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syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Smokes.... I need more foodies in my life that can open my eyes, and stomachs to amazing places like Gaia without looking too hard. We were trying to keep our meal light and delicious, but the entire menu looked too good and too cheap to stop ordering. We ended up going family style, 3 people, 4 items and left with full bellies. Drizzled in Parmesan and tomato sauce the only thing holding us back from licking the bowl of Spinach and ricotta gnocchi clean was our lukewarm bread. As for the Buffalo Mozzarella with tomatoes in pesto sauce, we just couldn't stop. It's been  rumored (and by rumors, I mean I didn't google verify) that Gaia gets their fresh mozzarella flown in from Italy every Thursday. Add that to some fresh tasting pesto and you've got yourself a winning combination. With no idea what Bresaola carpaccio with arugula Parmesan would amount to, we ordered our dish and were pleasantly surprised to see too  much meat, lots of parmesan and plenty of greens to keep us healthy. We wanted to keep the health kick going and ordered the arugula salad with tuna. Though the salad was beyond delicious, it was the only item I wouldn't order again if we had to do it again... You've got to save room for desert! Keep in mind that Gaia closes promptly at 7, so if you want your food, get in before 6:30! I only wish they were open later so we could come more often.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.263425926; Sentiment_Subjectivity (from 0 to 1): 0.605709877 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: $5 mojitos with dinner you say? Sounds fabulous! The food was really tasty and the menu has a lot to offer for anyone's taste buds. Our table ravished the mini rolls that were nice and gooey along with the bean dip! I decided to go with my staple and order the Salmon. I was most excited for the Lobster mash it came with, but wasn't too thrilled with the mash itself, but enjoyed the lobster bits. After nibbling on all the plates around me I was impressed with both the fish and meat options. The Paella and mixed shellfish platters were plentiful and easily could have been split between two people. I've heard brunch here is also good, future date plans?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.463194444; Sentiment_Subjectivity (from 0 to 1): 0.638194444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chicken sandwich & empanadas. Empanadas were a bit weak. The meat was better than the cheese ones, though and throw on some hot sauce, and everyone has a good day. The Chicken sandwich was delicious, the avocado a really nice flavor My friend got the chicken combo and it looked good. The rice was tasty & the chicken plentiful. This place was very mom & pop, they were willing to help but it's semi serve yourself. As in, I had to find the hot sauce I wanted, and pour my own water mugs... luckily I am capable of doing all these things.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1546875; Sentiment_Subjectivity (from 0 to 1): 0.7671875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ambience is really nice and cozy. You walk into a dark curtain entranced room, gorgeous leather benches, enormous chandeliers, dim lighting & subtle music. A good date environment, or a place to catch up with old friends. I ordered the Sautéed red chili. The waiters didn't ask how you like your spice level before prepping the food & it came out pretty spicy.  Don't get me wrong, I'm not complaining! Everything also comes out very fast here, there's a certain pace to the place which can get annoying. For instance we were having a deep conversation, but were asked by waiters at least 3 times if our check was done. Very cheap $10-15/ entree. Cocktails $10 During the week, no line. Tried to go Friday night, 30 minute wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.05755291; Sentiment_Subjectivity (from 0 to 1): 0.645079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 TINY! I think it fits 10 people max. Keep that in mind when considering to come here on a weekend night. The food was great though and setting romantic! I recommend coming here if you're in the area and there is an open seat. Oh word of warning, but i guess it's standard for smaller shop establishments in NYC, i saw a roach on the wall here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.133333333; 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: WOWZER! What an amazing gem of a place. How do people hang out in the Meatpacking district and get boozed up with snobbery when such amazing, culturally sophisticated places exist, is beyond me. The food was so good! the drinks were amazing and what more can you ask for other than a live, 5 piece flamenco show with 2 female dancers, one male dancer, two guitarists and vocalists. come on a sat and/or thurs night for the live flamenco. i recommend going and not missing it, if at all possible.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.280194805; Sentiment_Subjectivity (from 0 to 1): 0.570833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 twice. First time I wasn't too impressed. I ordered the rack of lamb i believe and while it was good, it didn't blow me away. Same with much of the rest of what I'd ordered. Last weekend, i came here again and was blown away by the pasta dish I ordered. Forget the name, but it was open shell pasta with a meat sauce. Delish! Also the drinks where great. Can't complain and def recommend. Esp., bc it's not as high priced as the MAS Farmhouses of the world.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.345555556; Sentiment_Subjectivity (from 0 to 1): 0.457222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything about this place is amazing. As you walk in you can't help but notice the unique detail. From the look of the chairs, to tables, bar area, plates and more - there is not a thing that wasn't taken into consideration and/or acknowledged in the design and development of this restaurant. The lighting it dim and romantic, the cocktails are tasty and the food decadent. Ordered the ginger martini, the beat dish and sea bass. Split a bottle of a red wine and had the sundae for dessert. It was like heaven in my mouth. Both the beat dish and sea bass were so rich in flavor and not like anything i've ever had before. The sea bass was about 25 bucks and the beat dish was maybe 12. Def not the priciest, but sure, not the cheapest. Still you get more than what you pay for, in my opinion. I HIGHLY recommend coming here. You won't be disappointed, but DO make reservations, bc otherwise it's doubtful you'll get in. This place is a number of lists from best new restaurant in NYC, to top restaurants in the US and it's def worth all the hype!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.164282297; Sentiment_Subjectivity (from 0 to 1): 0.55702286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty cool place. Good for brunch and lunch. Though i must admit the menu is limited. I wanted lunch at like 3p on 4th of July and had only like 4 options to choose from. I went w the burger. It was good. I don't live in the area, but if am ever in the area again would rather eat here than anywhere else.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.294990724; Sentiment_Subjectivity (from 0 to 1): 0.641836735 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Another great ramen spot in Hell's Kitchen! This place is a little more grungy and small. Can be tough to get in but when you do the spicey ramen is amaze. And so are the pork bun!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.115277778; Sentiment_Subjectivity (from 0 to 1): 0.596666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best. Ramen. Ever. Need I say more? Make sure your ramen is in a red bowl. And always add an egg. Don't forget the pork buns!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.422222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dark Horse is awesome! Each booth has their own TV designated to them. The food choice is killer too. Nothing you can't order here. I had a couple of beers w/my bf and the chicken quesadilla. Totally delish and worth the gaming experience! I highly recommend this is a go-to sports bar in the area.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.197857143; Sentiment_Subjectivity (from 0 to 1): 0.677142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A friend of mine took me here and i'm so glad that he did! I have never had Korean food and i loved this place. I don't know what i put on my plate from the buffet style spot, but i swear i tried everything and liked it all!  Got a big can of beer and sat in the back where it was warmer since it was below zero last night. It's a very youngster cafe looking place, but i liked the environment. very laid back. def would love to come back again!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.297916667; Sentiment_Subjectivity (from 0 to 1): 0.397222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food, great desert, great drinks - all at a decent cost! Loved the music and setting of the place and if you check-in via your phone through the Yelp app, you get a free drink w/any meal mon-thurs! can't complain. I'll be back!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.544047619; Sentiment_Subjectivity (from 0 to 1): 0.645238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here with a group of 4. It was nice. It's not super fancy and not super grungy. I can't say i'm super into French food, so I prob didn't appreciate this restaurant to its full potential. Still, the dumpling app was great and my tuna burger was different, yet very tasty. The group I was with also seemed pleased - so 4 start for Odeon!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.234090909; Sentiment_Subjectivity (from 0 to 1): 0.654545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last week while walking by and wanted to check it out bc it looked neat and i feel like ive heard good things about it. So came here with a friend visiting from out of town yesterday and we loved it! I got the empanadas and fried plantains. so good! also got a couple of capairinias that were very tasty. nice bar, good food, good music. i want to come back for sure!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.5275; Sentiment_Subjectivity (from 0 to 1): 0.545555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let's be real. It's nice, but a bit over rated. That's why i'm giving this place three stars, bc I think it needs to cool it's ego down a bit. Thing is this - It's a popular place, so always crowded. Not to the point where u can't move around, but still. The ambiance is nice - not too loud, not too packed, but the service is WACK. it's like they know they're cool and are gonna get business so they don't really bother. Got seated by someone that looked they came out of The Color Purple. She wasn't very friendly that's for sure. The food was good, but again let's face it, we all eat all the time, so good food isn't THAT hard to find - esp in NYC. Most of the time, it's the service, ambiance and company. I didn't get the burger/fries, which i saw people eating. I want to come back and try that. I bet it's delish. But otherwise, I don't care much for this over hyped place. There was even some D-list celebrity there.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.358767361; Sentiment_Subjectivity (from 0 to 1): 0.591840278 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm conflicted with what to rate this place. I want to give it a 4 for food, bc the food itself is really good. Cafeteria reminds me of Delecatessen in SoHo, but better. It's like a diner 2.0, which is always a win in my book for Sunday brunch. However, I'm giving this place a 3 out of 5, because 1.) in the summer they leave their garage doors open, making it unbelievable hot inside and 2.) the wait is always too long and unrealistic. They should consider reservations. This ends up becoming one of those typical over hyped NYC places that you want nothing to do with after a while.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.173333333; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stars? Really? There is nothing lounge-y about this so called lounge. On weekend nights this turns into a late 20s something early 30s something trashy bar, disguised with money.  At the end of the day this is just another crowded joint that tries to be high class, filled with a ton of dudes trying to get into some ladies' pants. If this is your scene, go ahead and go. If it's not, don't.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.076666667; Sentiment_Subjectivity (from 0 to 1): 0.49 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Maybe this just isn't my cuisine or scene, but I wasn't in love with it for the price. It didn't help that I came in the dead of winter and their heater was broken (freezing!). Our server was very nice and the food was great (got the rabbit pasta and meatballs, friend had the veal which was super tasty). We had a family sitting next to us and across from us an older couple was on a date. Led me to believe this is an older crowd kind of restaurant, which is fine, but it was a bit too foo-foo for me. So why did I come here? had a gift card that I had to use up to this place. Will I be back? Sure, but not because I want to come back or anything.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.25452381; Sentiment_Subjectivity (from 0 to 1): 0.483730159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 starts for what? I walked in here and walked straight out. Around 7p on a weekday this place is a duchery. Loud top 10 playlist music playing in an unnecessarily dark setting. Bunch of wall st dude and chics looking for love in all the wrong places staring down anyone that walks in. When you sit down (on your own accord), you can't even hear anyone talking. Terrible!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.006111111; Sentiment_Subjectivity (from 0 to 1): 0.617777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this is the thing. I've heard abt this place many many times and have been wanting to try it bc of the hype that everyone was creating both in real life and on Yelp. Truth is - this place is too small and always too crowded. And as for the food? Well, i've been around the Latin folk for some time now, dating them, living in their neighborhoods, dancing their native dances - and in reality, i've had FAAAAAAAR better empanadas in in the Bronx, or Washington Heights or even other places in Manhattan. I'm not even going to talk about the real deal overseas either. Anyway, my advice to YOU is not to believe the hype. While it's cool that they have a ton of different types of empanadas and it's right there in Hells Kitchen, if you know anything about Latin food and empanadas, you won't be impressed. However, if you don't know what an empanada is? come here, you'll love it.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.305059524; Sentiment_Subjectivity (from 0 to 1): 0.52172619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bar. Sort of a hidden gem. Really not fancy by any means, but has great drinks, great apps and good room space for the whole gang you choose to bring. Def recommend this place for some drinks with coworkers of friends.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.54047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So i was on a Mediterranean food kick and my boyfriend took me here. The food was good, but truth be told, i prefer my local shwarma spot around the corner from my apartment. The best part about this place was the tabouli salad.  I do recommend that. Otherwise, maybe I don't get this type of food, but it's not worth the cost and scene.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.25 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, though i wished i came here for brunch. Maybe one day! Anyway, it's very cozy. I had the chicken pot pie, which i liked. it didn't blow me away, but I enjoyed it. I also had half of my friend's sandwich which was nice. The salad that came with the meal was also tasty. Deserts here are really good too. I didn't give it a 5 starts just because something was off. I think the food just didn't blow me away like i thought it would based on how packed this place always looks and the past reviews i read. Anyway, i'll be back for brunch sometime and let you know what i think. Plus, it's by my house, so it's not like it's out of the way for me.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.124814815; Sentiment_Subjectivity (from 0 to 1): 0.60462963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW! Probably the best pizza I've ever had. Granted I've never been to Grimaldi's, but really this place was amazing. I should note that Grimaldi's was uninviting anyway. They only accept cash, looks like an old and grungy establishment with a line around the block to get in. Juliana is very quaint and fresh. It's a new place and you can tell. They take cards and provide amazing service with no wait. I even got a free cannoli (amazing btw!) when we came here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.367613636; Sentiment_Subjectivity (from 0 to 1): 0.621212121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's funny - You read the Zagat reviews and see all the postings outside of this restaurant's window, but when you come to yelp you don't see more than 3.5 starts. So, whose word do you take? Here's my take - the food and service is excellent. It's fine dinning and you pay the price for it. i came here with my dad who picked up the bill. here was in NY a week and we ate at several places, including this one. this one was the most expensive of all the spots we went to, hands down. anyway, again, the food was great. i can't remember what i had, but i do remember the impression it made on me. excellent wine and desert. can't complain, but won't be back here until i'm either a millionaire or date/marry someone rich.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.322008547; Sentiment_Subjectivity (from 0 to 1): 0.541452991 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 because my BF and I were craving seafood. I read awesome Yelp reviews and love east village so suggested we come here. We were not disappointed! We ordered the bruchetta app - totally awesome. I then ordered the scallops and mushroom risotto (a dish i like to make at home) - equally delish. The best part is that it wasn't an overwhelming meal. It was just right. The downside is that this place doesn't have dessert, but they do give you complimentary whiskey pound cake slices, which is an original and nice touch. If you're an oyster fan - you'll also like this place. We just happen to not like oysters. Anyway, def recommend!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.561769481; Sentiment_Subjectivity (from 0 to 1): 0.698701299 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review is based on solely the ambiance, because when I came here i didn't eat and i only had a glass of red wine. So at first, the place seems posh. Very nice lighting and music, but then, it's quickly fills up and becomes a zoo. A bunch of people standing around, fighting to get to the bar to get a drink, talking/yelling over each other. I hate that. Also, the tables are really close to one another, so you might as well be involved in the neighbors convo, which is no good. I'm not sold on this place.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.032037037; Sentiment_Subjectivity (from 0 to 1): 0.54537037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: COCKROACH - Got your attention? Well, yes, they're on their walls and no, that's not the worst thing about this place. 4 stars Yelpers? Really? 4 stars for hot wine, roaches on the wall and being so crammed you have to duck from the waiters. I mean really, you are almost sitting on the lap of the guest next to you. Just like most all things West Village, this place is HYPED UP FOR NO REASON. Yes - the Shrimp Risotto I ordered was good, but come on, I'm sure I could get a good risotto somewhere else and feel a lot more comfortable and sanitary about the experience. Came here based on a recommendation - on the food only. Came here with two guys and we were forced to sit in the middle... at what's typically a two-seat table. I was practically on the lap of the person dining next to me - and I was definitely involved in their convo, that's for sure. Felt I had to weigh-in a few times. I hate when you're so close, you get thrown off in your chatter and then you're all into someones else crappy business that you could care less about. Anyway, we try to order wine and ask them to look at the Chianti. The waitress who looked like a man just chillen in a T-shirt tells us that it's on the table next to us and that we can look at it there. Seriously?! Like, let me just pick up the bottle of wine that a couple next to us is drinking. Um no. Rude to do that. Rude to suggest it. Anyway, basically every bottle of wine in the place was hot - like actually warm. Unacceptable. So, we asked them to bring a bottle from the cellar. Ah - success, finally. Moving on, we got sat next to a walk way, so basically if my 6 foot black male friend backed up too quickly, too far, he would go falling down the staircase. Or, if he backed up his chair and someone was behind him, that person would go falling down too. Safety hazard - yes! Violation? yes! Every time the waitress came by, my friend thought he was gonna get hit, so he kept having to dodge her or duck. Again - the place was crammed. Don't even think of coming here if you're even slightly over weight, bc you will not fit. Sorry. Food came out in record time, makes you wonder, but whatever, the food was good. Can't take THAT away from this experience. So, as we're eating in this 2x4 situation that we're in, I spot a COCKROACH on the wall. AWESOME. I've managed to live an entire year in NYC w/o seeing one alive and well and here we are right here at this 4 start reviewed restaurant. The entire meal, the roach is just hanging out right there. No biggie. Yah right - that's gross. On the way out, I made it a point to tell Mr. waitress that that thing was there and she ran to go exterminate. Will i be back? No. Do I recommend you come here? Only if you're okay with that above do I say yes. Please note - I don't usually write such lengthy reviews, but food aside, this had to have been just about one of the worst dining experiences I've had in NYC.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.046311786; Sentiment_Subjectivity (from 0 to 1): 0.489551386 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not giving this place a 5 bc I know there is some amazing freakin' pizza in NYC and I've had some amazing freakin' pizza in NYC, but generally speaking, this place is really great! All the pizzas are amazing. They have really nice variety and you can even make your own. Not too pricey and not too crowded. They deliver too, which is nice. Though that can take longer that one would want, but I recommend you just go in person and have a pie. The place is legit!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.86875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like this place for a number of reasons. First off, the service is very kind and good. Very accommodating when it comes to seating their guests, even though they don't take reservations for parties under 6 people. The ambiance and detail to architecture inside is very fancy and pretty and the chandelier right in the middle is gorgeous. In regards to the food, I don't eat a lot of thai food, so i can't tell the difference between amazing and good, but i enjoyed my plate, which was an order of the room service pad thai. I also had one of their cocktails and the green tea ice cream. The cost is awesome. You'd think for a place so well decorated and popular, the food would be more expensive, but i think my plate was only 14 bucks, if that. I highly recommend coming here!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.356090226; Sentiment_Subjectivity (from 0 to 1): 0.637318296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A hidden gem near my place! After recently getting put on Indian food, came here bc of the good reviews. Really a nice looking restaurant with great service and good. My bf and I ordered the chicken curry and a lamb dish. Both spicy, but really good. We will definitely back!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.285833333; Sentiment_Subjectivity (from 0 to 1): 0.548333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lamb sandwich... mmm... eat here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/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: THERE ARE TWO LOCATIONS!!! MAke sure you go to the Bed Stuy one.  The Bed Stuy location is arguably better than the more famed spots in Manhattan.  I tried to go back and google lead me to the Bay Ridge location which is far larger and easier to get to but the sandwiches are not the same.  The Bed-Stuy location is much, much better.  Ugh..  was so disappointed but also relieved that the Bed-Stuy location still exists.  Will have to go back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.135; Sentiment_Subjectivity (from 0 to 1): 0.476388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 job out of college was around the corner and I would eat here when I had to work late.  There were no lines back then and most of their customers were cabbies.  Went back the other night for the first time in years and waited on line in freezing cold for 20 minutes hoping the food would somewhat match their hype.  It doesn't.  The flavors are toned down for tourists who are  now their main customers.  Sadly, from what I had the other night, these guys are easily near bottom of my Halal food truck list.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.041452991; Sentiment_Subjectivity (from 0 to 1): 0.426068376 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really wanted to like this place. I really did. This was my third visit. Make sure you get a reservation because the walk-ins during weekends are 60 to 90 minute waits. This restaurant does a lot of things right. Management of reservations and waits is effective, polite and even friendly.  The service was excellent. The menu is playful, interesting and smart. I like most things about this place. The food however is underwhelming for me. It's just ok. Friends and I have plunked down a lot of money here and I'm always left feeling unimpressed. Everyone else seems to love it here though. The chef's wife runs Xixa next door which I may try next.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.307026144; Sentiment_Subjectivity (from 0 to 1): 0.420961718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Totally great.  This place is markedly different from the white people doing authentic asian food spots that are opening up.  The dishes are earnest and most importantly taste right.  Casual, hipster ambience next to the beautiful Newtown Creek.  FYI, the Wester Beef store attached to its distribution center is right next door.  Hands down my favorite supermarket in NYC.  Best, freshest produce and a walk-in cooled meat department.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.25681606; Sentiment_Subjectivity (from 0 to 1): 0.483940243 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wish they had a better drinks menu beyond beer and cider but other than that this place is great!  Think Traif with Korean/Asian influenced menu and minus the hipsters. The chef worked at some fancy restaurants and opened up an earnest, honest place in Sunnyside of all places.  It's an odd spot since most restaurants in the vicinity are ethnic and/or no frills eateries but it works.  Their dishes are small, almost tapas style but thoughtful and services was great!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.335833333; Sentiment_Subjectivity (from 0 to 1): 0.5025 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in to check out their lobster rolls. I ordered the New England Lobster Roll.  The meats were a lot claw and knuckle and not much tail. Let's be honest, you're not supposed to be full when you go out for a lobster roll and ordering more than one may or may not make you feel like a pig. That said the order did come with fries and cole slaw. The space is cool, friendly and welcoming. The condiments including the ketchup a fancier, premium kind.  Lobsters are expensive and you get what you pay for.  Luke's lobster roll is mostly tail but it's also $20 a pop without the accoutrements plus their better quality lobster meat is a chilled in fridge temperature when it's served which is not as unpleasant as getting food poisoning but still unpleasant. I would definitely be back for happy hour.  Seems like that's where the action is at.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.181960227; Sentiment_Subjectivity (from 0 to 1): 0.584659091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 favorite bahn-mi spot I've had lately.  Small, dingy but the food is great!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A sane spot on crazy Berry St that's BYOB with a wine shop across the street.  The burgers are really good and their other dishes are up to par.  Had truffle burger and the jambalaya.  Both dericious!  Their spicy fries are great booze fodder.   The real thing that set this place apart is that the tables aren't squeezed together and you have breathing room with good, no frills food with prompt, attentive service.  In Williamsburg on a weekend night, that's a notable premium!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.33359375; Sentiment_Subjectivity (from 0 to 1): 0.615625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ordered the spinach pies. Not very good. Soggy. No real taste. Also got the artichoke chicken salad. Portion size was huge but chicken was dry     .; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.205982906; Sentiment_Subjectivity (from 0 to 1): 0.693589744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: overrated.  suckling pig had crispy skin but the meat just wasn't t hat good to me. ocotopus was ok. tripe ok. uvo egg...had better at sd26 where they shaved a lot of white truffle on it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.44; Sentiment_Subjectivity (from 0 to 1): 0.42 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nothing noteworthy.  Cauliflower wasn't anything special and a bit lemony. I liked the Israeli street food. Tuna tartare salad was way too lemony. Pappardelle was salty and had to be sent back. But new plate of it was Delish. Chicken was also moist and skin was crispy. Food here is not bad or good. Just alright. This is my second time here..first time was so in memorable.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.227056277; Sentiment_Subjectivity (from 0 to 1): 0.56029341 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! Everything was so fresh and tasty.   For starters we got the pretzel crusted calamari and the carrot and avocado salad.  The calamari tasted like your standard calamari but with a bit of an oomph to it. The carrot and avocado salad is a must! very light and the carrots had a big of a sweet glaze on it..soo good. For entree, I got the Crunchy Roasted Chatham Cod, Glazed Mushrooms with green chili and mint.   Cod was moist and flavorful and the green chili and mint was an intersting flavor. My friend got the clam pizza special and I think that was the best entree out of everyone's.  The crust was soooo thin! Wild Striped Bass with and herbs, baby market potatoes and spinach - this was my least favorite of the dishes. Slowly Cooked Arctic Char sweet and sour carrot sauce with basil - good. Dessert: Malted Milk Chocolate Ice Cream, white espresso and something else that i can't remember.  I like the malted milk choco one the best. There was also this other pear pudding that was the best.  It was light and fluffy.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.227005495; Sentiment_Subjectivity (from 0 to 1): 0.465631868 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 bought the Despana sandwich which has serrano ham slices, creamy goat cheese, and a tomato garlic spread. I liked the sandwich a lot but the bread was way too hard to bite into.  For about  $9, it' a bit pricey. Horchata drink was alright.  Didn't really get much of an almond taste from it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.177083333; Sentiment_Subjectivity (from 0 to 1): 0.435416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and friendly staff but found the food to be nothing special. The best thing we ordered was the goat cheese flatbread with caramelized onions. Tuna tartare was ordinary. My branzino was good but a bit salty. The best was the roasted chicken..crispy and great flavors. loved it. brussel sprouts were okay and mussels weren't that good. don't think i will be coming back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.556845238; 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: It is so cozy here, I love it.  I went here in the summer and recently in the fall.  I didn't enjoy it as much in the summer for obvious reasons. The steam from the hot pot was killing me. But it's nice to go here on a cold night.  I got the bibimbap and it was delicious, the best bibambap I've had in my short life on this earth.  And be careful, it really is hot...the waiter wasn't lying. My friends got the raw beef for shabu shabu...and that was really good too.  If you get the beef dish, it comes with red bean or green tea ice cream in the end. I also got the takoyaki appetizer, which was just alright, not as good as what you'd get at otafuku.   Also, do not get the cold green tea in the summer...it was really bad. I don't think they mixed it well, it was powdery.  I would definitely go back again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.113301282; Sentiment_Subjectivity (from 0 to 1): 0.526175214 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: as everyone knows, freaking crazy wait.  i think my friend put our names there at 6 pm and we didn't get seated until 7:45pm.  it's a super small place.  do not go in big groups. maybe a max of 3 people. loved the avo tuna appetizer!! it had bean sprouts, avocado, fresh tuna and yuzu juice and more stuff i can't remember. but really loved how fresh it tasted. Totto Chicken Paitan Rameng (these straight homemade noodles are cooked al dente style in a whole chicken and premium soy sauce based soup topped with scallion, onion, char siu pork, and a nori.)  i liked this dish but i have to say i do like ippudo's noodles a bit more than this place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.172222222; Sentiment_Subjectivity (from 0 to 1): 0.611111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's best to have a reservation here it is so packed! The oxtail marmalade is a definite..great texture. fried chicken entree - i like popeye's fried chicken more. i really just didn't enjoy it. service was a bit slow.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.085714286; Sentiment_Subjectivity (from 0 to 1): 0.542857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Friendly fast service.  The tomato avocado salad was refreshing on a summer's day.  The tuna tartare was meh..skip. I didn't like the chicken pot pie that much.  I thought the filling wasn't creamy enough. The mussels were a lot better!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.185714286; Sentiment_Subjectivity (from 0 to 1): 0.607142857 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AGHHHH!!! Fries that are fried to crunchy perfection with mango chutney sauce!! I spent the whole day dreaming about them. SO DAMN GOOD!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really liked this place. Came here around 730pm on a Friday. We placed our order and waited 15 min for a table to open up. Then we sat down and they brought us our food. I love the nutty buddy wrap and spicy mang. Mushroom one was good too. Love it. Craving some right now. Can't wait to go back !!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.303769841; Sentiment_Subjectivity (from 0 to 1): 0.490575397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 grabbed a table and then went to order and they brought the food to our table. Sangria was fresh and very good. I liked the philly cheese montaditos, salmon and cc. and didn't like the chorizo one that much. Meat platter was good and great value. Tuna salad had very little tuna. Will def be back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.40828125; Sentiment_Subjectivity (from 0 to 1): 0.535 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW. honestly one of the best tasting menus I've ever had.  Very light and great flavors.  The place doesn't feel stuffy at all and everyone is so nice there. I got the autumn tasting menu and had: Marinated Scallops Grapes and Verjus Lobster Salad Sunchokes and Apples Halibut Cauliflower, Cabbage and Caviar Duck Dumplings with Turnips and Black Kale Piedmontese Beef Roasted Roots Tasting Dessert The best was the lobster salad. Lobster was fresh and cooked so perfectly.  My other favorite is the duck dumplings. It tasted a bit like the soup dumplings from Shanghai restaurants. The tasting dessert, they give A LOT of small desserts to try. Macarons were soo good! If i can afford to eat here everyday I would.  Simply amazing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.410222222; Sentiment_Subjectivity (from 0 to 1): 0.664555556 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My fav. tapas place!  A bit on the pricey side but worth it.  Love the decor and great staff. Food was super tasty and on a Tuesday at 7:30 pm, place was slowly getting packed. By the time I left at 9, the place was full.   Recommended: manchego cheese plate. tastes so good with the tiny piece of fig they give. Cojonudo - Fried quail eggs and chorizo on toast Gambas al Ajillo - Shrimp, garlic and Guindilla pepper in olive oil Patatas Bravas - Crispy potatoes, salsa brava, roasted garlic allioli Croquetas Cremosas - Creamy croquettes; three each of mushroom and Serrano ham Albóndigas - Lamb meatballs, tomato sauce, sheep's milk cheese paella was alright and this duck special they had for the season was good too. Flan was alright, nothing special.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.341468254; Sentiment_Subjectivity (from 0 to 1): 0.492460317 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: a bit expensive for the portions.  but sushi and sashimi here is fresh. not a fan of the ordering system here.  if you want to order off the sushi and sashimi combo, they give you a separate list of what you can order.  they don't give you this list until you're giving your order to the waitress..so she's waiting for you to look over the list and decide. not very efficient. i can't remember everything i ordered. but i liked the fish bone chips and bass from the appetizers.  the eel and crab rolls were good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.141666667; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: my good friend took me here for my belated dinner and it was pretty good. intimate dining experience and the stuff was unique. chef was very nice and so was the staff.. i can't go into everything i ate. it was a lot of food and i liked most of my dishes. some were a miss for me. but i enjoyed it nonetheless.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.511666667; Sentiment_Subjectivity (from 0 to 1): 0.755555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here is EXCELLENT. It's also semi hidden.  I would've never noticed it, and if I hadn't met up with my friends to go, I would've def. gotten lost. It's a cozy place and for some reason, I didn't notice the stuffed animals on the walls, I was seated somewhere towards the back with disfigured pimply looking pumpkins. eww Anyway.  I had the cold oatmeal/cereal like appetizer...I forgot what it's called..it starts with an "m". And my best friend is not responding to my email fast enough to answer me what it's called.  It was my first time having such a dish, I'm such a noob in the world of dining. But it was really fresh and tasted light and good. The best dish was the skillet eggs.  SOOO much flavor.  It's this skillet with cheese, eggs, bacon and some veggies in it. I didn't think this place was that expensive either..but that's what I say about a lot of places caz I'm a mudda effin baller. keeding.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.210784314; Sentiment_Subjectivity (from 0 to 1): 0.518627451 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I like the space. Relaxing and not packed as they like to keep it at 60% full. Love the art hanging on the walls. Great service. Got the tasting menu. Raw veggies fondue was good. Branzino with roasted veggies was cooked perfectly. Uni croquette was creamy and delicious. I loved the tofu panda cotta with honey. Light and not too sweet. The burger slider was perfectly cooked. We got foie gras soba on the side and I liked it the best. Will def be back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.583516484; Sentiment_Subjectivity (from 0 to 1): 0.657967033 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ordered the artichoke slice and while I loved the creamy cheese and artichoke, I found the crust to be too thick and a bit soggy on some parts...so I was a bit disappointed. There's a bit of a line when I went but it moves fast.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.0375; Sentiment_Subjectivity (from 0 to 1): 0.65625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very nice and relaxing tea place.  Each day of the week, there's a dish of the day that's on the menu, that you can only order.  Today, a Sunday, we had the eel with rice and eggs and some pickles with tea for $10.  It was worth it and very delicious.  But the eel pieces are kind of small.  There's other stuff you can order from the menu that comes as a set, such as 2 sandwiches, with dessert, tea and other stuff. I highly recommend the earl grey chocolate mochi!! Our waitress was very nice, she didn't rush us.  I will be coming back here again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.233990385; Sentiment_Subjectivity (from 0 to 1): 0.560769231 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently went back and was delighted to see that they had expanded. Love the friendly service and space.  Food was so good.  Get the meatballs and schnitzel. I really liked the Eliminator (gin, elderflower, lemon, doppel bock) cocktail!! I havent drank in awhile so I was very happy to be welcomd back into the drinking world with such a delish cocktail.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.42125; Sentiment_Subjectivity (from 0 to 1): 0.495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 made a reservation for 7:30 pm on a Tuesday night and this place was already packed when I went in.  It's a very small place, maybe a total of a 8 tables or so. So it's best to make a reservation. The service was very friendly and fast. For appetizers, we got the escargot - nothing too special but the sauce it came with is good for dipping bread.  But the goat cheese tartlette was soo savory and combined with the salad on the side, it was perfection.  It was a wee bit too salty but my friend thought it was just right. For entrees the hangar steak - cooked just right and I think they put a lot of parsley on top but it tasted really good. The duck - i LOVED this dish.  It was a good portion and the sauce is ridiculously good. I wish I was eating it right now for lunch! These come with a side of 4 vegetables that are mashed up like baby food.  There was 2 slices of pineapple, mashed potato, carrots and cauliflowers.  I stayed away from the cauliflower, that was weird.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.384263393; Sentiment_Subjectivity (from 0 to 1): 0.606160714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was Soo good! Get Spring rolls Octopus. The bits of meat on it are so good. Brussels sprouts Rice Corn Pig for two !! Love the spicy peanut noodles!! The fried Chinese beignets were ok. It was basically fried montao. Will def be coming back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.526041667; Sentiment_Subjectivity (from 0 to 1): 0.383333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So delicious! Got the rotisserie chicken and roasted sweet potatoes. Also got chocolate bar with figs. Yes it can be a bit pricey but it's healthy!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3828125; Sentiment_Subjectivity (from 0 to 1): 0.775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yummy! On a Saturday around 1230 place was 80 percent full. The salmon with goat cheese, avocado and truffle oil was so delicious!! And I like the Nutella and strawberry crepe. Affordable and delicious. Will be back. Friendly staff.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.545; Sentiment_Subjectivity (from 0 to 1): 0.61 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first went here with my friends for a live jazz band playing. I absolutely LOVE this place. I wouldn't recommend going here if you want to catch up with friends during a jazz playing as you can't really talk.  They have upstairs and downstairs seating, and the jazz band plays downstairs. The drinks were fantastic and the food and dessert were excellent.  I got one of the panini sandwiches (I forgot which one) and thought it was made well and the tiramisu my friend got was decadent. I highly recommend the tiramisu here. Also, I tried some of my friend's lasagna and that was superb. I am actually looking forward to going there sometime soon for a taste of that tiramisu and lasagna again. It's also not that pricy either, so that's a plus.  The atmosphere is fun and the staff's friendly.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.39285124; Sentiment_Subjectivity (from 0 to 1): 0.533939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Tuesday night around 7:30 pm and the place was packed. Luckily, we got seated fairly quickly b/c it was just me and my friend.  There's no reservations on Tuesdays, I guess it's because tapas are half off. Croquetas de Cangrejo (Pan seared crab cakes. Served w/ mango Jalapeno salsa, w/ mixed greens) was delicious! Camaroncoco (Coconut crusted baby shrimp w/ passion fruit chipotle aioli) - nothing special.  It was just fried shrimp with no special flavors. Tapas Mixtas which came with : Guacamole/ Pico de Galo/ Sweet Plantain/ Empanada/ Quesadilla de champignon/ Bolinhos de pescado. -This dish isn't half off though.  Guacomole and sweet plantain were the only memorable things to this.  I would say skip it. Drinks were also on special and they make it fairly strong.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.250170068; Sentiment_Subjectivity (from 0 to 1): 0.618877551 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On a cold night, a bowl of ramen from here definitely hits the spot.  I can't remember the name of what I got, but I just know that I REALLY enjoyed it.  I'm not a ramen fan but this place definitely turned me into one.   The pork slices were so tender. the broth was not that oily. just delicious!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.18; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ordered delivery and it came fairly fast.  I got the miso salmon with brown rice and it comes with a smal salad. the miso glaze was good and salmon was fresh.  i like this place b/c it's healthy and it's fairly priced.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.48; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't know what the hype for this place is. Honestly, it's just alright in my book.  The xiao long baos weren't even memorable for me, and didn't leave me craving for more.  I think Shanghai cafe is a lot better than this place.  Of the dishes I've ordered here, none of them left me wanting more.   I got the scallion pancakes, and they were alright. The soup dumplings (xiao long bao) were just ok....maybe it's the skin.  It was thick compared to other places I've had them.  meh...I don't even feel like describing anything else...it was just ok.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.234090909; Sentiment_Subjectivity (from 0 to 1): 0.504545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 liked the food here.  While it wasn't anythign that blew my mind, I still liked the food and drinks here. For starters: Grilled kangaroo on a coriander falafel with lemon tahini sauce and green pepper relish -  it wasn't gamey and tasted like steak so def. try it. Fried Hama Hama oysters with shiso, sansho pepper, and wasabi-yuzu dipping sauce - i liked this one the best.  the sauce paired with the fried oysters perfectly. entrees: Pan-seared Tasmanian sea trout on a salad of fennel, green apple and pistachio with preserved lemon yogurt and fennel pollen - trout was moist and crispy and had great flavor. Polenta and aleppo crusted cod with a smoked corn and barley risotto, and truffle-huitlacoche vinaigrette - cod was good. not crazy about the risotto. Dessert: Sticky toffee pudding with Armagnac ice cream and hot caramel sauce - wayyyyy tooooo sweet. did not like at all. Kiwi Crush 42 Below vodka, muddled kiwi fruit, lime juice, and a soda top - good drink.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.653571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The rating's more of a 3.5 stars, while I think the food was good, I didn't think it was memorable or the best Italian food I've ever had. it's best to have a reservation b/c this place was packed at 7pm on a Monday. For appetizers: Gnocco Fritto - (Fried Puffy Dough Rectangles with imported cold cuts or stracchino cheese.)   We opted for the cheese and while it was very light and fluffy, I didn't think it was anything amazing.  A bit on the bland side.  But we wrapped it with the proscuitto from one of our other appetizers and that helped to give it a lot more taste. Radicchio Alla Griglia In Coperta (grilled radicchio under a blanket of prosciutto and pecorino cheese) - I didn't really like this dish that much and that's b/c I'm not a fan of bitter food...so that's just me.   Fegatini Con Aceto Balsamico (chicken liver deglazed with aged balsamic vinegar) - we thought this was a pate but nope...it's actual liver pieces.  So skip on this one. Entrees: Tagliolini Ai Frutti Di Mare (with clams, mussels, calamari and shrimps sauteed in garlic, extra-virgin olive oil and lite tomato sauce) - A very hearty portion and the pasta and everything was cooked perfectly. Lasgna -  just the right portion of sauce, meat and everything.  While I loved the lasgna, it is not the best that I've ever had. Stracetti Di Manzo pan-seared thin slice of filet mignon with rosemary-  I liked the potatoes on the dish more than the meat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.285705467; Sentiment_Subjectivity (from 0 to 1): 0.557557319 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: vegetable pancake is the best out of everything i think!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was packed on  a Friday night but we were able to grab some tables.  Food was alright.. Peanut bacon brittle wasn't anything special to me.  Didn't get much bacon flavor. Collard greens - okay. Fried chicken - I like the salad it came with more.  Nice crispy skin though. My favorite was the roasted duck gumbo! Servers were nice there and not rushing us.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.36468254; Sentiment_Subjectivity (from 0 to 1): 0.70515873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was full on a Tuesday at 7pm.. Best to get a reservation. The meatballs were good and the buffalo mozz salad was alright..nothing special. Stracci - pasta rags, braised wild mushrooms, rosemary oil was my favorite. Super good and fresh pasta. Olive oil cake was good for dessert.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.504047619; Sentiment_Subjectivity (from 0 to 1): 0.578809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 beef rib was fantastic and everything here is good value.  Usually pretty packed when I come here so I just go to the takeout side to order food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.45; 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: For appetizers, we got the chicken lollipops. pretty good. but basically boneless buffalo wings on a stick. i got the bash style burger and i liked it but nothing amazing. the onion rings were way too big. pretty decent place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.245833333; Sentiment_Subjectivity (from 0 to 1): 0.752083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here with my super cool sister b/c she said she wanted to get some corn.  I was like...ok..whack..it's just corn, how good can it be? So she got one and I took a bite and I lovers it!!!  Everyone must go and try it!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.561111111; 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: Six bucks for such a big portion of lamb and rice is worth it...but it's not sooo awesome that I would be willing to wait on a long line for it. This place is no doubt good, considering when I went here in the pouring rain, it was about a 20 minute wait to get my food.  The last few times I've been there, there are 2 carts that are across the street from each other.  I hear different things about this.  Some say that after 5 pm, they alternate corners or they're the same thing or some say they are completely different and you have to look at the plastic bag it comes in. I am not so in love with it that I would keep going back and forth between the 2 carts to check out the specs ...but unfortunately my pal is, so we did that in the pouring rain for a good 5 minutes..god i hate you a. tam if you are reading this. jk..please still be my friend.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.093421053; Sentiment_Subjectivity (from 0 to 1): 0.442982456 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 would give this place 4 stars if not for the service. We waited 30 minutes to place our orders. There were no waiters or waitresses to be found. And one of them was a bit mean. Food's yummy. Get: Grilled Miso Black Cod TONTON Salad Okonomi-Yaki Pan Cake Garlic Fried Rice (MUST!!) Himi's Famous Homemade Gyoza We tried the pig's feet. Very gelatinous..not really my thing. The hotpot was a bit too salty (forgot which one) and in the end they cook noodles with the leftover broth with your choice of sesame seeds or chives.  It was sorta bitter with the sesame seeds.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.037847222; Sentiment_Subjectivity (from 0 to 1): 0.520138889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Simply amazing.  Great fresh flavors.  I came here on Wednesday around 7:30 pm and the place was 90% full.  It's a small place and by 8pm, the place was full so we had to wait about 15 minutes.  The staff here are really nice. For appetizers we got the bone marrow which I recommend as it's very rich and tastes great as a spread on bread.  We also got the tomato tart to share and since heirloom tomatoes were in season, the dish tasted very fresh. For entrees we got the pork hock with arugula.  Arugula was a bit too salty and pork hock was good but got to be a bit dry at times. For sides the summer stuffing with corn and tarragon was a pass for me.  i just didn't like the sweet flavor of it.  A MUST is the brussel sprouts.  I hate brussel sprouts but this dish didn't taste too much like it. And with some srircha in it, it gave it an oomph.   For dessert, we got the upside down peach something.  While good, i wasn't crazy about it. not too sweet though so that's a plus. will def. be back to try out more of their stuff!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.27287037; Sentiment_Subjectivity (from 0 to 1): 0.61494709 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 kimpuri ? Salad was soon good. A bit salty at times. But great texture and flavor! Good shrimp teriyaki balls. Great curry!! Just that I think the food has msg. And makes my mouth dry.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.666666667; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While I don't think it's the best pizza I've ever had, I still think it was pretty good.  On a Wednesday night around 7:30 pm the place was about 80% full. My friend and I got the large Salsiccia (tomato sauce, mozzarella, sausage, basil).  Delicious but needed a bit more cheese.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.573469388; Sentiment_Subjectivity (from 0 to 1): 0.625510204 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here at 9 pm and place was pretty packed.  The food's pretty good. I didn't like the glazed-confit chicken wings, hoisin, five spice, sriracha.  Way too salty. Didn't feel like the flavors really meld togehter well. Get: bacon doughnuts bellflower pasta, italian sausage, roasted piquillo peppers, torn basil - favorite seared foie, fingerlings, ham chips, sunny egg, maple, hot sauce scallops; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.19375; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The dumpling skin is a lot thinner than Vanessa's! Mine was kinda burnt but despite that it had good taste. And the sesame pancake with veggie filling had great flavor and had a bit of a spicy kick! Super cheap!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.664583333; Sentiment_Subjectivity (from 0 to 1): 0.679166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: super fast delivery! yayy!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.322916667; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i got the dumpling noodle soup here.  they gave me about 4 dumplings and a lot of the noodles. good broth and noodles.  not mind blowing good, but solid.  it's cheap and they get it ready super fast!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.369047619; Sentiment_Subjectivity (from 0 to 1): 0.538095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was pretty packed at 9 pm on a Tuesday night.  I think the tables to sit at to eat were all full.   I think this place is somewhat confusing....no one had any idea where to pay.   I went to the chocolate counter and bought a piece of each chocolate (about 1/2 pound for $23).  The lady helping me out was super nice but the one piece of dark chocolate I had, really was not that good.  It was soooo sweet. Everything is super pricey here, so I don't think I'll be returning to buy their stuff.  Maybe to try the food though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.32962963; Sentiment_Subjectivity (from 0 to 1): 0.637037037 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just had the food here..AMAZING! fried chickpeas make for great bar food. french onion soup - loved it.; Max_Daily_Reviews: 3; 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: I went here at night after dinner and got steamed milk with almonds.  I love the scent of almonds in my drinks and this drink did not disappoint at all.  I also got this chocolate cake with chocolate liquid in the middle and my friend orgasmed over it. keeeding.  but it was just sooooooooooo decadent!!   Our waitress was also very very nice.  I went here at around 9 ish and it's not as packed.  A very great place to just sit down and catch up with friends!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.417111111; Sentiment_Subjectivity (from 0 to 1): 0.572777778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not a big fan of seafood but this place has converted me. LOVE IT HERE.  Catfish is really good...definitely get it .  I just love the sauce the shrimp and crawfish came in. I am definitely coming back with my fam.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.333333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friends loved it here but I guess the food just wasn't really my type of food.   Appetizers: we got the pork belly to share and that was crispy and juicy. the bed of veggies were delicious. entrees: Kare Kare oxtails braised in peanut butter with long beans, batchoy, eggplant - the best one out of the meal. but i'm usually not a big oxtail fan so maybe that's why i wasn't amazed like my friends. Chicken adobo - moist chicken but wasn't crazy abotu the sauce...a bit too sour.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.09; 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: love this place. cheap and tasty. i got the meatball hand pulled noodles. pan fried dumplings were alright....much better elsewhere.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars. I'm not wowed by this place.  I don't think they have the best burgers.  But I like the chill vibe and the friendly waitress. The burgers are cheap and good.  I haven't tried the guiness shake yet though...must do it next time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.495; Sentiment_Subjectivity (from 0 to 1): 0.42 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was ok. 20$ minimum per person. I ordered a bunch of small dishes that def added up to 20pp.  But waitress wanted us to order an entree. So weird. So we got the wagyu beef which was good. Good : uni Kobu yaki. So good. Shrimp Sumai. Okay: dragon fish. Asparagus with white fish paste. No: the Japanese pasta. Sooo salty. Yuba gyoza. Sit at the counter where they prepare the food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.261111111; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for RW and for $35 they give you a lot...two appetizers, 1 entree and 1 dessert.  They also give you fresh pita! Appetizers: Mouhamara - I liked this. It had a bit of a sweet nutty taste to it. good on pita. Moujadara - our least favorite.  it had a weird pickle taste to it. Sweet Corn & Cheese - yummy Warm Eggplant - our favorite of the night. they give you A LOT and it was soo tasty! Entrees: cod - fish was tender but way too salty. skate - fried to dryness. and it was kind of hard. Dessert: ilili Candy Bar - soo chocolatey and good.  The crust is the best part.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.379166667; Sentiment_Subjectivity (from 0 to 1): 0.681547619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: UHHH...what the hell? really yelp? 4 stars? you guys really let me down on this one. Service was okay...not the best.  The guy didn't even give us our menus, we had to ask another waiter to bring them to us.  that's just plain stupid. This place was recommended by an Italian friend, that's the only reason I decided to try it. We ordered 3 appetizers: calamari - no flavor. sauce was kinda watered down or something. just blah.   breaded figs - nothing special. Portobello Grigliato grilled portobello, melted fontina cheese - the ONLY good dish...and that's probably b/c they put a crapload of cheese on it. Entrees: Gamberoni Oreganate shrimp stuffed with herbed bread crumbs in white wine and fresh tomato served over linguine pasta - not good at all.  My sister took 3 bites and was done.   The whatever veal special my dad got was decent.  I really liked it b/c I thought it was cooked very well.  But my dad thought it was meh. The wahtever lamb special my mom got, she hated it b/c there wasn't much flavor. I got the eggplant ravioli and I didn't like it but that's my fault b/c I totally forgot that the italian eggplants are bitter.  So yea..don't order this unless you're into bitter food. And there was another fettucine dish that was order that I didn't even bother to remember the name of. Dessert: Mascarpone cheese fruit tart was really good! But the crust was really hard to cut through. It's so expensive here...the bill for 3 appetizers, 5 entrees and 1 dessert  was $217.  For such a mediocre meal, $217 is a lot of money.    I have absolutely NO problem paying that amount of money as long as everyone is happy with their meals, but 2 out of 7 dishes that we all liked...that's just sad.  I felt sooo bad for taking my family here to celebrate my sister's graduation.   just horrible...stay away!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.02002866; Sentiment_Subjectivity (from 0 to 1): 0.54928351 [/INST] Not Spam</s>