spartan looking and probably the hardest one to pronounce for me and I'm probably not pronouncing it correctly anyway. Surprisingly they do have a gorgeous garden in the back with a water fountain so if possible definitely request outdoor seating. The garden is a pretty nice casual date spot. It's a perfect place for groups and families also. The food tasted very authentic and seriously good. You'll find a lot of unique dishes here and they have a lot of little snacks & sweets you can get to go and best of all it's all homemade and not pricey.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.413125; Sentiment_Subjectivity (from 0 to 1): 0.687083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the house special #2 hand cut noodles ($7.00) that comes with chicken, shrimp, beef, and a fried egg. There's cilantro and chili oil on the table, which I added to the noodles that gave it more flavor. I thought the noodles and broth was okay. They charge tax here.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.189285714; Sentiment_Subjectivity (from 0 to 1): 0.630357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best empanadas and ice pops I ever had in NYC and the prices are cheap.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely the best tacos I had in NYC for only $1.50 each. On every visit they are always busy taking orders, even late at night you see people surrounding this truck, which is hard to miss driving by. They might always be busy but they get your order done fast.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.101041667; Sentiment_Subjectivity (from 0 to 1): 0.517708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for dinner and I really like the atmosphere of this place. It's dark and they played good music. It's a great place for a date night. We had the paella and this fish dish. The paella was flavorful and had a good amount of seafood. The fish had the right batter and cooked thoroughly making it tender on the inside and the sauce was also flavorful.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.422619048; Sentiment_Subjectivity (from 0 to 1): 0.514285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is pretty popular and small with a bit of a wait. I waited about 30 minutes on a weekday at 6 PM. I had the crab cakes, scallop with risotto, daily fish special, and whiskey cake. Everything was so delicious. You get 2 pieces of crab cake. The scallop with risotto had 4 decent size scallops. The fish was a decent size piece. Portions are just right and not too small. This is a seafood place and very affordable. Although the menu is quite limited but the food is good. They give you free whiskey cake at the end with a hint of whiskey flavor.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.253911565; Sentiment_Subjectivity (from 0 to 1): 0.570238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heard great things about this place from friends and there are great reviews on yelp. However, personally, I thought this place was just okay during my visit. I came one weekend and had to wait about 15 minutes for a three-person table, which wasn't bad. We all had the farm burger with a fried egg. The burger didn't blow me away. It tasted like any other burger. It wasn't amazing or bad. It was doubled the shake shack price and I rather have a shake shack burger.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.146875; Sentiment_Subjectivity (from 0 to 1): 0.613541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 looking for an Italian restaurant for dinner and Emporio showed up on my phone. The place is very intimate and cozy. We had: 1. Tagliatelle "al limone" - This was the best dish. 2. Shrimp taglierini - Pasta was good but I don't know what they added, it was too gritty. 3. Mushroom & gorgonzola risotto - Doesn't look good but taste very good.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.42125; Sentiment_Subjectivity (from 0 to 1): 0.57 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Walked straight here after 5 PM and there was no wait. Sweet! It's in the basement so the signal is poor. It's very basic Japanese décor, cozy, ok noise level maybe on the louder side, and you're pretty close to others. I was blown away by the substantial variety of food & drinks on their menu. The sake list is great and it gets better, they bring those huge sake bottles to our table and pour it in front of us. Now that's a lot of heavy lifting. Many items are under $10, small plates are shareable and drinks are in big glasses. This is definitely one of the better inzakya with really good food and unique drinks. Now from a scale of I want more to I can live without. I want more: 1. Peach beer cocktail - They just made beer taste that much better. 2. Beef tongue - I know sounds gross but I had no idea I was eating a cows tongue. 3. Pork intestines - I can't believe I was eating this stuff but you know what it's good! 4. Taiyaki ice cream - No matter where I go, as long I see the fish dessert I'm getting it. 5. Squid legs -Yum! Chewy legs. 6. Grilled pork - So good! 7. Grilled yellowtail collar - This is probably my favorite. 8. Ribs - Can't go wrong with ribs! 9. Clams - On skewers and well grilled. I can live without: 10. Ramen - So so, it's not a ramen spot after all. 11. Tempura pizza - Not bad but very creative. 12. Tempura eel - Same as above. 13. Octopus balls - Fun to eat. 14. Potato - We just wanted potato.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.249935065; Sentiment_Subjectivity (from 0 to 1): 0.525833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a Friday night and this place was packed, but not as crazy packed as Joe's Shanghai (which is overhyped). I love their crabmeat & pork Shanghai dumplings! The skin is thin with just the right amount of filling and full of soup. We also had their mayonnaise shrimp, which isn't the best. It's more on the sour side (I like it sweet). And last we had an order of seafood rice cake that I recommend.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.196071429; Sentiment_Subjectivity (from 0 to 1): 0.505238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Saw this place on Diners, Drive-Ins, and Dives and had to try it. I came here on a Saturday night at 7 PM and there was a long wait out the door. Waited for about 1 hour and was finally seated. I had the fried chicken box, which includes 3 pieces chicken with one side and biscuit for $13. I had the mac n cheese as a side it was tasty so was the chicken, but still it was just fried chicken. It's good chicken, but I don't think it lives up to the hype and wait. I also had the banana cream pie for $4.50, which was delicious and I liked the pie more than the chicken.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.070833333; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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: 1. ($10.00) Zutto Pork Belly - Caramelized pork, Peanut ,Sweet & Spicy, Cilantro. OMG! So good! This is a must get! 2. ($12.00) Mussels - Steamed Mussles, Chirizo and Kimchi. Great flavors they put into the mussels. 3. ($24.00) Daily Selection Of Sushi - 7 pieces of sushi with a roll. A little pricey for the amount, but it was fresh. 4. ($42.00) Sushi And Sashimi Combination - 9 pieces of sashimi, 6 pieces of sushi and a roll. If I didn't order any appetizers, I could finish all of this myself. Wish the portions were more. Overall, awesome appetizers. More of a ramen spot I would say that serves sushi. Wasn't craving for ramen so had the sushi instead. Surprisingly, it's really fresh. Would come back to try their ramen.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.458333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the Shanghai soup dumpling ($5.25), devilish ramen ($9.25), and steam rice roll ($3.95). The Shanghai soup dumpling had 6 pieces. It's not the best I've had. I didn't really like the skin. The texture was weird. The filling was not that flavorful. There's nothing I like about the soup dumplings. The devilish ramen was another disappointment. You can get different levels of spiciness and I got the medium spicy. When I tasted it, it was the right amount of spiciness. But I didn't find the ramen tasty at all. It was just okay. It looks like they use frozen seafood in the ramen, which is not that attractive. The steam rice roll was my favorite. Then again, you can't really screw up rice roll.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.238571429; Sentiment_Subjectivity (from 0 to 1): 0.573571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for the Dine in Brooklyn 2 for $28 3-course special. We started off with one giant iceberg wedge with blue cheese and bacon. It was nothing special, just salad. For the main we had the 4 pieces fried chicken, came with 3 breasts and 1 wing, with 2 sides. We chose French fries, which was good, and mac n cheese, which was a little dry. I had the hot chicken and it wasn't hot at all. The chicken was so juicy and good, but not the best I had, though slightly better than Pies N Thighs. For dessert we had the banana pudding. Basically the special came with one appetizer, 4 pieces fried chicken, and one dessert. I wish they given 2 appetizers and 2 desserts.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.104417293; Sentiment_Subjectivity (from 0 to 1): 0.618295739 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only is this place awesome the prices are incredibly cheap. I usually get the rice rolls with fish balls for $1.50 and the roast pork over rice for $3.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.2875; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so much about their burgers, I decided to stop in on a weekday around 6 PM and there was no wait. I tried the original burger, slash burger, thin fries and fried pickles. Their burger buns are very cute with a U stamped on top. The original burger had parmesan crisp, shiitake mushroom, roasted tomato, caramelized onions, and house ketchup. The slash burger had braised shiitakes, caramelized onions, house American cheese, avocado spread, wasabi aioli and parmesan crisp. The burgers are actually very similar and tasted alike. After finishing the burgers, I still like shake shack burgers better. The beef patty didn't hold together well and fell apart. It was also a little oily. I guess I'm also use to having lettuce in my burgers and the burgers I ordered didn't include lettuce. I thought the burgers were okay. The thin fries were very thin and tasted like potato sticks than French fries. I thought the thin fries were not that good. It came with 3 different sauces and I didn't really like it. I prefer my fries with ketchup and requested for ketchup. I thought the fried pickles were interesting and decided to give it a try. It was basically a pickle covered in batter. I thought the regular pickle taste better.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.156195652; Sentiment_Subjectivity (from 0 to 1): 0.52522854 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new hotpot spot on 8th ave has a modern décor different from all the other hotpot places. It's not unlimited or has any set prices. It's pay per food you order. We had: 1. Half spicy & half non-spicy soup base, came with assorted vegetable 2. Lamb 3. Clam 4. Shanghai Cabbage 5. Potato noodle 6. Fried tofu 7. Pork 8. Shrimp 9. Corn 10. Oyster mushroom 11. Wonton And the total was $62.03, which is a little pricey because I've been to too many all you can eat places for $20 per person, but my friend and I were very full. The soup base is not the best I have. The spicy side was kind of sweet, which is odd.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.051803977; Sentiment_Subjectivity (from 0 to 1): 0.539242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is pretty darn spacey & super clean for a sandwich shop. Yes you'll have to walk many feet to reach the counter and they will punch in your order on these new high tech touch screen computer/cashier thing. Many of the sandwiches run under $5 and there are Vietnamese drinks, snacks, & appetizers to the sides you can grab. Their sandwich is really good.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.368295455; Sentiment_Subjectivity (from 0 to 1): 0.620151515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 coming to this restaurant with my mom for like a decade and counting. My mom loves this place and so do I. The food has always been good and consistent ever since. I usually order the seafood noodle soup and duck. Service is quick and the food comes out within minutes. Perfect place if you're hungry or in a rush.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.406666667; Sentiment_Subjectivity (from 0 to 1): 0.52 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Holy Moly! Did a bit of research and found that Ippudo has the most reviews on Yelp. Got here on a Monday at 5PM. They weren't open yet, but I saw a mini line forming already. A few minutes later doors were opened and we were seated rather quickly. Upbeat, funny atmosphere (the workers were screaming every other minute) the decor is absolutely unique, very attractive too, for example the different ramen bowls across the wall. Now I can say I experienced it and my review can get lost with the other almost 2k reviews here. It's seriously way too hyped up.   Super fast service, but we didn't feel rush. It was pretty loud with the kitchen and workers flying here and there. Not the most peaceful place to have conversation. Though it's a pretty fun place to hang out at. It's OVERPRICED! An average bowl of ramen runs about $15 and that's not including tax or tips. Now you're looking at about $20 for ramen. Hey if you have the resources knock yourself out. Once in awhile it's okay, but I can say it's not worth it. If their prices looked a little nicer then it would've got 5 stars from me, but no there's just too many other options. They are pretty cheap with the portions too. 1. Of course have to try the infamous pork buns. Yes the pork is very tender and flavorful, but it was a pretty thin piece that the bun will take away the flavor of the pork. They need to give a fatter piece! 2. Shiromaru Hakata Classic, they provide a big spoon, which is too big and the portions are quite small, not much use of a big spoon, but it does look cool and looks cute too. The ramen is on the thinner side and there's really only 3 super thin pieces of pork loin, what?!! That's so cheap. The broth was heavenly I loved it, finished every drop of it.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.145561594; Sentiment_Subjectivity (from 0 to 1): 0.58134058 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for lunch and they have a great lunch special. The décor of this restaurant is beautiful. However, the food was eh... had the pad thai and it was too salty.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.669047619; Sentiment_Subjectivity (from 0 to 1): 0.773809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is small and really cute place in SOHO. Clean and friendly service. I had the greek salad - it is over priced. The portion is small and it has only feta cheese, cucumber and onion. Taste is good and I will probably go back, but the portion is too small compare to the price.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.119166667; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I found great Greek restaurant in the city. I almost want to give 5 starts. You will find the decoration is unique. They have communion table/bar for those people who walk in. That seems like a good idea if you come as small group. We had 6 people for my hubby's birthday dinner. I made a reservation in advance - they saved a nice spot on the corner in front of mirrors. Service was good Food was fantastic - everyone was surprised in a good way We shared - Greek Salad - Melted Greek 3 different kind of cheese - Grilled octopus (this is a MUST try food here....so soft and tasty) - Lamp chop - salmon dish..can't remember exact name. But it was surprisingly good. - short ribs - Pasta dish - Yogurt cake (they prepared for my hubby's birthday cake) - Chocolate mouse - Greek dessert (this was so yummy): Galaktobourekakia My foodie co-worker recommended this place. I am glad that I trusted his recommendation. The reason that I am not giving 5 start is that the waiter asked us to order whole food at once in the beginning when we wanted to take time to order food for entrée after we ordered the appetizer.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.308333333; Sentiment_Subjectivity (from 0 to 1): 0.530952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: to my opinion - their hundread acres and fivepoints food are better than cookshop. however, their drinks menu are pretty good. My highly recommendation drink is -  "KUMQUAT CUP" they put acai in your drink - it is pretty refreshing! also, i tried their "ice cream cart "out side last week. It is fun! their vanilla, lemon cart flavor were pretty good. make sure whatever flavor you choose is kept cold - few flavor (vanilla) was almost melt when we tried last week.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.250714286; Sentiment_Subjectivity (from 0 to 1): 0.611587302 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tried this place last Thursday for a business lunch. Inside space was bigger than I thought (their entrance is pretty small and narrow). I had two appetizers as lunch. The portion was big. I had baked flat bread with mozzarella & tomato and grilled chicken salad. Flat bread was a good call. I will go back to this place!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.013636364; Sentiment_Subjectivity (from 0 to 1): 0.387878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: excellent!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: decent food Saturday lunch - we walked in without reservations, it was fine. 4 of us had the lunch fix menu. pork bun, lam sausage, rawbar appetizers, two wines - total $230. dessert was pretty unique and good. i think i like momofuku noodle bar better.. we were all still hungry after lunch...and had to pick up some food on the way back home..; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.301041667; Sentiment_Subjectivity (from 0 to 1): 0.627083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 picked up regular wonton nooddle soup ($4.50) for lunch. If you do pick up, it will take you only 2 minutes for waiting time. It is tasty and the soup base is good. They put extra scallion. yumm..I will def. go back to this place!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.016666667; Sentiment_Subjectivity (from 0 to 1): 0.462820513 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 perfect Korean take out place. If you are looking for varity, fast, cheap place. Please go to "Woorijip". Clean, good service. Taste is decent, i won't say amazing - but what you pay is what you get. considering the cheap price, the food is pretty good! can't complain. They have hot food, cold food, easy access to all different type of dishes. they have a seperate place to pick up 5 different types of rice as well (white, brown, mixed rice, dry jasmin rice,,etc). They also have hot snack counter inside - they cook right before they serve you. I even stop by today to pick up dinner. pretty satisfied. yay! i am a fan.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.29025974; Sentiment_Subjectivity (from 0 to 1): 0.708441558 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yelp's recommendation was definitely good. I went this place with bunch of my co-workers. I tried mizo-glazed salmon and octopus spinach noodle salad. Very!!!! Tasty! Place is small - about 6-7 tables total in the restaurant. It seems like more take-out than sit down eating place. This place was clean and they serve beers/wine. I will definitely go back and it may become my regular lunch spot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.196829186; Sentiment_Subjectivity (from 0 to 1): 0.401756885 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i live in brooklyn..i gotta try the grimaldi. saturday 4pm - the owner said the waiting line was 20 mins. we end up waiting for 45mins. a next door gift shop rent a chair for those people who are waiting on the line. $3 per chair. LOL! the pizza is very thin and tasty - which is similar to the pizza from lombardi in SOHO. I would never wait the line again to eat this pizza. However, now the brooklyn bridge park is opened - we will do "TAKE OUT" next time and eat at the park! we order 2 pizza with 4 toppics total - paid about $45. Food - 4 stars Service - 2.5 stars (they just want you to leave..what do you expect with the people line out side...) Mood - just very very casula non-fancy place. pizza place! 2.5 stars; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.117670455; Sentiment_Subjectivity (from 0 to 1): 0.4675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: it was surprisingly good food. I didn't realize this restaurant was Italian...it looks like a standard bar in SOHO from the outside...and usually just walked by. I just had business lunch $25 per person for appetizer and entree. I had mushroom soup and cod fillet. both were good. mushroom soup was bit salty but was good. cod was perfectly cooked. I tasted risotto from friend's plate..it was interesting - made with red wine. Dessert was good - we shared pumpkin puree with gelato - whip cream was fuzzed with coffee. I will probably go back there again sometimes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.405; Sentiment_Subjectivity (from 0 to 1): 0.415 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Taste: 4 stars Drinks: 4 Stars - I liked the rose sancerre, and cluny (quite a bit of giner taste - if you like giner, it is great!) Waiting time was long even with the reservation - I was there on Friday evening..; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5375; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: average of 689 reviews tell you the truth. Yes, I am a fan of this SUPER THIN brick oven pizza.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.072222222; 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: i was surprised with the great food, service and atmosphere. I went there for lunch with a friend. We shared Delicata Squash with Hazelnuts- amazing! and Brussels Sprouts with Local Apples. plus Calamari with Farro & Salsa Verde: it was very healthy and perfect seasoning. We also shared (cod) Market Fish with Swiss Chard & Grapefruit. it was soooo  yummy. I can't wait to go back to this place and try other menus. Maybe I will do a romantic dinner one evening.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.352777778; Sentiment_Subjectivity (from 0 to 1): 0.563888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went there for Saturday brunch just past weekend 2/5/11. Half of restaurant was empty. I ordered "French style omelette" and my friend had "calamari salad". My omelette portion was so small and my friend's salad was all fried and hard to find calamari on the plate. We had to order one more dish,,,because we were still hungry. "French toast "was pretty good. Crunch outside and soft inside..that was yummy. But overall, it would've been better. plus the bill came out around $80..should've been better..; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.099444444; Sentiment_Subjectivity (from 0 to 1): 0.357222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ruby for Friday lunch. I was very happy with food and service. I had pumpkin salad with goat cheese and a panini. My friends had spicy pasta, stake sandwich. All of them are good. We also shared chocolate bread pudding. Two thumbs up! It is a small place with 4-5 tables. not for big group, but good for smaller than 4 people. Lovely service. I don't hesitate to give big 4 stars - but they take ONLY CASH!! If they take cash, i will give 5. =); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3325; Sentiment_Subjectivity (from 0 to 1): 0.605 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went there for the saturday brunch/lunch. Excellent food - fresh, decent portion, clean. Their dessert was amazing - bread pudding, warm banaa hazelnut were great!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.576190476; Sentiment_Subjectivity (from 0 to 1): 0.730952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: we ordered dinner from joya often. very authentic and tasty. the portion is pretty generous as well. love them~~; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.858333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You don't need a reservation, it is walk-in after 6pm. It is casual/cute place that has grilled fire inside for stake/chicken..etc My favorite was the MUSSLE! We picked the sauce that has bacon in it..it was amazing!!!!!! I even scooped the soup base and drank it..=) The stake was decent. their fries are pretty good! I usually don't eat french fries, but I ate theirs quite a bit..yummy! Spagetti was also well done, but bit salty. Overall, it is pretty good and I would go back for the mussle!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255128205; 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: went this place for lunch today with party of 4. Everyone was happy with their food. When you walk in, you will see a display of desserts. all looks good. I had to rush my lunch today, so I order a soup and a grilled shrimp salad with lemon vinaigrette. It was very yummy that I finished the whole plate! Everyone else got their pastas/lasagna - they loved it. I will definitely go back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food! Three of us shared chilled corned cucumber soup, grilled octopus, beet salad, and margahita pizza. Pizza was soooooooo delicious. Very pretty model like waitress. She has british accent that is so cute. (that was a plus for 5 stars.=)) Amazing atmosphere. Candle lighting. Decoration and wood furnitures. Dessert: we shared flowerless chocolate cake with their special icecream - this icecream really surprise you with flavor. Yogurt pinotta with butter cookie. It is really nice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.483214286; Sentiment_Subjectivity (from 0 to 1): 0.757142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I loved the food, deco, cava,,service..everything! Went there with three other girlfriends. Fantastic! We all enjoyed it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4375; Sentiment_Subjectivity (from 0 to 1): 0.69375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I crave Snack's delicious food at least once per week. I love so many dishes on the menu.  The veal meatballs, the lamb sandwich, the tasty Greek salad and the freshest tzadziki make me happy.  I also love the lemon potatoes and have been known to cobble a meal out of those and the aforementioned tzadziki. Everything is quality and they have excellent Greek wines on the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.51 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's a lot of hype surrounding this place. The food was solid, but it wasn't mind-blowing or anything.  There are some stand outs and some misses. It's the awesome waitstaff that gives this place major star power. The bartender was super attentive, which is a boon at a packed bar.  Our waitress put up with a group of friends who hadn't seen each other in a while. Trust, we sat for almost an hour without even looking at the menu and the waitress was a saint. Eventually when we were ready to order  we took two suggestions from our server and she hit the nail on the head.  We like the liver mousse and the pasta she suggested, and my friend let the server pick an entree for her.  Pastas seem to be the stars here, but the other two entrees besides the pork chop were totally forgettable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.138425926; Sentiment_Subjectivity (from 0 to 1): 0.546296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 AC is chilly, the burgers are fresh and juicy and there's bacon jam. However, I was happiest about the excellent service.  And the onion rings.   This will definitely be my burger spot in the neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.175; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has got to be the most authentic Cuban in the whole city. Love the aguacate salad (just sliced avocado served with vinegar) the black beans are on point, the rice is right and the puerco was suberb. They even serve it all with real toasted Cuban bread! Hits the spot when I'm not getting to Miami anytime soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.295578231; Sentiment_Subjectivity (from 0 to 1): 0.502721088 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think of this place as the perfect little neighborhood joint.  It's small, the service is rushed but the food is great. Large selection of pasta and pizza, and some solid appetizers.  It's a really nice place to take a group of people, because everything is reasonably priced.  But it's also cute for a date or a good place to take kids or family. They also do a really nice, fast delivery.  The best pasta takeout in Soho.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.413598901; Sentiment_Subjectivity (from 0 to 1): 0.636813187 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a confession to make! While observing Pre Easter Lent I was dreaming about 2 things: steak from a grill and a lamb sandwich from Snack... Thats how good it is!!! Don't get me wrong, there is a wide variety of amazing items on their menu, it's just that particular sandwich really got my soft spot! My personal conspiracy theory is that they actually put some kind of a drug into it, like those Chinese ppl do, so you just HAVE to come back for more!!! The place itself is as small as it is cute. Perfect for a little get together with a long lost friend, but I would assume reservations are required for dinner hours... The staff is super cool, attentive and accommodating. Considering the fact that I am a very detail oriented person, I get so excited about eating there, that no matter how many times I go there ordering the same things, I always forget the name of their special Greek coffee, which apparently is a frapuccino and an iced one for that matter, haha. I wrote it down last time i was there and now they will finally have to stop making me that complimentary batch of my imaginary coffee. I think that $14 for lunch is pretty steep of a price, but I do believe it is worth it, thus I cannot take off not even a single star!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.205587246; Sentiment_Subjectivity (from 0 to 1): 0.474063051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 grabbed lunch here for the first time. Got the pikilia plate. Will definitely be coming back again! Helpful staff and they made my to-go lunch order quite fast.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1125; Sentiment_Subjectivity (from 0 to 1): 0.358333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 GOOD!! Ordered the Lemongrass Chicken Bahn Mi and Shrimp Salad Rolls and both are delish! I will certainly eat here again. The Bahn Mi is pretty big so for future I won't order both, but am excited to try everything else on their menu. Waitress was nice and helpful and spoke good English (which is always a nice addition to a good Vietnamese place). I waited outside and she brought the food out when it was done. Great experience and really enjoying my lunch at my desk now. Note: Cash Only; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.311830357; Sentiment_Subjectivity (from 0 to 1): 0.606026786 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was a perfect way to end our snowy NYC adventure for my Birthday. We tried the Chicken & Basil dumplings, the Pork & Chive dumplings and a Peking duck sesame pancake. All were very good. I will be visiting again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.436666667; Sentiment_Subjectivity (from 0 to 1): 0.91 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a amazing dinner here & even got to meet Marc Forgione! We went here as a celebratory dinner of me getting my new job. Want to go here again and again. Service, Food, Ambiance were all amazing!! They are great about suggesting, easy with food allergies and are aware of when you need something but don't hang over you. Definitely one of the best places I've had in NYC. You should definitely make a reservation as they got packed (which we did). Next up is trying their brunch!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.430719697; Sentiment_Subjectivity (from 0 to 1): 0.538787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 meal. We had high expectations and Perilla did not let us down. The special dessert of the night was a chocolate souffle and it was amazing! The staff was attentive and helpful but not overbearing. This is also a great place to bring visitors especially if they want to say they ate a restaurant owned by one of the Top Chef winners. We will be visiting again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.401287478; Sentiment_Subjectivity (from 0 to 1): 0.688924162 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pork belly to go for lunch today - SO GOOD! Will be going here again - excited to try their other dishes. Service was super nice. FYI - Cash Only.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.343055556; Sentiment_Subjectivity (from 0 to 1): 0.731944444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really charming and intimate setting-- don't understand why the restaurant is called Snack, but the Greek food is great. Our favorites were the veal kibbe/ meatballs (they melt in tour mouth) and roasted feta which was off the menu. We had the mixed mezze starter which was also very nice, but all three dishes are more than enough for two people.. Our waitress was fantastic and really knew the menu inside and out. Will probably return soon...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.358; Sentiment_Subjectivity (from 0 to 1): 0.57 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love Taiim in the West Village! This one (by the same woman) is very nice too, but totally overpriced! The space is very cozy and true to it's Nolita location, and it's always full which makes it fun. We ordered fried olives in labna (meh), an eggplant (babaganoush) bruschetta (which was fantastic, however $11 for one piece of bread with eggplant on it is unacceptable) and falafel-wrapped meatballs (utterly pointless because you could barely taste the meat). The main courses were good but again overpriced. The chicken was cooked perfectly and incredibly rich in flavor. The sauce it went with was tangy and mixed well with all of the dishes we ordered. We also had the sea-bass, which was cooked nicely, but totally overpriced! For $28, you can go elsewhere (like abc kitchen) and have a fantastic fish dish much better than what they served here. Overall, the meal is good, but I wouldn't return unless someone else was going to cover the bill!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.282028986; Sentiment_Subjectivity (from 0 to 1): 0.607971014 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 actually blown away by this place because I would never bring myself to eat Scottish food on my own. Always thought it was gross. This is where friends come in handy! We didn't really explore the menu beyond drinks and few plates, but I left happy (and buzzed) which turned out to be a great start to the night! We ordered a mix of cocktails, beers, sparkling wine and a flight of whiskey samplers over the course of dinner. Random selection, but everyone seemed happy. Some whiskeys were great, others putrid, it was all washed down with the help of some ice and beer. For dinner, we split the shepherd's pie (with hen of the woods) which was AMAZING. And this is coming from someone who never orders mashed potatoes and didn't even know the exact meaning of "hen of the woods." I think it's too big a portion to have all on your own, assuming you plan to continue the night afterwards. We also had some kale salad and a green salad with a lemon olive oil dressing. Also fantastic. Everyone was pleased. Space was warm and inviting, and they sat us by the window so we were able to watch others freeze outside. Will definitely return.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306018519; Sentiment_Subjectivity (from 0 to 1): 0.533912037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for their brunch-- I normally just come for drinks and I would easily give them 4 or 5 stars. The second floor has comfy couches. Order the Dark & Stormy! Brunch was underwhelming. I ordered the chilaquiles, which were served luke-warm. Tortillas are supposed to be crunchy. It arrived as a lumpy mound of starch soaked in tomato sauce. I ate the eggs and the tiny scoop of guacamole they placed on top. Don't order it! My brother ordered some plate with eggs and cheddar- rice grits. He seemed to like it, but wasn't blown away. It's such a cool space inside, but skip their brunch and come in the afternoon for a drink instead.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.171354167; Sentiment_Subjectivity (from 0 to 1): 0.504166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Vietnamese street sandwiches and consumed tons of them while in Vietnam and around my neighborhood in LES-- I heard a lot about this place so I thought I would try it. I wasn't in the mood to have pork, so they left me with two options: a vegetable banh mi or one with chicken. Normally Vietnamese places offer you a "chay" version, essentially vegetarian with tofu. Their meatless version didn't even include tofu. I ordered the chicken which sucked. Chicken was disgustingly salty, their peppers weren't spicy, and they added tons of mayo. I don't even remember the sandwiches in Vietnam having mayo. The staff were nice, but they were Chinese and told me they had never been to Vietnam. Fnally I asked for a Vietnamese coffee, which normally comes strong and thick, which turned out to be too sweet and with milk (not even condensed milk which they normally use). There are so many better options around my neighborhood (LES/Chinatown) so I don't think I'll be heading back...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.012962963; Sentiment_Subjectivity (from 0 to 1): 0.586574074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gringos attempt the difficult task of taco-making... Result: Success! The Guaco Taco is amazing. I may have dreamt of it on numerous occasions. I had some type of chicken taco (may have been chipotle) which was ok as well. The place itself is almost hidden in the back of the Essex Street Market. It has two bar stools, but who eats tacos sitting down, anyway?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.005864198; Sentiment_Subjectivity (from 0 to 1): 0.49691358 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An otherwise depressing, rainy Tuesday was immediately flipped once we walked into Tartine for lunch. The small space is warm, worn-in, and simple. Most tables face the windows which look out onto a typical (but always beautiful) W Village corner. We opted for the quiche which came with a side salad. Salad was pleasantly simple and while I'm not sure which type of greens they used, they were bitter and delicious. The quiche was OK, nothing spectacular. It was served luke-warm and aside from some rosemary in the mix, it didn't really stand out as anything amazing. I really don't think the food is anything to rave about (I've been here a few times) but you won't have a bad meal and the prices are on par with what you are served. I love the BYOB policy for dinner. I'm guessing it's been written up in guide books as the entire restaurant (excluding us,  the 2 token New Yorkers) were Asian or European tourists, guide book in-hand, but no matter. We still sat and enjoyed ourselves for about 2 hours content with our food and surroundings...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.163320707; Sentiment_Subjectivity (from 0 to 1): 0.535391114 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An indisputable 5 stars for the price. The food is harder to rate. Quality and taste varies from dish to dish. Here are the best dishes I've tried (and the only ones I would recommend): -pork and chive dumplings. The only good dumplings they have are fried, and the only fried dumplings have pork. -sesame sandwich with vegetables: probably more calories than a bagel or donut combined, but cheap and filling -tofu soup with duck bone-marrow broth: oily but flavorful and filling -wonton soup: a good start, but hot sauce and soy sauce required -steamed vegetable bun: good value + generous amount of veggies To avoid: -any type of steamed dumplings (borderline gross and not tasty) -fish ball soup (as bland as it gets. soy sauce won't save it) -sesame with egg: it really tastes like the egg was cooked in pork fat. -most of their soups are bland. I wouldn't recommend ordering them unless you are not that picky.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.282291667; Sentiment_Subjectivity (from 0 to 1): 0.594791667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BANANA-DATE-LIME SMOOTHIE. Remember these words. No West Village stroll is complete without a stop to this packed falafel stand. It has a religious following, and with good reason. First and foremost (in my opinion), the smoothie: the perfect combination of dates, lime, banana and soy milk. It never disappoints, and the best part are the chunks of dates that make their way up the straw. It's really one of the best in the city. The falafel and sabich is also amazing. Everything is fresh and tasty and the sandwiches come packed with vegetables and condiments. The falafel is unique-- wouldn't say it's the best-- but with everything else in the pita it somehow becomes a perfect combination. Sitting inside is slightly problematic, but taking everything to-go and eating in a nearby park or along the river is thoroughly rewarding. Get the smoothie!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.498958333; Sentiment_Subjectivity (from 0 to 1): 0.521875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 passed this place at least 30 times but finally tried it last night. We ordered burgers al estilo "Australiano"-- both which were very good. It isn't really a burger as much as it is a sandwich, but maybe that's how they prepare it Australia (?). I ordered the chicken, my flat-mate the ground beef. They come with meat, some type of sweet chili, arugula and some other veggies that makes a surprisingly tasty combination. We both opted to avoid the mayo. The broad was ghost white but still packed in some crunch. I wouldn't be opposed to eating the same thing on a real baguette, though. The space is small and fits perfectly well with its NoLita surroundings. Another reason I love the neighborhood! I don't know if I would call it a date spot, but it's perfect for a casual sandwich or salad.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.182763158; Sentiment_Subjectivity (from 0 to 1): 0.511885965 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Relatively inexpensive, cozy and flavorful food. It's always on my mind when I want an easy meal or coffee in the neighborhood. Food is not 5 stars (neither is the service) but it thoroughly satisfies me when I want a relaxed (and healthy) meal surrounded by fun people. Everyone orders the avocado toast-- it's pretty good, but I could make a better one at home. Couscous- not your normal couscous. Here it comes drier and served in the form of a sand castle, with a hummus crown and a moat of olive oil and herbs. It's good enough that I finish it each time. Salmon Pot Pie- it's a great dish to share. It has an earthy taste thanks to the rosemary and other herbs they use, and the red tomato sauce is a great complement. It can be a scene during the weekend. Otherwise, it's relaxed and filled with locals during the week.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.318137255; Sentiment_Subjectivity (from 0 to 1): 0.535784314 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my favorite pizza restaurant, and I'm all about thin-crust pies. I ordered one which had the arugula on top. Actually, the toppings were amazing, it was just the crust that under-delivered. It was thin, but too burned and a little too black for my liking. It reminded me of the times I accidentally left pizzas in the oven for too long and burned them. On the upside, wine was great. I wouldn't really come back considering there is better pizza in the neighborhood, but it wasn't a bad meal by any means...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.113988095; Sentiment_Subjectivity (from 0 to 1): 0.485714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars, really. This is my neighborhood go-to place! It's the kind of restaurant where it's trendy but not overdone, where you can dress up or come in casual and not feel out of place, where the food is fantastic and the bill is never too high. The wait for 2 people is never that long and the packed bar in the front keeps us busy with a drink while we wait. I typically avoid the pastas and mains and share two appetizers and a pizza. We went this past weekend and shared a beet salad with yogurt, pistachios and cumin (excellent!) and a baby greens salad (very good) and split a margherita pizza (excellent). With three drinks and the food, the bill came out to $70-- really not bad at all for a satisfying meal in the heart of NoLita. The front is loud but fun, while the back (loud as well) is intimate with a giant glass atrium that must bring in amazing light for brunch on weekends. **They didn't have it on their menu this past weekend, but in the summer they served a salad with fava beans and ricotta-- outstanding!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279133333; Sentiment_Subjectivity (from 0 to 1): 0.653133333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 awfully small, but don't under estimate the place size for the quality of food. I really enjoyed eating here, it seems they make it fresh once you order, it's not per-made food. I ordered spinach and cheese puff (i forgot the real name), but taste yummy. Tips: Place gets crowded after 9 pm; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1875; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Even though this place is famous for chicken dishes, they have plenty of Veggie options. I tried Fried Tofu which is one of the specialties (homemade).  Finally, finished with Green Tea ice cream was simple and tasted good. You need call 2 days a head to make the reservation or during the weekday you can walk in, but need to wait at least 30 mins.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.014285714; Sentiment_Subjectivity (from 0 to 1): 0.658163265 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my goodness! For some reason I have never gotten into Greek cuisine, but after one dinner here, consider me among the converted. This place made me think past feta cheese and gyros and opened up a world of delicate, delicious Greek delicacies. Portions are surprisingly big -- after just two appetizers I was forcing myself to finish my entree. The place is TINY, so get there early (even on a weeknight), because it fills up fast.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.083333333; 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: This past Thursday I headed over here with 2 other friends around 8pm expecting a long wait--but when we got there we were seating right away! Our food was taking a long time so the chef sent over complimentary fish tacos, which made our day. I ordered from the specials menu--a bluefin tuna. It was good, but didn't wow me over. We also ordered a piece of blackforest chocolate cake despite the fact that all of us were so full from dinner...the cake was mighty tasty. I wasn't totally wowed by the food, but the atmosphere is nice and the service was very good.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.249395604; Sentiment_Subjectivity (from 0 to 1): 0.618516484 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tasty. Great portions. Yummy hamburgers. And I ate brunch whilst dreamy Paul Banks from Interpol sat at the bar. Could it get any better?; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't let the Olive Garden decor fool you, the food is amazing. It's the same staff as the beloved Bonita -- so those magnificent fish tacos they used to dish out have returned to the neighborhood. The auga frescas are fantastic as well. If you can look past all the bad decorating choices and focus on the food, your mouth will thank you.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.691666667 [/INST] Not Spam</s>