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: Sticky's Finger Joint is far from an ordinary fried chicken restaurant. They create their own unique recipes for different types of chicken fingers, impressing their customers with combinations that have never been thought of before. I ordered the Wasabi Finger to begin my Sticky's journey. All three chicken fingers were Panko crusted, covered with wasabi mayo and ginger, and then topped with tobiko. I'd only had wasabi mayo and tobiko with sushi, but having it on top of crispy chicken fingers opened up a whole new realm of flavors, becoming fully aware of how delicious this combination was. Even though the chicken fingers were dipped in sauce, they still maintained their crispiness of the Panko crust and the tenderness of the white meat. I also ordered a side of purple sweet potato fries that came drizzled in honey. I've always been a fan of sweet potato fries, but a plate of these blew me away. Who would've thought that fries with honey would taste so good? I loved the crispiness in the fries as well as the overall sweetness that balanced out my tangy Wasabi Fingers. Even though Sticky's Finger Joint is small, the fried chicken fingers that they have to offer are phenomenal. With fingers ranging from Buffalo chicken to salted caramel fingers, I definitely will be revisiting to taste every single chicken finger they have on the menu. There's no other meal that can make a girl happy than a plate of well-cooked fried chicken.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.033407123; Sentiment_Subjectivity (from 0 to 1): 0.690722157 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As a recommendation from a dear friend, we sat at the bar with Chef Yasuda himself.  It was an amazing experience.  As everyone else has said, sitting at the bar completes this experience.  The chef explained the fish as he put it in front of us.  He has an amazing knowledge of the fish and it was fun to sit and listen to him talk and watch him work. He even made uni taste good.  I tried so many different fish that I normally wouldn't even know existed.  It was so much fun.  It is very expensive, but worth it.  Next time we visit, we'll have to sit at a table to see what that's like.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254545455; Sentiment_Subjectivity (from 0 to 1): 0.505454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Short and sweet....good service, good bar. I don't know if I would come down to this neighborhood just to visit Dark Horse, but if in the area....it's a solid choice. Bartenders pour a solid pint of Guinness, and they have a decent selection of beers both on tap, and in bottles.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.08015873; Sentiment_Subjectivity (from 0 to 1): 0.350793651 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in a group of 8 last week and we all really loved our dishes. we had a meat plate, a cheese plate and bruschetta..all were nothing too fabulous but still alright. My entree was really good, I got the  Strozzapreti Integral and it was caked on with cheese and was great and gooey! It was pretty plain but still good. My boyfriend got the Pappardelle al Ragu Di Vitello (veal in noodles) and he really liked it too, and he is VERY picky...verrrryyyyy picky.   The service was great and everybody was nice, the only down side is how loud it was. There were times that I couldnt hear a word anybody was saying due to how loud it was.  It was pouring rain outside the day we ate there and they sat us on a heated patio where we could hear the rain crash down on the tarp (not too loud) and it sounded wonderful and warm!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.334072872; Sentiment_Subjectivity (from 0 to 1): 0.63757215 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.  i want to come here EVERY WEEK.   we walked in and i felt like i was back in singapore.  it's dirty, the waitstaff is gruff and nonsmiling, it's hot and probably crawling with cockroaches.   but the food is authentic.  what they call "egg noodles" is actually authentic won ton noodle (chewy, springy in your mouth, a bit grainy) and their wonton, while mostly wrapper and not too much meat, is satisfying in its own right.  the soup was salty and satisfying and probably contained things that i don't want to know about.  and it's $3.75 a bowl.  oh yes.  you could get 2 and still beat NYC dinner prices.   eat at bo ky!  it's good stuff!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35297619; Sentiment_Subjectivity (from 0 to 1): 0.66547619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Cleaver co is the catering arm of this restaurant.  The food is delicious and the service is impeccable.  Use them for any size event.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.875; 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: I came back and had the Boeuf Stroganoff! OH.MY.GOD!!!! On a side note: I saw the White House Chief of Staff Rahm Emanuel eating with a friend with no secret service in sight! Maybe that's what secret service personnel do, or else it wouldn't be called "secret" anymore! I guess!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.18625; Sentiment_Subjectivity (from 0 to 1): 0.42 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Like stepping back in time, but with flair.  I love the chips and onion dip.  Sounds like something my mother would have made in 1964; however, this is even better (and my mother was and is a great cook!).   The shrimp and grits are just about perfect.  I don't know how they could be any better.  They're creamy, flavorful, seasoned, and delicious. Service is superb.   Cocktails (including the Aviation, a drink I dearly love that is not widely available) are generously sized and extremely well mixed. Not so great for large groups.  Can be loud (as others have mentioned).  Great place for drinks with 3 or 4 friends or, if you go early, for a date.   If you like Southern style food, you owe it to yourself to check out The Redhead.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.417857143; Sentiment_Subjectivity (from 0 to 1): 0.572556391 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: NOW this is just F! up?!!!  The same portion you use to get for  Roast pork and rice now  are smaller.   The take out container is like 1/2" or so  Shorter in height .   You are getting Less Rice. and When i ask him for Ginger/Scallion  Sauce, he looked at me like "what?"  WTF.. Give the customer what they want  , I been going to your sorry Azz Restaurant for over 20yrs. Even thought you got sited &   busted for washing your Veggie in the same sink you dishes/ chopsticks in.   Of course your bathroom still as nasty as ever.  I thought I was in the Public mens room in Central park. (ok Let's not go there Biatches); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.463333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Song is a very affordable and very yummy Thai option in the hood.  Its not the best Thai I've ever had, but it'll do!  I've had much of the menu, and you basically can't go wrong as long as you stick to the more "typical" thai entrees. My mainstay this past winter was the Thai house salad (as I was addicted to the peanut dressing), followed by the Massaman curry with chicken, as again, I have this thing about peanuts.   The downside to eating there, rather than getting take out, is that it can be very noisy and dark inside.  When the weather is nice out, though, it is enjoyable to sit out in their garden, eat, and drink a Thai beer.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.085555556; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've heard many things about this legendary halal cart, and had intentions of going the last time I visited NYC.  However, sadly that did not happen.  I did not want to make the same mistake twice, so I came here with some great friends on my last night in NYC.   Food (9.0/10) = Chicken, Lamb, and Rice for $6.00...OOOOOOOHHHHHHH YEAAAAAAAAAAA! ("Macho Man" Randy Savage). I was fortunate that the line was not long when I came here.  But after tasting the deliciousness of this "street meat," I would line up for this stuff even if the line started at the end of the block.  Man... I don't even know how to describe the food.  The chicken and lamb were seasoned well and surprisingly not dry.  They add plenty of cheese too.  Meat and cheese baby...oh yea!  I added the white sauce and the red sauce.  I don't remember what they were, but it made the food so much better.  Note: I wasn't drunk. Ambiance (?/10) = it's a food cart.  I witnessed a turf battle between two homeless men though, haha.  The dominant beggar spent most of his time near the food, asking for the change people received after they paid.  Lurking in the back of the line that night was another man collecting change.  It was entertaining to see the dominant beggar go after the lurker, and how some of the regulars in line encouraged him to protect his income, haha. Service (7.5/10) = Service was fast.  These guys really know how to keep the line moving. Overall Opinion = I don't know why you just read my review.  This is the 1758th review, and they've average 4.5 Yelp stars.  What more do you need to know to convince you to visit this epic joint on 53rd and 6th?    Go get your chicken and rice, and maybe a free show - "The 53rd and 6th Halal Cart beggar vs. the Lurker."; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.100520833; Sentiment_Subjectivity (from 0 to 1): 0.469010417 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 give Bubby's 3 stars for their mouthwatering biscuits and for giving customers the ability to order a side of pancakes with their brunch. Everything else was average. I don't usually complain about service since I'm all about the food, but I have to say their service is sloooow. I've been their 4 times already and it was consistently the worst.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.2875; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My last night in NYC hangin w/ my sister was here.  It was a cold rainy night, but according to her, there's usually a wait during the daytime.  So we went at around 10:45 and were able to get two seats near the bar.  I ended up getting one of their spicy ramen dishes w/ extra pork and egg.  Being an LA native, there's never a shortage of good ramen places for me to compare this to.  And I'd say this one measures up pretty well.  Definitely pricier compared to LA's better places.  However, they don't cut corners on quality and taste.  Also tried some of their great pear sorbet for dessert, which was a nice touch to top off the meal.  I'll definitely come back to this place next time i'm in nyc; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19375; Sentiment_Subjectivity (from 0 to 1): 0.486979167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One trend that is likely to emerge with the more reviews I write on Yelp is that I am just not the biggest fan of Italian restaurants.  It's not that I don't like Italian food -- in fact, it's quite tasty.  But rarely do I find it special or creative and, in a city like New York where you could eat at a different restaurant every night and never have to eat at the same place twice, I have trouble justifying spending a lot of money on food that I don't think is special or I believe I could cook myself. And so, I tend not to be the biggest fan of Italian restaurants. But this place is an exception.  It helps that it has sentimental value: this was the place my boyfriend took me on our third date.  I still remember what shirt he was wearing.  He brought me a Tupperware of tortilla soup that he'd made ("extra spicy") the night before so that I could have it for lunch the next day (even if he forgot to give it to me and then told me the next day that he was eating it himself.  Still, it's the thought that counts.)  We went back at ate there again for our anniversary last year and we'll probably go again for our anniversary this year, too. Noodle Pudding is a cute little neighborhood-y Italian restaurant steps away from the Brooklyn Bridge.  Like another reviewer said earlier, I don't quite get the cult following, but that could easily be because of my aforementioned disclaimer about Italian food.  But what I do like about it is its warmth, its reliable tastiness and the fact that everyone there seems happy to be there and seems to love the place.  That just makes for a very nice dinner vibe. I also like the bartender who let me try a bunch of red wines until I found the one I liked best while I waited for my boyfriend at the bar.  That kind of treatment is something I'll always return for.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19218522; Sentiment_Subjectivity (from 0 to 1): 0.417782931 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crowd and environment. Just don't order the in-house drinks that take 15mins to make and none taste great (we tried four kinds).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; 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: The food speaks for itself: its cheap and good Winner of the 2010 vendy awards,  this food cart is probably one of the best halal carts this side of the east river and not named "halal guys."   Giving you options than most halal carts, you'll find some of the best falafel and shawarma here. On top of that, the owner, who you'll often see out there working the lines will greet you with a smile and joke as you'll most likely be in a line waiting to be next. Don't be afraid as the line moves quickly and from time to time the owner will even give free falafel samples to everyone in line! Awesome food and awesome service, what else can you ask for! Definitely a try and drive out there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.445833333; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Authentic Polish food. Potato pancake with beefstew in the middle was my favorite! Go hungry becasue the food is very rich and heavy!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.244375; Sentiment_Subjectivity (from 0 to 1): 0.645 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Haven't met anyone that didnt love this place when they tried it..m Amazing Food (esp tacos, and salads), good service, and great  margaritas. .. the only downside is its a small space... that is quickly overlooked because of the many things this business has to offer... Enjoy your visit.. dont leave without a taco & Margarita...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.398148148; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After living in the city for 4 years and never trying Ippudo (never had the patience to wait 2+ hours), I decided to give it a shot. We gave our names at the front, they told us it would be about 2 hours and took down our phone number so they could text us when it was our turn. They're also linked to this app you can download so you can see how close you are to being seated. However, it doesn't really give you a countdown, time-wise. It was just 4 light bulbs that would light one at a time until it was your turn. Food-wise: I've had better. We started with the pork buns and they were great. Worth the 2 hour wait? No. Go to Jum Mum around the corner and get the buns there (it's a little hole in the wall place on St Marks but those buns were amazing). Then we got the Akamaru Modern ramen since that's what was most suggested but I personally thought it was kind of bland. I didn't finish it and even though my date finished his, it was nothing to write home about. Venue-wise: Loved the decor; definitely a tourist trap type place. It's busy and loud. The server we had was great and really helpful. Also, all the servers would walk around yelling things in Japanese, which I thought was cute and helped add to the atmosphere. Overall, it was a fun experience, and I'm glad I got to finally go, but I wouldn't go again. It just wasn't worth it for me. On to the next one.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267509921; Sentiment_Subjectivity (from 0 to 1): 0.504365079 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 gross. I ordered BBQ chicken wings as an appetizer. It came with a grated carrot garnish that was spoiled. The wings had no salt and were slathered in this gross sweet and sour sauce. I didnt finish and instead filled up on white rice. My stomach still hurts the next day.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Please order the following: Fried Green Tomatoes Shrimp Appetizer Shrimp and Grits Sweet Tea The restaurant had some really good rice bowls on the original menu, which I believe are now on the sister menu at Peaches.  I have yet to try the fried chicken but will on my next visit.  The 'Likker' menu is tasty and creative.   Enjoy; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.169444444; Sentiment_Subjectivity (from 0 to 1): 0.538888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the ambiance, the lighting, and the "organic" decor, but not sure if the food live up to its Jean George's standard. At least I was super excited to try this place after reading many great reviews from yelp and recommendations from friends, I was disappointed. It wasn't horrible, but just not quite what I had expected.  Love the decor at ABC kitchen, but I liked food at Negoutine much better.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.122979798; Sentiment_Subjectivity (from 0 to 1): 0.607037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Occasion: surprise B-day dinner!    Setting: small french bistro Unbeknowst to me, the place was BYOB and SO had brought in a special wine bottle we had purchased from France. for apps we had the goat cheese and the octopus (both delicious) Entrees: I dared tried the Kassulet Toulousain de la Maison (Cannellini Beans, Garlic Duck Confit, Slab Bacon & Pork sausage all mixed in one meal). Found the duck to be delicious. The Carribean in me didn't appreciate  the fact that this dish lacked any rice or some sort of starch. Free ice cream for dessert since the waitress knew it was my B-day. The wine + work night before turned me into a sleepy somber mess. I still enjoyed the experience and food. Casual atmosphere. Great service. Lovely memories.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.302678571; Sentiment_Subjectivity (from 0 to 1): 0.605257937 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new favorite place in Hells Kitchen. Food was great and prices were super reasonable.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.393939394; Sentiment_Subjectivity (from 0 to 1): 0.694242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: At Joe's it's all about the food.  We had the soup dumplings, a first, different.  I didn't love them but my husband did.  He ordered Kung pow chicken which was incredible, my son ordered sesame chicken, unbelievably good & my daughter & I shared fried noodles with veggies.  The noodles were pretty greasy but I've never had that dish so perhaps that's normal.  Often the quality of chicken in these restaurants is not the best, at Joes it was tender and not chewy.  We had to wait awhile for a table, it's an attraction, but well worth the wait.  Highly recommend!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.188461538; Sentiment_Subjectivity (from 0 to 1): 0.651794872 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, what a great place! We came here last week after seeing the "Lend me a Tenor" show on Broadway. I've been wanting to checkout this place forever, but I finally made myself go here, and the experience was far from being disappointing. The Room Service is a nice and comfortable place. They have this huge chandelier in the middle of the restaurant cased in a glass box which I think is a nice decorative touch... They played a great lounge music in the background. They have a nice list of mimosas, and we ordered the Lychee mimosas which were super tasty. For appetizer we got the Chicken Satay with peanut sauce and the shrimp dumplings, and for main dish I got the Panang curry with shrimp and my date had the chicken Tai flat noodles. Everything we ordered was well prepared and delicious. Service was great too and we never felt pushed or rushed. This place has great cocktails at great prices. We left after finishing the dinner and six more cocktails and I could not believe the bill.... it would have been easily three times that for the quality and amount of food and drinks we got. I'll be coming here later this week with a group of friends, I want to try some of the other dishes on the menu. I would highly recommend this place if you are in the area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.27297619; Sentiment_Subjectivity (from 0 to 1): 0.660357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food it's delicius, puls alot of wine . Bob.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Never had soup dumplings before this place, and im in love. Theres always a line everytime ive gone for good reason. Food is amazing, cheap, and i like the communal round table seating. Dont order the bean curd, looked and tasted like. The spicy cabbage is great and the 2 soup dumpling orders are enough for two people.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.635714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! I came here with a group of 6 people, we each ordered different apps and main courses and each had a drink! we all had a bite of each other's dishes, it was all delicious! I personally had the Hachi Parmentier and the avocado bread. My girlfriend had the salmon pot pie and the gorgonzola, there was so much cheese that even sharing, there was still some left. I give 5 stars for presentation, location, taste, amount of food, and price!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.285416667; Sentiment_Subjectivity (from 0 to 1): 0.444791667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Do not get the Shwarma here. The lamb pieces were burnt and fatty and it was not a good sandwich at all. The falafel, on the other hand, was actually really good, but I think there are other, better places to go for both. For all you wondering, there's a reason you can't beat the price. It dips on quality.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.066666667; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nam Nam is a small, unassuming spot and its small menu with delicious cheap eats will fill your stomach with joy. The woman behind the counter was friendly and our food came within minutes. $5 for a large pork filled bahn mi, you say? Yes please!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.26547619; Sentiment_Subjectivity (from 0 to 1): 0.580952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love the feel of this place. I'm not a New York native or even frequent visitor, but walking into here felt like stepping across the ocean to Europe. The place was decorated for the holidays, and panettone's were stacked everywhere wrapped in shiny red cellophane. Inside it was packed with people in for a quick standing-room-only coffee or bite at the bar, or sitting down at the tiny tables for a nice lunch. We managed to find a table, and had coffee to start. The cappuccino was ideal, and tasted excellent with perfect velvety foam. I had a great panini with smoked ham, tomato, goat cheese, gruyere, and camembert. The combination of the three cheeses was decadent, it was one of the best hot sandwiches I've had in a long time. I can't ding them for the tight seating. I'd much rather have a small seat than none at all, and it was entirely manageable. I loved the service as well, the man helping us was very clearly a native Italian and had a great sense of humor. All in all a place I almost want to return to New York to go to again. The whole experience was one of the best lunches in recent memory. Certainly deserving of all 5 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.340978149; Sentiment_Subjectivity (from 0 to 1): 0.525250979 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ordered dumplings, which when named dumplings at 9, you think you might get 9 dumplings, but the 4 i got proved this was not the case. They were well presented but overcooked and just fell apart to the touch. The pad thai was extremely salty and lacked the zing and peanut flavor. The noodles were ok, but when they are soaked in a salty brine that tastes nothing like pad thai, its not much of a redeeming factor. The interior is a little gaudy and over the top for my tastes, but the waiting staff was friendly and attentive. All and all, there are MUCH better options in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2140625; Sentiment_Subjectivity (from 0 to 1): 0.6125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What I loved and respected most about Bouley was the ability to stand outside and look through the window directly into the kitchen.  There, standing out with his shock of white hair, was Bouley himself.  He's STILL cooking in his own kitchen, which shouldn't be a surprise, but when you consider how many celebrity chefs have hung up their toques to bask in the attention, I felt a deep sense of respect for Bouley and his establishment. Our expectations were extremely high for Bouley, having dined at his restaurant almost 10 years ago when it was in its other, other location.  Is the new location an improvement?  It has some very nice touches (floor to ceiling rows of apples in the entryway), and some eccentricities (giant velvet picture frames...uhh tacky) that make it, if nothing else, a unique experience.  The quality of the food is as it was years ago - excellent.  There were some truly exceptional items on the menu, and a couple that, while good, weren't all that.  Only one item, which I'll discuss later, was a disappointment.   Service: French, mostly.  We arrived late, and as punishment, were waiting nearly an hour for our table.  Whoops.  They were somewhat unapologetic, but once seated, we loved our servers.  They were extremely attentive, professional, humorous, and offered fantastic recommendations.  I was undecided about whether to dock them a star for the delay faux pas, but by the end of the meal, I was won over by their staff, and let it slide. The menus offered were a la carte, a tasting menu, and a chef's tasting menu. We opted for the tasting menu - six courses, and clocking in at 2 hours, non-stop.  The chef's menu, 8 courses, according to our server, would take 3 hours.   Exceptional fare: - Seared foie gras.  Whoa.  Bouley makes his own, and our waiter described the process of hanging the torchon, twisting it, allowing the brine/sherry to break down the cells and allowing the fat to settle.  He also described it as a 5,000 calorie bomb, so naturally, I licked the plate clean. Afterward, I felt fat.  And sassy. - The porcini flan with Dungeness crab and black truffle dashi.  This was fan-friggin-tastic.  The truffle scent combined with the dashi gave this the perfect (and I do mean perfect) waft of intense aromas and flavors.  The crab is a perfect compliment, mixing seamlessly and beautifully with the flan.  I mopped every last dripping morsel with bread. Then, I licked the copper tin that it came in.  Bad form?  Probably, but it really couldn't be helped. - The farm fresh egg with Serrano ham, cheese (pecorino, I think?), white truffle, and creamy polenta deserves every. last. drop. of praise that it receives from reviews.  I mopped the plate clean with my...damn, no bread.  Ok, more tongue, and evil glances from the snooty lady sitting at the table next to us. - Maine lobster isn't an innovative addition to menus (a bit overdone, if you ask me), but damn if Bouley doesn't cook it better than the vast majority of lesser restaurants.  It was served in a sublime pinot noir reduction, and I mopped the plate clean. (Yes, mostly tongue.) - Duck (yum - more licking); rack of lamb (murmur, mumble, lick, lick); and dessert?  Sweet Jesus - an apple torte with licorice and vanilla ice cream. (groan, must...keep...licking). Not so great: - Scottish salmon was a bit dry and overcooked, and the consistency was off, primarily because of something that was coated on the outside to give it a crunchy texture, which added to the dry factor.  This dish was not a hit. - Monk fish chop suey.  The taste was decent - again, monk fish cooked beautifully - but the sauce had a consistency that reminded/hinted/echoed what you'd get from cheap Chinese take-out. It wasn't as much of a miss as the salmon, but it wasn't a home run either. A quick word about the funky interior: As a waiter explained to us, every detail of the interior design was done by Bouley himself.  The stone/tile in the floor was taken from a quarry in France; the chairs were sized and selected from multiple iterations; the lamp shades hand selected...you get the idea.  One nice effect from the interior is that high ceilings, fabrics and soft lighting create quite an ambiance (and if you're 6 ft or taller, the velvet picture frames make for a cushy head rest).  There's a back room, with dimmer lighting, and a private table for at least a dozen people located in the basement, on the way to the restrooms.  The downstairs was much more tasteful, and reminiscent of a French chateau.   We came; we supped; and there was much rejoicing.  I feel for the Yelpers who didn't have a positive experience. Without overindulging (with three diners, we could choose virtually every item from the tasting menu) I can definitely see how you could strike out, but what Bouley does well, he does exceptionally well, and for still being the chef in his kitchen, he wins major props.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.248145342; Sentiment_Subjectivity (from 0 to 1): 0.55479321 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What's good? * Probably the best option close to Terminal 5 which makes it a great place to grab a pre or post show drink * Abita (and other good stuff) on tap * Session in bottles * A tater tot menu (and chill cheese tater tots, which may have been some of the best tots ever) What kind of sucks? * Zog Sport bar (read: really, REALLY drunk post-softball/kickball/dodgeball/insert-recreation­al-silly-sport-here people playing drinking games and spilling beer all over you and your friends) * Loosey goosey service...our tater tots took 50 minutes to come out (they, I believe, forgot to put our order in) and the bartenders are not incredibly friendly (or apologetic for lengthy waits for food) All in all, I'd give it another shot...but if Zog'ers are there, I'll take a pass, thanks.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.353409091; Sentiment_Subjectivity (from 0 to 1): 0.529545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here for brunch with a friend visiting from out of town - there was a long wait for 1pm!  I ordered the Blood Orange Brunch cocktail ($13) and it was waaay too alcoholic! Especially to start my day off after a night of drinking haha ... my friend ordered the Brooklyn Russian ($13) and that was more of what I should have ordered - an alcoholic coffee drink.  Anyways, I ordered the Friend Egg Sandwich ($13) and that was so good!  The potato hash was spicy - it had some spicy oil all over but it was delicious.  The sandwich itself was a bit oily, maybe from the fried egg topped over an Italian sausage patty, but it was great hangover food.  My friend ordered the Huevos Rancheros, and it looked really good, but all it really was was beans with three baked eggs on top for $17 - a little too expensive for what it was.  A good brunch spot to try, but I'm sure there are a bunch of others in the area that won't have you waiting forever.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.259027778; Sentiment_Subjectivity (from 0 to 1): 0.529938272 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fresh authentic Italian pastas! I'd recommend the spicy Cavatelli. Supremely tasty. Classy atmosphere and professional waitresses.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 day has come where nearly all of my culinary necessities are within reach in L.I.C. No more crowded subway trains into Manhattan for ramen raids.  Not only is there now a suitable option for ramen in Long Island City, we have one of the best. Had no idea the soft opening was this past week but decided to call and surprise surprise on the night before Thanksgiving we squeezed in a visit just before closing.  Some minor aspects are in flux such as no liquor license but overall they operated efficiently. We waited about half an hour for three seats at the main dining table. The waitress was very attentive and they apologized that their only beverage available was water.  CASH only (this may be temporary as they had POS workstations) The first thing to capture my attention was the great attention to detail in the interior. Big fan of the noodle ceiling and the display of succulents at the center of the table.  The front door could use an outer wind shield as it did get drafty but nothing we couldn't handle. The menu was to the point. Two snacks, four treats and three types of ramen. We went with the okonomiyaki and the U&I.  We ordered all three types of ramen - Mu Ramen, Tonoktsu, and Spicy Miso.  We all got nitamago (seasoned egg) as opposed to onsen tamago (souse vide egg - learned later that they crack these into your bowl table side) PROS Location - love LIC, love the location and the interior design.  LIC means less crowds.. for now Spicy miso ramen - clear winner of the three.  Loved the thick chewy noodles, the soup base was rich and peppery, not too spicy, the ground pork was tender and flavorful.   U&I - delicious uni (salmon roe) & ikura (sea urchin) chirashi.  small portion for sharing but an absolute treat.  $15 so not cheap.   Okonomiyaki - I had to eat this slowly nibble by nibble to capture the different textures and flavors.  The smoked trout was tender, juicy and flavorful without being fishy.  The scallion pancake was a nice take on a traditional Chinese dish.   Service - friendly, humble with a family-owned feel to it.   CONS Was not cheap, $15 for Tonotsu and Spicy Miso ramen.  $18 for Mu ramen.  Portions were average.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.107681159; Sentiment_Subjectivity (from 0 to 1): 0.500181159 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome place, great heavy metal music...disregard any reviewers who don't like this place because the music is too loud or too heavy....that's like saying, I went to a Sushi restaurant but the fish was raw...duh... Love the black velvet paintings...especially the Frank Frazetta copies! The Burger here rocks!  It's actually a double patty...really juicy and spicy! The Pickle is great as well...get the Modello with the spicy lime...they used to have an outdoor area in the front, but lost the licence for some reason now...that sucks...hope it comes back... PS forgot to add, the area is so kool...it's tucked away in this industrial no man's street like a washed ashore ship....and through the door right next to it is a venue for hard rocking...anyplace that cranks old school Black Sabbath, Judas priest, Motorhead along with an awesome burger while I gaze at black velvet Frazetta paintings gets my endorsement ....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.218768601; Sentiment_Subjectivity (from 0 to 1): 0.49858631 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 we could go to Frankies every weekend we would. Everything is delicious and the atmosphere is very comforting. Read more details here: jazzandjill.wordpress.co…; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.566666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/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: as far as late night spots to have final brew and some munchies go, this place was ok.  maybe its that i wasn't as plastered as i should have been at 2 in the morning, or that i've yet to experience anything quite like jackson hole in murray hill, but i had higher hopes for this place. the burger was ok, but def. a bit dry (what is with NY and dry ass burgers?)  the fries were pretty money and my mug of ale wasnt as frosty as id like, but i wasn't too worried about it.  all in all, decent, but where's the late night mexican food at, yall?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.086111111; Sentiment_Subjectivity (from 0 to 1): 0.630555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 skeptical of the cheesy name, but am really glad my friend took me here. Having sampled all the best XLB places in SF (and hacing tried Ding Tai Fung), I can assure you this blows everything out the water. Well that is if you like BIG FAT XLBS with not just pools of soupiness but giant lakes. These are true gushers. We got to the place around 11 am on a Saturday and were able to sit down right away (possibly because of our small party size?) at a communal table. The waiter immediately set down a teapot, and we immediately ordered one "long" of regular pork XLBs and one of crab and a pork & preserved veggie rice cake dish. Althougher with 2 Tsingtaos, our bill was around $30. I was definitely more of a fan of the pork. The crab was defintely decadent and the broth tasted like roe...which I can appreciate but am not the biggest fan of. The filling was very sizable and though the wrappers/flavors were not as delicate as high-end XLBs (aka DTF's), they are very satisfying and good for hungry tummies. Same with the pork. Having tried some terrible XLBs, I can really appreciate how 1) the wrappers don't fall apart when you lift them 2) the filling is not falling apart because they have been frozen 3) the wrapper is not hard, evidence of freezing 4) the filling is big enough so the wrapper-filling ratio is all skewed 5) there is actually enough soup to call them "soup dumpings" 6) the flavors are pretty authentic to Chinese food in China. See how bad XLBs can be?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.070014081; Sentiment_Subjectivity (from 0 to 1): 0.543508015 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 going here for yearsss and I tell EVERYONE I know about this place. It's perfect. Amazing (an understatement) food with great variety, great atmosphere, sweet staff (especially given how busy it always is), and always worth the wait. I think the prices are very reasonable (and I rarely think that of most NYC restaurants like this). I really loved their curry dishes (that soupppp), and all their beef and chicken is great. The coconut ice cream is incredible... I can talk about this place forever haha. Come, and bring friends! Remember: it's cash only! :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.42; Sentiment_Subjectivity (from 0 to 1): 0.740555556 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My first visit since the relocation. The last time I went as a veggie head and was in awe of the idea of an entire house dedicated to tofu. Of course there's many carnivorous selections and I took full advantage this time. The place was totally packed at 6:30 on a random Tuesday. They seemed pissed we were holding a table and not ordering before our whole party arrived and I think we got subpar service after that. Don't give me a whole fried fish and no water to wash it down. That's just wrong. The menu is very streamlined but most of the stuff we usually order anyway. Pancake was hot with tasty filling, japchae was a huge portion, bimbibap was flavored almost entirely with sesame- a little one note. The tofu kimchi soup was wonderful and the tofu kimchi pork dish was the biggest hit of the night. I'd skip the tofu mushroom soup as it didn't have an earthy mushroom flavor I was craving. I didn't try the soupy beef dish.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.11878655; Sentiment_Subjectivity (from 0 to 1): 0.538888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great great. thin skin, good amount of meat, juicy, fast and CHEAP. 5 for $1. frozen ones are 50 for $8.  the friend dumplings are very good and tasty.  small tiny place with maybe 5-6 bar seats. best i've had in NY so far.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.421666667; Sentiment_Subjectivity (from 0 to 1): 0.665 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was a nice place to catch up with a friend but I don't think the food was anything special (dinner-wise) Pros: -clean bathroom (but kind of dark lighting) -ample seating! -quiet environment where you can have a conversation without yelling across the table -quick and friendly service -easy to make reservations -no complaints about splitting checks Cons: -the pizza that I got had no cheese on it (portobello red pepper pizza) and I LOVE cheese....so the food was very disappointing -prices are kind of off...a glass of wine cost just as much as my pizza! -the table we sat at was uneven so it kept tipping back n forth... -the dishes has some stains on it (my wine glass had food bits on it..) Nice place but probably won't come back coz of the below average food; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194630326; Sentiment_Subjectivity (from 0 to 1): 0.52358396 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped here a few times during the course of a housesitting gig. Joe behind the bar was very nice and welcoming. I thought the beer selection was good, and the service at the bar (I never sat anywhere else) was always on point. I tried one entree dish and it was fine - nothing extraordinary. And I tried the pretzel baked with truffel cheddar and then accompanied by beer cheese. Which, I mean, it was delicious based on the description alone. Here is a bready product with a cheesy dip. Try to hate it. They have wifi, which was a nice added bonus.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.147045455; Sentiment_Subjectivity (from 0 to 1): 0.771590909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My favorite restaurant in New York's theatre district. Great food, large dishes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.412662338; Sentiment_Subjectivity (from 0 to 1): 0.658279221 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very meh. We have lived on the UES for years and have been eager for a good thai place to be a go-to (there's a dearth up here!). We were really disappointed. Tom Kha (with veggies) was watery and flavorless. The Tom Yum soup was also bland, with no kick like it should have. The veggies in both soups seem like an afterthought -- a stick of carrot, a piece of lettuce, one grape tomato sliced in two. It was very strange. Sautéed veggies with tofu and ginger sauce was okay, but a very tiny portion for the money. Same with the pad see ew, which was fine I guess but really small portion. Definitely nothing special, I'm sorry to say.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.047472527; Sentiment_Subjectivity (from 0 to 1): 0.532673993 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nothing bad to say about this place - it's adorable, intimate, great, fresh food, wonderful wine, lovely all around.  I remember at one point saying to my husband, "why would we go anywhere else?".  It's one of the best restaurants in Brooklyn.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.695833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is pricy, but well worth it. You may have to wait, but we were lucky enough to get in immediately. They did stick us in the back though (I think we didn't look hipstery/food snobby enough), near the ABC Kitchen store that is attached to the restaurant, which is pretty weird, but who cares about that. The food is amazing. Here's what we feasted on: - Bread and olive oil This is some pretty tasty complimentary bread they give you to get you through the few minutes of perusing the menu until the order is in and the food comes. - Chicken liver toast: This is a really rich, delicious way to start the meal. The chicken liver is smooth and  very satisfying and the bread is really nice and crispy. An excellent combination. - Kasha and bowtie pasta with veal meatballs: This is one of the best pasta dishes I've ever had. The veal meatballs are juicy, soft and extremely flavorful. Luckily we had some bread left, which was perfect for soaking up the amazing sauce from the pasta and the meatballs. - House roasted turkey sandwich with fries: This was a really awesome sandwich. The bread was nice and hot and crispy and the turkey and avocado were delicious. The fries were fancy McDonald's style and were delicious with the fancy ketchup they provided. - Sundae (salted caramel ice cream, candied peanuts and popcorn, whipped cream, hot fudge): This was the perfect ending to an amazing meal. This is one of the few times I've seen a dessert done right with popcorn. I have tried several such desserts, and the popcorn usually ends up soggy or stale tasting, which was definitely not the case here. This dish gives you one of the most perfect bites possible: crunchy popcorn, some nice salty peanuts, smooth and creamy delicious ice cream, and the hot fudge to round it all out. I would come back here again just to get this dessert. I highly recommend coming here - you will not regret it, as long as you save room for that dessert.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.299290207; Sentiment_Subjectivity (from 0 to 1): 0.670610961 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 partner and I were there for lunch in late May.  The specials were amazing -- and what a bargain!  The service was wonderful, too.  We thought it was definitely a find.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I planned to go to Rubirosa because I read so many positive Yelp reviews, plus a stellar Refinery29 review that even recommended an outfit to wear there. The more I thought about it, the more I had to stop myself salivating. But on the other hand, the more I thought about it, the more I was afraid that it would all be hype and not good at all. That's a horrible risk to take on a place that has SO MANY good reviews. So my friend and I were delightfully thrilled to discover that it totally lives up to the hype AND MORE. It's totally cozy inside, and I have to say, their music selection is AMAZING. During the course of our meal, they played The Smiths, Heart, and a few Stones deep cuts, to name a few. Good music at a pizza place is so rare and so appreciated- I don't know about you, but it totally kills my pizza-boner to eat to, like, "Because You Loved Me" or something. So they score major, major points for atmosphere. As for the pizza, I think instead of writing a review, I'm going to fall on the floor frothing with desire. No, I'll write. We were unable to decide, so we got two small pizzas to share, one sausage with broccoli rabe and one cheeseless arugula with tomatoes, caramelized onions, and a balsamic vinaigrette. (We decided the latter would be our "salad." My friend and I are both able to eat several men under the table.) GODDAMN it was good pizza. The crust is so, so, so cracker-thin, and totally crispy on the edges but still just soft enough in the middle. The sausage and broccoli rabe were a great combination, and that's kind of a big deal because normally I won't even eat broccoli rabe on its own (I find it too overpowering, but broccoli rabe and sausage together? Excellent.). The arugula pizza- really delicately done, and way more fun than a regular salad, I'll tell you that much. Their wine list is very comprehensive as well- we had a really good semi-sweet red wine whose name begins with an M, for "mmmmm." We were literally freaking out at how good it was, and it was more than satisfying- we had to pass on dessert, even though I bet their desserts are amazing. (Lots of classic stuff like affogato and tartufo.) The staff is also super-friendly and accommodating. (Don't take advantage of that, though- there was this one douchebag at a table near us who kept monopolizing the waitress to talk to her about pizza in different regions of Italy or some shit, and not only did she look super-annoyed, but we were all DUDE SHE'S NOT A GEISHA CAN WE GET OUR CHECK ALREADY.) And even with two dollar signs, our two pizzas and wine all ended up being extremely reasonably priced. I definitely want to come back and try some of their non-pizza items, even though part of me is like, "Why would you DO that?!" Lesson learned: sometimes you really can believe the hype.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.204522145; Sentiment_Subjectivity (from 0 to 1): 0.519831451 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 heart Tom's.  If only this place were open at a time when I'm awake on the weekend...  I have a soft spot for quality diners and this place is always on my mind when I wake up early enough to possibly eat there.  At times there's a line out front to get in, but people get free cookies while you wait.  In fact, most of the times I've been there, the owner gives you something free (once he gave me hot cocoa, I felt like I was 5, but in a good way).  I've mainly had the omelettes (eggs benedict also a winner) with grits (I like grits, not sure why) and I'm never disappointed. Great food, warm vibe, not pretentious.  Need more places like these.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.266203704; Sentiment_Subjectivity (from 0 to 1): 0.651234568 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I like this place. It's a nice brunch place that's BIG. When I'm here, it kind of feels like I'm in a strip mall in the rest of America, not NYC. But looking at the bar and the menu, I remind myself that I'm actually in NYC. Got Eggs Benedict that was delicious. Got a baguette with nutella for desert. Any place that serves bread with nutella scores points in my book.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.44; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thiru, who makes these amazing dosas and other Indian delights, is a Sri Lankan man with a porn 'stache. (I'm sorry! I had to get that in somehow!) Okay, I'm kind of late to the party here; I've known about the dosa cart for a few years, and never made it there until last week. Twice. And I wasn't able to eat the dosa until it was already cold. And it was gooood--light and delicate. (And #vegan!) Being a thin, light crepe, it doesn't travel well, but as I always say: it all goes to the same place. I ate it standing up in the kitchen, with my hands; actually I really love the uttapham, which I got today. And tomorrow I'll probably go back, and go early. It's cash only, but I pay cash for everything, so I didn't even notice he doesn't accept credit cards. Why should he? This is the best deal in town! Follow the dosa cart on Twitter: twitter.com/nydosas Although he's always at the same spot (Washington Square South and Sullivan,) he occasionally goes on a well-earned vacation--so call ahead, or follow him on Twitter.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.067559524; Sentiment_Subjectivity (from 0 to 1): 0.528174603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheryl's is my usual go-to spot when I'm in the BK because I can always count on them to soothe my palette. My server was great, as were the others. But something that Saturday was different. Maybe it was a bad day, or the cooks were in a funk because there was something off about the food that day. My rum punch is usually the bomb and my starting point. But that day it was weak. The curried mussels were weak and not as flavorful as they usually are. My broiled pork chop was superb! Even the mango salsa was good, merging well with the flavor of the pork. I wasn't feeling the roasted potatoes. They were rubbery and dry. All in all the atmosphere was warm and inviting as always, which made up for the imperfections of my food. I'll go back though, their overall track record with me is good, so I'll forgive a one time offense, which I hope will never happen again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.095833333; Sentiment_Subjectivity (from 0 to 1): 0.469791667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 overall restaurant in NYC. Everything is a solid 9. Food, atmosphere, layout, staff. And it all comes together so beautifully. Other places have individually better components (eg I think the food is marginally better at their other restaurant D'ell Anima) but adding it all up, when anyone asks me for a recommendation when they visit, this is always on the top of my list. Must haves: Beet and fetta salad Spaghettie Bolognese Pumpkin Ravioli when it's in season Olive Oil Cake; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.178571429; Sentiment_Subjectivity (from 0 to 1): 0.335714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pork katsu and the curry are amazing. Crispy deep fried goodness and richly delicious curry. It's unfortunate that I get full on just a walk (small). I've been trying to find something similar, especially in Toronto, but nothing comes close. It's a quick and easy straightforward type of meal. They make tonkatsu with curry and they make it darn well! I love it!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.268055556; Sentiment_Subjectivity (from 0 to 1): 0.663194444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 neighborhood kinda place.  Everybody I take here likes it.  Menu is varied and there's something for everyone.  It's a swanky vibe & slightly upscale without being over the top.  Doesn't break the bank by NYC standards.   I would say it's mostly American comfort food, along with some more innovative dishes.  I have been here several times now and the food is always good.  Sometimes the service is lackluster & other times it has been delightful! Their brunch deal is outstanding -- free cocktail (hell yes!), so that's why there's always a line on Sat & Sundays. I try to avoid this place during peak hours and find it much more pleasant if you shoot for later in the day to avoid the crowds & waits.  Everything I have tasted is good.  Their burger, the shoestring fries, eggs benedict, the BLT-E, tuna tartare, and more... the food is always solid.  Cocktails are also nice - try the Spiced Blood Orange Margarita!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.410087719; Sentiment_Subjectivity (from 0 to 1): 0.530701754 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Beef Wellington was incredible...tender meat with a delicious mushroom gravy and the potatoes were roasted and just perfect. My boyfriend and I couldn't get over how tasty this dish was. We had a seared tuna salad appetizer that was just sublime...so fresh and full of flavors. It was a Saturday night and packed...cramped seating and very noisy. But the food was just so darn good we can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.507142857; Sentiment_Subjectivity (from 0 to 1): 0.564285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the best thing about this place is you can have a fantastic meal for $40 or $200. The sushi here is for purists, fresh tasting sushi that isn't dressed up with monster rolls or spicy sauces. Don't get me wrong, I'll still order salmon avo rolls at my neighborhood sushi take out but when I'm craving some quality fish this is the place to go. Sit at the sushi bar to watch the magic - Yasuda is eager to share info about his ingredients and and loves to joke around. They do an amazing job of sourcing the best ingredients. On a trip to Japan I swore I would never order uni in the US but the Santa Barbara uni here was amazing. I can't wait to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I made reservations a week in advance for a romantic dinner for my husbands 30th birthday. The whole night was planned carefully... Dinner was schedule for 8pm and his surprise party was planned around the corner for 10:30pm. When we got to Yerba Buena at 7:45ish the gate was down so we knocked on the window. The owner came out and told us that a "pipe broke" and the restaurant was closed for the night. When I told him we had reservations he basically said he called anyone with reservations for the night and is sorry but has to go back inside. (Which he CLEARLY didn't call us and I know he has the right number because that's how they lock in your reservation) So okay, forget about dinner, there were 500 other places around and we found a great replacement so that's the best part of this story... We found out the next day that Yerba Buena was not closed because of a pipe explosion but instead because of a summons that was issued that same afternoon due to a bunch of really scary sanitation violations. Check it out: evgrieve.com/2011/02/doh…. So I would highly recommend not trying this place out unless you enjoy "live mice in your food" and "expired shellfish" and an owner who lies and could care less about your reservations.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.084538895; Sentiment_Subjectivity (from 0 to 1): 0.424527417 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very authentic chile salsas but the burrito needs a touch more flavor, is good and inexpensive for sure and it goes amazing with the home fries you find next door! Some sour cream might just do it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.566269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 service. Nice and wholesome food. Airy space. Reasonable prices.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.533333333; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For our monthly NY Mexican Food Lovers Meetup brunch/lunch, I chose Taqueria Lower East Side.  The reviews were great - the prices appeared reasonable - and, most importantly, they had a full bar. Two of us arrived at TLES (Taqueria Lower East Side) around noon on a Saturday and, despite the fact that the restaurant was empty, were told that we'd "have to wait for your entire party to arrive before being seated."  Um, ok. Well, it's a good thing that TLES was equipped with a bar.  A full bar, at that.  I ponied up to the counter, plopped on a bar stool, and ordered a house margarita.  With lots of salt.  Hell, as long as I was waiting for our entire party to arrive, I may as well sample a beverage (...or 2)! For someone who considers herself to be a "margarita aficionado," TLES's version was one of the best I've had in NYC, to date.  Freshly-squeezed lime juice, house tequila, and triple sec were combined - shaken vigorously - and poured over ice cubes in a salt-rimmed glass.  A fun, paper umbrella floated atop the cocktail, making me yearn to be on a tropical beach somewhere. Luckily, it didn't take the rest of the crew too much longer to arrive.  By 12:20pm, "our entire party" was seated. Water glasses were topped and brunch menus were distributed as we introduced ourselves to one another and began discussing all-things-Mexican-food.  And TLES' quirky decor, which is a literal shrine to El Lay (Los Angeles). Moments after placing our entree and beverage orders, we received a basket of homemade tortilla chips and smooth, thin/runny red salsa that tasted more akin to enchilada sauce.   I've had better... For the sheer fact that TLES's tacos cost about $2.50/each, I knew that I would have to sample their pork carnitas version in addition to my chilaquiles! Pork Carnitas Taco:   Slow roasted, juicy pulled pork was sprinkled with crunchy, chopped white onions and fragrant cilantro.  The savory ingredients were enveloped by two handmade corn tortillas - each about 3" in diameter.  A lime quarter and a radish slice accompanied. The pork was so juicy that the taco did not even require the addition of salsa (...thank goodness, because I would have hated to destroy it with TLES' gnarly red concoction, anyways)!  Plus, I loved how the tortillas were warmed and lightly browned on the griddle prior to ingredient topping. Chilaquiles: Chilaquiles, rice, and beansSalsa verde-soaked tortilla chips were drizzled with crema and sprinkled with crumbly cotija cheese.  Refried beans and Spanish rice accompanied. Though lukewarm, I found the chilaquiles to be quite authentic and every bit delicious.  My only complaints, however, were that they weren't warm enough upon service, and that the chips, themselves, needed a gooey "binding" cheese.  Chihuahua, perhaps?  The beans were spot-on, but I found the rice to be slightly dry. *Note* upon your exit, make sure to grab a handful of the free Mexican candies, especially my favorite:  De La Rosa. ~ Conclusion:  TLES proved to be an ideal venue for our NY Mexican Food Lovers Meetup brunch.  The prices were dirt cheap (by NYC standards), the drinks were outstanding, and the food was solid.  While I had a couple of qualms - the uber lame 'we won't seat you before your entire party is here (...even though the restaurant is empty)' rule, subpar salsa, dried-out rice, and lukewarm chilaquiles - the majority of my experience was fantastic and, most definitely, worthy of a return visit.  I cannot stop dreaming about those outstanding margaritas and hope to be back - for those, alone - in the very near future.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.228474576; Sentiment_Subjectivity (from 0 to 1): 0.532495292 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 didn't find the restaurant week menu to be that fly. Normally I would be upset for forgoing a three course meal for twenty dollars for one dish for 25 and a dessert that is nearly 12, but I am glad I did. The fried chicken was great, one of the best restaurant fried chickens I ever tasted. It was succulent, juicy, with the right amount of flavor, crispness, and spices. The collard greens were even good, and I hate collard greens. And, the chocolate chip bread pudding as wel as the marrow appetizer are what everybody says they are. What's keeping this from being a 5 is that it was a very loud atomosphere (maybe bc it was Friday night, maybe it was bc it was restaurant week), I felt as if I was shouting at my date, and I felt the tables were too large. Not only was I shouting, I had to lean over my food to chat.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.252307692; Sentiment_Subjectivity (from 0 to 1): 0.724175824 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had the dumplings everyone goes crazy over. They were tasty but otherwise this was just a busy Chinese food place - no dim sum, which was what I was searching for.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.1375; Sentiment_Subjectivity (from 0 to 1): 0.425 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is ok. Love the tomato soup, BUT! Worst service ever! Rude! arrogant! Unprofessional! And extremely claustrophobic! Oh and get your cash if you go there. 2014 and they don't accept credit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.2796875; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Taste Good, it really tastes good! A girl friend of mine(from Malaysia) told me she had discovered a Malaysian restaurant that serves authentic Malaysia/Singapore food. I was so excited and silly me arrived one hour early. For starters, we had rojak (assorted fruit salad with cuttlefish), the sauce was rich and abundant, nice. I was dying to try their mee rebus because you can hardly find this dish at other Malaysian restaurants; unfortunately, they had ran out, so we ended up sharing the Indian rojak noodle (recommended by the waitress) and sambal prawns with rice. We loved the sambal prawns, we bet they must have made their own sambal chilli,  it was so tasty. The Indian rojak mee was disappointing because it tastes very different from what I usually get in Singapore and Malaysia. However, this place is very generous with the gravy and sauce. Overall, it's thumbs up for my first taste at this place. I vowed to try every single dish, so I went back again. This time I brought my hub there and we ordered curry laksa, Singapore Hokkien mee, char kway tiao, assam laksa and mee rebus(since they didn't have it the last time). Yes, we were that hungry and we tucked all the yummy food into our tummies...LOL! Of all the dishes above, I LOVE LOVE LOVE the Singapore Hokkien mee, it makes me feel as if I am eating in a Singapore hawker center. It's so authentic and so yummilicious. OMG... I am starting to drool again while typing this. :P~ The char kway tiao was done in the way I like but it would hit perfect 10 if it had 'hum' aka cockle. The rest of the dishes were good too, however I was disappointed with the mee rebus this time. It didn't meet our expectation in terms of taste and ingredients used. Last but not least, I would like to compliment their 5-star service. The waitresses there are so genuine, cheerful and friendly. They proactively changed plates for us before the next dish was served (we do not expect this type of service in an asian restaurant). In addition, usually I will have to beg for more napkins but the waitress really 'surprised' me when she gave us new napkins without asking. They are more pro-active than those 6-star restaurants that make you tip your fingers and toes. I have tried almost all the Malaysian restaurants in NY and NJ. This is one of the top 3 on my list. Trust me, I will go back again and try all the dishes in the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.207107518; Sentiment_Subjectivity (from 0 to 1): 0.50830948 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 style of a Chinese restaurant, but I was surprised that they had a fantastic craft beer list they have. Very surprising and literally the quality draft and bottle list of a bar. The triple fried pork was spicy, but mild enough to be very edible and actually cooled the palate down from the spicier dish we had. The hot pot dish was quite spicy and I wish we almost had two servings of rice. A decent amount of meat, though watch out and avoid eating those chilis. The dishes are decently priced, though obviously not like Chinatown. Share two mains for two people.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.182393162; Sentiment_Subjectivity (from 0 to 1): 0.524786325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a Tuesday night, about a 30 minute wait at 7:00 pm. The food and service were great! The menu was extensive and a welcomed change from the expensive prices of other restaurants in the area. My take on the menu was smaller portions (very cheap prices) which allow you to try many items on the menu and go back for seconds (or thirds) as the staff is very attentive. Great spot close to the heart of the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2715; Sentiment_Subjectivity (from 0 to 1): 0.581833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food is so good and cheap! The variety is endless. Nice beer and beverage selection also. I'm not usually one for buffets, but theirs is top notch. The seating is always limited, but it's worth fighting the crowd. Make sure to bring some cash, though, because they have a $10 minimum for cards.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.352857143; Sentiment_Subjectivity (from 0 to 1): 0.553174603 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 you love curry or interested in trying Japanese curry this is a place to go. I recently had a chance to try this place and it was worth it, definitely one of the best places to get curry.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.292857143; Sentiment_Subjectivity (from 0 to 1): 0.321428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Raged some maple bacon sticks at Smorgasburg and a lamb burger.  Incredible.  The meat was succulent.  Definitely gonna track this place down again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.248148148; Sentiment_Subjectivity (from 0 to 1): 0.562962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best brunch ever!!! What a delightful experience, I had the french toast, with fresh fruit and potatoes.....it was amazing. I was with a group of 5 and every single one of us had an amazing dish. I especially loved the fresh OJ and the spiced Rum with warm milk and Honey. WOW what a great find!!! I cant wait to go back!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.494505495; Sentiment_Subjectivity (from 0 to 1): 0.58956044 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE this place! I've been meaning to try something other than the tacos, but they are so good I can't! The guacamole is the best I've found in NYC. Make sure to try the fish or pork tacos. AMAZING! Get the pork sandwich. I've never had a better meal for $7. It's the only thing I get anymore.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.515625; Sentiment_Subjectivity (from 0 to 1): 0.645486111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 rarely give 5 star reviews but this place deserves each and every one. I ordered at least one dish from each category (What? I was hungry) and everything was fantastic. Dayboat scallops, beef carpaccio, beef tartare, spring salad, roasted mushrooms, duck (or was it sausage?) bolognese, atlantic char, and roasted quail. I didn't get the chance to order dessert but there will definitely be a next time. The bartenders were so attentive and amazing on a busy Saturday night -- suggesting the perfect wines to the crazy descriptions of what I was looking for -- and treated us all very well despite the fact we had some extremely obnoxious and rude people in our party. Top notch food, top notch service.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.191071429; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dear Peppe Rosso Social, As a couple who doesn't just love to eat, but dine, we had a memorable meal at your restaurant.  Your enthusiasm and confidence in your dishes is shown through the quality of your food and it was very much loved and appreciated. Unfortunately, we had some of the worst service to date by a single individual, who also, unfortunately was our server.  It is worth mentioning that the secondary service (bus boys) and other server were superb, attentive and keen to make us happy.  One bus boy in particular was awesome and paid attention to our every need.  I only tipped 15% because I knew he would be affected if we left anything less.  I hope he gets promoted to a serving position.  He was outstanding.  He took care of literally every table in the back.  Our server (about 22, young, very tall) was young, inexperienced, and aloof--he couldn't be bothered with any table that wouldn't flirt or flatter him.  We would literally make eye contact with him and he would smile and walk away!  It was unbelievable! With that said, we were at your restaurant to dine in the Italian way.  We ordered the three courses, followed by desert, espresso and then to end we would have ordered a limoncello but were never offered the chance (to mind you this was 11:00 so the restaurant was not busy nor closing down). This is the first email I've ever written to a restaurant, I'm quite young still so don't have many quibbles when it comes to service.  But honestly, our server was unfortuante.   The food deserves a big Bravo!  Especially the burrata which was second to none, bellissima! Thank you.  We look forward to bringing our family to your restaurant.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.129329467; Sentiment_Subjectivity (from 0 to 1): 0.506491656 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It is the best burger, till I find the place on How I Met Your Mother :) it felt weird my first time that it was in a real old school type bar but i got used to it and I would go just for the bar cause the crowd is cool.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.291666667; Sentiment_Subjectivity (from 0 to 1): 0.597222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 alone is reason why I drool when I think of NY. Chicken n Rice combo platter for $6. BEST MEAL on EARTH! Yes, the wait can be annoying but just think about what's at the end of that rainbow..better than a pot of gold. Plus the line moves pretty fast. Best way to spend $6 and the perfect late night snack! I'm drooling now as I write this review. I wish I lived in NY :(; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.102777778; Sentiment_Subjectivity (from 0 to 1): 0.738888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place! The food was really amazing when they first opened, and while its still good, they may be getting a bit lazy in the kitchen. The place reminds me of quaint restaurants in the East Village.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.385; Sentiment_Subjectivity (from 0 to 1): 0.686666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: after $30 dollars for a pie and 2 drinks,  I wish I would have gone to my regular pizzeria. The service was great, the place was immaculately clean, but the pizza was not worth it at all.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254166667; Sentiment_Subjectivity (from 0 to 1): 0.406730769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food and awesome atmosphere, definitely coming back; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: V-Nam Cafe is about to become my new go-to for banh mi and pho cravings.  I ordered delivery the other night and was not disappointed. The spring rolls arrived hot and crispy in a tray with lettuce, mint, shredded carrot and other side items which were all fresh.  I ordered a steak banh mi.  It arrived on delicious crusty bread.  The meat was lean and tasty and the vegetables and sauce were nice.  I also got a side order of beef soup, just to see how the broth tasted.  It was rocking, flavorful and nicely bodied.  Based on the broth alone, I can tell the pho will be killer. Good value overall for the quality of the food, I'd definitely order from them again and will be in for some pho.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309280303; Sentiment_Subjectivity (from 0 to 1): 0.617045455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: had the shrimp pad thai. it was pretty tasteless and had dried shrimp in it. gross.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.1375; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: $2 sliders, pretty delicious. fries are good, 4 kinds of ketchup. original, bbq, chipotle, and... maybe it was only 3, i forget. my friends ordered the candied bacon shake. it was actually... pretty good! i would however, definitely share it among a large group of people. i cant imagine take more than a few sips. but for what it is, its surprisingly tasty. awkward layout to the restaurant/bar though. there's seating in the front, then a long narrow walkway next to the bar to reach the back, where there are a few more tables. the narrow walkway doesn't really accommodate for two way traffic, and since its usually semi crowded, there are always people just waiting to walk through.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.168012422; Sentiment_Subjectivity (from 0 to 1): 0.492546584 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 time visit to the Market Table today for Sunday brunch. I had the french toast and all I can say is...."amazing".  You will not be disappointed.  Up until today Jane's french toast was at the top of my list.  If you are a french toast lover be sure to visit the Market Table. Ambiance was nice and wait staff were very attentive.  My wife had the Bacon, Spinach and Fontina Scramble that was excellent. I tried a bite and will definitely order it on my next trip.  This is a must stop for those looking for a great brunch in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.287142857; Sentiment_Subjectivity (from 0 to 1): 0.544444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tiny, hidden neighborhood treasure. The staff is always very friendly and everything on the menu is delicious. You definitely must try the korean pork belly sandwich! The burgers are always a safe bet too. Sometimes, there may be a wait though since the place is kind of small and there isn't a huge seating area.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.285648148; Sentiment_Subjectivity (from 0 to 1): 0.631481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 interior, great service, solid drinks, cool area. what more could you ask?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.43; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so cute and tiny! (That's what she said!)     \              \              \ ,¡||||||¡,    ,¡||||||¡,    ,¡||||||¡,  (      )      (      )      (      ) '\|||||||/'    '\||||||||/'    '\|||||||/' The meatball sliders at The Meatball Shop are adorable. Not only that, but they're delicious too. I tried two of the sliders - the Beef with mushroom sauce and their Special for the day (steak, bacon, and cheddar) with traditional sauce. The sliders are punctured with toothpicks to hold them together - so cute! The flavors of the meatballs? Oh so homey and familiar. That's part of the beauty of The Meatball Shop. The flavors aren't overwhelming, but they still manage to hold their own. It's the kind of food that you could eat every day without feeling sick. All of the meatballs are also super tender and moist. Success! I also sampled the side of rigatoni pasta. It was a little on the al dente side for my preferences. I'd pass on it in lieu of some greens next time. To round out the meal, my dining partner and I split an ice cream sandwich - you select what kind of cookie and ice cream you want to mix. We went with one of the more popular options of a brownie cookie and mint ice cream. Yum! The mint ice cream alone was a little reminiscent of toothpaste, but paired with the soft brownie cookie, it was the perfect ending to a fun dinner. I should mention that you're supposed to mark off the menu with the pens on the table. Mine simply refused to work. I swear it had nothing to do with the alcohol I had just downed before getting there. I swear!!!! When it does work though, it sure helps you remember what you were planning on ordering. I like that because I have the worst short term memory ever. The taste is simple, but still worth eating out for. The fare is also relatively simple, yet slightly elevated than what you might make at home. The overall price is reasonable. If it weren't for the wait, I will definitely be back for more balls. Until something else opens up to catch peoples' eyes, I'll have to stick out the inevitable wait - or send a dining partner ahead to secure a spot on the waiting list. *evil giggle*; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.181939605; Sentiment_Subjectivity (from 0 to 1): 0.60298103 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only thing that my wife and I were disappointed with was that they didn't have any morro negro or even black beans for that! Everything else was delish!! No complaints whatsoever. We will be back :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.115104167; Sentiment_Subjectivity (from 0 to 1): 0.636666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As someone who is no stranger to an unlimited brunch, I was delighted when a friend suggested this spot and it was a place I had not been to! The space itself is great, the crowd was young and fun and the staff accommodating and swift. Not only are the portions satisfying but the there are lots of options from pizzas to benedicts to try! There's literally something for everyone at this eatery :) I recommend it and am eager to try their dinner menu!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.721428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unbelievable food. The brussel sprouts are a must. Beer and wine list is unbelievable too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.25; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nothing fantastic. But at least you could sit outside.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.033333333; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Interesting take on healthy fast casual. You really cannot go wrong here!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.045833333; Sentiment_Subjectivity (from 0 to 1): 0.594444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite restaurants.  It's a vegetarian's dream!  I absolutely love being able to compose my own four veggie plates.  Standouts- sweet potato fries.... Tastes like candy, bok choy, zucchini with fresh mozzarella, kale, and a great veggie burger.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.732142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Five stars for their martinis.  Five stars for every staff member who works here; you guys have been awesome every time I've been here.  Five stars for the small plates.  Most recently I enjoyed the artichoke tarin... Served with baguette slices smothered in amazing olive oil.  Five stars for everything, you be killin it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.47; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was so ridiculously amazing I ate really slow to savor the taste. Service was also exceptional! Will definitely be back; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!! This place is incredible. I went here this week with my husband and 2 friends and I can't tell enough people about how AMAZING the food was. I LOVE Greek, but this is the real deal!! The ambiance was beautiful, casual yet funky. We ordered the stuffed pepper-it was filled with spicy feta and OUT OF CONTROL good. We also had the 3 dips, Taziki dip was unreal!!! The Greek Salad was like nothing I have ever had before. Everything was so fresh and good!!! I had the Poached Salmon for my entree, again amazing! I can not wait to come back here!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.391796875; Sentiment_Subjectivity (from 0 to 1): 0.597916667 [/INST] Not Spam</s>