Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Gramercy will give you what u want! Enjoy and enjoy the food and service^^ Great dinner menu! Nice job Gramercy Tavren! After coming to this place for so many times, I just feel that Gramercy is my to go dinner by myself restaurant:) man! I feel like going to the restaurant again now when I am writing this:) One more thing! People! Please do not follow or believe those reviews on yelp who are saying "oh this or that restaurant did not meet  their expectation." I am sick and tired of People who says that! those people who only go to those great restaurant once or twice and never go back. F your expectations! Remember, u are here to enjoy the food and service, so I am telling u, just enjoy, and go easy with your expectations. This is the only way for u to enjoy your moment with food. U r not here to fill up your expectations^^ Again, Gramercy will give you what u want! Enjoy and enjoy, just enjoy the food and service^^; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.355966553; Sentiment_Subjectivity (from 0 to 1): 0.661451247 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: AMAZING! One of the best meals I've had! Me and my friends split the duck burger, truffle burger, and truffle special burger. All were amazing, but my favorite was the truffle burger. The meat was SO fresh and juicy. The truffle flavor was perfect. The bread was slightly sweet and soft. Also, tried the truffle fries, and they were fantastic. The fries were thin and had a nice crisp. They were covered in cheese, and had the perfect truffle flavor. Split the Arnold Palmer ice cream bowl. It came with a scoop of green tea ice cream, snicker doodle ice cream, and salted caramel ice cream (Noramlly its limencello sorbet but they were out), and a huge soft and chewy snickerdoodle cookie. Service was great. Waiters and hostess were friendly and attentive. Will definitely be going back here!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.394642857; Sentiment_Subjectivity (from 0 to 1): 0.660822511 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything about Crescent Grill was fabulous.  Drinks were top notch, great beer selection, delicious food, and friendly service!  Burger was excellent.  Be sure to check out the art gallery.  Great neighborhood restaurant!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.70859375; Sentiment_Subjectivity (from 0 to 1): 0.798611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 walked out of here pretty satisfied with some greasy burgers, fries, and beers in my belly.  The inside is a hole in the wall, and that was exactly what I was looking for in a cheap burger joint.  It was pretty busy, but we got seated after waiting 10 mins or so.  Service was slow, and unattentive, but we knew that before coming in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.207142857; Sentiment_Subjectivity (from 0 to 1): 0.664285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dined in and ordered take out on several occasions.. thought I had written a review before... Anyway, I normally wouldn't eat at a restaurant with "B" health rating, but my father loves their beef rendang... Just yesterday I ordered some food to go and brought it over to my parents. We had their beef rendang, sizzling bean curd, Char Kway Teaw, hainanese chicken and a roti canai. If I had known that both of my brothers were going to be home that night, I'd had ordered more food.. =( I only sampled half a piece of bean curd, but I couldn't believe how tasty it was. Especially since I despise bean curd! The roti canai was okay, small portion... but L loved the chicken curry dip. Beef rendang was tender as usual, very flavorful. I didn't try the hainanese chicken, I've had it before, but it's just something I order for my parents. They love plain chicken...... I will always get the beef rendang from Taste Good, but the sizzling bean curd was exceptional, I've read the great reviews but never bothered to get it.. L and I agree, it's probably the best bean curd we've ever had. We wouldn't gotten another one on our way home, if it weren't closed. ;D; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.076488095; Sentiment_Subjectivity (from 0 to 1): 0.628075397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: From the Char No. 4 peeps, you know I am already biased in their favor. If you guys haven't checked out this Brooklyn bourbon/steak join, Go! But Maysville happily had the same gorgeous warm lighting, handsome and handy bartenders and the Spick Buck! My favorite bourbon and ginger beer elixir! ($11) The food was less steak and more Maysville, KY, which trended towards some seafood, pork and such. All very solid. Oh and those little cornbread muffin things. Just adorable. Crowd was quite eclectic, but such is the area. A very mixed bag-- from the drunken eastern european model wannabe who could not stand up straight behind me and kept falling into me (at least she was wearing a nice soft faux fur) to the williamsburg hipster asian tech guys, to the upper east side 50+ers... just a random crowd. And kindof loud on a Friday night. As an FYI.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.176833333; Sentiment_Subjectivity (from 0 to 1): 0.527866667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow I've had my good share of falafel sandwiches and all I can say is Fresh really Fresh and fast service really fast Falafel is not high in seasoning but the hummus was banging Lil tarty maybe cuz of the tahini but good..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3025; Sentiment_Subjectivity (from 0 to 1): 0.6175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Review for brunch: I came here during the late afternoon for Sunday brunch and was very happy with everything I ordered. The eggs rubirosa (poached eggs with smashed meatballs) are delicious as was the braised beef braciole sandwich and nutella bruschetta. I wanted to really love this place but the service was very disappointing. The waiter for my table changed 3 times and 2 out of 3 of them had a grumpy attitude, which was challenging to deal with when all I wanted to do was order food, get a refill on my water, and get the check. I would revisit at some point for dinner to check out their pizza. Hopefully the dinner service is more upbeat! See photos and read more about it here: maisondesreveries.com/20…; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.380625; Sentiment_Subjectivity (from 0 to 1): 0.76375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: GO NEXT DOOR TO JULIANA'S. My boyfriend and I went to Grimaldi's on a Wednesday afternoon and were greeted by the rudest staff I've ever encountered. After we were sat upstairs in a half empty dining room, we waited ten minutes for someone to greet us. Service staff all over the dining room were clearing tables and no one checked in with us. My boyfriend and I are both in the service industry and we know that this would be completely unacceptable in any other restaurant that actually cared for its guests. We decided to leave and go to the smaller place next door that offered the same product. After being greeted by our warm and generous server, lisa marie, and then eating what was probably the best thin crust pizza we told Lisa about our terrible experience at grimaldis. She informed us that the owners of Juliana's are actually the original grimaldis and that they sold they're restaurant name in '98. Point of this story is, Juliana's is actually the ORIGINAL grimaldis pizza and they will treated you ten thousand times better than the assholes next door.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.05515873; Sentiment_Subjectivity (from 0 to 1): 0.338888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here with my brother for some fun bonding time, this place is strongly recommended. We came in around 2 on a Sunday, of course I had screwed up and made a reservation for 3 weeks in the future. However, the extremely nice maitre'd seated us with almost no delay anyway. Pro-tip from her, even if you don't have a reservation, come in at 1:30 or later and you will likely be seated, or asked to wait only a bit. They purposefully don't book every table with a reservation. The place is huge and beautiful. Often booze brunches are held in places that aren't great and can devolve into drunken rowdiness but everyone was holding themselves together nicely. Onto the food and drink. 8 different types of sangria, most were excellent. I recommend the Spanish Harlem. Our waitress was super quick getting us additional drinks, and was nice enough to make suggestions. Food was very solid. Everything came out hot and was well prepared. As mentioned, things come out quick, so eat slowly if you want to get your full time of sangria. Strongly recommended to go with friends. I will be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.300641026; Sentiment_Subjectivity (from 0 to 1): 0.601474359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 some delicious pesto pasta here. The place has lots of character, the service is prompt and friendly and the prices are very reasonable.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.545; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 "happy accident" when the subway goes awry. The N train from 36th Street emerged above ground at the 8th avenue stop,  and we decided to pop up, and have lunch in a new area. Since this place popped up on my Yelp radar,  I walked a few blocks to get to it.  Passing by real world sweat shops and a chicken coop wearhouse, with hundreds of live chickens, gives this neighborhood an "old world" NYC feel. I love that. I'm relatively new to these Banh-mi sandwiches, but have been wanting to try them for some time now. At $4 per sandwiches, these are a deal. I tried 2 different sandwiches.  the shredded pork,  and the roasted pork. The bread and rolls on both were really fresh and great! The shredded pork tasted more like tuna fish than pork to me....but oh well.  However, the roasted pork was excellent, and really tasty. I'd like go back and try every variety they offer. At $4 per sandwich at this level of quality, really scores this 5 stars. I don't mind if it takes a while for the order to pop out (nearly 10 minutes) or if the seating tends to be a little cramped. (there are 4 small tables with varying numbers of seats. Overall great value. Great taste.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236316288; Sentiment_Subjectivity (from 0 to 1): 0.467045455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Charming ambience, fine bistro fare, small but satisfying wine list, authentic desserts, friendly and attentive service . What's not to like? We live in Flatbush/Fiske Terrace area, but are happy to make occasional visits to this Windsor Terrace outpost of French comfort food and relaxing dining.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325275482; Sentiment_Subjectivity (from 0 to 1): 0.606818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Should of had the chicken and waffles. Just had the honey smothered fried chicken, Mac and cheese and collard greens. I have to say I was very disappointed w the Mac and cheese. The fried chicken was really greasy. Overall disappointed. Boo; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.475; Sentiment_Subjectivity (from 0 to 1): 0.682142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's very understated Japanese and despite the method of getting in, bohemian is a pretty awesome place. Things we loved: oysters, mini burgers, short rib waygu sashimi Not really that big fans of the froie grois soup as it was cold.  That's just my preference. Would highly recommend the Nigori Sake! Will be trying Bohemian again; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.165; Sentiment_Subjectivity (from 0 to 1): 0.524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a great restaurant!  The food is fantastic and the service staff was speedy and kind. OH, and knowledgeable ... they knew more about the whiskeys than this self-proclaimed snob does.   But really, go !  Go for the food!  The atmosphere is hip and comfy.  And they sell bourbon. I had a whitefish app, the brick chicken main, and the bourbon ice cream dessert.  Every step was GREAT. ... OH, how I needed this good meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.431018519; Sentiment_Subjectivity (from 0 to 1): 0.653703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worst service ever. It turns out that if you aren't draped in furs and have an attitude to boot you won't get your water glasses refilled, you certainly won't get bread, and forget about bread. Our server hardly spent a moment to go over other items on the menu, and would walk away for extremely long periods of time without checking in on us. I unfortunately can't give less than one star, but if I could I would. Also it's a kick in the mouth considering it wasn't that full, and he easily could have handled the three tables. So if you want half assed service and terrible wait staff then please do come.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.191883117; Sentiment_Subjectivity (from 0 to 1): 0.551190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seriously, the best Chicken & Rice I've had in the city! Something about the rice and the sauce just makes it so good! Plus the fact that it's super cheap! Usually we come when we're a bit tipsy after a night of drinking, and it tastes like the best thing ever! But I actually did stop by during the work week and it's still just as good my friends! If you're in the area, or even if you're not, and you're craving Chicken & Rice, you should totally check this cart out!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220833333; Sentiment_Subjectivity (from 0 to 1): 0.569444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 excited about having dinner at Employees Only because of all of the rave reviews. If you're going for drinks, then just be warned that they are expensive but delicious and strong, so worth it. However, dinner was terrible. The only thing that was actually tasty was the arrugula salad because of the dressing. We ordered gnocchi, pork chops, and the fish...all terrible. Absolutely no flavor at all. It is amazing that something wrapped in bacon still has absolutely NO FLAVOR! Terrible food!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.072619048; Sentiment_Subjectivity (from 0 to 1): 0.791666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place! The atmosphere is charming and warm; the courtyard in the back is lovely on a warm spring or a cool summer evening.  This place has an awesome selection of wines and cheeses and I always end up ordering more of their delicious focaccia bread.  I have been here on at least 6 or 7 occasions and I have yet to be disappointed!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.386458333; Sentiment_Subjectivity (from 0 to 1): 0.654166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A bit overpriced for a casual dinner. Apple pie was amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.883333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a place is packed on a random monday night, its good! Ended up being about a 20 minute wait, but the Host told us to go next store to Von, a busy hipster bar. Drinks $8 but I'd rather drink then watch other people eat. The host came and got us. Great Service!! We ordered Crispy Artichoke and Fried Parsely as an appetizer.... Very random I know..but very adventurous I had lasagna-very meaty on top she had-linguine with seaford with wine and a beer under $50 We sat next to the Designer of Pegleg; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.185; Sentiment_Subjectivity (from 0 to 1): 0.4675 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The new interior and menu is gorgeous. Try the Lamb Shanks...AMAZING! Love this place, the staff, the Tequila...our favorite place in NYC. X; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.502840909; Sentiment_Subjectivity (from 0 to 1): 0.738636364 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was originally not going eat much because BBQ is so unhealthy but the smell got to me and I ended up eating more than the three male friends I came with. This is one of those establishments where you line up, get your platters of meat, pay at the register, and sit at the wooden tables to dig in. You see all sorts of people line up, including professionals in their formal business attire. It's nice to see that wearing nice suits won't stop people from enjoying delicious BBQ. I recommend to get the sandwich if you want more food. They give you the same amount of meat for the naked and the sandwich. It actually seemed like they gave you more for the sandwich. It comes with cole slaw (creamy or vinegar) and pickled vegetables (cucumbers, chilis, onions, celery). Highlights were the brisket and pulled pork. Get the sides! They are so worth the extra calories. I enjoyed these even more than the meat. Meat: Brisket - Unbelievably tender and my favorite of the meat we ordered.  And it doesn't need more BBQ sauce because the meat is already really juicy but it tastes even better with it. The BBQ sauce itself is sweet and sour. It was so good that my friend decided to take some home to put on his bok choy.   Pulled Pork- This is on par with the brisket, except this is already soaked in BBQ sauce. Adding more sauce only makes it taste better. This was my second favorite. Spicy Sausage - I really liked the kick the sausages had. The brisket and pork kind of started tasting the same after a while, so this was kind of nice as a palate cleanser, if sausage can be thought of as a palate cleanser... Burnt Ends - These came in chunks. They were delicious, but not as good as the brisket or pulled pork. Slightly less tender. Spare Ribs - Avoid these. They were tiny and extremely dry. Sides: Sweet Potato Casserole with Maple and Pecans - By far my favorite thing I ate that night. I thought I wouldn't like it because the maple would have made it sweet, but this was amazing. The sweet potatoes paired with the savory pecans was addicting. I would have been happy just eating a large container of this all night. Burnt Ends Baked Beans  - Amazing baked beans with more meat! Much better than the burnt ends by themselves. I would skip the burnt ends and just go for the baked beans. Amazing BBQ establishment and really lives up to the hype. My one gripe is that they should wait for everyone to leave the table before clearing it. I left a cup of baked beans and some moist towelettes on the table to throw away my garbage, with the plan of eating the baked beans as we walked out the door. Our table was literally right next to the trash can,and without asking the waitress threw the towelettes into the cup of baked beans and whisked it all away. Really sad to see such a waste of good food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306922043; Sentiment_Subjectivity (from 0 to 1): 0.561789555 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 don't think this place is anything to write home about. I've tried to like it, given it ample chances to impress me, but I don't plan on going back. There's really no reason to, other than the fried pickles, which I have to admit are delicious. The atmosphere is cool -- very dark, wooden, hipster-y. I have two main problems with this place: 1. The menu is extremely limited. Burgers, mac and cheese and grilled cheese, but that's pretty much it. None of it was bad, but it's just nothing special. 2. The bartenders I've had really weren't attentive in the slightest, and act like they're doing me a favor to pour me an expensive drink. It shouldn't take 15 minutes to get a drink here. I just didn't really feel like my business was appreciated here. This place reminds me of a not-as-good version of Sparrow, on 24th Avenue.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.096441103; Sentiment_Subjectivity (from 0 to 1): 0.418909774 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'll keep it short since there are 3000 other reviews already... Definitely a thumbs up. The ramen noodles are super thin which is unique. Go for lunch if you don't want to wait in a gargantuan line. Stick with the classic ramen (do NOT order the tori ramen). Order the shishito peppers, and if you're feeling hungry - kaedama :) Why not?; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.088888889; Sentiment_Subjectivity (from 0 to 1): 0.628703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a place I would go to more if it weren't so crowded.  I'd give the food 3 to 3.5 stars, and the experience of sitting outside people watching on Mott St. 5 stars.  Not that the food is bad, I just think the atmosphere on a nice day makes it all better.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.18; Sentiment_Subjectivity (from 0 to 1): 0.543333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this restaurant so much that I eat there at least twice a week; I call it My Kitchen. The food is so flavorful, generous and economical. You won't be disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.01; Sentiment_Subjectivity (from 0 to 1): 0.57 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grilled Cheese...with real cheese...for adults...delicious!  The place focuses on sophisticated grilled cheese with well matched ingredients and artisan breads.  It also has a respectable list of specialty beers, bottled and tap choices, ciders, select wine (reds, whites, and rose), and specialty sodas. Our table tried a Gouda, a Gruyere, a Manchego, and a Fontina sandwich.  It was all very delicious.  If you're a cheese rookie, start with the Gouda. Great experience, awesome people, hip decor. Cash Only!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.58125; Sentiment_Subjectivity (from 0 to 1): 0.8125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid four stars. Prices are decent and the food is great and authentic.  The arepas are good, but you should ask your server for recommendations b/c their menu is really large. One of my favorite things was the white cheese Chachapas.  Very unique and tasty.  Can't wait to go back, it was a good find.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.369859307; Sentiment_Subjectivity (from 0 to 1): 0.535930736 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Having gone to culinary school in Switzerland, I ate my way through Germany, Switzerland and Austria. Cafe Katja is serving better food than many of the meals I experienced while living there. The liter beers were ice cold, the sausage and sauerkraut perfect and the dutch white asparagus were the best asparagus I've ever tasted. They must have been half an inch around and extremely juicy and flavorful. Dining here brought back many memories of Europe and recreated dining experiences I am most fond of. Will return soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.31025641; Sentiment_Subjectivity (from 0 to 1): 0.48974359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolute favorite Thai restaurant! I always make it a point to stop by whenever I'm in the area. The food is delicious, reasonably priced and very well-portioned.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.445; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: **4.5 stars** Wow. I almost forgot how much I love Peruvian food. So glad Surfish opened just to remind me. Came here on a Friday night for a birthday celebration with some friends. Made reservations for the evening a couple of weeks before and the day of they called to confirm. Due to the miserable parking on 5th Avenue we were 10 minutes late for our 8 o'clock reservation, but had no problem sitting outside and having a drink while we waited for a table inside to open up. Really my only qualm I had the whole night was the wait outside since it was chilly. We kicked the night off with Cusquena beer and ordered up the Ceviche Mixto and Anticuchos to start. Mmm they were perfect. Highlight of that part of the meal: One member of our party, a big burly man, was scared/hesitant at first to try the Anticuchos. Upon discovering the awesomeness of the cholesterol packed delicacy he tweeted: "I just had some beef heart during dinner. It was pretty damn good. I want to eat the heart of other mammals now." Other items that we ordered and shared: Zapallitos, Chicharron Sliders, Carnitas Taquitos, and the Lomo Saltado. They were all good, but what stood out the most was the Lomo Saltado. They cooked the steak PERFECTLY. It was not only bursting with flavor, but also rare and juicy. It could only be described as, "That steak is like whoa." Yep, like whoa. We topped off the night with a couple of plates of Churros that came complete with a scoop of ice cream. Needless to say I think I found my new favorite Peruvian spot in Brooklyn. I look forward to exploring their vast assortment of ceviches and the other delicious sounding tapas on the menu. I also loved that the chef came out and took pictures with excited customers. It never fails to make me happy to see good customer service employed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.207063882; Sentiment_Subjectivity (from 0 to 1): 0.673996724 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had a chance to see what the "Happy Hour crowd" vibe was here and wasn't disappointed.  You know that large office group that kind of takes over a huge section of the bar and might be getting a little too loud, but you're happy for them b/c they are having a great time and it's a sign that this is "their" place?  That's what was going on, and it created a fun energy. My original plan was to belly up at the bar, but my friends and I had to grab a booth in the back.  I'm glad we did b/c it opened up a whole new world to me.  Each booth has their own personal TV and the booth felt just the right amount of isolated so my friends and I could talk, enjoy the game, and get great service. Our server Ann was so spectacularly fast that I almost couldn't believe it, b/c she was working hard w/ the above mentioned office-happy hour.  I never had to wait for a drink and she had great food recommendations.  The wings and sliders remain excellent.  The calamari had good potential but came out slightly (ever so slightly) under cooked.  All in all a good time was had. One point deducted b/c the need to update their website AND scrolling advertisements on their in-house screen.  Both said they still have their Wednesday Prime Rib deal but that is no longer true. Side note....Really bummed out about Leah J's review below.  I hope management sees it and addresses it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.27572314; Sentiment_Subjectivity (from 0 to 1): 0.621025187 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on the weekend for lunch, very loud and over 30 min. wait time.  The food was tasty but the noodle soups were overpriced for what you get.  The appetizers were better than the noodle soup.   I never read in any of the reviews that you might have to share a table with other customers, not great if you are sitting at a long rectangular table, with strangers so close across from you...awkward while waiting for your food and not suitable for personal conversation. We did learn from another customer that you can request additional noodles for free if you still have extra soup left from your bowl of noodle soup.   Service was attentive, however, our waiter seemed to have acquired an attitude after he saw my husband try a little of the extra noodles (free) that I had ordered to finish my soup; since my husband had ordered a different kind of noodle soup, I thought he might like to try a bite of my noodles initially before I finished them up...what's the big deal?!  The waiter definitely pist me off.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.073289474; Sentiment_Subjectivity (from 0 to 1): 0.493421053 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Inconsitent pricing to individual customers, Very secretive in their pricing Do not pay more than 5 dollars for lunch combo lamb, chicken With disappointment Mad At Food; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.1875; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Before the Yelp social happy hour came into this LES haven, I was already here chugging away at their super reasonable drink specials.  Oddly enough, I thought most bars in the area were like this one, I didn't realize what a gold mine I had found for a happy hour spot.  Alas, the popularity soared and the place became more crowded than ever. The place gets super stuffy after 7PM on Thursday / Friday nights, and finding places to stand let alone sit down can be a real pain.  Though the place isn't all that large (few bars in the LES are), the decor is charming and adequate enough to be inviting to the masses.  The drinks are good and unless one has the luxury of using a cocktail waitress, finding a way to the bar can be troublesome.  Patience is a virtue and Verlaine understands this, that's why the drink specials last all the way till 10PM.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.257477026; Sentiment_Subjectivity (from 0 to 1): 0.532497911 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been here a few times...It's nice to have a larger space to sit outside when the weather is nice. And with that said, it can get really crowded! Food is fine, but is a pain to order...you end up waiting in multiple lines. $8 slushie mojitos seemed a bit pricey for Fort Greene.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208333333; Sentiment_Subjectivity (from 0 to 1): 0.41875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 i've said before i'm a blue ribbon ran. however this blue ribbon is even more casual then the location in manhattan. I love that this location is a combination of the brasserie and sushi. Its like 2 restaurants in one! however i dont like that they dont offer the foie gras here! They really need to put that on the menu. Also they have a great menu for children!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.283035714; Sentiment_Subjectivity (from 0 to 1): 0.445238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Given the option in Bed Stuy to do or don't dine here, I'd opt for don't. If I wanted to eat deviled eggs, drink a rolling rock, and blast Jay-Z to a conversation killing volume I would prefer to stay home with leftovers from last Sunday's softball potluck-- and I wouldn't have to wait 45 minutes, or have to consider a $3 Rolling Rock a novel treat. Perhaps it was a moment of poor ordering, but my octopus taco was lackluster and inferior to most New York taquerias, the nachos tasted like frozen gyoza expertly pan fried , and the E666, besides being fucking obnoxiously titled, failed to pair rich and salty flavors in a way that was more than the sum of their parts. Honestly, this restaurant is one of the more over rated experiences I've had in Brooklyn. The food was whatever..., the wait was long, and Do or Die's hyper cultivated image reeked of a swaggering pretension that borders on offensive. Given all the dining options in Brooklyn, or even all the dining options one has in general in this world in a lifetime, there's no reason to make this restaurant one of them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.092613636; Sentiment_Subjectivity (from 0 to 1): 0.52260101 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for early Mother's Day dinner, the staff is friendly and nice. The portions are just right and all dishes we've had are not bad, just a little too strong for my liking. The chicken francese and the caprese pasta was good. Will come back occasionally, to try the rest of the menu. Love the panna cotta -vanilla bean for dessert.The lights inside are  too dim!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.206272894; Sentiment_Subjectivity (from 0 to 1): 0.539285714 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Loved this place. Great ambiance, good music, amazing food. Really so very good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.742; Sentiment_Subjectivity (from 0 to 1): 0.766 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Its so good. I have yet to eat something I do not love. Will be back many many many time.s; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their food is so amazing. I would have to say that it's the most southern restaurant in the city that i have ever experienced. Everything about this place is great, the people, the food, and the comfort that they give you.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.54; Sentiment_Subjectivity (from 0 to 1): 0.61 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thank you Yelp for helping me find this place and boy did it not disappoint!  Drinks were great, cool atmoshere, great crowd, friendly bartenders... Definitely coming back. Although it should be noted they do not have happy hour specials.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.446428571; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh Num Pang, why do you close so early? I want to savor your sandwiches around or past midnight. Especially since you have a seating area upstairs despite being a whole in the wall. Since there are no employees upstairs, I could secretly enjoy 1/3 of my six pack illegal and comfortable with a friend or two. Perhaps I understand why you close so early! Down to business, your $6-8 will go quite a long way in getting you a feels bigger than it looks sandwich packed perfectly with balanced flavors. So far I've only had the brooklyn sausage one and it was great. My friend was really happy with his, I think it was their most normal sandwich? Has anyone spotted a pattern of uncertainty in my reviews yet? Shhh; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.201080247; Sentiment_Subjectivity (from 0 to 1): 0.61882716 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 being generous with the 2 stars only because this place deserves a little more than just 1. Having been to Amy Ruth's in Harlem, I was more than ecstatic at trying a chicken and red velvet waffle dish (main motivation for visit).  Needless to say Soco was disappointing. When you think of Southern cooking and soul food you think of flavorful and savory, so good but so bad because they clog your arteries type of dishes. Not this time. The gumbo appetizer had a nice touch of spice, but still needed salt. When my chicken and waffles came, the waffle tasted like a regular buttermilk waffle that was on the dry side. As for the chicken, some would argue the Colonel at KFC prepares his better. Again there was a lack of flavor and an abundance of cooking oil in the batter. The  lack of seasoning continued to be a trend on the menu as my mother's "pecan crusted" pork chops were merely chops whose breading must've turned into tasteless mush by the time they got from the kitchen to our table. Soco is described as southern fusion cuisine, but somewhere in the fusion the south must've made an illegal U-turn and headed back home. Positives: The overall ambiance was nice, music a little loud where you had to have a screaming match with your party, but at least the bathrooms were clean and the hand soap smelled yummy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.065804598; Sentiment_Subjectivity (from 0 to 1): 0.556100796 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'd wait in long lines, entertain loud, obnoxious kids, dance around in my underwear, and pretty much do whatever it takes to get that unbelievably delicious Sicilian slice.     Anytime.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I tried this when the last time i visited New York and I wanted to like it so bad because I've heard rave reviews but i think its just not my cup of tea. Its just overly creamy for me and not much artichoke : /; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.182727273; Sentiment_Subjectivity (from 0 to 1): 0.477575758 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place! The boyfriend took me here for my birthday and we had a great time. First, skip the wine and get the whiskey cocktail. It's amazing. We started with the fried oysters which I was apprehensive about. But no smell, no slimey texture that I usually hate! The sauce was delicious, and you get a solid 5 or so. Next, we split the quinoa hushpuppies. I'm from the Midwest and he's from the south, so we are not easy to impress with hush puppies - but they were delicious. This is a must get. Finally, the steak was good, but unoriginal. At the end of the day, it was a well cooked piece of meat. I could have gone for a bit more flavor or creativity with the sides.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.316666667; Sentiment_Subjectivity (from 0 to 1): 0.626190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to this place many times for a quick casual brunch for $12 - you get a drink of choice with it. It does truly remind me of a French place that is warm, cozy, and service is on point.  I'd definitely recommend for people to try this spot.  Never been for any other meal, though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.076041667; Sentiment_Subjectivity (from 0 to 1): 0.511458333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bar Tano is so very lovely.   Lovely in the early afternoon with crazy sunlight streaming in.  Lovely to just sit at the bar and admire the detailed handiwork and care that went into creating such a fantastic space.  Lovely Brunch, Lovely Dinner.  Lovely selection of wines and exotic Italian digestifs (and cocktails too).  Lovely for a nightcap after the Bell House or just because you're passing through Gowanus.   Love Bar Tano!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.338333333; Sentiment_Subjectivity (from 0 to 1): 0.695 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not a shill or someone given to over the top reviews. But lunch at Bouley today was my best meal in NYC ever.  I've entertained clients over the last 10 yrs at the best restaurants in town. Sublime. I'm mystified that this has received under five stars by other reviewers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.308333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The fun, adventurous aspect of communal eating is captured perfectly at Feast, a restaurant in the East Village that opened earlier this year. Except this is a potluck thrown by some of your most stylish and interesting friends who all happen to be amazing cooks. Feast has carefully curated three different tasting options (vegetarian, scallops or pork) so that you can have a dinner party that fits the mood you're in. The one thing to note is that everyone must participate in the same feast, no mixing and matching allowed. So choose your dinner companions wisely (meat lover + vegetarian = disaster), or learn to be a good friend and compromise! Luckily my friend Cat was up for anything and has a great palate, so we were both on the same page and opted for the vegetarian farmer's market feast. I chose this option because I think a successful vegetable dish is a true test of a restaurant's skill. Feast was able to pull off this amazing feat of preparing vegetables in unexpected ways many times over. I was most impressed by those dishes that drew out flavors not typically associated with vegetables, like the leek tart, the pea falafel in the trio of pea tastes, and the stuffed artichoke.. Eating the leek tart was truly a mind-trip. It looked and tasted like a bacon-flavored quiche, but there was absolutely no meat in it. The fava bean agnolotti, while not the most innovative dish technique-wise, was my personal favorite. The pea soup was also more traditional, but I was struck by how much of the pea's natural sweetness really came through in the broth. The fried vegetables were a hit-or-miss, depending on how crisp or soggy they were. Not every innovative pairing of vegetables was entirely successful. The burrata and beet felt a little incomplete, as did the carrot risotto, although the crispy poached egg on its own was pretty impressive. And I would have preferred if the kale salad had retained its crispy texture--steaming the leaves made it seem too much like Popeye's spinach. Our veggie feast ended on a high note with the strawberry rhubarb shortcake. Sometimes shortbread can be really dense like a biscuit, but the shortbread in this dish was light and airy. The strawberry and rhubarb glaze was excellent, and the vanilla whipped cream held everything together very nicely. What made this dinner at Feast stand out was my recollection of how excited I was during the whole meal. Everything about that dinner was such a sensory pleasure, both visually with all the beautiful interior rustic fixtures and mason jar table settings and gustatorily with the inventive and memorable dishes. I truly enjoyed being a guest at this East village dinner party, here's to hoping that I get invited back for a second and third round!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.364486111; Sentiment_Subjectivity (from 0 to 1): 0.634416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 from Mexico City, so I know tacos, especially "Al Pastor" which are called "Adobada" here, and these are the absolute best tacos I've ever had outside of Mexico. Actually, they're better than many in Mexico, it was an absolute joy to have these and if I could, I would've had 20 of them. The Aguas Frescas are terrific too, I had the Horchata but they all look amazing. It was crowded and with a long line, but it was a short wait, and totally worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.289285714; Sentiment_Subjectivity (from 0 to 1): 0.510714286 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food but perhaps even greater drinks, as authentic Scottish it gets abroad. Highly recommend the Haggis and Sheaperds pie & Beef Wellington, gamy but not too much. Cant wait to go again; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.432; Sentiment_Subjectivity (from 0 to 1): 0.548 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Space was super cute- it seems a bit narrow when you first walk in but then the further you walk back you see the gorgeous open space (and open garden area)! The service was great. Very well times and very good about not interrupting the conversation my friend and I were having which is always nice. The food was good.  I found it a bit salty for my taste but after all we did only order the mad calamari, rice balls (which came out a little cold in the middle), and the chicken parm with pasta.  My friend and I split this and we were stuffed- good portion sizes! Will have to go back to try the magic mushrooms and veggie sides!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.186123188; Sentiment_Subjectivity (from 0 to 1): 0.620869565 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Introduced to me as a "chefs' restaurant" because the food is that good and the kitchen closes at 4am Blue Ribbon is a great place to hit after a late night flight whence in search of good cooked meal. The problem with a chefs' restaurant, however, is the nepotism shown to those who are obviously in the food service industry; and I get that but that doesn't mean I subscribe. I ordered the Skate without the bacon for my entree but started with the Fried Oysters. I was not disappointed at all! The Fried Oysters were tasty and succulent! The condiment they were served with were the perfect accompaniment but I could have devoured them without. The skate was really good and the potatoes it was laid on were just as tasty! The food was great and the atmosphere was lively. The cost is pretty hefty and a two person meal can easily run you $100 plus. All in all my experience was pleasant but was told I should have gone to the Brooklyn location! I guess its now on the list...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.433257576; Sentiment_Subjectivity (from 0 to 1): 0.6825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was great. Friendly staff, great atmosphere, and delicious food! I had the Mi Amor arepa, a side of the Tajadas con Queso, and the Jugo de Parchita. All that (and solid portions) and I only paid $11. (It was a lunch special.) I got more food than I had expected! It was unique and very tasty. I really appreciated the different flavors in each item. My only complaint was that it was a little hot in there for a June afternoon. I look forward to going back to this place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.235813492; Sentiment_Subjectivity (from 0 to 1): 0.562301587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Butcher Bar is fantastic! We had a dinner there for a low key wedding, and we could not have been happier with everything. The food here is delicious (oh those burnt ends!), and the service was great, too! Kathy was great to work with and definitely helped make our event run smoothly. She was very responsive to our questions and flexible about everything we wanted to do. She even called me early in the day to see if we wanted to move our party to the back garden, since the weather was so nice! We would definitely recommend Butcher Bar, either as a casual dinner spot or to host an informal event.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.303571429; Sentiment_Subjectivity (from 0 to 1): 0.619047619 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: delicious tacos--and they do veggie tacos right! it's rare to find a good veggie taco made with love, and gueros does it right. i highly recommend the fried avocado.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.471836735; Sentiment_Subjectivity (from 0 to 1): 0.673061224 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, is this what I've been waiting for all these years? Those were my thoughts as I opened the door.  It was 11:50 am and there were 41 people ahead of me in the line waiting patiently. There was no bouncer at the door to remind one of the tacky experience of buying cupcakes of quality that would make one weep more than by watching Steel Magnolias. It did make me smile. After more than four and a half years of reviewing macarons (including 2+ years of clarifying to people the difference between macarons and coconut macaroons!) and flying in macarons from across the country and across the Atlantic all the while watching multiple generations of Magnolia clones, bankers turned bakers and corner delis sporting large cardboard signs screaming CUPCAKES (next to those for phone cards) mint money from Freudian psychology- finally the day had come that there were more customers waiting in line at a shop selling macarons than at the flagship locations of Magnolia, Crumbs, Molly's, and Baked by Melissa COMBINED.... Yes: I went around to compare. It generated more adrenalin than a victory lap. I must also confess upfront that I am slightly biased against Laduree, and am in the Pierre Herme camp. This is mainly a result of my conviction that Laduree lags Pierre Herme (and others) in most pastries, and even croissants (I mean seriously, have you had the Ispahan croissant? Now that takes baking to the level of an art!). That should not detract from the fact that Laduree makes outstanding macarons, arguably "the best". However, I find it simplistic to say "best", for any top tier patisserie in Paris makes excellent macarons and on any given day Sadaharu Aoki, Dalloyau, even Jean Paul Hevin (and others) - not just Pierre Herme can compete with Laduree for top honors. While there may be production variability by day, there is also overall consistency by flavor/design, and so I would similarly be hard pressed to find anyone other than Laduree making my favorite versions of Cassis or Orange Blossom (Fleur de Oranger). There can be no doubt on the quality of the macarons in the NYC shop, for they are flown in, and the only question is as to how they've handled the transatlantic travel. While I don't understand the assertion that they are flown in fresh daily (they don't need to / can't be fresh off the oven, nor do economics justify anything more frequent than a weekly flight, as is the case with LMDC) - I have limited issues with the NYC ones aesthetically or texturally. Though, I did find the jam ones (Raspberry, Strawberry) somewhat of a softer texture than the others (also a complaint in prior reviews), but they held up fairly well to the bite test. Obviously, once local baking in NYC commences, it would be time for a review update. But for now, I am thrilled that Laduree has arrived. At $ 2.70 for a small macaron these may be pricier than what you'd find at say a Little Oven, but for the price point I find them infinitely superior to the B of FP at Ho. Service is courteous and efficient. I was greeted at 12:20 pm by a server who wanted to know the details of my purchase. I paid and left at 12:35 pm, and the 45 minute door-to-door has been the average wait time earlier as well. My heart did go out to the distinguished, graceful elderly lady who left after waiting 15 minutes while politely wishing us well.  I tried to while away the time first by reading and then by engaging the attractive girl behind me in a conversation. But, upon finding out that she didn't like macarons, and was only there to help out colleagues, the conversation just died. I mean, WHAT could I possibly have in common with someone who doesn't like macarons? Really! J/K With another Laduree outlet expected to open in Soho in Spring 2012, the only real question left is: what are YOU waiting for, Monsieur Herme?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.160470336; Sentiment_Subjectivity (from 0 to 1): 0.478766589 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I've been to NY once and during my 5 days in NY we went here twice. I am from the bay area and we have some legitimate ramen joints. Ippudo can easily keep up.  I tried the akamaru modern and the karaka men. Since the akamaru modern was better that is what I am talking about below. Here is what I look for in Ramen: Complexity/Deliciousness of Broth - 5 - Akamaru modern really stands out in comparison to a lot of broths. Unlike my hometown favorites Ippudo seems much more adept at combining miso, garlic oil, and tonkotsu into an amazing broth. Noodles - 4 - Their noodles are pretty good Pork - 5 - Their regular chashu was good and their kakuni was delicious Toppings - 5 - Two types of eggs both with a yolky center Appetizers/other food (side category not important) -  5 - Pork buns and an assortment of other delicious appetizers. Is there a catch? Only if you don't want to pay a little extra for some excellent ramen.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.339583333; Sentiment_Subjectivity (from 0 to 1): 0.594784382 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 all set to like this place. Great location, fun dirty-hipster ambiance, unbeatable prices. $3 mimosa with brunch? I'm on board. The woman at the bar was friendly and quick, our mimosas were in our hands almost immediately. And that was where it ground to a halt. The minutes ticked by, the mimosas were drained, and no pancakes in sight. In fact, I only saw two plates leave the kitchen in the whole 45 minutes we were there, since we were pressed for time and had to leave hungry. They looked good, but I sure hope whoever got them enjoyed them, because everyone else was sitting there hungry. My ticket was only for two people though - not sure how pancakes and a breakfast burrito can take 40 minutes, even if the kitchen was "really backed up", as we were informed. I did feel bad for the lady out front - as the face of it, she's got to try and smooth over everyone else's mistakes, and to her credit, she did as well as she could with what she had. I was almost tempted to give a second star just for her - but in the end, I can't justify it for a place where we never got our food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.223888889; Sentiment_Subjectivity (from 0 to 1): 0.586296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 must have gone at the right time because there was no wait and I got a perfect little table in the back garden to myself. I'd already visited the Manhattan location and was craving their egg dishes. Everything on the menu I've tried is outstanding and I'm particularly obsessed with their Za'atar covered pita bread that comes with a lot of the dishes. Messy but worth it. I hung out enjoying the mint tea with honey and an almond pastry in the sun. It was magical. I'll be coming here all the time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.219821429; Sentiment_Subjectivity (from 0 to 1): 0.601071429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here for my birthday.  It was incredible!  The food was fantastic and the atmosphere was outstanding!  This is as good as "french style" food gets!  Their brunch...forget about it!  I had the duck dish and it literally melts in your mouth.  Will definitely be back again and again...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.454166667; Sentiment_Subjectivity (from 0 to 1): 0.545833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 waiting to come back here from Cali for years!!! Homemade noodles and cha Sui bao.  Thankfully everything is just as good as before... 3 years ago!  BEST BEEF NOODLE SOUP IN THE COUNTRY!!  The cha Sui bao is nothing to shake a fist at either.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went there for lunch with a friend and had the steak sandwich and it wasn't a pleasurable experience. The met was so tough I couldn't bite through it, so I kept pulling full pieces out of the sandwich with every bite. Flavor-wise, everything was OK but the over cooked meat ruined the experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153703704; Sentiment_Subjectivity (from 0 to 1): 0.627777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 won the lottery, I would buy a huge apartment across the street and eat at Marlow & Sons/Diner every day, and that's what I would do with my life.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 eating at/ordering from Ruby's since moving to Soho in April. Over the the past 6 months I've noticed a serious decline in the quality of the food. The roast pumpkin salad - which was my favorite item - should now be called a pumpkin salad since there is no roasting ever. Cold, hard pumpkin really isn't appetizing. Their pastas also have become more gummy, the texture of the Alfredo sauce reminds me of paste. Ruby's used to be my go to for a quick, easy, tasty meal, but I won't go back anytime soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.049166667; Sentiment_Subjectivity (from 0 to 1): 0.589166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I liked the layout inside - at and around the bar area. They have quite a few tables laid out inside and the decor too is very unique. We sat outside for dinner one weekday evening - the place was packed inside out. We started out with a dozen fresh oysters - very very good ones! I had the Roasted Chatham cod there which was cooked to perfection and the flavors very delicious - the sauce was a rich lobster sauce, and went very well with the white flaky cod. My friend had the fillet which too was made very well, and was served with bone marrow - yum, yum, yum! I had the MOST AMAZING (hands down) Panna Cotta - now I am a Panna Cotta addict, and try that almost most places where they serve it. Everywhere I go the flavors are either perfect or sometimes okay, but this place the texture, consistency and flavor are all SUPER GOOD! Will go back there just for that :). Any place that can make a perfect Panna Cotta - wll always get a 5 star from me :).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.441968599; Sentiment_Subjectivity (from 0 to 1): 0.588502415 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 favourite restaurant! The food is so fresh and amazing! Our waitress was a little overbearing but the entire experience was still five star! Love it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2975; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Is it possible that a place this amazing exists?  It DOES.  Everything is amazing.  The portions are great for the price, so I often go with friends and we share stuff.  Plus, getting a carafe or half carafe of the house wine makes for a perfect evening.  The service is impeccable and the owner will often times stop by the table to say hello.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.511904762; Sentiment_Subjectivity (from 0 to 1): 0.780952381 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had an amazing post NYC marathon meal here! So happy I was able to walk after the race and make it to our reservation. To start, we were lucky enough to snag the last homemade ricotta, which was delicious. It was paired with figs and buttermilk crackers. We then shared the roasted mushrooms and the combination of mushrooms with pancetta and fried egg created such  a unique flavor combo that was unlike anything I have had. Definitely check it out if you are a mushroom fan. For our entrees we shared the linguine nero and the garganelli. The linguine was my personal favorite, but both pastas were delicious. For dessert we ordered the olive oil cake and it was the perfect way to end the meal. There was not one miss at L'Artusi; we enjoyed everything from the wine to the great service. I have been to both Dell'anima and L'Apicio and I now understand why L'Artusi is the only restaurant that requires you to book a reservation at least one month in advance. It was a great meal to end an incredible day and I cant wait to come back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.426587302; Sentiment_Subjectivity (from 0 to 1): 0.701190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lovely ambiance! Found this place on yelp and the reviews were true to what the place is. I had the gnocchi which was wonderful-light and fluffy and overall delicious! We went early so did not need to make a reservation. My friend and I checked out the back area and it seems like a perfect back room to rent out for a small gathering. The staff was incredibly nice and I can't wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.26875; Sentiment_Subjectivity (from 0 to 1): 0.458333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG good!  we went on a thursday and got there about 7:30 - brisket was sold out... bummer. BUT - there was minimal line, when we left it was out the door heading towards the street!  I would say travel in packs - divide and conquer, have a good strategy for ordering and finding a seat.  it was our first time and we were a little unsure of how it all worked but the staff was super nice and explained the process.... and then he waited and ordered while i grabbed a pair of tractor seats at the bar... note - not so comfy. and ordered a beer - yum!  all around we will be back for sure, for a special occasion - a bit pricey ( yes, we ordered everything! )  but totally worth the yummy goodness!  ( and we had leftovers to munch on and remember the goodness! ); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.336334325; Sentiment_Subjectivity (from 0 to 1): 0.488359788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ahh, my first pizza experience in New York... I've had their pizza twice when we ordered it for lunch in the office, so I can't say anything about the menu/ambiance/etc. I can say, however, that their pizzas are magically delicious. The sauce is fresh and flavorful, the crust is pliable and chewy, and overall it was a great introduction for a picky transplant from Chicago!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.447727273; Sentiment_Subjectivity (from 0 to 1): 0.506313131 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 all time favourite happy hour spot.   Love the rustic Italian setting with a lot of the servers seeming to be authentically Italian.  Sexy.  Also a pretty friendly crowd. Neapolitan pizza is delicious with a wonderful crispy crust.  Wish this place were closer to home or work to take advantage of the happy hour specials.   Definitely will keep it in my rotation.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.690909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 our first stop in covering the Kati roll company joints in NYC. It ended up being the best of the three. We primarily had the paneer achari roll. It wasn't too bad. The only thing missing was some kick. Maybe next time I'll ask for a spicy version of the roll. Note: On this last trip to NYC, I covered all 3 Kati roll company joints in search for the good one. I'll review those separately.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.161111111; Sentiment_Subjectivity (from 0 to 1): 0.390740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 husband and I are Chinatown weekend regulars and this place is our go-to noodle shop. Hands-down the best hand-pulled noodles in town, and I've even been to Xian, China, which is famous for the Great Wall and hand-pulled noodles, and this place delivers. My husband has tried most of the meats but would recommend the beef noodles.  I always go for the tofu/vegetable hand pulled- noodles with either the beef broth or the veggie broth if you want to go lighter (both taste great).  Sometimes when we're hungry we also get the steamed veggie dumplings, which are just okay but satisfies the hunger before the noodles arrive.  The rice cakes are decent too, a bit on the oily side but less so than rice cakes at other Chinatown shops (like Excellent Pork Chop Shop next door).   This place is all about the hand-pulled noodles: fresh and chewy with tasty broth, which is how it should be!  Definitely go and give it a try.  A hole-in-the-wall place that is a must-try.  Bring cash.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.411538462; Sentiment_Subjectivity (from 0 to 1): 0.531410256 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great bourbon/whisk[e]y selection. AMAZING and well-curated ever-rotating beer selection. You won't find the '150 beers on tap' scene like some craft beer bars: they get a keg or two of whatever they want and when it's gone, it's gone. But they were one of the first bars to get Bell's Brewing in NYC. Absolutely stunning crazy one-off rarities are found every time I visit (which makes you want to frequent the place.) Bartenders are absolutely in the know about what they are serving, every time, and share the knowledge with a smile. Service is absolutely excellent. Watching the young hipster woman next to me on my last visit ask for *several* tastes of beers while the crowd was 2-deep around the bar before choosing one (take your time, unique flower!) while trying to discuss each's flavors -- "Hmmm I'm loving this one's smoky notes and grassy finish" was a direct quote which would have made me rip her throat out with a rusty bar strainer.  But the bartender took a deep breath and smiled. I wouldn't have. But I have no patience. ;) Tip them well! Absolutely love the ambience of the place - when it's not too crowded which it hasn't been any of the 10 or so times I've been there. Really great on quiet midweek nights when the weather is warm and the whole front of the place opens to the street. But it can get very very very loud as it's all hard surfaces. When the crowd fills in it can be hard to have a normal conversation. All the food I've had is great. Limited menu but well-thought-out. Fried pickles are a stellar example of how they should be done: not too salty or tart, hop-brined (yes), and fried perfectly. The IPA fries... just get them.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.284577753; Sentiment_Subjectivity (from 0 to 1): 0.567485119 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sat down with the gf to eat lunch. Place was pretty busy, but there were two open tables. We sat down at one where we waited for a few minutes for someone to come by.  No one acknowledged us. We get someone's attention so we can ask them to send our waiter over when he had a chance. He comes back 2 min later and asks us if we would prefer to sit at the bar.  My gf didn't understand so I asked him to be honest, "you guys don't want to serve us here you want us to sit at the bar?" He said yes. So we left and went somewhere else.  Not sure why everyone else is allowed to sit and is served while we were to be relegated to the bar.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.017171717; Sentiment_Subjectivity (from 0 to 1): 0.387878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Scene: very dark and modern. (When I first came in at 6, it was bright. They turned off all the lights somewhere around 7:30.) Tables were small and close together. It was typical NYC noisy. The darkness and candles gave it some romantic feel. Nearly everyone was in their 20s. Food: Overall I enjoyed the food. Here's what I had:   Escargots: Good. Warm goat cheese: Very good. Salmon tartare: Meh, lacked flavor. Charcuterie: Ok, nothing blew me away and the proscuitto was very think and salty Raviole: Excellent. Heavy and gooey with cheese in a good way. Would be great on a cold day. Octopus salad: Good. Large enough for a whole meal as it came with a lot of octopus, which was nicely charred. A more accurate name would have been: grilled octopus with a side of salad. Creme Brulee: Very good. Portions were all reasonably-sized. Drinks: We had the happy hour wine flights ($12 for three nearly normal-sized glasses), which were an excellent value although I don't know enough about wine to comment on the quality. Price: We (two people) had a lot of food and a wine flight each putting the bill to $115 pre-tip. If we did it again, we would skip the salmon tartare and charcuterie making the meal around $80--$40 a person. Not bad for NYC. Service: very mixed. On one hand, everyone was very nice and they even gave us a free dessert for moving tables. On the other hand, it was very slow. Like 30 minutes in between interactions at times. In total, it took 2.5 hours for our meal, which was about an hour too long given what we ordered and the pace we were eating. Maybe they were short-staffed that night? Overall: A great choice if you are looking for a happy hour with wine and some appetizers. Good for a dinner date if you have the time and are in your 20s. Didn't have the right vibe for a guys' dinner and looked to small and dark to me for a large birthday dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.302867063; Sentiment_Subjectivity (from 0 to 1): 0.578670635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything from the ambience to the service and food was exceptional. We went with the masses and ordered the duck meatballs and you will not be disappointed!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.135416667; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was good but not amazing. Def solid food though. I got an assortment of random stuff. My fav item was the "cheese grits" aka white cheddar jalapeno grits. Taystee. I pretty much got two entrees because im greedy and indecisive. The french toast didn't live up to the hyped up version I created in my head from the description (vanilla bean always gets me). But they were okay. Good, not great. The other stuff I had was standard-- homefries, eggs, whatever. You get a free bellini/mimosa with your entree, if you're into that sort of thing. I'm def into that sort of thing. Just saying.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.104090909; Sentiment_Subjectivity (from 0 to 1): 0.455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wine. Good food. Good service. Nice atmosphere. What more does one need? My boyfriend and I come here every so often and always have a good experience. The staff is attentive and very knowledgeable about the menu. Especially nice in the summer months when the outdoor seating is utilized. The menu mainly consists of Panini's and cheeses. So don't expect to come here and get a pasta dinner. However everything they offer seems to hit the spot. Nice relaxing place overall with good food and wine.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.535897436; Sentiment_Subjectivity (from 0 to 1): 0.617948718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First thing I always remember when I pass by was that my uncle worked here. And it also has a particular smell about it. Probably from making the soup/broth base they use for everything. I heard the chicken curry noodles dish was really good here but I wasn't in the mood for it. However, I saw some in a takeout/delivery container while waiting for my food. And I felt slight uncertainty in my order of the Teocheow Satay with Flat Noodles(#47). But it was delish, spicy sweet sauce over some onions and slices of beef , my favorite flat noodles/hor fun, topped with cilantro, mmm. I barely finished it all. I liked having their base soup on the side. It's good (I'm a soup person). Not sure if they use MSG since I wasn't that thirsty afterwards. Wait, I was. But it's not as bad as other incidents I had when I was younger (and probably with less exposure to the substance). The "ngou shui ngaw"/Duck was good too. You had to dip it in the garlicky/vinegary/spicy dip it came with. That made it good. On its own, it was meh. And I loved the slices of pickled white radish that came with it, yummys! I love that stuff. This place is cheap and fast. Oh, one uncanny thing about this place is that they always give you scorchingly hot tea (in a deceiving styrofoam cup too!! Be careful, it's hot even though the cup isn't). And I can't drink it until the end of the meal when it cools a bit to normal hot drinking temperatures. Gosh.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.142392677; Sentiment_Subjectivity (from 0 to 1): 0.578198653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here with an 8:30pm reservation on a Monday, and the place was packed. Not only was almost every table filled, there were a bunch of individuals packed at the bar. Unfortunately, Bobby Flay was not in the kitchen that night. There were some hits and misses, but more hits than misses. The table next to us had to leave before their Roasted Cauliflower side they ordered could arrive, so they generously gave it to us. The cauliflower was roasted in this sweet and sour sauce, called Agro Dolce, reminiscent of Chinese sweet and sour sauce except more subtle. It was more on the sweet side than sour.  This was probably my favorite in terms of appetizers/sides, and not because it was free. It was a tantalizing start to the meal. Like most people, we ordered the selection from the Bar menu where you choose ($17 for 3). I wasn't as impressed with the selection as I thought I would be. In fact, it was a little bit boring. The waitress informed us the Bar selection is intended for one person. They are small bites, but it's definitely shareable by two, especially if you want to try the other sides and appetizers. Bar Menu: Ricotta, Wild Mushrooms, Hazelnut Toast - creamy bite, with hazelnuts, reminded me of Ferrer Rocher except salty Eleven Layer Potato, Caramelized Shallots, Fried Sage - There was nothing special about this one. Literally just layers of bland potato, with the best layer being the first crispy one. The shallots were a nice touch, giving it some sweetness to an otherwise boring dish. Eggplant, Manchego, Oregano, Balsamic - I love eggplant, so I was looking forward to this one, but like the potato it was boring. I thought this would be one of those melt in your mouth dishes, but the eggplant was a little bit too hard for my taste. Did not get much balsamic or oregano flavor. I did like the manchego cheese, which was subtle and savory. Sides: Scrambled Eggs, Almond Romesco, Boucheron Cheese, Tomato Confit Toast  - There's a Youtube video of Gordan Ramsay making the perfect scrambled eggs. I'd imagine this is what his eggs would taste like. It tastes more like a really rich and buttery cheese spread than scrambled eggs. The eggs spread on the toast was delicious, but less enjoyable by itself. Just a little bit too mushy. My friend who wanted to order this really enjoyed it though. Entrees: Kale and Wild Mushroom Paella, Crispy Artichoke, Egg - Easily best dish. I can see why everyone is ordering this one. It's a small dish for a paella, but filled with lots of mushrooms, kale, and artichoke. All the ingredients were a perfect combo with the crunchy bits of rice. I've had really salty paella before, which was really unpleasant, but this was perfect. Only sad thing is the waiter scraped up the paella before I could take a picture. Steamed Halibut, Olives, Mint, Anchovy, Saffron-Tomato Broth, Cous Cous - Really tender fish and amazing flavor within fish itself. I did not care for the saffron-tomato broth. Maybe I just don't like saffron, but the flavor was really strange. Overall, this was a good dining experience. The waitress was very busy at times and hard to flag down at first, but we had another waiter who kept our water refilled, changed our dirty silverware, re-lit our candle, etc. We barely knew he was there. In general, wonderful service. I thought we would get some complimentary biscotti, but I guess you only get this if you order a dessert.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.146329916; Sentiment_Subjectivity (from 0 to 1): 0.584379409 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: By far one of my favorite places ever. Right around the corner from my apartment. I go at least once every two weeks, even if I go by myself ! :) Their daily soup specials are to die for. My boyfriend always orders the steak special and I always get some sort of fish or seafood. The scallops are cooked to perfection all the time. Brunch is legit! The mimosas are huge and the biscuit & gravy dish is delicious. The potato bowl is great too. Friendly staff!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.375081169; Sentiment_Subjectivity (from 0 to 1): 0.696103896 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was very cute and had the nice brunch ambience, but there are much better places I would rather use my money elsewhere. I ordered the cantaloupe juice, which I was not a fan of, especially since it was $6! Very pricey for a simple juice. The food was very good though. I had the green shakahuka and it was great. Very different meal that I had never tried before. But overall, this place deserved a solid 3 stars; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288333333; Sentiment_Subjectivity (from 0 to 1): 0.572261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this really deserves 3 1/2 stars... I've been to Maysville for both drinks and brunch. I would definitely recommend coming here for drinks, especially if you are a whiskey/bourbon fan. However, I was underwhelmed by the brunch. Drinks: I am not a huge whiskey/bourbon fan, but I loved their cocktails (most of which include bourbon). Their whiskey list is very extensive--they probably have every whiskey you could possibly think of. They offer 1-oz tastings or 2-oz pours of each, which is great. All whiskeys are very reasonably-priced. Brunch: I was not a huge fan of their brunch. They have very few options to choose from. I ordered the quiche, which was way too salty and lukewarm. My boyfriend ordered the crispy grits, which he said were great. Our friend ordered the chef's breakfast, which included 2 fried eggs and duck sausage. He said they were great. Service was a bit slow. We had to keep asking for coffee refills and waiting very long for our check. The bartenders are great, though the bar could get a bit crowded after work.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.233823529; Sentiment_Subjectivity (from 0 to 1): 0.614705882 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 boyfriend and I came here after reading many great Yelp reviews about the restaurant. The food was okay, ambiance was okay, service okay as well. I wasn't extremely hungry so I got an antipasto just to have something to eat and a glass of wine. My boyfriend, after reading the yelp reviews got the lobster canneloni with vodka sauce. It was extremely good as I got to eat a bit of it, but we were disappointed by the portions. The bread had a little bit too much garlic and the antipasto was just mediocre (was not expecting much with that appetizer anyway). The atmosphere was very homey here though, which I enjoyed. I felt like I was in a real Italian family's kitchen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2025; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has the best pizza I've had. The panini's are delicious especially the Carne one. Service is great friendly staff and everything is reasonable priced. This has become my weekly spot (sometimes more lol). Definitely need to go eat here if you haven't, oh and their desserts are amazing. (Had tiramisu and canole); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5275; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 but typical starch-heavy (but not at all greasy) American fare served with heavy-handed bass and drum pounding; as if customers didn't get enough of it from clubbing the night before.  I enjoy the noise of human chatter but the music is unbelievably irritating.  Friendly and helpful staff though.  However overall is not good enough for me to come back again for any reason. 3 (food) + 1 (staff) - 2 (music) = 2.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.016025641; Sentiment_Subjectivity (from 0 to 1): 0.384615385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has a nice outside atmosphere. The only thing it was missing was the service you would come to expect from what you would think at an elegant place. There was absolutely no service at all. We had to ask for all of our drinks and to even have our table cleaned off. At the very end the hostess comes out and says "I'm sorry folks, there's a party that comes here regularly that usually wants this table" we said ok! We're out. Worst service we ever had. The end; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.027083333; Sentiment_Subjectivity (from 0 to 1): 0.581410256 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Drinks only, I met a group down here to discover this charming little place that's both craft enough to at least appease beer fans... I mean hey they have nitro taps... And common enough for the general public. Great interior with the exposed brick and vaulted beam ceilings and some bigger bench style tables, I sort of felt like I was in Lord of the Rings drinking with the Hobbits at the Prancing Pony. It was totally great, except there weren't actually any Hobbits. If you want a chill place with some great character to imbibe with some friends without worrying about your bar becoming too rowdy, this could totally be your spot. Next time I'm downtown I'd gladly stop here for at least one drink.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.121164021; 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: im in search of the perfect chicken-based ramen in the city. i have tried 90% of the other places and this is the best (together with sister restaurant kanbi on 351 E 14th street). ambiance is old and dull but the soup with chicken was thick, the chicken with a delicious smoked flavor, ramen was firm and tasty and the ingredients where well cooked and tasted very well. a must go; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.107575758; Sentiment_Subjectivity (from 0 to 1): 0.586363636 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent pizza and worth the wait to get in, although 10-15 minutes on a Saturday in August isn't bad. Friendly service and the best NYC pizza I've had. Highly recommend checking it out!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.517777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fried Chicken on a flaky buttery biscuit, hot puffy beignets, local microbew on draft, Done Deal. The place is one of those places with just great food for a simple price. Cheekys delivers great quality in a modest, hole-in-the-wall location. Sandwich: Chicken was buttermilk battered, accompanied with a purple cabbage slaw and a nice spread of gravy.   The chicken is not the moistest, but it didn't brother me with the balance of gravy and yummy slaw.  The sandwich is on the small side, but each bite carries so much character and quality that eating two would be excessive in my opinion. Beignets: First of all, I am no sweet tooth.  But the hot puffy dough and hint of powder sugar won me over completely.  For just $1.00, they can easily cost you $10 at a restaurants.  I saw a little girl came in with her mom for a quick snack of beignets.  Happiness for all ages. Beer:  Just awesome they have beer on draft, especially a local microwbrew. The place is tiny and I've heard it is usually pretty crowded? The day we went it was pretty empty which was nice.  It allow us to chat up with the friendly server behind the counter.  He spilled that the owner will be opening a joint in Greenpoint within the next few months that is going to specialize in Patty Melt.  Can't wait!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.121223958; Sentiment_Subjectivity (from 0 to 1): 0.613244048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, majority of us came here for the fried chicken.  And although Martha serves a tasty one with spicy honey, I am here to rave not about that but about the delicious brussels sprouts.  Please, PLEASE, do yourself a huge favor and order this!  They are served on a small skillet swimming in fish sauce, honey, with peanuts and pickled jalapeño.  It was amazing! Another thing to note is how warm service is.  Very chill, ready to help, available, but not overbearing.   A star off for excruciatingly loud music and inconsistencies with pancake.  I saw three of these during brunch including the one we ordered and I must say, they came out in different shades w one super dark, luckily ours was in the middle.  The batter consistency is definitely not pancake like, it was dense.  Tastes good but dense. Dense batter or not, we'll be back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.212982456; Sentiment_Subjectivity (from 0 to 1): 0.555263158 [/INST] Not Spam</s>