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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: Reading back on my old review, I feel like an asshole. Mamoun's is awesome. I don't know what I was thinking. I think comparing Taim and Mamoun's is unfair because they are two different animals. Mamoun's is cheap, easy and fast. Frankly, it's actually pretty good for $2. What can you really buy in New York (ok Chinatown doesn't really count) that's filling, piping hot and yummy for 3 bucks? Taim's falafel is amazing, but it's also more than twice as expensive. They're just not really in the same category. Also, Mamoun's gets bonus points for being open late and having great lentil soup. And that hot sauce - holy crap! It is so freaking hot. A few droplets is all you ever need. Forgive me Mamoun's for wronging you.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.154433221; Sentiment_Subjectivity (from 0 to 1): 0.57825477 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfectly browned and buttery soft hot dog bun. Slightly mayo-ed fresh chunks of lobster, bursting out of said bun (New England style). Sometimes simple really does win out. This is one of those times. The lobster rolls are only $13 which is a pretty ridiculous bargain in New York. It certainly isn't as big as, say, a Pearl Oyster Bar lobster roll but then again, it isn't $28 or whatever M.P. is (plus tip and tax and a 45 minute wait). I would be lying if I didn't admit that I wanted to eat a second one as soon as I scarfed down the first. What can I say? I'm a gluttonous little lady.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.143315095; Sentiment_Subjectivity (from 0 to 1): 0.497506814 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch here is pretty good - sit in the back garden area if the weather is nice.  I had poached eggs with heirloom tomatoes, only the tomatoes clearly were not heirloom - more like grape or cherry. Still, the dish was pretty good. I've been here for drinks as well and I don't remember what day of the week it was but it was way too crowded. I think it's so random that they have a psychic up front but I guess it's a good idea? Drunk psychic readings? Sure, why not.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.253846154; Sentiment_Subjectivity (from 0 to 1): 0.697863248 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to admit that I was a little skeptical of Joe's Shanghai at first. I walked up and there were about 10 tourists waiting to eat here (OK OK and there were lots of white people inside which I generally take to a be a "this is not authentic asian" sign). After waiting about 10 minutes, my friend and I were sat at a communal table with 4 other diners. I'm actually kind of glad we shared a table because the people next to us got this awesome looking fish dish which we also ordered. It was a steamed sea bass with ginger and green onions. The fish was really tender and flavorful. Good dish. We also ordered the pork and crab soup dumplings (shao long bao) and they were good. They certainly weren't the best I've ever had but definitely in the "better" category of the many I've sampled in Manhattan's Chinatown. Flushing is a whole other ballgame obviously. We weren't really all that hungry so we ordered soup - mustard greens with pork. It was decent - not all that exciting, but it was light if that's what you're going for. The server was surprisingly friendly and actually gave me another Chinese restaurant recommendation (I think it was because I spoke Mandarin with him?) 15% gratuity is included in the bill. You pay up at the front and get shooed out for the next customers. Summary? It's cheap and hits the spot.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.20725547; Sentiment_Subjectivity (from 0 to 1): 0.453281853 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute little place - a lot of bang for your buck. The waitstaff was really friendly - from the hostess to our server to the manager - I was very impressed. The bread and olive oil to start the meal was surprisingly good. The gnocco fritto with cured meats was yummy (the cheese isn't as good in my opinion. It's a pretty stinky cheese and while I'm generally not averse to that, I just wasn't into theirs). I ordered the tagliatelle with bolognese sauce and it was really hearty and tasty. My friend had the pasta dish that came with sausage and peppers - also very yummy. We ended the meal with tiramisu, which was incredibly rich but great. By and large, a cozy little spot for some homey Italian food. Update: I come here all the time now and am never disappointed. The chicken is reallly good and so are the sausages. I have liked all the pastas I've tried, save the ravioli (you only get like 4 of them and it's just kinda unsatisfying). If you like artichokes, the artichoke salad is really fantastic. Cash only, oftentimes a wait. P.S. The two lady servers have the cutest Eastern European (Ukrainian I believe) accents.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.257886905; Sentiment_Subjectivity (from 0 to 1): 0.64077381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pepe Giallo is something between 2 and 3 stars but I'm trying to give it the benefit of the doubt. It seems to be part of the Pepe Rosso To Go (Soho) and Pepe Verde (East Village) restaurants. I have to say I much prefer Pepe Rosso To Go. I ordered the veggie ravioli in bolognese sauce (somewhat ironic, I know) and the pasta was totally undercooked. It wasn't al dente, it was plain chewy on the edges of the ravioli. The bolognese was really greasy too. I like that they give you bread and some olives + olive oil but the bread was pretty mediocre. Garden or no garden, if the food isn't solid, it really doesn't matter how lovely it is.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.083571429; Sentiment_Subjectivity (from 0 to 1): 0.545714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Does Lombardi's really need a zillionth review? Sure it does! So hyped but good. You can't go wrong. It's the perfect ratio of crispiness to chewiness. The only thing I have to bitch about is the omnipresent line of tourists. Get out of here, fanny pack! It's one thing to crowd the streets and stop dead in your tracks at every store window but it's another to make the wait at Lombardi's super long. Sigh.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.234259259; Sentiment_Subjectivity (from 0 to 1): 0.672839506 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favorite Italian restaurant in Williamsburg. I absolutely love the garden patio in the back. It's a great place to have a quiet conversation on a warm summer night. The interior of the restaurant is very rustic but it feels nice and cozy, which I love. I've always thoroughly enjoyed my meals here. The menu is relatively simple - they usually have a couple specials - pretty solid. Sometimes the servers or bartenders can have annoying Euro attitudes but I can definitely put up with it for some yummy food and wine. Quick aside, avoid their sister restaurant D.O.C. Wine Bar at all costs. I had THE worst experience there.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.126666667; Sentiment_Subjectivity (from 0 to 1): 0.56202381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lupa is my probably my favorite Italian restaurant in the city. The pasta is divine. My favorite dish is the 'bucatini al'amatriciana'. So good. Really. I know that everyone has a hard-on for bacon, I mean, who doesn't but this dish has guanciale, which is unsmoked piggy jowl, aka bacon, plus tomato sauce and some delicate onions. The pasta is cooked perfect - very much al dente, so toothy. I also love splitting the escarole, red onion, pecorino and walnut salad. Don't get it for yourself only - it's really quite large - definitely made for splitting. Lastly, all of the pesce antipasti are to-die-for (my favorites are the sardines and the baccala). Even if there's always a wait, I'm telling you, it's worth it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.221281513; Sentiment_Subjectivity (from 0 to 1): 0.502514006 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 overrated pizza place. Luzzo's pizza is just alright. I find it to be somewhat bland. I usually like to order at least one margherita-style pizza since that sort of sets the bar. This one was umm, just OK. I recommend Gruppo, just a few blocks away.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): -0.083333333; Sentiment_Subjectivity (from 0 to 1): 0.416666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious falafel in a tiny space. How do they do it? I had the harissa falafel and it was a very generous portion. I had a hard time finishing it but it was so yummy I thought it'd be a crime to waste any of it. It was way too cold to try a smoothie but if it's as good as the falafel, I'll have to drop in when it's a bit warmer to try one.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.11547619; Sentiment_Subjectivity (from 0 to 1): 0.563095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm a huge fan of this place. I always get the spicy beef noodle soup and an order of steamed dumplings. I love plopping the pickled mustard greens and always add a fried egg.  You know, just 'cuz. I think I like the yelling. Plus, the lady that is usually working the front kind of loves me because I speak Chinese. I think that the hole-in-the-wall-y-ness is appealing to me. Everything doesn't always have to be so fancypants to be good. Plus, it's cheap as hell. What do you expect, a tufted satin chaise?; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.35625; Sentiment_Subjectivity (from 0 to 1): 0.55625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sandwiches. Clearly one of God's gifts to man. You can stick practically anything between good bread and I'll be up for it. In this case, coconut tiger shrimp. I didn't think the shrimp had an overwhelming coconut taste but they were still nice and meaty. It had a nice balance of trimmings (pickled veggies and cilantro) and condiments but I think my favorite part was the Parisi Bakery baguette. The only thing that makes the sandwich better, besides maybe more shrimp, is a generous dousing of Sriracha sauce. I sat upstairs and while it was nice to have somewhere to plop down, the ventilation was atrocious. It was smoky as all hell up there. I recommend just bringing your sando to Union Square. Looking forward to trying to the meatball or pulled pork next time...; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.288034188; Sentiment_Subjectivity (from 0 to 1): 0.713247863 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think banh mi sandwiches are on my top 10 list of favorite foods. With that said, I think that New York is sort of lacking in really amazing ones. I have tried all the usual suspects - Nicky's, Banhi Mi Saigon, Banhi Mi So, etc. and while they're all good, none of them are mind-blowing. Out of all the ones I've had in NY though I think Hanco's is my favorite (but I'm still searching). Quick note - the people that own and run this place are Cantonese, not Vietnamese. I'm not sure how much that matters but I thought it was worth pointing out. I always find it a little strange but I guess it doesn't really matter? I've had both the pork (classic) and the tofu and they both had their merits. The tofu one is way better than any vegetarian banh mi sammie I've had at other places. They use firmish tofu instead of tofu skins so it tastes more substantial. The pork one was really flavorful - the pork was kind of crumbly - I don't know how else to describe it but the important thing is that it was good. One of the good things about Hanco's banh mis is the bread. It doesn't rip  up the roof of your mouth.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.311410985; Sentiment_Subjectivity (from 0 to 1): 0.545212542 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Thai food I've had in New York. I haven't been to *every* Thai restaurant in New York, not even close, but I did live in Thailand when I was younger and I've eaten my fair share of great Thai. Suffice to say, Sripraphai is worth the trek out to Queens from Manhattan or Brooklyn or wherever you live. The menu, as others have noted, is pretty intense. It includes those typical unappetizing point-and-shoot photos that almost all cheesy Asian restaurants display in windows. It almost makes you think, were they trying AT ALL? Would it have killed them to make the food look delicious? Delicious-ish? I guess it's kind of nice to have pictures though, I mean they are helpful in some ways if you're unfamiliar with Thai food, besides the usual pad thai and curries and what not. My favorites are: - Fried soft shell crab w/ green papaya salad - when soft shell crab is in season, I can't think of a better chunk of crispy fried shellfish to shove in my mouth. The contrast of the hot, crispy crab with the tart and tangy papaya salad - wow! - Any of the whole fish entrees, steamed or fried, are awesome. I'm from that school that enjoys having the whole fish brought out. That's how it was done when I was growing up and I think it's fun having to filet it yourself. It's like a little adventure, plus I get all excited when I get an especially chunky piece with no bones. Also, I'm a fish eyeball eater. Kinda gross, I know. - Green curry - ask for some Japanese eggplant if they have it - they act as a wonderful little semi-porous, semi-crunchy veggie sponge. I love spooning the spicy curry over my rice. Yummmm. - Spicy stir-fried watercress - I am a huge Chinese watercress fan. I love that it tastes kind of like spinach but has that nice crunch because of the hollow "hearts". it's also a good way to get something more healthy into your meal - it's quite a light dish and cuts through a lot of the heavier, spicier dishes. - Coconut rice is a must. My only gripes, if you can call it that is that they are usually a little too heavy handed with the lime on the larb. Other than that, I've never been disappointed with my food. Also, they run out of mango & sticky rice really easily, so if you want it, say something when you're ordering the entrees! If you're not lucky enough to snag a serving, or if you're in the mood for something more adventurous, there are two fridges up at the entrance with random Thai desserts - pumpkin custard, coconut pudding, various rice-based "cakes" - you know the drill. I'm not sure why people are complaining about the service? I've always had great service. All you need to do is know how to say like 3 things in Thai and they'll be on you like bees on honey!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.189121686; Sentiment_Subjectivity (from 0 to 1): 0.584017914 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nowhere near as good as Super Taste. The broth can't even compare. I got the hand pulled noodles - I wish they'd let you add your own pickled mustard greens. I don't think they put enough in. It's nice to have the cilantro jar but most of it was stems anyway. The noodles had a thicker skin than I'd like; again, these are much much better and more delicate at Super Taste. It's definitely on the cleaner side which is nice if you're taking someone who's a little squeamish to ghetto Asian places but overall, the food just isn't as good.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.292892157; Sentiment_Subjectivity (from 0 to 1): 0.578431373 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was really excited to try this place out since I'm a Carmellini fan and it was really really awesome. First of all, the space is gorgeous. It reminds me of a more polished Balthazar -  rustic Italian flare mixed with an industrial loft feel. When I walked in, it was absolutely bustling. Clearly, the word is out. The customers are a mix of out-of-towners (it is in a hotel, after all) and well-heeled (I know, cringe. I'm sorry I can't think of a better term) New Yorkers. My experience with the hostess was a wonderful one. I retardedly thought I had dinner plans with a friend and her boyfriend, only to find out later that it was for the following Friday. With that said, the hostess was extremely accomodating and friendly. She put my friend and I down on the waitlist and we were seated within a very reasonable amount of time. It was a gorgeous evening and the doors on the side of the building were open, allowing a beautiful breeze to carry through the dining area. The wine list is pretty reasonable - most bottles are in the vicinity of 40-70 bucks and just a few triple digit bottles. The menu is split up between piccolini, antipasti, primi and secondi. We tried the sheep's milk ricotta piccolini and I must say it was quite possibly THE most amazing ricotta I've ever had. It was spiked with fresh herbs and olive oil and was accompanied by perfectly grilled, buttery slices of bread. I'm still dreaming about it, seriously. From the antipasti section, we tried the king prawns with sweet peppers and citrus. This was also a pretty good dish - the prawns came head on and were really juicy. We split a homemade farfalle dish with clams and chorizo and it was probably the least liked dish of the evening. It's not that it was bad by any means, it just didn't pack as much punch as the other dishes. However, I must say that the farfalle was obviously expertly made/cooked and reminded me that I need to eat more fresh, homemade pasta. As for the secondi, I had the grilled bass with zucchini and shrimp scampi. It was perfectly cooked with a nice charred crispy skin while staying moist and flakey on the inside. Awesome. It definitely wasn't one of those times where I regretted picking a fish dish over a pork or steak dish, which frankly, happens more than it should. I was too full to try dessert but there was a panna cotta that caught my eye. Next time I'm definitely getting it, after I stuff my face with that ricotta dish again. Yum. It just further justifies the fact that I could happily subsist on breads and cheeses for all of eternity.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.250131136; Sentiment_Subjectivity (from 0 to 1): 0.614884813 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 feel like whenever people give Asian food reviews they always have to prove their worthiness or food pedigree, ie. I lived in Hong Kong for 6 months, I am from San Jose, my best friend is Asian, I eat out a lot, etc. So here's mine. I'm half Chinese and I lived in Asia for 10 years. So there. Noodle Village is pretty good. I went there with a dumpling lover friend so that's pretty much all we had. Breakdown: Soup dumplings = ehhh B at best. The skin was nice and tender and tasted fresh but they were sort of deflated. Steamed pork dumplings = B+ These reminded me of the ones that my mom makes (and by that I mean the dining table assembly line that she forced me to help her with for hours on end as I grew up). Shrimp dumping soup = A- These dumplings were stuffed to the brim and they had huge chunks of shrimp in them. Yum! The broth wasn't very flavorful but if you add a little hot sauce it'll do. Chinese broccoli w/ housin = C I liked this dish, I mean, it's just steamed Chinese broccoli but it was a tiny portion and the amount of hoisin that came with was even tinier. Overall I was happy with our food so I'll definitely give it a go again and try some other dishes. The request for best soup dumplings continues...; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.223065476; Sentiment_Subjectivity (from 0 to 1): 0.452380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the perfect neighborhood restaurant for taking out-of-town guests or a nice quiet night of grazing and catching up with friends. The atmosphere is very romantic and cozy; it makes you want to stay there all night long. The hostess was incredibly friendly. We walked in, put our name in and waited at Blue Ribbon Wine Bar for about 20 mins. It's nice when restaurants take your phone number so you're not a slave to the waiting area or standing out front. The food was delicious. Listen to everyone and get the gnocchi appetizer. It was heavenly. We also got the calamari, which was pretty darn good too. The only comment I have for it is that the avocado slices seemed kind of out of place. However, I'm happy to eat extra avo whenever so it was welcomed if not random. I ordered the swordfish for my entree. It was perfectly cooked. Sometimes swordfish can get a little dry but this was just right. The corn salad reminded me of the calamari a bit because of the avocado but it was still very tasty. I don't remember what we had for dessert but seeing as the rest of the experience was so positive, I'm sure it was divine. Highly recommend Market Table - it's great food in a cute West Village setting with great service.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.370476564; Sentiment_Subjectivity (from 0 to 1): 0.694599691 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Homemade fennel sausage! Sausages made in-house. Yes, really. They make their own sausage. With fennel! Get the homemade fennel sausage sandwich with cheese and salsa. It comes on a grilled baguette - they even cut the top of the baguette off so that when you bite into it, you don't cut or scrape the roof of your mouth. I personally think that's a nice little touch. The roasted chicken salad is also really good. It comes with some variety of nut (slivered almonds?), little orange slices and pecorino. Very good and seems to be good for you too. They also serve breakfast until 4pm which is good for egg lovers. Most importantly, this place didn't used to serve hard booze but they do now. Yay! Real caipirinhas!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.304401042; Sentiment_Subjectivity (from 0 to 1): 0.616979167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very pretty space but I agree with the other reviewers - service can take close to forever, which is silly because it's never that busy in here. It has the same feel as Blackbird, further down Bedford and surprise surprise, the same animal-related name, conjuring up the whole rustic meets hipster meets bohemian vibe. With that said, the pastries are pretty awesome. I don't think I'd go out of my way for a meal here, but if you're in the mood for some coffee and a pastry, I think it's a great pick.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.15787037; Sentiment_Subjectivity (from 0 to 1): 0.561574074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome sandwich - especially for under 3 bucks! I love all of the pickled veggies and the char siu pork (which is basically asian bacon). The bread is pretty crunchy - be careful not to rip up the roof of your mouth (I really hate that) when you bite into it. I've never been able to eat both halves of the sandwich - but I agree with the other reviewer that said that it gets soggy really quickly. It can also seriously stink up your refrigerator so you might want to take that into consideration. I also like that they have "Asian' drinks like sugarcane juice, grass jelly juice, soy milk, etc. I think it goes with the sandwich way better than a soda. Lastly, I think getting it spicy really makes a difference. Man up and do it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.128333333; Sentiment_Subjectivity (from 0 to 1): 0.562222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pork buns are worth dreaming about. I don't care if they're $4 each. Well, I care a little bit but seriously, they're THAT good. Please please please order them, you'll be doing yourself a big favor. They're better than Momofuku's, I know that for sure. The Momofuku ones are good, yes, but the hoisin or plum sauce or whatever they slap on is overpowering. The Ippudo buns have a nice neutral crunch from the lettuce and the mayo helps to balance the saltiness of the pork. Now the ramen? The ramen is awesome. I am a shoyu ramen girl, sadly. I wish I could have the full tonkatsu broth but I have a sensitive tummy and sometimes super rich foods can really do a number on me. I have had several spoonfuls though and can say it tastes indulgently porky and delicious. I'm not all that sad to have to order shoyu broth though. It's still really awesome. I've also had the fried shisito peppers. They're decent but not really my thing. I say skip 'em. The wait times are totally ridiculous. Only in New York would people be willing to wait an hour and a half to get a bowl of ramen. As much as I like the food, there aren't many places I'm willing to wait an hour plus for. I like Ippudo, but I don't hour-and-a-half wait or even one-hour wait like Ippudo.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.234684343; Sentiment_Subjectivity (from 0 to 1): 0.623670034 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yeah, you all know the fighting over the lunch place story.  Clearly great Yelp minds think alike.   The owners of this place and Snack Taverna on Bedford have the modern Greek cuisine down pat!  The lamb sandwich is epic and divine, the atmosphere is adorable, the service was fantastic, and the mint lemonade was expertly crafted (you'd think Mint + Lemonade + Sugar would be an easy concoction - not so, and these guys do it perfectly) Basically you can't go wrong.  Can get crowded (there's only like 5 tables) but get it to go and watch others drool over your lunch.  One of the best sandwiches I've had in a while.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.311574074; Sentiment_Subjectivity (from 0 to 1): 0.639351852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great date place in the neighborhood.  Small (VERY small) and cozy with a great little menu of contintental American yumminess.    Cheaper than what you'd expect and lots of good options.  Try the mushroom cigars for an appetizer.  Oh, and it's cash only, so be sure to hit the ATM before you go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.18375; Sentiment_Subjectivity (from 0 to 1): 0.615888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sweet holy espresso that is one amazing latte.  Nay, that is the best latte I've ever had.  There I said it.  Everything from the thick, endless foam to the temperature to the flavor is astounding.  Rich, sweet, and complex, it just gets better with every sip.  Believe the hype -  it really is just that good. I was (am) an East Side hater (particularly the UES - sorry kids, just not my scene), but I would move to the East 70's just to be in walking distance from this place.  Well, maybe it's a little more accurate to say that when I settle on the Upper West Side like the bourgeois gay Jew I will inevitably become, I will gladly trek through Central Park for this latte.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.23844697; Sentiment_Subjectivity (from 0 to 1): 0.589772727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 it, love it, love it.  Classy, stylish, yet unpretentious, this hidden little treasure on Perry Street is the perfect place for glass of wine or beer (all they have, but a GREAT selection) and a great conversation.  The decor is dark is cozy, but comfy and roomy at the same time (brilliant), and the clientele is a mix of Village newbies and old time in-the-knowers.  Love this spot, will come back, and definitely will recommend it to others as a chill place to get a drink.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305324074; Sentiment_Subjectivity (from 0 to 1): 0.589351852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 clearly am not eating out in the East Village enough because I had never even heard of this place until I was taken for late dinner one recent Tuesday night.  I love Greek food, but this is more like Greek Cuisine.  Yet, like most Greek food, what makes it outstanding is its careful simplicity.  Simple dishes like fried zucchini come out sparkling.  We also had a fried cheese appetizer that was mild, filling, and yummy. For my entree I went with the free-range chicken over Greek noodles, hearty, flavorful, and tender.  Our waiter was fun and friendly, and the decor is sexy, funky, and classy at the same time.  Don't miss the ceiling - and don't miss this restaurant!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.121825397; Sentiment_Subjectivity (from 0 to 1): 0.4638322 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cookshop, I'm sorry I ever doubted you.  While I stand by my first review that dinner was lacking that certain wow factor, Brunch makes up for it in spades.  I strolled down to 20th street this Sunday, snagged an outdoor table to enjoy the freshly crisp fall air, and was treated to a delightful brunch.  We started with the ricotta beignets which were light and delicious in a tart, plum compote and I went with the frittata, hearty and fluffy and served in a cute little skillet with a side of greens and bacon. Now, while we all know bacon is the world's perfect food, it must be said that this was some of the best bacon I've ever had.  Tender, crispy, cut just a little thicker than usual, it was bacon ambrosia. And to top it off all, the service was snappy as could be.  Obviously brunch is the way to go here.  Cookshop is definitely making the brunch list.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.244463341; Sentiment_Subjectivity (from 0 to 1): 0.583824641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 suppose there is a reason why Jean-Georges is, well, Jean-Georges.  Having been unimpressed by the orientalist circus that is Spice Market and unwilling to drop half a month's rent at the namesake restaurant in the Trump Towers, I had written off JGV as overpriced and over-hyped.  However, Perry Street changed my mind.  This man knows food. I was treated to a birthday lunch here by a friend who holds this restaurant among his top 5 in NYC.  The decor is straight out of Stockholm, yet as others have pointed out, is totally warm and inviting.  The sun streams in through the glass windows, and I've been told the sunset is stunning.  I also love the hanging bulbs in the lounge. But on to the food.  The amuse bouche was a delicious butternut squash soup.  I followed this with a subtle but yummy crab salad and the hearty Tuna Burger.  Everything was pretty exquisite and well proportioned.  Proof that if you have good solid food, you don't need heaps of it.  Given my current salary, (ahem, Jeremy...) it's doubtful i'll be back for dinner, but it's well worth the hype.  JGV, please accept my apologies.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.265625; Sentiment_Subjectivity (from 0 to 1): 0.554166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Finally made it down to Jane this morning to try the famous brunch.  I figured the weekend before Christmas was a good time to take a chance on a Sunday at 1:30pm, and lo and behold, I was right.  10 min and we were sat in the celebrity table in the corner - clearly someone must have tipped them off that The Mayor was in the house (hey, I can dream, can't I?).  Decor is warm and brown, but with chic touches like square lamps and sleek banquettes - makes you feel at home.  I like it. The menu is kind of overwhelming, but only in the sense that everything looks amazing.  I went with the Johnny Cakes Benedict (eating light, as always) which was savory and delicious.  Pair that with a side of rosemary fries, and you've got yourself one damn good brunch.  Minus a star for some server mishaps and cramped seating, but it's a safe bet.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.389384921; Sentiment_Subjectivity (from 0 to 1): 0.694246032 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 discovered the concept of Shabu-Shabu on a Yelp Team dinner in San Francisco not too long ago and fell immediately in love (cf this review for further effusive musings: yelp.com/biz/shabu-house…). I tend to be a big fan of anything that involves copious amounts of meat, but really I just like this whole concept. Heed to the tip that you should make a reservation if you've got more than 4 people, you don't want to have to wait in line - and this place is popular.  And why shouldn't it be?  For $24 you get a three course meal with tons of meat, veggies and rice that leaves you with a DELICIOUS broth for sipping when all your beef is cooked and gobbled.  Service is snappy and attentive. Decor is your typical East Village Asian place set-up. My only complaint is that they didn't seem to have any options for broth flavors other than plain old boiling water.  The spicy miso broth in SF was one of my favorite parts of the meal, and I was sad not to see it offered here.  But other than that, it's a great cheap way to get a lot of food, and a lot of fun. Oh, and btw, that's review #800, bitches.  Word.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.177876984; Sentiment_Subjectivity (from 0 to 1): 0.520436508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If I lived in the east village, I get the feeling this would be my go-to spot.  It's big and friendly, so you won't have a problem getting a table, the food is solid (verging on excellent), there's tons of choices, it's inexpensive - basically everything you could want in one of those places. I had the calamari (OK - I prefer my marinara sauce on the side), and the shortrib (very good, but nothing to write home about).  Was wavering between 3 and 4, but bumped it up for two reasons: all alcohol is under $10 (why, yes, I will have another dirty martini), and our server was amazing - just lots of fun.  Thumbs up for her.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.342777778; Sentiment_Subjectivity (from 0 to 1): 0.542222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Inspired by today's ROTD, I figured I should finally add my two cents on this East Village temple of fried potato ecstasy, even though 405 other people have pretty much already told you the bottom line: Amazing French Fries, tons of yummy different flavored dipping sauces, come in sizes large enough to feed a small family, perfect for late night munchies. Now, how to fit that into something pithy? - 405 fatties can't be wrong? - Lining the stomachs of East Village alcoholics since 1992?* - Fried Twice so they're twice as good AND twice as fattening? - Fries, it's what's for dinner (or breakfast)? - Better at attracting drunk girls than your Axe Body Spray? The possibilities are endless. *Actual opening date unknown, that one just sounded good...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126870748; Sentiment_Subjectivity (from 0 to 1): 0.593027211 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fave of the locals.  Excellent french inspired, olive-oiled themed dishes in lovely surroundings.  The french fries are amazing, and I had quite an excellent pumpkin/shrimp bisque.  A never-fail, solid option in the W. Vill.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.442857143; Sentiment_Subjectivity (from 0 to 1): 0.535714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quite a pleasant surprise!  I will admit that in my snobbery I raised an eyebrow when one of my best friends chose this place for his birthday dinner.  It is, after all, on Restaurant Row, a street that specializes in tourist friendly, pre or post theater fare (read: overpriced, terrible food).   But Becco was totally charming.  A multi-level, efficient Italian Bistro with totally reasonable prices and totally respectable food.  It certainly wasn't the best Italian I've ever had, but everything we sampled was plentiful and tasty.  Two of us went with the Pasta Symphony, which includes an antipasta and a bottomless bowl of three types of pasta (you can sample them all or choose just one).  Our eyes were definitely bigger than our stomachs, though - we filled up pretty fast. While we were definitely surrounded by amply fleshed mid-western families clutching Phantom of the Opera playbills, our dinner at Becco was quite lovely.  I guess I shouldn't write off Restaurant Row just yet.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.309173669; Sentiment_Subjectivity (from 0 to 1): 0.587535014 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so lucky to have people like Heather H in my life who continue to introduce me to some of the best restaurants around.  She's been raving about Gramercy Tavern for some years now, and I had the pleasure of joining her for a Restaurant Week lunch date last Friday.  And Gramercy lived up to the hype in spades. One of my dining pet-peeves is restaurants that try way too hard. Perhaps the reason I liked Gramercy Tavern so much is that it makes everything seem effortless.  It also has the distinction of successfully combining elements of old school upscale dining (synchronous food arrival, swarms of busboys swapping plates and silverware, etc.) with a friendly relaxed feel.  I feel like you'd be just as comfortable here in a suit as you would in jeans and flip-flops.  That's a hard balance to strike. Finally, the food is just excellent.  Classic yet innovative, balanced portions, and very well executed.  I started with a calamari and carrot salad, fresh light and yummy and had the sirloin for my main dish - the highlight of which was the three buttery ravioli underneath.  Dessert deserves a special mention as the most delectable, rich, and ridiculously good bread pudding I have ever had. This is a great meal for an expense account or a place to take your parents if you're not eating here during Restaurant Week (but thank god we were!  All that for $40? Yes please). But still, it's nice when the legendary places live up to expectations.  Well done.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.391734808; Sentiment_Subjectivity (from 0 to 1): 0.607583774 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In all honesty, Riposo 72 has alot going for it and my experience there was nothing less than pleasant.  Stopped in last week for a glass of wine to catch up with a friend. Staff was great, food was yummy, had a good (not great) rioja. I was all set to give it a solid four stars - a few unfortunate decor choices keep it from 5 stardom - fake flowers are never a good idea in a restaurant, no matter what anyone says. But then I was served a glass of wine with a dead roach floating in it. Now, I'm not prissy about such things - this is New York, there are bugs, it happens. The place is not at all dirty.  And I merely informed the bartender without any fuss and he poured me a fresh new one. But when the bill came, you'd think they would have comped that one glass (we ordered several), particularly since I was so calm about the whole situation - I know many others who would have pitched a fit. My friend pointed this out to me and the more I thought about it, the more it bothered me. I would have appreciated that courtesy. But otherwise, A-OK indeed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.082359307; Sentiment_Subjectivity (from 0 to 1): 0.481872294 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seems to me like the French version of Veloce.  A little more rustic, and a little less conveniently located (when, oh, when will the LES craze be over!?), but all-in-all a faboo place to sample some wine by the glass, carafe or bottle, some fabulous duck mousse and delicious French meats and cheeses   Love the communal table feel and the friendly staff of Frenchies (well, as friendly as the French get), but everything we ordered was right on the money, and our waiter was more than attentive - to find out just how attentive, you'll have to ask Russ W...my lips are sealed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25952381; Sentiment_Subjectivity (from 0 to 1): 0.50014881 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 actually love to hate this place, as strange as that sounds. It just seems to me like everyone here is only here because they think it's cool to be here (did you get all that?).  There like "Oooh, I'm in a dirty alley in Chinatown, and it's all like a hunting lodge, and even-though I'm a proto-hipster-vegetarian-asshole, I love the irony of eating with dead animal heads on the wall.  Do I even know what irony means?  Oh, and don't worry, the pierced waiter with the goatee and I hooked up once, like, 2 years ago, so we won't have to wait for a table." Ok, so now that that's out of my system, the food here is actually pretty spectacular and does deserve the hype.  Small portions, but everything is rich and filling, and cooked to perfection.  Try the Devils on Horseback - Dear God, they're amazing.  Great wine list, and the cool pierced guys are actually pretty cool.  Not ridiculously expensive, just good food done well.  Now if only it could shake that obnoxiousness, it would be a five star.  Maybe now that it's been cool for a while, it's no longer hot, which means it's now actually kind of cool.  Wow.  Sometimes I even confuse myself...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.235576923; Sentiment_Subjectivity (from 0 to 1): 0.728846154 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for a date during restaurant week, so I can't complain about the price (although looking at the menu, it did seem a little pricey).  The date was lousy, but the food was quite tasty, and embience had a sort of relaxed, Palm-beachesque elegance.  Maybe trying a bit too hard.  This seems like a great place to take your parents on the Upper West Side, but if you're going to pay that much, you can do better.  Oh, and I also heard that Jennifer Garner used to waitress there...take that for what it's worth.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.102604167; Sentiment_Subjectivity (from 0 to 1): 0.386458333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If I were in a different place in my life, I feel I would have loved Scarpetta. In my new life as starving artist, it's rare for me to eat out these days - particularly at a place like this. So, while it's been sitting in my bookmarks, and got quite a bit of buzz when it opened this summer, I just didn't think it was worth the price tag. As my favorite dining companion remarked, "it's just wrong to have pasta dishes at more than $18 a pop." And I have to concur. I had the maccheroni with octopus. Very good. I'll echo that some of the service seemed a little pushy, but it wasn't bothersome. Scott Conant seems to have made a name for himself cooking subtle, simple, Italian dishes and it would be nice if the prices also reflected such simplicity. Yeah, I know rent in the Meatpacking District ain't cheap, but you can get good pasta for half the price at Bar Pitti with just as much fabulousness.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211276515; Sentiment_Subjectivity (from 0 to 1): 0.544584416 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good - I'd even venture to say very good, although I have a feeling maybe this place gets some of its hype due to hordes of drunk/high NYU students stumbling down MacDougal hungry for something other than pizza.  However, the other day when I was craving something big, cheap and middle-eastern for lunch, a shwarma from Mamoun's definitely hit the spot - and the price is right - $2 falafels and $4 lamb shwarmas can't be argued with.  Nor can the fact that somehow it arrives approx 15 seconds after you order it.  Really amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.21501443; Sentiment_Subjectivity (from 0 to 1): 0.502691198 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sonia is right - this place is quite the find.  I came here once for lunch with a W. Village local of renowned taste and had the thoroughly enjoyable cobb salad - Cabrale cheese!  YAY!.  The place is tiny and charming, definitely Spanish owners who know how to cook and know how to please.  My second visit here was last night on what turned out to be the final choice for dinner in an evening of rejecting other local options - Westville was too crowded, couldn't remember where Mary's Fish Camp was, wasn't in the mood for Spotted Pig, etc.  And it was even more lovely for dinner.  The menu is small, but we still had trouble choosing because everything sounded so delicious!  We split the crab tortellini (YUM!) and I had the mushroom pasta.  It's not quite a five star, but it is a lovely little place for those in the know.  I was definitely a happy camper.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.226550752; Sentiment_Subjectivity (from 0 to 1): 0.48302005 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Remember that time I said I don't get down to the East Village that often?  I lied.  I seem to have found myself down here a lot this week. And on my way to a party on 7th street, I was having a very strong craving for something brothy, noodly and seafoody.  A quick Yelp Mobile seach for Noodles in the East Village yielded Sobaya.  So I dragged my companion for some "japanese delights." Maybe I'm missing something here, but I'm with David S.  I just wasn't that blown away. It seems pretty much like every other little East Village Japanese place.  After some seat shuffling (for which they apologized by bringing us some yummy vegetables), we settled in.  Maybe I ordered wrong (we both got the Udon Casserole thing) and it was fine, but a little overwhelming with all the ingredients.  I am no one's Japanese food connoisseur, but it just didn't seem all that spectacular.  And for some reason I was expecting speedy service, and that it certainly wasn't.   I could give it another shot, but I don't see any reason to.  There are a dozen similar places in a two block radius.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.082447786; Sentiment_Subjectivity (from 0 to 1): 0.46987051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 moral dilemma for your consideration: A friend of mine had a party here and I went, even though beer and wooden benches isn't really my scene.  The place, though, is actually very charming little Irish bar hidden in a basement on 5th Street.  If I were the type of guy who says things like "Hey wanna go grab a brewsky?" and I lived in the East Village, this is where I would probably go.  But back to my story.  When the boys and I arrived, we noticed a full draft beer sitting on the bar, completely untouched.  it was in close proximity to some randoms, so we figured it was theirs and thought nothing of it.  Then the randoms left, leaving the beer stranded.  My friend Scotty and I kept eyeing it periodically, and eyeing each other, until finally I was like "what is this compeltely full, untouched beer doing here?" "I don't know, Sam, I was thinking the same thing..."  Well, the next thing you know, YOINK, and Sam had a free beer.  Now, I don't even really like beer (although I must say it's growing on me these days...) but I am never one to let alcohol go to waste, and since I wasn't having all that great a time at The Scratcher, the least the bar could do for me is get me a free beer.  Am I a horrible person?  What's the rule on a stranded beer?  5min?  15?  All I know is I have The Scratcher to thank for the beginning of what turned out to be a VERY drunken evening.  And should you ever indeed wish to "grab a brewsky" in the East Village, it seems as good an option as any.  To me, it will forever be that place where I stole a beer.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.105233333; Sentiment_Subjectivity (from 0 to 1): 0.405333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Barbuto seems like a place I should have known about forever, (come on, Perwin!  Get your head in the game!) but alas my recent jaunt here to meet some friends for a drink was my first. We would have eaten there, but one of us had already been there twice that week!  Where have I been!? And what have I been missing?  It seems quite a scene.  The decor is that ever-present garage-door chic, and on this balmy summer night, the aforementioned doors were flung open creating a golden, airy, and lively space.  They were even filming what I can only imagine was some kind of reality show at a table in the corner.  Shrug. I had a lovely glas of Torrontes, crisp and perfect for a summer evening, and munched on olives and almonds at the bar.  This definitely seems like my kind of place.  Expect an update when I come back for the food!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.154277146; Sentiment_Subjectivity (from 0 to 1): 0.547222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 much as I like to be on top of the hot restaurants of the moment (it is my job after all...), I had planned on giving this place's flames a little while to die down.  I don't do hour+ waits.  I don't do month in advance reservations.  However, when a friend suggested it for a late dinner on a Tuesday, I figured that was the perfect time to give it a shot.  We still had to wait about 20 min for a table (at 9:30!  On a Tuesday!  I love New York...) but the lovely hostess checked on us several times to assure us we hadn't been forgotten, and even brought us glasses of water while we waited outside.  A wonderful indication of things to come. I'm not sure what to rave about more here, the food or the service.  As with most outstanding places, it's really the detail that make everything so wonderful.  For example, I ordered a glass of Cabernet, and the waitress actually let me taste it before pouring the glass (not usual when you just order a glass).  Then after she poured, she looked at the bottle and said "you know what, there's only a half glass left in there - keep the bottle."  Don't mind if I do.... Finally the food.  We both started with the lobster soup, which was a traditional bisque but with lobster chunks instead of having it blended in.  An excellent choice if you ask me.  I wanted something hearty, so I went with the crispy chicken which was tender, peppery, and surrounded by homefries and roasted brussel sprouts.  Fantastic.  My friend had the scallops which looked amazing.  We split the pear tart, which was buttery and perfect.   I had also expected to pay much more, but was quite pleasantly surprised by the check - how often does that happen at an amazing restaurant in the West Village?  The decor is charming and welcoming, but not overstuffed.  My dining companion made me promise to mention the fact that the tables aren't too close together - also not something that happens with cozy little restaurants in the West Village.   I've ranted enough.  Suffice it to say Little Owl more than lives up to its reputation.  It seems purely a matter of timing for getting a table, but when you do, it's sure to be a world class experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240702889; Sentiment_Subjectivity (from 0 to 1): 0.616201791 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good friend and W. Village local took me here for what he discribed as the best burger he's ever tasted.  And indeed, it did not disappoint.  Was also a fan of the shoestring fries with rosemary.  It's a local staple, cozy and friendly, and the name alone makes it worth a visit, but honestly I wasn't sure why it was so crowded.  Considering the raves it's getting, I may have to give it another chance...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.363888889; Sentiment_Subjectivity (from 0 to 1): 0.448765432 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I continue to explore life in the upper west 50's, I'm looking for the staples to replace my normal take-out route when I lived 10 blocks south (yes, I realize all those places will deliver to my new place, but that's not really the point here).  Enter Burrito Box, the Mexican cousin of Lunch box across the street, and the new replacement for my beloved Burritoville on 44th and 9th.   I decided to go standard and just order the grilled steak burrito as is.  Yum.  Basic, but fresh and yummy.  I somehow missed Susan S's rec that I try the guac and the sign that said they have whole wheat tortillas (usually, I opt for both when it comes to burritos), but there'll be plenty of time to mix and match.  And if I'm craving my white chicken chili from B'ville, well, it's only 10 blocks south...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.044848485; Sentiment_Subjectivity (from 0 to 1): 0.398939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Le Tartine, c'est manifique!  Really I think the only correct word for this place is lovely.  A little french bistro on the corner of charming and simple, Tartine serves up impeccably yummy french fare to those lucky enough to get a table.  I've eaten here a couple of times, but it's usually been on off hours (a late lunch here, an early breakfast there) because the word is out about this place.  Brunch?  Amazing, but expect at least an hour wait.  There are less than 10 tables.  It's sad though because it's the kind of place you wish were your little secret.  Definitely stop by as you stroll through the West Village and are in need of sustenance.  There is nothing here to disappoint but its popularity.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.06780303; Sentiment_Subjectivity (from 0 to 1): 0.545779221 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Um...sure.  While I had a divine time here at the first ever Yelp Food Club Brunch, I didn't think the food was anything to write home about.  Perfectly acceptable brunch fair.  It seems more like it's popular because of it's location and nice sunny space and not really for the food.  I will say, I was very pleasantly surprised with the lack of wait - was expecting at least an hour, and we were seated in a mere 25.  That's fast for Sunday brunch anywhere!  So yeah, sure - I probably wouldn't go out of my way to come back here.  We did have one celebrity sighting, though: Mike Meyers.  Not bad, not bad....; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.286666667; Sentiment_Subjectivity (from 0 to 1): 0.63037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think I ordered wrong, but I was unimpressed with my inaugural Blue Ribbon experience.  Rolled up with some Yelployee Powerhouses after the Elite event last night and as it was on the company dime (thanks Jeremy!) we ordered up a storm.  The feel of the place is very dark and chill - welcoming, but a little austere.  Like it's trying to remind you its a "nice" restaurant while at the same time wanting to be a neighborhood joint. Things started promisingly with half a dozen New Brunswick oysters and salads all around.  What I tried of the seasonal vegetables was delicious too - sunchokes and yellow beets in a yummy vinaigrette.  But my main dish just wasn't up to par.  I ordered the duck club, which I figured would be piled high with bacon and juicy portions of my favorite poultry, but instead came a dry little sandwich with what looked like sliced deli meats.  For $20+ an entree, I'd appreciate a little more effort than a nod to my local jewish deli (points for the pickle, though...) Should I return to a Blue Ribbon establishment (which is only a matter of time - they're hard to avoid in this town), I think I'll stick with seafood.  They seem to do that well.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069221212; Sentiment_Subjectivity (from 0 to 1): 0.445915152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cafeteria was the beginning of the "Trendy-Kitschy-Confort-Food" movement that has since swept the city.  And I have to say, as obnoxious as the place has become sometimes (any day for brunch, or late nights on a Friday or Saturday) it still has great food.  I love the fries and the salads, and the Mac & Cheese really is pretty much unbeatable.  Bottom Line: Prices are good, food is great, attitude comes standard, so don't go if you can't deal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.36875; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gems like this are rare in midtown.  I won't lie, I was wary when I was told that a friend's birthday dinner was here, and I'm happy to say I was very happily mistaken. The staff was attentive, friendly, and fun  - we were very well taken care of - and the food was great quality italian.  The glass of Multepulciano that I had was excellent, which I think speaks well of their wine list.  I had the Orichiette (which is so much fun to say in an impeccable Italian accent  - which, of course, I have ;)) with sausage and brocolli rabe - a perfect lite supper for a post-show meal.  A great choice for a pre-carnegie hall dinner or anything else that might bring you to this part of town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.457352941; Sentiment_Subjectivity (from 0 to 1): 0.644117647 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the name here would imply some kind of exclusivity, clearly the word is out about this next installment in the nouveau-speakeasy trend.  Stopped in on a Wednesday night around 11:30 for what I thought would be a nice quiet drink with a friend only to find that the joint was jumping, as it were.  Chock full of beautiful West Villagers, it was clearly the place to be.   Not to be deterred, we decided to stay for a drink anyway, and sample their famous libations.  We both had The West Side a delicious, refreshing citrus cocktail, perfect for a balmy summer night.  The staff, even despite the crowds, was remarkably attentive and friendly, though I couldn't help but chuckle at the handlebar mustaches they've all clearly been forced to grow.   The decor has a warm art-deco feel - tiered right angles, neon turquoise accents and a tin tiled roof.  Not exactly inspired, but well executed.  Didn't try the food, but I'm sure I'll be back.  I just need to figure out which is their off-night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327639752; Sentiment_Subjectivity (from 0 to 1): 0.637301587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 much the ideal Nolita brunch place if you're looking for something a little upscale and a little fabulous (and when aren't we really).  Recommended by one of my most trusted sources not only for it's delicious Australian food, but also for it's decor, we ventured for brunch  and it did not disappoint. The decor is eclectic and impressive, industrial but soft in the sun-swept main dining room - think concrete, metal, and ferns everywhere.  This is bookended by stately wooden libraries (books and all) which house private dining rooms on either end.  The food was scrumptious - I had the salmon benedict which had the best hollandaise sauce I think I've ever had.  But the real treat was the quinoa hash browns, served hot and spicy.  Divine.  The prix-fixe brunch comes with a drink for $22.  Not too shabby. Knocking off a star, though, for the very strange service.  It wasn't bad, it just left all of us feeling a little odd.  From the hostess who delivered the news that it would be "just a few more minutes" like she was telling one of us we had cancer, to our waiter who wouldn't talk to us unless it was behind a patch of ferns, we were creeped out by the staff at every move.  I'm sure this was just a one time thing, but still, it was weird.   I'll definitely be back, though.  Yum.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.15233871; Sentiment_Subjectivity (from 0 to 1): 0.500286738 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I will echo the masses here and say this place is not worth its hoity-toityness.  Decent, creative food, but very very overpriced for what it is.  I came for lunch to catch up with a friend who'd been in Europe for a few weeks.  It was a disgustingly humid day, so I was thrilled to hear they had gazpacho as a special.  Unfortunately it was far too thick and creamy and basically tasted like cold tomato soup instead of like fresh, delicious gazpacho. I had the Avocado BLT which was crisp and tasty, and I loved the fingerling potato salad that accompanied it, but it really didn't win me over.  Also, the decor is not for the faint of heart or bug-phobic.  I'm not sure why they need a 3 foot wooden beetle crawling along the ceiling, but to each his own.  I might give it another chance if someone else is picking up the tab, but there's much better food to be found in the West Village.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.12320911; Sentiment_Subjectivity (from 0 to 1): 0.639506556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, so clearly the 86th review here does not need to mention how delicious the corn is.  It is, but to be honest, considering the corn-related hype, I was expecting orgasm worthy corn.  Don't get me wrong, it's damn good, but not really more complex than roasted corn with butter, parmesan, and paprika.  Good, but not rocket science. Anyway, a friend and I came here for brunch yesterday when the wait at "too-cool-for-you" Cafe Gitane was out of control. Surprisingly, here we got a table right away, but it was right by the door, so we had a nice fall breeze accompany our brunch.  This warrants minus a star because I saw two tables in the back that were available, but when I asked about them, the hostess said, "no, they're taken."  They clearly weren't, but whatever.  I'm being nitpicky, as I usually am with popular places. The food is cuban basics done right and served with a smile - our watiress was beautiful and attentive.  I had the Huevos con Chorizo and a Cafe con leche...mmm...just like I used to have in Miami.  But really what knocks the socks off this place is the prices.  It is cheap, reliable, good cuban food.  Can't go wrong.  I'd come back as long I could get a better table.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277112135; Sentiment_Subjectivity (from 0 to 1): 0.555606759 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thank you, to the divine miss Heather H for popping my Batali cherry.  Generally I can't be bothered with hypey restaurants.  I don't want to have to wait for a reservation.  I do not worship at the alter of Batali.  I will not sell my left testicle for a 9pm reservation on a Saturday night in December.  But for that gnocchi, I might part with a finger.  Maybe two.   This is one of the better meals I've had in a while.  We came for lunch on a cold and rainy MLK day and decided to go hog-wild.  We created our own tasting menu - three appetizers, one pasta, two entrees and a desert.  About $45 each.  Not too shabby for what's supposed to be a very pricey restaurant.  Yes, I know it was lunch.  Shut-up. And the food.  Wow.  I mean wow.  Everything was scrumptious.  From the beets & pistachios antipasti, to the gnocchi - actually the best gnocchi I have EVER had - to the rabbit sausage and striped bass.  Flavorful, innovative, delicious.  In a word brilliant.  And our server was lovely and friendly.  A divine way for two yelpers to pass a dreary afternoon.  I will return soon.  Very soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.275694444; Sentiment_Subjectivity (from 0 to 1): 0.635416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Indulge me, if you will, for a story.  A story of fatness. My roommate and I used to have a tradition called Fat Sunday in which every Sunday night, we'd order obscene amounts of Chinese take-out and watch Desperate Housewives and Grey's Anatomy (back when they were on at the same time...sigh...oh the memories).  One night we had some people joining us, and we decided to switch up the fatness and order something different.  In our huge stack of take-out menus we found Empanada Mama, and thought, hey, why not. Now, there weren't all that many of us, (maybe 4?) but we ordered A LOT of empanadas.  I mean, a lot.  So many that we decided when the delivery guy arrived we would yell something like "Hey guys! The food's here!" back to imaginary people in our bedrooms so that he wouldn't think we were total fat-asses for ordering something like 24 empanadas for 4 people - yup, that's 6 per person.  We call it Fat Sunday for a reason, people!   But here's the rub (and the fat).  We ordered so many so that we could try as many flavors as possible (and, of course, to be as fat as possible), but they left out one flavor, leaving us four empanadas short. We paused.  Clearly we had plenty of empanadas (this loss put us down to what, 20?) but we had paid for all of them and wanted to try all the flavors.  Should we admit true obesity and call back and demand yet MORE empanadas.  Yes, damn it!  It's Fat Sunday!  So we did, and they obliged promptly.   And were they delicious, hot, cheap, and oh-so-fat? You betcha.  A great little place to stop for some fried latino goodness and not do any damage to your wallet.  Unfortunately I can't say the same for your waistline.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151898148; Sentiment_Subjectivity (from 0 to 1): 0.506990741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jury Duty Lunch Tales: Day 2 I decided my rare proximity to Chinatown could not be wasted on another bad middle eastern food experience, so I decided to brave my way into the dumpling craze. Between New York Magazine and dumpling-obsessed yelpers, this place has gotten a lot of buzz and it was at the forefront of my mind as I wandered through Chinatown toward Eldridge Street, aka, Dumpling Row.  The place is TINY, no frills white linoleum, about 6 stools and benches - it's definitely not a dining destination (not sure what i was expecting, really...) I ordered a beef noodle soup and 5 dumplings.  The grand total: $4.75 - and this was a mega tub of soup too.  Genius.  I'm not a dumpling connoisseur, but these were way up there in terms of flavor (more chives yay!) and consistency (that perfect balance of chewy and crispy). The soup was good - a little salty for my tastes, but filling and delicious.  And for under $5?  Done and done.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217992424; Sentiment_Subjectivity (from 0 to 1): 0.581116723 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have a fundamental problem with Top Chef: you can't taste the food.  At least on Project Runway, Top Design or even So You Think You Can Dance (admit it - you watch it), the visual aspect of the competition (fashion, interior design, pirouettes) allows me to judge for myself and compare it to the judge's comments.  Whereas on Top Chef, while I can see that the concoctions look good and sound interesting, the fact that I can't taste them only frustrates me.  No, Padma, I don't care what you think - give me a bite! However, in the case of Harold, clearly the judges were on to something.  This boy can cook.  And Perilla might be one of the best meals I've had in quite a while.  I came with the full fam in tow, which usually means a multiple course affair.  I started with an artichoke and fava bean salad with a light vinagrette (i LOVE fava beans when they're in season) followed by a smoky and succulent pork tenderloin.  Utterly fantastic.  We paired it with a nice light Verdicchio blend - I liked it, but it wasn't universally approved.  We also ordered a side of the edamame falafel, which are not to be missed. Also not to be missed is dessert - the chocolate sampler was a winner (especially the dark espresso sorbet), and after watching plate after plate of the home-made donuts with chocolate ganache whisk by us, we had to order some.  They were, light, fluffy and scrumptious. Service was impeccable, the decor is charming: chic but homey and surprisingly spacious given its narrow typically-West Village layout.  And believe it or not, all this was surprisingly inexpensive considering the hype factor.  It's by no means cheap, but it only came out to about $50/person with tip.  Believe the hype - maybe Padma knows what she's talking about after all.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.560416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The rumors are true.  This is actually the best falafel in New York.  It's hard to argue with the $2 in 30 seconds wonder that is Mamouns, but when you actually want some Isareli CUISINE and you've got more than 5 minutes and $5, come to Taim.   First of all, any place that offers you three different kinds of falafel balls for options has got to know what they're doing.  I usually go with the spicy (red), but I like a little kick.  Both other options (green or plain) are delish as well.  They're then stuffed into a warm yummy pita with fresh, delicious tahini, hummus and salad...oh god, I want one right now! I really need to branch out and try some other things on the menu here, but I always want a falafel when I walk anywhere near it, so why deviate from perfection?  I have sampled the ginger mint lemonade and the straberry, rasberry, and Thai Basil smoothie.  Both excellent.  This is the real deal, people.  Go immediately.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188002165; Sentiment_Subjectivity (from 0 to 1): 0.410896104 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 about as good/adorable as it gets for Murray Hill, kids (sorry, I'm a west side boy, tried and true).  Came here the other day for a late lunch with my p.i.c Russ W and our illustrious Chicago CM Andrea W, who was in town wedding dress shopping.  Considering she was crashing in this hood, I suggested the best for lunch. The decor is a charming pastiche of country kitchen meets shabby chic bakery: mismatched stools, tables, and chairs, a peeling light blue paint job, you get the idea.  The menu is classic comfort foods - I had a chicken club which looked only slightly better than it tasted - minus half a star there.  The honey mustard was a nice touch, though. Minus another half a star for being cash only - seriously, this is 2007.   My sister is moving to this neighborhood soon, so I'm sure I'll be back here one weekend morning to brave the lines for brunch.  I'm a fan, though, it really is adorable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.135869565; Sentiment_Subjectivity (from 0 to 1): 0.583937198 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In one of my rare appearances on the Upper East Side, I was taken here by a friend who's friend's friend's ex-boyfriend owns the place (did you get all that?).  Great wine and charming surroundings.  I've never eaten a full meal, but I have no doubt it would impress - all the little munchie things I had were delicious.  Who knew such cute things existed east of Broadway...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.384722222; Sentiment_Subjectivity (from 0 to 1): 0.688888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stretch of 9th Ave is full of surprises.  When I walk down it (usually on my way to Parke & Ronen and/or Billy's) I pass by the restaurants and think, these all look so charming but so similar!  Le Grainne definitely fits the bill.  Undoubtedly charming, it fills the French slot in the slew of little restaurants with exposed brick walls, not too many but just enough tables, and a foreign staff to match the cuisine.  The food is good, and definitely authentically French and delicious.  The cheese plate appetizer is quite a lot of bang for your buck.  Mostly everything is, actually - the prices are reasonable bordering on cheap!  I was craving pasta so I ordered a seafood linguine which was good but not great enough to earn this place that last star.  One of my companion's Nicoise salad looked much more appetizing. As for the service, it was typically French, but was redeemed in the end when my two friends (both fluent French speakers) struck up quite a conversation with our adorable, if somewhat aloof, waitress.  I hear the brunch is great, so I'll probably be back.  A five star experience in what's basically a four star restaurant.  Mostly this was due to my Franco-phonic (and Francophillic) company, but we had a quite a lovely time here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22373366; Sentiment_Subjectivity (from 0 to 1): 0.470751634 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, I officially have a man-crush on Joey Campanaro.  Wait, I'm gay, so I guess I just have a regular crush on Joey Campanaro.  Actually, I've never even seen him, so I really just have a food crush on him.  Mostly I want to lie in bed all day while he feeds me hazelnut-crusted chicken and brussels-sprouts.  Is that weird?  I think this review just got kinkier than I meant it to... After my near foodgasm at Little Owl, I hopped on over here with my favorite West Village foodie late last Thursday and the joint was still a-jumpin'.  We snagged two seats at the bar - a bonus because it afforded us the services of the adorable girl behind the bar.  We jumped in with wine (a Spicy rioja for me) and entrees.  I had the halibut which was roasted to soft perfection and served over veggies in a thick, delicious broth.  My companion had the aforementioned chicken - juicy and crispy at the same time.  So yummy. The decor is friendly and cozy, and the service is the same. Big windows, exposed brick, chalkboard walls.  The shtick here is that everything on the menu is for sale in raw form at their little market up front.  Very cute.  There's obviously a reason his places are so popular - Joey, baby, call me!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069529915; Sentiment_Subjectivity (from 0 to 1): 0.530448718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Like an old man who's been living in his rent-controlled apartment since 1953, Corner Bistro has and always will be a staple of the NYC burger scene. Since I don't do hour+ waits anywhere, it took me a while to make it out here.  Come for lunch - we walked right in. There's not much new to say here.  The place is unapologetically divey but it's part of the charm.  The menu only has about 6 items on it - most of them have to do with how you like your burger prepared.  The servers are crotchety and surly, but what do you expect for a $6 burger from a tiny corner dive bar? As for the burger, yes, it's pretty fantastic.  Big, juicy, cooked the way you like it and topped bacon and cheese in classic Bistro style.  I never thought I'd ever say this, but skip the fries - they're not bad, but not really worth the calories.  Overall, I doubt I'd brave the dinner crowds for this experience, but for the burger alone, an easy 4 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.204502165; Sentiment_Subjectivity (from 0 to 1): 0.53046176 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After a lengthy debate with my local hosts about where to dine for lunch, after ruling out a relatively local place known for it's Mediterranean style food and especially its lemon chicken orzo soup, it was settled that we'd go to a different spot because it had rockin' sandwiches. Along for the ride, I said, hey, why not?  You're the boss.  (A figure of speech.  Literally.) So, imagine my confusion when we sit down and the first thing I see is a bunch of lamb entrees and a lemon chicken orzo soup.  WTF?!  I'm so confused. Well, it just so happens that this place Snack is an annex of some sort to the other place we were considering, even though no one knew it when we were debating.  What are the odds?  I mean, I'm in the biggest eating city in the world, and my two compatriots are essentially debating the merits of the same place??? The lamb sandwich was amazing.  What is it about lamb in NYC right now?  Two times in like 14 hours.  And the soup was very refreshing and flavorful. This is a super cute little spot with seating for no more than about 15 people, so be prepared to wait if you're there during prime time. Oh, and the minty fresh lemonade hit the spot on this warm day, too. (OK, so Russ already told the story, but I like my version better. Ha.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.050539683; Sentiment_Subjectivity (from 0 to 1): 0.580484127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 group of five of us met up for a casual Monday evening get-together for light food and wine, and Jadis was just the perfect spot. We ordered platters of cheese and meats and then added salads, fried puffs, mini quiches, crab cakes... well, you get the idea. Add to that  "carafes" of wine (they essentially open bottles and pour generous 1/2 bottles into table-friendly carafes) and all of a sudden you feel like you're at a French brasserie.   The place is small and quaint -- it's narrow in the front and opens up in the back for larger groups -- with exposed brick and a bit of a library feel to the place.   The tables are low and surrounded by small wooden stools without backs, so you huddle around the food and drink, forcing you to lean into your conversation.  Which is what it's all about anyway, no? All and all, a super nice neighborhood spot for relaxing food and drink.  Including tip, it was about $40 per person for filling food, ample wine, luscious dessert and generous tip.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075555556; Sentiment_Subjectivity (from 0 to 1): 0.482222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was one of those, I'm-in-a-random-spot-in-Manhattan and am hungry and this place looks decent sort of moments.  So, I popped in for a late breakfast, sat at the counter, and had me some huevos ala mexicana which set me up for a great day. This is a warm and cozy spot, with a menu with a lot of attractive options at good prices, too.  There was a nice local feel to the clientele, who seemed to know each other and enjoyed seeing each other. I watched them cooking up a mountain of corn on their grill as they got ready for the rest of the day, and now that I read the other Yelp reviews, I now see the light.  Next time!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.243229167; Sentiment_Subjectivity (from 0 to 1): 0.561979167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recent visit to New York, I had the pleasure to be able to meet up with and sit down for lunch at Cafe Gitane with a business colleague who works in the neighborhood. One small problem was that it turned out to be just an extraordinarily beautiful day in New York -- effectively what felt like one of the first days of summer for the locals who were out and about and showing (lots of) their bad selves off . Cafe Gitane has an indoor/outdoor thing going which makes this place quite attractive on a nice sunny day.  Speaking of attractive, beyond the pleasant weather, this place also happens to be one of those see and be seen places with beautiful people (professionally beautiful and amateurs alike) all around.  So, what's the problem, you ask?  No reservations -- especially fashion-backward out-of-town marketing weenies and his guests. To be fair, we got seated quite readily on a bustling day in the middle of the lunch rush at 1:00 PM.  And we got out of there for $50 (including tip) for 3 of us, which is decent for a high-profile spot in SOHO that is flooded with models and wanna be models.  Three stars because the food was decent, but really not better than decent. Tip: Try and sit facing the room so you don't end up with whiplash in your neck like I did from not-so-subtly checking out the parade of models cat-walking their way to and from the facilities (where we speculated many a $14 salad ends up en route to the NY sewer system).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.28463481; Sentiment_Subjectivity (from 0 to 1): 0.648960761 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for lunch the other day with a coworker and it was great.  I had the chicken sandwich (chicken, tomatoes, roasted red onions, spicy mint lemonaise, arugula and mint), which may be the best damn chicken sandwich I've had.  My coworker seemed very pleased with his Greek salad/meat pie-ish thing.  The items on the menu largely consist of your more popular Greek choices (spanakopita, pastitsio, etc.) and are all very reasonably priced.  It's a very small place (maybe about 10 seats) and while it wasn't crowded when we got there, it was definitely getting there when we left.  I can understand why.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.104369748; Sentiment_Subjectivity (from 0 to 1): 0.523739496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sister and I went here for brunch today and it was great.  We didn't really opt for any of the brunch-specific menu items except for a side of home fries (not too big, but very flavorful) and two brunch cocktails- the Vesta Punch (lemon, pineapple, and prosecco) and the Rosso Dulce (chianti, simple syrup, something else.)  My sister got a margherita pizza which (as always) was awesome and I went for the linguine with garlic, olive oil, and bread crumbs which I love.  There were plenty of breakfast options like granola and yogurt and a variety of egg dishes that sounded great too, but I am a sucker for pasta and as always, Vesta provided a great meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.560714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 few friends and I went here for dinner a few months ago.  I really just was not impressed.  For appetizers, we had the gnocci, the salmon tartar, and the calamari.  The calamari was the real letdown.  It just wasn't very good.  The entrees were passable, but not particularly memorable either.  While it's not expensive, I expected more for the price.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.081; Sentiment_Subjectivity (from 0 to 1): 0.508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Parmesan peppercorn = heaven.  You should definitely share these with a friend because it's a hell of a lot of fries.  Thick, perfectly fried, and served in a paper cone.  What else could you want?  If you have never been there, the price may seem a little high, but you are certainly getting your money's worth.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.169540816; Sentiment_Subjectivity (from 0 to 1): 0.526632653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 meant to go to Walter Foods for a long time so when my friend and I finally made it there, I was a bit disappointed that it didn't live up to my expectations.  I guess maybe it was an off night.  We started out with a Hemingway daiquiri (okay) and a mojito (not bad.)  We were surprised when only a few minutes after placing our order, our food arrived.  My friend has ordered the short rib burger, which was good.  I had order the halibut and a side of mashed potatoes.  When I went to eat the fish, I noticed that while the outside was cooked, the inside was raw (And I am not one of those crazy people who only eats things that are cooked to the point of charcoal- I eat steak tartare, sashimi, etc.)  The mashed potatoes were cold, but otherwise tasted good.  Despite the problem with the halibut, the bread pudding we split at the end of the meal was good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.041977467; Sentiment_Subjectivity (from 0 to 1): 0.629344729 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and I went here last Friday for dinner.  We did have to wait about 20 minutes for a table, but it was well worth it.  The food was heavenly.  We had the pork buns (absolutely wonderful), an heirloom tomato salad with shallots (vinegary and delicious), the skate with spicy aioli and fingerling potatoes (my friend ordered it as her entree..I wish I had), and the hanger steak ssam with ginger scallions, kimchi, and rice (delightful, but not as good as the skate.)  My sister and I each had a $10 glass of cava to accompany our dinner, but they also had a few different types of Hitachino beer on the menu as well as several different wines.  It was a bit expensive for broke people like ourselves, but looking back, I have no regrets. Second visit: The food was still awesome, but the waiter brought me the wrong dish (warm veal head terrine instead of grilled veal sweetbreads) and insisted that I had ordered the wrong thing.  The terrine was interesting, but I damn well know that I didn't order anything with the word "head" in it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.234210526; Sentiment_Subjectivity (from 0 to 1): 0.519298246 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 burger I had was kind of lousy.  The fries I had were kind of lousy.  The jukebox at the table did not work. I will not be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.04; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for lunch today with some of my coworkers and it was awesome.  I had the grilled chicken sandwich with napa slaw.  It was really good and came with a side salad (with carrot ginger dressing!) for less than $10.  I also had the ginger iced tea which rocked (provided you really like ginger.)  The place was small with diner-like decor.  I must go back here again!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151190476; Sentiment_Subjectivity (from 0 to 1): 0.45952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Hearth with my family for my birthday. Service was great and I really enjoyed the food too.  The best dishes we had were the salmon, the gnocchi (get this!), the fish of the day, and the apple cider doughnuts. The staff was extremely helpful when it came to the wine list- they gave us wine pairings for each of our courses that went very well with the dishes.   It was a great meal and I would be very happy to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.521875; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've had delivery from here twice and both times, I just really wasn't impressed.  It was okay, but I've had better.  The crust was chewy to the point where I could barely chew it.  It seems like it would probably be better if I got it straight out of the oven.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.421428571; Sentiment_Subjectivity (from 0 to 1): 0.457142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been here twice and both times I got the friend pork and chive dumplings.  The first time, I really liked them.  The second time, they were quite greasy and soggy.  5 dumplings for a $1 is insanely cheap so I can't really complain too much, but I'm not sure I'll be in such a rush to go back. Both times I went there, the small storefront was packed (and I mean packed) so it was a bit of a fight to actually get to the front to order the dumplings.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069791667; Sentiment_Subjectivity (from 0 to 1): 0.400810185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a friend from work and my sister last night.  The fried calamari was decent.  The wine prices weren't too outrageous.  The waitress was friendly.  But I just couldn't get over the bad fake over the top "Italian" vibe of the place.  We ordered chicken parmigiana and penne with broccoli.  There was a ridiculous amount of food, but sadly, it wasn't very good.  The marinara was too sweet.  The pasta was a greasy, salty mess.   I think if I want Italian, I'll just stay in the Bronx.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.100444444; Sentiment_Subjectivity (from 0 to 1): 0.597 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend from Bensonhurst took us there after a day at Coney Island.  The round pizza was a $1.75 a slice and pretty damn good.  I also liked sitting at the outdoor tables.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really like this place.  Would I make a trek across the other boroughs to get here?  Probably not.  But as a neighborhood place, it's wonderful.  The panini is excellent (go for the soppressata, hot pepper, and asiago one.)  They have a small selection of well-chosen beers and wine.  The crostini are great and the salads are good too (I like the baby string bean salad with parmesan and truffle oil.)  All in all, a great spot in the neighborhood.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.486111111; Sentiment_Subjectivity (from 0 to 1): 0.658333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We went here for brunch the other week.  I really like the atmosphere of the place.  The Bloody Marys are nice and spicy and the kale salad was delicious (although there was a bit of grit in it.) The buttermilk biscuits were also fantastic.  My only big complaint would be that almost all of the savory brunch dishes have eggs in the time.  I would like to come back for dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0975; Sentiment_Subjectivity (from 0 to 1): 0.5675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I stopped here for dinner on a Thursday night after work. We were able to get a table right away and were quickly given menus. Service was solid and I enjoyed the beer and the food. We split the house-cured salmon (very good!) and I had the seafood bouillabaisse (not bad.) We ended the meal with the complimentary whiskey cake which was a very moist pound cake. I enjoyed the meal and the cozy atmosphere so I'd definitely go back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.314087302; Sentiment_Subjectivity (from 0 to 1): 0.513115079 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for dinner the other week with a friend.  It was nice to enter this cozy restaurant after the cold January walk it took to get there.  We started with a few glasses of pinot noir and the carrots and the roasted broccoli.  Both vegetables were amazing.  We were also brought the infamous bread in a flower pot.  For entrees, I had the duck confit and my friend has the pork chop with pork belly.  Both entrees were spectacular.  The only place where Anella faltered was on dessert.  The salted caramel chocolate tart could've been better and the olive oil cake that my friend ordered was very, very sweet.  Despite these issues, I'd still definitely come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.086923077; Sentiment_Subjectivity (from 0 to 1): 0.682307692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for lunch with my boss and it was excellent. I had the turkey club with bacon and avocado which, while pricey at $14, was absolutely definitely worth it.  I can't even describe how much better it was than what you would get pretty much anywhere else.  Service was perfect and the restaurant itself was quite nice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.685714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is just average Thai food. It's the atmosphere that sets it apart from other Thai restaurants- there's a certain look of elegance.  The lychee sangria was good, but not too alcoholic.  Overall, the meal was fine, but not particularly memorable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.069494048; Sentiment_Subjectivity (from 0 to 1): 0.493303571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I lived on spring street for 3 years, basically around the corner from Snack. In that time I developed a strong addiction to snack's chicken sandwich on the lunch menu (among other menu items, but the chicken sandwich was my fave). I was getting snack delivery at least once a week and the delivery guy and I became very close (kidding). Anyways, what I am getting at is that I like this place. You should go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.127380952; Sentiment_Subjectivity (from 0 to 1): 0.572619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 squeezed into this place seeking something healthy and hearty for lunch.  I noticed a "specials" chalkboard with chicken and roasted vegetable salad scribbled on it and decided to give it a shot. I sat on the benches outside and waited.  After a little while I was presented with a little white box that I couldn't wait to open once I got back to the office. .....Wow! A moist chicken breast section, surrounded by roasted tomatoes, eggplant, bell peppers, onions and mushrooms with lettuce and baby mixed greens accompanied by two delicious and large feta croutons and great dressing.   The best salad I've had recently.  I definitely will be paying them another visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.129285714; Sentiment_Subjectivity (from 0 to 1): 0.478571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ever since I studied in Greece, I have always looked for a decent Greek place no matter where I happen to be traveling. Now that I live in NYC, I had been pretty disappointed in terms of finding a quick, tasty and legitimate Greek menu. Sure, you could go to Thalassa or the like to have a real sit-down meal, but what about the quick occasions that you need something hearty and fast? Greek usually perfectly fits the bill, but I hadn't had much luck in the city until this place. Cozy little space with a very legit Greek menu, with all the favorites: moussaka, souvlaki, spanikopita, baklava and even a couple of Greek beers (though no Mythos, my hands-down favorite). Went there 2 days in a row after I discovered it, and been pleased both times. I particularly recommend the garlic potato puree with pita and the warm chicken pie with mushrooms for lunch, and the deliciious eggplant stuffed with ground sirloin and bechemel sauce for dinner, though it is a special. The baklava serving size is HUGE and it is really very good, certainly comparable with some of the best homecooked stuff I've had. All in all, very dependable and authentic Greek cooking, reasonable prices, good service and good atmosphere. Certainly worth checking out, whether you need a quick snack while wandering SoHo or want to come out for a casual but romantic dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22727245; Sentiment_Subjectivity (from 0 to 1): 0.5199593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 solid spot right near our apartment that we checked out a month or two ago. I've always enjoyed Middle Eastern / Mediterranean food, so I'm always game to check out a new place. The space is nice - trendy but not overdone, with only slight downside probably being that it's a bit cramped at some of the tables (though that's often par for the course in downtown NYC...) Food and service was very good - I had an enjoyable meal there and I'd say the menu was above average, though not blow-you-away stellar, and it feels a bit like they take advantage of the location to increase the price a bit. However, if you're looking for a solid, upscale Middle Eastern meal downtown, you will definitely not be disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.186337434; Sentiment_Subjectivity (from 0 to 1): 0.454575074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent place. Nicely and discreetly decorated, warm and romantic ambience and damn good food. Great place to go with that special someone, whether it be for a first date or a fiftieth. The dinner menu is great, with an interesting array of appetizers, entrees and specials. One of the times I was there, they had grilled mako shark as one of their specials, and I've got to say, I've had some great seafood in my day, but this certainly belongs in the pantheon of great meals. It was prepared perfectly, and had the lightness or a good piece of salmon with the juiciness and flavor of an impeccably done filet. I remember savoring every bite and considering asking for more! The desert was great as well and the whole meal, overall, was quite memorable. Definitely a must if you are in the neighborhood!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.525931677; Sentiment_Subjectivity (from 0 to 1): 0.620703934 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic - no two ways about it. Have stumbled in here at various hours of the night after a long evening of drinking and always end up leaving with a smile on my face and some high quality eats in my stomach. The oysters as well as the oxtail marmalade are simply phenomenal and always provide the right elegant, tasty and satisfying denouement to a night out on the town, whether you were dancing, just hanging out or drinking like a champ. The bartender on late night weekends is awesome and very friendly, and totally maintains his focus on service and attention even when the place is inexplicably buzzing at 3 am. Definitely has become a SoHo institution, and deservedly so. Definitely make your way over there as soon as you can!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198950893; Sentiment_Subjectivity (from 0 to 1): 0.648482143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went for Valentine's Day dinner last night - fantastic. We are veteran NYCers that have been to nearly every great restaurant spot in the city, but this was for whatever reason we'd never checked off the list. After making a reservation a month in advance (amazing it can still pull off that kind of demand 16 years in...) We arrived and were prompt seated - the menu was nice and varied. There was a standard 3 course prix fixed for a pretty reasonable $86 given the caliber of the food. There was also a Winter Tasting and a Vegetable Tasting (impressive range) in case you wanted to stray a bit. I had the crab in egg crepe (deliciously savory) and the rack of lamb (this is lamb as it should be done...) and my girlfriend had the lamb paperdelle (one of my favorite dishes anywhere - these guys nailed it) and the sea bass (wonderfully prepared). All in all, everything was just right for the crisp, cold evening outside - very savory, warm and deeply satisfying. The service was exactly as it should be at a restaurant of this reputation and price range - very helpful, but unobtrusive. Desert was ridiculous - I had peanut butter semifreddo (whatever the hell that is - hats off to them) and my girlfriend had warm bread pudding (mmmmm) all over a few glasses of well-recommended port. Then they sent us on our way with some packaged pastries - bravo to them for making this a great Valentine's Day.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.318412698; Sentiment_Subjectivity (from 0 to 1): 0.603968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When we lived on the Western side of SoHo, this was absolutely one of our go to spots (along with its neighbor - Ivo & Lulu). Didier, the jack-of-all trades owner/manager/sometimes cook there is a phenomenal host and one of the nicest guys you'll meet. Within our first or second visit there, he knew our names and when we were looking for a spot to throw my girlfriend's birthday party, we immediately settled on this spot. Not only did Didier readily accommodate our large party (~20 people) with a reasonable (and amazingly good) prix fixe menu, he made a show out of sabering a large magnum of champagne we had brought for the festivities and wishing her a happy birthday. An absolutely great spot for flawlessly executed French fare that won't leave you disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.270535714; Sentiment_Subjectivity (from 0 to 1): 0.549404762 [/INST] Not Spam</s>