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: I love this place so much. I'm so happy they're back in Astoria. I love it not just because of their amazing food, but the owners are genuinely sweet and attentive. I remember once when I was ordering take-out, the owner noticed I wasn't feeling so well. So he made me a yummy hot spiced wine. Really great people here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.694444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 small local establishment definitely made me a fan overnight! I work in the area and was looking for a new flavor, and I have found it! My first order were the Breakroom Fries, which were messy and filling; exactly what I needed after a long day at work. My second order was the Taco Platter (Tempura Fish Taco and Pork Belly Taco). The flavor was unique and reminded me a lot of Los Angeles - which is a plus! I would be curious to see how the tacos would taste with corn tortillas verses flour tortillas, but that's just me because I'm Mexican. Other than that, I will be frequenting this local spot. Great service, young staff yet fun and professional, and great tasting food!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.142852871; Sentiment_Subjectivity (from 0 to 1): 0.384888357 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything here is awesome.  Service is great.  Decor is just right for this type of place.  Food is quality and that's why it gets such high ratings.  I've never gotten a bad panini and the crostini is delicious as well.  No need for further explanation.  Definitely go!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282857143; Sentiment_Subjectivity (from 0 to 1): 0.665820106 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 con that I can come up with for this place is the size.  It's really, really small, but everything else about it has been pretty good.   The sangria is cheap and tasty, and the empanadas are fantastic.  Don't be afraid to go a little out of your comfort zone when it comes to the empanada choices, you might be surprised.  My first time here with my husband, I was pretty much sticking to the norm of what i know an empanada to be (spanish style meat, chicken, and pork).  My husband convinced me to try a bite of the Hawaiian, and it ended up being my favorite!  I've never had anything off of their entree menu, but I'm sure it must be pretty good.....Isn't that the same stuff they fill the empanada's with anyway? I've never had a dessert empanada, usually because I'm too buzzed from the pitcher of Sangria I've drank, but there is the option, and they must be good as well.  What's not to like about fried dough filled with some chocolate concoction? Eat, drink, and be merry all under $50 in NYC?  This is the place.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.149404762; Sentiment_Subjectivity (from 0 to 1): 0.673677249 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 great! I'd recommend the lobster ravioli, jerk chicken, catfish bites, and crab cakes It's kind of small in there, some spots you're really up on other people but this place has good music, atmosphere & food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.220833333; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is pretty special. Of course, get the steamed pork buns. Past that, some of this food feels a bit forced, as in it sounded better than it tasted. Make sure to pop across the street to Milk Bar for dessert, where cereal milk frozen yogurt and crack pie win....; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.265306122; Sentiment_Subjectivity (from 0 to 1): 0.544331066 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with my boyfriend - we were really excited to go to a vegetarian sushi place, as it can be kind of boring to always eat peanut avocado and AAC rolls all of the time. The rolls here are really pretty and well thought out - also super reasonably priced. However, since their food is quite healthy, they seem to try to make up for that by slathering everything in sauce, which I find kind of off-putting. I hate mayo, ketchup, mustard, any sauce pretty much, so I might be alone in this, but I really liked the actual rolls and veggies, and I think their flavors are wonderful alone. I think the sauces kind of covered up the vegetable taste, which to me, defeated the whole purpose of the unique rolls. We order the Crunch n' Munch and Mighty Mushroom - both highly recommended. The textures were just as amazing and interesting as the flavor combinations. My boyfriend loved our food despite the sauce issues, so we averaged at 4 stars. I'd come back, but would ask for NO SAUCE. DON'T RUIN MY VEGGIES! Thank you for listening.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.28884058; Sentiment_Subjectivity (from 0 to 1): 0.706811594 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've heard a lot of good things about this place and it came recommended. I usually see a long line outside of this place too. I went there on a Saturday in the afternoon. I'm thinking that perhaps they had an off day. In any case, I wasn't impressed. The pizza was overpriced and oily. It actually hurt my stomach after eating it so I won't be back. They have nothing on Di Fara. Sorry.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1125; 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: Hands down, the best Italian food in queens.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.281481481; Sentiment_Subjectivity (from 0 to 1): 0.196296296 [/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: This rating is NOT based upon eating at this restaurant and is based solely on their reservations practices. I called up for a LUNCH reservation a month or so ago and the person answering the phone indicated they would need a card to secure the reservation.  I decided to opt out, but it struck me that the person may have been more familiar with the night time - I understand there is jazz and this would not seem as an unreasonable practice.  And so, I decided to call back again some other time.  I did so and was again informed that a credit card would be required to secure a noon reservation on a Thursday.  Beyond that, I would have two hours before the reservation to cancel or, otherwise, my credit card would be charged $20 per person.  Given the fairly affordable menu, I doubt $20/person would even be spent(?).  Not wanting to risk an $80 bill if one of my friends tripped on the sidewalk or such, I opted out.   Maybe it's an interesting revenue generator in a down economy...sort of a "We're betting you won't make it!" type deal. Perhaps they lock the door..."uh, nobody here but us chickens" ..."Hey, we made $80 for doing nothing! - TOUCHDOWN!!!" It just strikes me as strange and unacceptable.   Too bad, as the back garden looks like a pretty nice place to have one of their panini or pizzas. Well, I'm off to book my dinner reservation at Masa...perhaps they require a credit card too. ;-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148546007; Sentiment_Subjectivity (from 0 to 1): 0.510620915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So this is a hard review for me to write because I am a foodie and have loved this chef for years, but my husband and my experience here was sub par.  The food was OK, nothing spectacular.  Everything was tasty but cooked in butter and fat.  The decor was very surprising to me, extremely shabby chic.  This is not a elegant restaurant, rather very casual.  This restaurant defiantly has southern style food, so I was glad that the fired chicken my husband ordered was the best plate of the night.  The salted caramel dessert was good, but very rich.  Out of 7 plates we ordered that night, 2 were good.  Still not enough to be remembered by and certainly not enough to crave.  I was expecting to be blown away by this renowned chef, and instead was left with a lot to desire.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232268519; Sentiment_Subjectivity (from 0 to 1): 0.656481481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Brunch was delicious.  Awesome ambiance for lady's day out.  Unlimited mimosa for $14.00,  Saturdays only.   I ordered sausage (chicken anjouile), grits, scrambled eggs, and a side of home style potatoes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.9875 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went again last night...it had been too long! Mark the owner was there, as was the usual staff I remembered. All were very friendly, as always. The pizza lived up to my dreamy recollections. I'm normally an all-meat, all-the-time, kind of guy, but just getting garlic and mushrooms on one of these pies is absolute perfection. Oh, and contrary to several other reviews, there is a corkage fee...of $4, so whatever. People seem to complain that it's an expensive pie, but it's worth the experience. You get an exclusive, quiet, neighborhood ambiance, a delicious pie with top of the line ingredients, BYO wine...All told the evening cost $40, including tip. Not bad for such a meal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165625; Sentiment_Subjectivity (from 0 to 1): 0.499479167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummy panini, definitely going there again and again. I love the ambiance. I highly recommend this cafe for brunch time, their paninis are quite big for one person, you can always share/split it with your partner. I gave it 4 stars because I wasn't impressed with their savory crepes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.332; Sentiment_Subjectivity (from 0 to 1): 0.548 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Conclusion (Feb. 2009): There are better Italian restaurants in this city with both better service and better food for the same price. Try Centolire or Gnocco. This restaurant serves bland, overcooked pasta (priest stranglers were an insult to pasta; Trader Joe's sauces on al dente pasta would knock the socks off most of the pastas served here). Risotto was passable, mostly thanks to the seafood. The bread was tasteless, some pieces were slightly burned. Their versions of appetizers like the Mozzarella di Bufala and the bruschettas were simple and would take little skill to do (better) yourself. I saw nothing on the table (group of 10) that was prepared well or would have required particular skill. The staff was efficient but that's about it. When we first arrived, the host gave us a lecture on how we were behind "schedule" and repeated several times that we'll have to leave by 9:30. He was acting like it wasn't going to be worth his time to seat us for the 2 hours remaining of our reservation window. Hopefully we made it up to him with the $400 we left there, but we won't be back again. (I'll post this review elsewhere, since I hear Yelp lets restaurants pay them to remove posts.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.090277778; Sentiment_Subjectivity (from 0 to 1): 0.335657596 [/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: Authentic staff, wonderful food pairings. Flat Iron Shrimp with Fatoosh and Bone Marrow. Candy Bar was knockout punch. Wonderful experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.61875; Sentiment_Subjectivity (from 0 to 1): 0.71875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 by here for brunch today. It was great. We don't spend a lot of time in this neighborhood, but have tried out one or two other brunch spots on Courtelyou before. This is my favorite one so far. It was a beautiful out. I sat outside and enjoyed the special Bloody Maria to start the day. The lady and I shared The Breakfast Plan for brunch, along with a side salad. Everything was great. I like variety, and always prefer getting a little taste of a lot of dishes, rather than a lot of just one or two items. I was a big fan of the eggs, hash, grapefruit and side salad. I didn't love the squash & bleu cheese polenta, but im not a big bleu cheese fan. The kale salad was ok, but overall, it was a great meal, and i love that i had 6 different things to eat. We topped it off with some ice cream. I had the orange sherbert. My date had the salted caramel ice cream. The sherbet was good, but she definitely won on the ice cream selections. Hers was great. We sat there for a while, ate a bunch and had a few drinks. It was a very relaxed setting. i never felt rushed to get out because I'm taking up valuable space like a lot of ny places tend to make you feel - especially on a saturday brunch. Overall, food was great, the waitress was very nice. i definitely want to come back here to try out dinner or just some evening drinks. i would also definitely recommend it to friends as well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.263698157; Sentiment_Subjectivity (from 0 to 1): 0.54343318 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know, I know... I'm a blasphemer for not loving & adoring & worshiping Lombardi's.  While it is better than your average take-away or Ray's, I just don't get it.  I've tried it twice -- could both have been off nights? Was it because neither time I had to wait in line and thus wasn't in a hunger delirium?  I also don't get why Citizen Kane is the greatest movie of all time.  Maybe I need to watch it again while eating a pizza from Lombardi's...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25; 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: Excellent ! Une pizza "à l'ancienne" vraiment très bonne, une salade verte simple mais ultra savoureuse et un très bon service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.678571429 [/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: Had brunch at Balthazar Saturday, April 30. Fantastic! Sat at the bar with my daughter who is very allergic to dairy.  Was amazed at our bartender/waiter's knowledge of the food ingredients and preparation.  Thanks to Chris, my daughter was able to relax and enjoy a fabulous pasta dish without worry. I had the waffles and bacon, which were just perfect. I'm sure all the waitstaff is as well-trained and attentive as Chris, but on my next trip to NYC and Balthazar, I hope I'm lucky enough to be seated again at his station at the bar.  Great food and great service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.430952381; Sentiment_Subjectivity (from 0 to 1): 0.653373016 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love latin brunches and Beco didn't disappoint. $14.95 prix fixe that comes with any regular brunch plate, espresso, and choice of boozy beverage. I usually like the all you can drink spots, but considering I was riding my bike, 6 greyhounds would not be very wise. I had a really refreshing pineapple mint caipirinha, and the bife a cavalo. It came with filet mignon, fried eggs, rice, beans, and salsa. Everything was tasty and fresh. It's a small space but the windows open up with tons of light so even if you're inside you still feel outside. I definitely would like to come back and try their lunch/dinner menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.175833333; Sentiment_Subjectivity (from 0 to 1): 0.46474359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Thai iced tea with tapioca, calamari, shrimp tuxedo, spicy chicken with flat noodles, and Pad Thai. Enjoyed the food but as soon as i came home.... i had an explosive diarrhea... two consecutive times...never wanna go there again... and i am a big fan of Thai food.... the price was pricier than other Thai restaurants... the prices were like how it is in Manhattan.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.05; 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: 3.5 for the food 6 for the decor My jaw dropped when we arrived and were seated in the middle of the garden area. Wow. Just wow. It's like you're dining in the garden of Eden. I've never seen so many flowers and candles. For ambiance alone, this is a 5. Snag a corner table for a romantic or sexy date. As for the food, some were hits, some were slight misses, which is why I give it a 3.5. Highlights, however, include the patatas bravas. I always order this dish as a litmus test, and I would say these are the best I've ever had. Spicy and crispy.  The other standout is a paella. We were a party of 4, but ordered the size for 2. It was just perfect. Mind you, if this is your only dish, size up. I will be back to eat and canoodle in one of those dark corner tables, for sure!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.241666667; Sentiment_Subjectivity (from 0 to 1): 0.580753968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap for manhattan - great food & generous portions.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is simple, but good - like its name! The service is always good and nice and friendly! I usually get the Chicken Souvlaki lunch sandwich, simple but good and hearty. The chunks of chicken are huge so the sandwich alone will fill you up. The special soup they make is good too - basically all of their sandwiches and salads are tasty with fresh ingredients. Can't go wrong!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.20172619; Sentiment_Subjectivity (from 0 to 1): 0.642380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We've heard so much about Grimaldi's pizza  that On our way to New York on Wednesday we decided to stop by and see what the fuss was all about. From the moment I had to stand on line outside and wait while my husband parked the car I was taken back by how rude the gentleman at the door was to all the people standing in line to get into this dump. I asked him where does one park in this neighborhood since it was taking a very long time for my husband to join me and his answer to me was "good luck".  When my husband did finally arrive we were ushered up a narrow dark dingy staircase to an upper level  which had ceilings that were about to fall  from water damage. They sat us at the tiniest table ever and give you a menu that serves only pizza with different toppings. We ordered a margarita with sausage and peppers and two sodas.  The staff was inattentive and more interested in looking at the soccer game then attending to the needs of the patrons. The pizza came and it was not good. The sausage had bone fragments and it had way too many peppers on top which made the pizza soggy.  I am so sorry that we ever stopped there as I could've had a much better pizza in New York City. I don't know how they get the people to come here... I guess most people don't have a pallet for good tasting pizza.  As I came down the steps I encountered the rude doorman and asked him where the ladies room was located. He ignored me and walked totally away... The final straw... Who would ever want to come back to a place like this.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075936956; Sentiment_Subjectivity (from 0 to 1): 0.500619993 [/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 hated lamb.  Through the limited time I was served lamb, it was either seasoned poorly or cooked so well-done that the"gamey" taste lingered on.  I guess since "gamey" lamb was what I experienced, this soured my impression on this delightful meat permanently. Notice I said "hated" with a D in the end. Yes, past tense, people. Whoa, didn't expect a grammar lesson now huh?  I'm a believer for second chances and Ililli (I swear, typing this name makes me triple check on the spelling), renewed my faith of lamb. Who's a born again Lamb-eater? Me, that's who. Whoa, am I preaching now? It's true. You will never see me ordering lamb. EVER.  But when I attended the dishcrawl event and tried a sample of their lamb ribs with heirloom tomatoes, I fell in love. Such a tease, with it's well seasoned fall off the bone, non-"gamey", melts in your mouth, succulent, soft texture meat, with no strong after taste.  Yes, exactly.  Enticing flavors kept me wanting more. Our group of 4 ordered mainly appetizers to share amongst the group. We like "tapa" style/ family style sharing and the dishes do a good job. It's a good way to experience different dishes and what they offer.  Our waitress was awesome and gave us recommendations on what dishes were popular and those that were good for sharing.  We sampled about  8 mezzas (appetizers) and one main entree to share and we were beyond full.  Don't underestimate the appetizers because the sauces used are a bit heavy. Some dishes that stood out were: a) Black iron shrimp : well flavored with jalapeno, garlic and cilantro. It was juicy, spicy, and the sauce was a good dip for the pitas. b) tuna belly: AWESOME dish. Think Pork buns style but replace pork with tuna.  The tuna belly seriously melted in my mouth. c) duck shawrma: came out in a cone and resembled a crepe.  Mixed with duck and chicken over a grilled pita bread, this dish was really good. Not only was the duck juicy and well seasoned, the sauces of fig puree and garlic whip gave that combination of sweet and savory. d) lamb ribs:  the bigger portion of what I experienced as a sample in Dishcrawl.  Whatever I said earlier from my experiences at dishcrawl, magnify by 10.  Even though we shared the dish, I secretly wanted it all to myself. What has gotten over me? Me, fighting over lamb? So yes, this isn't your typical Mediterranean food cart. This is Mediterranean food,"suited-up."  Flavors will entice you, ingredients are fresh, lamb is amazing.  Decor? Initially confusing with all the mirrors-felt like  I was in a mirror house but it grew one me. This place is definitely a place to bring a date or to impress some friends. The price isn't as bad for the quality of food we experience. With about 10 dishes and a pitcher of sangria, bill came up to be split 55 a person.  Not bad for a fully satisfying meal with good ambiance. For now, Ilili is my standard for lamb. Let's see what else the future holds to my lamb eating adventures.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155467372; Sentiment_Subjectivity (from 0 to 1): 0.552799824 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: YUM. this place definitely possessed my two favorite things: brunch and san-muthaf*ckin'-gria!!! Upto 8 different kinds of sangria that's free with your meal. it was like heaven. i swear i saw Jesus in the sangria bar line getting himself another glass. i really like this place the food was good, the place has a lot of energy, which i like and the staff was very attentive. this is a great place for groups. just be sure to make a reservation!  this definitely on my list of hot brunch spots for me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.406505682; Sentiment_Subjectivity (from 0 to 1): 0.698989899 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Texas gal I have a guacamole  craving that is very hard to satisfy, even  the fancy pants places in NYC do not get it right. These men have conquered my heart. They toast the cheese on the tortilla prior to slopping on the goodies...perfection! Not only is the food yummy, but the staff is hot and the beer is cheap. They have also set a standard that more establishments in NYC should take heed and follow suite by being conscience of  environmental impact.The furniture in the place is all recycled from a barn and they use green-ware and compost their goods. I am in love. I recommend not going alone, one person waits in line while the other has to hover over people getting up to get a spot. ps they are vegetarian friendly as well..even vegan but they use chicken stock for the rice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.100545635; Sentiment_Subjectivity (from 0 to 1): 0.559573413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice people making great food. Rarely crowded, always fun and friendly. Please invoking the dreaded term "hipster" In reviews of this place. You sound like an idiot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282142857; 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: The pizza IS good but I think the hype and the fact that the place is only open for limited hours overshadows how good the pizza really is. It was really tasty the first time I had it but occasionally the pizza will come out really burnt and the pie is literally dripping olive oil. The burnt pies really ruin the whole experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.214880952; Sentiment_Subjectivity (from 0 to 1): 0.375099206 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing store. I shop here often. Excellent selection, top quality, and very fair prices-especially for the excellent quality; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.802; Sentiment_Subjectivity (from 0 to 1): 0.88 [/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: While chains like Subway make a mockery of the term "Sandwich Artist," it's nice to know the real maestros are still out there, practicing their craft at places like Pisillo. Having just inhaled a Cagliari on ciabatta - piled high with sopressata, marinated artichokes, provolone cheese, and a delicious hot spread - I can tell you, without reservation, that these guys are artisans of the highest order. Excellent ingredients, perfectly paired and assembled with care. At $11.00, it's not exactly cheap. But true works of art rarely are. I'll be back very soon to sample another one of their masterpieces, and if you appreciate the fine art of the sandwich, I'd suggest you do the same.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.376904762; Sentiment_Subjectivity (from 0 to 1): 0.633214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Liked the atmosphere...the food not so much.  Tried out some apps with the tuna tartar being my favorite and the blood sausage over polenta the least.  Overall food was a little too bland.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.092261905; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: FIRST OFF: RESERVATION get one. It's worth it. If I could give Employees Only 6 stars, I would. We ate here for our 14th anniversary. It was busy and noisy in the bar area. That means that there are good drinks. The wait staff was exceptional, attentive and on top of things even though it was crazy busy. I had the La Mikana and the Fraise Sauvage for drinks. The La Mikana was my favorite. It was grapefruit cordial, gin and champagne garnished with rosemary. SECONDLY: It's busy and noisy because it has amazing food! We had the Marrow Poppers and the Charcuterie. The chicken liver paté was the best I have ever eaten, velvety, smooth and creamy without the gritty dirty taste some chicken liver patés can have. My husband got the Porterhouse Pork Chop with Black-Eyed Peas & Savoy Cabbage. The pork was tender and the chop was almost 2" thick. The side was black eyed peas that were also savory and the best companion to the pork. I had the  Elk Loin Wild Rice, Winter Squash, & Parsnip. It was excellent! It came with elk marrow, which I could only eat a few small fork fulls since the portion of food was generous. The waiter suggested the cheesecake for desert. We are not really cheesecake people, but we figured we'd try it. It was smooth and creamy. Not the pasty cheescake with graham cracker crust that is everywhere. Our meal and experience was above and beyond. Those are the only words to describe.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.156451613; Sentiment_Subjectivity (from 0 to 1): 0.590053763 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't be fooled be the name. There's meat here! And it's really good meat! About a 10 minute wait on a Friday 8pm. But they give you beepers so you're free to leave the vicinity and wander around the block a bit. The ban chan was decent including one deep fried fish per person. My friend and I got the seafood pancake, spicy pork BBQ, and spicy seafood stew. All very delicious. More than enough BBQ pork for two. I like that they asked how spicy we wanted the stew (very spicy, of course!). Great service too (never water-less, never a finished plate just lying around).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.443518519; Sentiment_Subjectivity (from 0 to 1): 0.612962963 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Walked over to Brooklyn Comfort this evening for a bite to eat.  Menu is interesting. Has some Filipino influence. Intrigued by the Turkish Lo Mein, I ordered a small with lamb and a piece of crum cake. Sat and waited not too long for my order and overheard a couple ask others eating if what they ordered tasted good. She said she ordered the Lo Mein and that it could use some salt. Excited to try my entree, I hurried home.   First impression, only three pieces of lamb! Boo! Handmade noodles. Made in house were cooked well but was lacking in flavor. Dough wasn't seasoned neither was pasta water. Came with a homemade tzatziki sauce and chili sauce. Both very good.  Would I order again? Yes but please don't be so stingy with the lamb and add a little salt. Crumb cake was just okay. Will try chocolate next. All in all happy to have more options in the neighborhood. A welcomed addition. Will defined jury go back. Guy at the counter- Chris- very helpful and super nice!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.310046296; Sentiment_Subjectivity (from 0 to 1): 0.526666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 last time I was in NYC I vowed to never have Mexican food here again...cuz dammit, I need my Mex food to be served with arroz y frijoles not habichuelas and platano...but that's another review.. We stumbled across Taqueria and went in only looking for a margarita. I thought to myself what a fun place this is! 80's music playing through the speakers and 'Breakfast Club' playing on the tube. I'm in love! After perusing through the menu, we decided to get the chips & guacamole, a carne asada taco, and a carne asada torta. Let me start with the guac...  it had good flavor but I couldn't get past the creaminess of it...why is it so creamy? almost seemed store bought, it just wasn't the fresh, chunky guacamole that I'm used to. Nonetheless, I wasn't discouraged and proceeded to give NYC another chance to satisfy my Mexican food craving. The taco was good, but, be warned! It has a spicy kick to it.. I enjoyed the well seasoned steak, kick and all. The torta was made of the same delicious meat and also packed a bit of a punch as it comes with jalapeño slices. The margarita was the star for me... It was strong and one could have done the job, but just in case, I had two :) Also, one of the few places that isn't cash only.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283796296; Sentiment_Subjectivity (from 0 to 1): 0.484722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pros: + Service was welcoming and super friendly + Menu had a range of items to choose from (burgers, sandwiches, hot dogs, fries) + Food arrived within five minutes of ordering + A million different hot sauces to choose from + Breakroom fries were everything you expected them to be + Hand sanitizer for the aftermath Cons: - Breakroom burger (patty, pork belly, onion ring, runny egg, lettuce, tomato) was not amazing as I was led to believe. It did not have the umami taste, you know? The burger bun was comparable to McDonald's - Small space.. Holds about 12 people - Mint lemonade had a very subtle, almost fake mint taste even though you could visibly see mint in your drink Maybe I'll be back if a friend really wants to eat there but I wasn't blown away by the food. The fries were really good but not anything I can't recreate myself at home. I expected better for this steep price (compared to the rest of Chinatown). If you still decide to check it out, I heard the fish tacos are killer!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.07; Sentiment_Subjectivity (from 0 to 1): 0.561111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We wanted to go to Blue Ribbon for brunch, but since the wait was 45 mins, we decided to come here instead.  We were just passing by and the food looked good.   I had the french toast and my fiancee the burger, which was nominated the "best burger in NY" by Tony Magazine.  (What?  Never heard of it.)  That's what the chalkboard inside the restaurant said anyway.  We were both starving, so as the waitresses brought out other people's food we stared at the food and said mmm that looks good - I wish I ordered that.  Eggs benedict looked good, came with a side salad.  So did some sandwich.  Everything looked good. The french toast was decent, it came with carmelized pears and glazed walnuts which added a yummy dessert-like quality and fruity crunch.  It was good but nothing to rave about.  My fiancee said his burger was one of those where the bread is really buttery, but the meat wasn't too juicy or flavorful.  All the taste came from the bread.  It came with lettuce, tomatoes, and pickles on the side, and fries.  The fries were pretty good.  I decided to get a cup of coffee just because the brown sugar cubes and milk set on the counter in front of us looked so delightfully picture perfect.  The coffee itself was good stuff.     The restaurant had a clean, fresh morning ambiance, with sunlight streaming in the windows.  Overall, an ok meal.  Brunch entrees average at about $10, and sides are kind of expensive at $6.  Our meal totaled around $27 or so: french toast, burger, coffee and coke.  Average all around.  Oh yeah we saw A-list 2 celebs and a supermodel having brunch at the table next to us.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.346604938; Sentiment_Subjectivity (from 0 to 1): 0.479320988 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really doesn't get any better.  This place take happy hour to a new level (until 10pm that is). $5 happy hour for drinks that actually are taste worthy and are potent = good deal.  Food is also served, and it's not lame stuff or bland either.  It's always a place to think of during the when it is late and your trying to bank on happy hour happiness.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.37521645; Sentiment_Subjectivity (from 0 to 1): 0.624134199 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in for lunch, I was the  only customer (surprisingly), and sadly there was no AC. THe Shoya ramen I got was very well portioned, toped with generous amounts of toppings, very flavorful. The only thing is that the noodles were not cooked enough... Good overal, will def. go again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.184375; 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: Came here for lunch with my colleagues around noon on a Monday. The food is very well priced and extremely delicious. I've been to Yakitori Tori Shin and I think the value at Yakitori Totto is much higher for the value and flavor. I ordered the Karubi Don with the egg on the side. So decadent I practically licked the bowl. The egg came out just barely done so when I mixed it in with the rice, it was perfection. Will definitely be back many, many times.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.39375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Another excellent dinner at Bohemian.  This time we tried the sliders (all of them) as well as the foie gras soba and the dessert sampler.  All were amazing.  The dishes I loved last time were also great - mac and cheese, risotto and especially the uni croquette.  We were a party of four and there were plenty of dishes for everyone to choose from. Wines are reasonably priced and good, service is unobtrusive but nice.   Overall it's one of my favorite places in NYC and I can't wait to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.643055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here was delicious and different from anything I have had anywhere else. You have to be hungry, though. The portions are huge and the "comfort food" is extremely high calorie! We had to try the Atomic Fire Balls based on Yelp reviews. Little balls of deep fat fried mac n cheese served with sirachi sauce. They were very tasty, but I would prefer my mac n cheese the old fashioned way. My son had the fried chicken and waffle and liked it a lot although it was way to much to eat. I had the french toast bread pudding and it was truly amazing!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.204807692; Sentiment_Subjectivity (from 0 to 1): 0.560769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 used to really like this place but the quality is just too inconsistent and they don't do well when busy.  They used to really nail the Eggs Benedict.  I had it today and it was simply awful.  Way overcooked eggs, no hollandaise, a gross whole wheat english muffin, and overcooked mealy red potato home fries.  Also, they dont have half-and-half for the coffee so your stuck whole milk.  I've also had bad experiences with the oysters.  They are not shucked properly and often contain a lot of shell.  The steak dish is a chewy poor cut.  The place is just really poor quality and very inconsistent.  I have never seen this lack of consistency in their neighbor Colonie, or at places like Frankies 457.  I cannot fathom the four and five star reviews I see here.  If you look closely a lot of them changed their review after having a better experience the second time.  And others make excuses saying the kitchen had a bad night.  That's unacceptable.  There should be no bad nights.  Seriously, the place is just not good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.096666667; Sentiment_Subjectivity (from 0 to 1): 0.393333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the best and most consistent restaurants in the city. I go to market table at least 2 -3 times a month and the food is always consistent. I used to love the fresh falafel and am sad they removed it from the menu. the eggplant parm is amazing! biscuits are to die for. And pancakes? I dont even like pancakes, but i love theirs. light, crispy edges with fluffy center. and an added bonus for never having to wait for a table. Waitstaff is great too!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.310714286; Sentiment_Subjectivity (from 0 to 1): 0.517857143 [/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: NOTHING compares to this place. My friend and I had this in the rain after a 4 hour long baseball game (rain delayed) at 2 in the morning; even with this, the food alone would have given it the 5 stars.  If I could I would have given this place 6 stars for it's extremely cheap prices.  I wish we had something like this in the San Francisco bay area.  I would be standing in line all night to have their tasty food.   I had the lamb and chicken combo...with lots of hot sauce (make sure you can handle spice because their hot sauce is extremely hot) and yogurt sauce.  It was so good, I bought 4 plates to bring back home for family and friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13; Sentiment_Subjectivity (from 0 to 1): 0.648888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy, relaxed and romantic, but not private since you are so close to the other tables.  A party of four is the maximum you should even consider.   Decor quirky and fun.   Service was very friendly, but the food was slow.  Came on a Friday night at 8pm.  Entrees came at 10pm.   Food was simple, tasty, but not great.  Scallops were unevenly cooked (big ones perfect, but the smaller ones were cooked too long and were chewy).   Prices seemed a bit more Manhattan than Brooklyn, but the BYOB helped. I would recommend it to anyone in the neighborhood as a really nice place to go on a weeknight, but wouldn't recommend anyone travel for it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.094852941; Sentiment_Subjectivity (from 0 to 1): 0.532773109 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in Manhattan. The cuisine is great and moderately priced for NYC. The seats are small and little elbow room between tables. As for the pasta dish I had, absolutely to die for.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.177083333; Sentiment_Subjectivity (from 0 to 1): 0.708333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yeah, I like this place too.  The soba noodles have a great consistency, and they really help the June NYC heat.  This is on my list for every NYC visit...no matter what time of year.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; 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: People had been telling me I had to go to Artichoke for a year before I made it here. And it lived up to the hype. First of all, the pizzas are HUGE, if you're getting a whole pizza. For $30 for a large, five people were able to eat dinner, and still take home a few slices for the next day. We got the original artichoke pizza, which is delicious and creamy and cheesy and vegetable-y. I'm a huge fan of white pizza, so keep that in mind. But this blew my mind. My boyfriends is much more of a red-sauce guy, so he was a little less impressed, but he still left full and happy. I'd love to try one of their other slices sometime to see if their sauce pizzas compare. Just a word of warning - there's not really anywhere to sit unless you're getting a whole pizza. If you're just there for a slice, there's a separate window for take-out, and then a single bench on the sidewalk that everyone will crowd around trying to eat their pizza before it gets cold. So plan accordingly. Also, it's cash only!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.182257326; Sentiment_Subjectivity (from 0 to 1): 0.532417582 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the best cheap eats in the city.  $2.50 for a good falafel sandwich. A bigger perk is that even though it may look packed, the line moves rather quickly.  Food is served very promptly. Their hot sauce is really really good, although if you can't handle spice i'ld recommend using it sparingly.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.447916667; Sentiment_Subjectivity (from 0 to 1): 0.54375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I came here with a crew of 4 on a Friday night, hungry and looking for an open table somewhere, anywhere in the East Village.  There was one table left and luckily we were seated right away.  Service was attentive and friendly and we received drinks and appetizers within minutes of ordering.  The most memorable appetizers were their heirloom tomato salad and crispy gnocchi.  I appreciate it when chefs seize on the local vegetables that are amazingly tasty in a particular month and create lots of specials each night to celebrate the wonderful local produce!  Those heirloom tomatoes at the  farmers market have been so sweet and delicious lately, and I was thrilled to encounter them at Northern Spy in a tangy dressing!  In addition, my dining companions loved the crispy chicken livers. For dinner I got the polenta with eggs, which was a hearty, satisfying meal.  The eggs were cooked a perfect over-medium and went amazingly well with the lightly salted, creamy polenta. The portions were well-sized.  We were able to order 4 appetizers for the table and we each got an entree, and I left feeling pleasantly full but not overstuffed.  Definitely no room for dessert though! The place has a nice ambience that is suitable for a date or dinner with a group of friends.  They keep the restaurant comfortably dark with some candle light but not too dark.  It's a hip place that attracts the young folk.  Though it's not the most imaginative food I've had, it is reliably good and affordable and I'd definitely go there again in a pinch. It's a good place to take people who are picky about food, because they are sure to find something on the menu that appeals to popular tastes.  Lots of meat and potatoes type dishes, with Italian, French and American influences.   Though there was only one vegetarian entree on offer, I was pleased to have a good amount of choices with the appetizers and sides.  A place where both meat eaters and veggies can be happy is hard to find, but this is one of them!  Thank you Northern Spy for a good dining experience on a Friday night when we didn't have reservations!  Dinner was good enough to make me curious about their brunch, definitely . . .; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.32964398; Sentiment_Subjectivity (from 0 to 1): 0.616187481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Flavorful, creative, and homey. Love this place because it's casual and a residential fav despite the hype and craze that often takes over nolita/soho. My party originally just ordered a number of tapas, but when I still had some room left over, we decided to share an entree, a pasta special which was only so-so. I suggest getting a pitcher of sangria and staying the night ordering tapas until you're full. The watermelon and feta salad was delicious, the pickled vegetables perfectly pickled, and the kataif shrimp and falafal perfectly seasoned/cooked. Totally worth the dent in your wallets. Service was lovely-- when my mother somewhat rudely told the waiter "This sangria tastes like juice" he promptly returned with two carafes or rose and poured it into the pitcher, on the house. That's what I call good service.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.398883929; Sentiment_Subjectivity (from 0 to 1): 0.708630952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great meal, more expensive than you'd guess!  Ate here on a Monday.  Three of us, chose three meals and what we thought was an appetizer, turns out it was another meal.  All meals seem to be giant bento boxes.  No photos, so didn't expect that.  Someone should have told us. Anyway, Thursday morning I check my bank statement cause balance is weird and I see they ran my charge through three times!  Sent them an email, someone got back to me about two hours later. Said they see it and will try to fix it sometime the following week!  What the hell, it's almost $350.  I need my money, weekend coming, etc.  didn't respond to any other  contact.  Why not just put through two credits?    Contacted bank, waiting on them too. So it's Sunday night, still no money.    Food was good, no one seems to speak English.  So don't ask questions.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.056818182; Sentiment_Subjectivity (from 0 to 1): 0.456818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just left pies n thighs I will say it was a HUGEEEE disappointment. I normally come to yelp for its reviews. People were saying its the best southern fried chicken they ever had. Well you must have never had southern fried chicken before. We were the only African Americans in the place. So I'm assuming the ratings weren't from African Americans. The best thing on my plate was the tarter sauce. The drinks were nasty how can you mess that up. I will have to say to G. Garvin you definitely disappointed me with that review.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.105; Sentiment_Subjectivity (from 0 to 1): 0.431666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: $5 Lychee martini is AWESOME! Would totally get it again My friends and I had the five spice calamari with vietnamese honey dipping sauce, vegetarian pancakes with lemongrass sauce, and the fried ginger chicken wings with honey dipping sauce. Five spice calamari - BANGIN! Would definitely recommend this. Very different from other calamari I've ever had. Vegetarian pancakes - these were pretty much like scallion pancakes but sweeter. I thought they were pretty good. Fried ginger chicken wings - I thought these were pretty average. The sauce is very salty, kind of like a soy sauce. The chicken wings themselves were kind of burnt but not bad. I'm a huge fan of chicken wings so you need to really screw up for me to not like them. The menu is super difficult to read because of the font and the style of writing. Everything is just in straight lines so we had to use our phones illumination just to read it. NOTE: The upstairs bathroom is GROSSSS!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.094097222; Sentiment_Subjectivity (from 0 to 1): 0.722430556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mushroom pizza is divine! They are a little testy about sitting tables before everyone in the party is there - and by testy I mean they just wont do it. Once you get past the gatekeeper, the food is delish and reasonably priced. I have also ordered delivery and it travelled well and arrived hot. Get the beet salad for something on the "lighter" side - it is huge, filling, and yummy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.033333333; Sentiment_Subjectivity (from 0 to 1): 0.63125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 all the great Yelp reviews thought it would be a good local place to take a friend from NJ. Unfortunately we didn't get much farther than the door as the two hostesses, who looked barely 21, were less than helpful, had to get their attention from their personal conversation to let them know we were interested in sitting at the bar for drinks. One seat available, we asked if one of the (many) free chairs at the table tops could be moved over to the not at all crowded bar area, to which they barely acknowledged me and said no without even looking. Aren't hostesses supposed to be hospitable? Not here. Too many great places in the area to waste giving this place another chance if that's how they treat potential customers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.22254902; Sentiment_Subjectivity (from 0 to 1): 0.445098039 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good to be the king! It's also good to live around the corner from the king. As a Falafel fan, I have to say the quality and freshness is top notch. If you are in the area, you need to stop by.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.552840909; 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: Go here. Right now. Do not pass go. Do not collect $200. No more yelp listings needed, you have found what you were looking for. Now that you're there, order the Sicilian. You can thank me later. It might be one of the best I've ever had. And I have spent time in many of Italy's major cities.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.214030612; Sentiment_Subjectivity (from 0 to 1): 0.347959184 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, the Batali thing with the Stalin comment made this guy sound like a boob, especially in NYC, but he's been a talking head for long enough to firmly establish himself as a clown anyway.  On to the next social gaffe... Having said that, the sweetbreads are ridiculous here and I have a hard time avoiding any restaurant that has the Dominio do Bibei Lalama.  Great sherry selection too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.078030303; Sentiment_Subjectivity (from 0 to 1): 0.50530303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 trekking over the Brooklyn bridge, we were rewarded by another awesome pizza place! I've dubbed this place "pizza under the bridge" as that's what we were referring it as throughout our trip. A small pizza is $12 w/ 6 slices and a large is $14 w/ 8 slices. Each additional topping is another $2. Pros: - Big restaurant with two floors of seating (we were seated almost immediately at noon) - Pizza is big; giving you thin, fat slices that are easily folded - Coal-burning oven gives it that extra depth of flavor - Fast, friendly service - Large variety of toppings - Great price. A large w/ 2 toppings was more than enough for 2 people Cons: - Cash only! - Our pizza crust was a bit burnt - No pizza by the slice Was this worth the adventure over the bridge? For us first-time visitors, it was absolutely worth it as we got to sight-see, explore, and take our time. For locals? Not sure since there are a ton of great pizza places everywhere as alternatives.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222559524; Sentiment_Subjectivity (from 0 to 1): 0.517896825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 down-side of this place is that it's super-tiny. Not a lot of room. But you don't need any if you're going to eat outside or just take your fries to go. These are super thick Belgian style fries. Fried to order and served up in a paper cone! We got the 3 sauces combo. Choosing from 25 sauces was a little difficult so I asked the guy behind the counter which was the most popular. Mango Chutney! Also, from all the Yelp reviews I read, it seemed like the smokey garlic eggplant was popular too! For our third choice, I got the blue cheese, because my husband loves blue cheese. Mango Chutney and Eggplant were so tasty. Blue cheese was a disappointment because it was a little runny - not cheesy enough. All in all, it was a good experience. Staff was very friendly and accommodating. This a great place to stop by for a late night snack after the theatre (right across the street is STOMP!).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.103390269; Sentiment_Subjectivity (from 0 to 1): 0.544668737 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: No Credit Cards. No Reservations. No Slices. No Delivery. No Stripping. Just kidding about the last one... but really, Grimaldi's has a lot more "No" than it does "Yes!" for me at the moment. I'll admit it's been a while since I've been to Grimaldi's (as in I went when they were at the small location located 2 stores down from their current one) so perhaps I should go back before I write a review? Still, I have to comment on the whole Grimaldi's experience. After all is said and done, I didn't find the pizza to be super memorable nor worthy of the normal one hour wait. Where's my crispy crust? Where's my sauce? Wah. Thank goodness I did not have to wait in line that long or otherwise I would have been annoyed. This was the result of playing hooky from work on a Thursday in the summer. Service was a little pushy too. I get that you have a long wait outside, but this is a sit-down restaurant so don't give me an attitude or rush me through my meal. Maybe things are different at the new location (which used to be a gay night spot by the way!) with it's white walls and huge windows but I'm in no hurry to visit anytime soon.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.104809458; Sentiment_Subjectivity (from 0 to 1): 0.466368228 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 many memories of coming here late night while in college, although I must admit the first  time i went i didn't think the food was all that great. it was too greasy for me. luckily i was persuaded to go back, and it's been really good every single time since. now, this place isn't heaven on earth (although more than 400 reviewers on yelp seem to think so O_O ).  what it is is more of an experience than anything else.. kinda like those touristy spots that foreigners frequent in NYC (or americans abroad).  the lines can get absurdly long at night, but then again sometimes theres hardly anyone there. the line does get moving pretty quickly though. dont get me wrong, the food is pretty good. and it's also cheap, which is why i rate it a 4. a must if you're in the area (or if youve been out drinking for awhile and have a sober friend with a car). one thing i do appreciate (which is why i gave it a 4 instead of a 3) is that they now put the white sauce and the hot sauce on the side in little plastic containers. when i first started going, they would douse (and i mean DOUSE) the entire plate with the sauces , and that was too much flavor for my taste. now you're free to put as little or as much as you want. smart move; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.168136161; Sentiment_Subjectivity (from 0 to 1): 0.540978423 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is by far the best macaroon I've ever tasted so far!!! These macaroons offer perfect consistency and texture -- certainly top quality macaroons out there. The flavors are incredible and flavorful. Simply put: these macaroons are one of the best you'll ever taste. The only downfall would be the price: a hefty price tag of $21 for 6 macaroons.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.47953125; Sentiment_Subjectivity (from 0 to 1): 0.735714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So, I did enjoy this place, but it seems like every other Mediterranean place. Fortunately, my family, boyfriend and myself went on a Sunday evening and got served right away (we were almost the only people there). My family had no complaints, they seemed to enjoy the food. I did like my food, but I probably should have asked them to take out the tomatoes. I don't think there was anything wrong with them, I just really don't like tomatoes. Anyway, like I said, the food was generally good; I just wasn't "wowed". My boyfriend said it was because I didn't have a meat dish, but whatever. If it's of any help, apparently the lamb is superb.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255519481; Sentiment_Subjectivity (from 0 to 1): 0.605519481 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 high expectations for Emporior, thanks to all the good reviews. While I acknowledge the food was enjoyable, I wasn't blown away by it, and I certainly was not blown away by the service. We walked in on a Tuesday night - didn't seem too busy at all. We liked the interior decor and the general ambience, but although we already had 3 out of the 4-person party, they refused to seat us until all of us were there. Fine, lots of NYC restaurants have that policy, but when you're not busy, I don't see why you have to stick with the rules that hard when the majority of the party is already present. When we decided to just seat the 3 of us (since the 4th said he wouldn't be eating with us and would be late), we saw the hostess eye a rectangular table of 4, but decided to seat us at a smaller, round table. This just made us feel that the real estate was just too expensive to waste on us. Normally when you're a group of 3, you get a table for 4. Were we not worth the space???? Also, when my brother, who was visiting from out of town, asked a waiter walking by for the check, the waiter completely ignored him. Perhaps tips are not shared with everyone, but only left with your personal server, but a little acknowledgement is the basic minimum standard for social decency. The waiter didn't slow down, didn't nod, didn't say anything, but just maintained eye contact with my brother, which means he obviously saw and heard my brother. We apparently had to wait for our own server to ask for the check. Really??? While I acknowledge that the food and ambience is good, the service left a sour taste in our mouths. So disappointing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.049725355; Sentiment_Subjectivity (from 0 to 1): 0.400885547 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 always crowed.I love to go here every time visiting NYC. The cheese platter followed with coffee and pastry was so delicious.  We bought pasta sauce and fresh pasta for dinner tonight that we made few min ago. Wow that was a great idea.I Highly recommend going there. So many things to try or bring back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.351111111; Sentiment_Subjectivity (from 0 to 1): 0.554444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 9 year old sister, visiting from South Jersey, and I were craving dumplings when we decided to check out Prosperity Dumpling.  Now I completely understand why Prosperity has a thousand plus reviews and is still quality.   Prosperity is a tiny hole-in-the-wall spot with a few stools squished together for seating.  It's primarily a take-out spot, so when my little sister and I arrived she commented, "I thought this place would be bigger!"  I guess I sounded like a Yelper as I explained to my sister, "Well this is a takeout-quick-eat-lunch=counter type of place. A guy near us, who also could have been a Yelper, smiled. Yes, that's exactly what Prosperity is. Putting that aside, we claimed two stools and squished in to enjoy our hearty fare of a sesame pancake with duck, boiled pork and chive dumplings, fried pork dumplings and sesame noodles.  All of that plus two water bottles came out to $7.50.  Nice.  Our favorites were hands down the boiled dumplings and sesame pancake.  The dumplings were succulent and flavorful with this beautiful chew to them.  Yum!  The sesame pancake would have even been delicious with out the duck.  The texture was perfect.  Just writing this has me salivating. The fried dumplings were good, but the boiled was much better thanks to the texture.  The sesame noodles were quite bland but soy sauce fixed that.  All in all, I will be back and I know when my little sister visits again, she'll want another Prosperity fix as well. I highly recommend this spot as a cheap, tasty eat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.268511111; Sentiment_Subjectivity (from 0 to 1): 0.496488889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Il Bambino, I must apologize for not trying you sooner. I'm glad I finally came to my senses. I came here with a party of 7. We only had to wait for the few minutes it took to put the tables together to be seated. I don't remember much about the interior, but i do remember feeling quite at home. The hardest part was deciding what to eat. Everything on their menu sounds delicious, and everything we tried was delicious. They have a great variety of paninis and crostinis to fit many different tastes. I tried 3 crostinis: Manchego and membrillo, Goat cheese, chorizo and avocado oil, and Truffle egg salad and shaved speck. All 3 were divine. I loved the different textures and complex flavors of each one (I'm drooling just thinking about them). Everyone at the table was happy with their food. Our server was excellent. She made sure our drinks were full, and our orders were correct. She even split our bill for us at the end of the meal. I will definitely be back to Il Bambino next time I have a fancy sandwich craving!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.639444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 places to eat in NYC! Do yourself a favor and get the spicy cod roe spaghetti, it's my favorite dish! From yakitori to onigiri, tverything I've tried here is delicious. It's a small place that fills up fast. If you're going during a busy time, be prepared to wait or go at non peak times. The servers are attentive and quick. The environment is very chill and relaxed yet home-y feeling. This is a wonderful hidden gem. I plan on eating here often!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.365909091; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a Sunday - service was attentive and place was crowded but not packed. The menu is limited, with standard brunch fare.  The food quality is a step above a typical diner in the area, but not exceptional.  If your expectations are in the low-medium range, you will avoid being disappointed. There is one menu item that deserves special mention.  The sausage side was like no sausage I have ever had (not in a good way.)  It was like a mini-burger made out of sausage.  It was very crispy on the outside, and pink and almost bleeding on the inside.  I have no idea who thought this was an acceptable way to prepare a sausage, but some education is sorely needed. If you crave mussels, the monday all you can eat special is a good way to get your fix.  The preparation is acceptable but not outstanding in any way.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.06952381; Sentiment_Subjectivity (from 0 to 1): 0.484047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in almost every way.  Excellent food and attentive and friendly service.  Good wine and drinks list.  Only problem is that it's too small to accomodate the many people who want to eat there.  Expect a wait, it's so popular. Oh, and we've been so often we've had everything on the menu!  It's not the cheapest meal but for the high quality, it's well-worth the money.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4635; Sentiment_Subjectivity (from 0 to 1): 0.734 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They didn't have any concept of spicy.  The mussels in our Tom Yum Seafood soup was a little too fishy tasting.  The chicken pad thai, which you would think would be a staple dish, was rather bland.  The chicken cashew reminded me of chicken mcnuggets.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.430833333; Sentiment_Subjectivity (from 0 to 1): 0.836666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing!!! Tried the one with rum, fried banana and ice cream, awesome. A friend had the one with Nutella. All super delicious, will return and highly recommend; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.698666667; Sentiment_Subjectivity (from 0 to 1): 0.821333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is GREAT.   The 'summer special' is an easy home-run.  For 32$ you get classic BBQ beef or pork with the most ridiculous pile of greens I have ever seen.  You've got everything from a piece of seaweed to sliced radish, big leafy cabbage, kale, dandelion, carrot, cucumber, pepper, and more that I did not recognize.  Along with a generous portion of salty fermented bean paste, you really feel good taking down what is ordinarily a meat-heavy meal.  Mind you the BBQ that comes with the special is cooked for you, not at the table.   Service is fast, and it has to be - the place is packed and loud, but even at rush hour I sat my 4-person party down in 15 mins.   You won't find the world's most exotic banchan side-dishes here, but the price is right,  and your dollar stretches almost as far as your belly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.240277778; Sentiment_Subjectivity (from 0 to 1): 0.56531746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We wish Caesar can rise again just because "Julius the server" is so amazing! Not only is he incredibly attentive, but also made an extra effort to protect his patrons from bar creepers. Aside from the great food and drinks, Julius is the best part of the establishment. Be our BFF?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.491666667; Sentiment_Subjectivity (from 0 to 1): 0.658333333 [/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: Best Ramen in New York City.  Horrible waits, but I think overall, it's worth it if you really love ramen.  Akamura Modern is the ramen  to order.  Hirata Pork buns are a must.  I also like their kakuni.  Bottom Line: great food in a nice atmosphere.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.281818182; Sentiment_Subjectivity (from 0 to 1): 0.500505051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 real deal. Actual craft beer bars are surprisingly sparse in Manhattan but this place is one of the exceptions. All sorts of American craft breweries to choose from. The menu is organized by style (Stouts, IPAs, etc.) which is very helpful. Don't come in here looking for a Corona, you won't find it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22; Sentiment_Subjectivity (from 0 to 1): 0.24 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quaint place, charmingly appointed. The chocolate cayenne brownie was delicious! Not overly sweet, not too spicy, not the least bit dry. Moist with just enough kick - just how I like it, Yelp. The staff here is friendly and inviting. The playlist had my toes tapping. This is such a sweet place. I definitely plan on returning.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.240833333; Sentiment_Subjectivity (from 0 to 1): 0.63 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There has been talk of Ramen...... Of the Miso kind.............. On a cold night in Gotham Robin put together our much needed Ramen outing. There she sat in the corner window seat waiting for my arrival, it was a comforting place to walk into on a cold night knowing that I soon will be able to write another review on a new experience on one of my favorite foods.  Will I be disappointed? Will I be surprised? Will I be asking anymore questions? I did, I asked how big the Ramen was because I saw they had buns.  And she insisted we get some anyway.   "Kobe Beef Buns, please and an order of miso ramen." I didn't order any beer because I knew I needed to taste all of this, how could something like this possibly disappoint someone who was starving himself all day working around food because of the excitement of trying a new place. I wasn't blown away but I wasn't disappointed either.  The buns were good just a bit on the sweet side for me and red meat.  I'm not saying that if I was to return I wouldn't order them again.  Nope cause then I'd be lying to you. Miso ramen, O do I love miso ramen.  And yours wasn't the greatest broth but on the other hand not the worst.  It had flavor, but a bit too much kick.  Don't get me wrong I like a little kick, but miso to me will always be more of a savory flavor, salty yet flavorful also not overwhelming.  The noodle itself was perfectly cooked.  Yay? Side note: your spoons are Ginormous.  I have a tiny tiny mouth it was difficult to adjust, not asking you to change it, no no you are entitled to use a large spoon just sometimes I take off the batman mask and put on my captain obvious one.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.044339129; Sentiment_Subjectivity (from 0 to 1): 0.657666527 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would say that this place is intimidating upon arrival because of the french castle decor, the petite chandeliers and drapes hanging off the ceilings.  The hostesses are of a model appearance in strict and sleek black and white attire.  There is a mandatory coat check at the front.  The crowd is also very in tune with upscale. Dinner reservations are recommended but we were accommodated with a slight wait, enjoying a few very special cocktails of fruit puree and spirits.  The dinner was what you expect of an upscale restaurant, everything was unique, exquisitely presented, small portions on big plates.  The service was outstanding and catered to every wish.  They served off the menu warm up snacks, post dinner palate cleansers and a cookie tray.  It was an "experience" to say the least, and that is what made it all the more special.  I found the environment really romantic and perfect for a date.  The bathrooms downstairs were also in a french castle style.  Its expensive, but when its delicious, memorable and you get a food souvenir in the form of a pound cake freshly baked in their "bakery"  type thing on your way out with your coat, it makes it all worthwhile.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24852381; Sentiment_Subjectivity (from 0 to 1): 0.519571429 [/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 favorite ramen restaurant by far. If you're gonna get an appetizer, you must get the pork buns. They are soo good. The ramen itself is also fantastic. The portion might not seem big but it's really filling and the broth is amazing as well. The 2 times that I've been here, I never had to wait long so I can't complain about the wait time. I highly recommend this place to anyone wanting to try some ramen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.626666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small space (not great for groups bigger than 4-6) but they pack you in nicely with the gorgeous communal tables. Rustic feel. Another reviewer said it was like a garage and I agree, but it feels like so much more. There's something about the open kitchen that helps make it feel not so small. Somehow the noise isn't too bad to have a conversation (thinking about Republic @ Un Sq as a comparison). I just really like the ambiance. The service was fantastic, the food was quick even though it was relatively full and co-owner, Phil, greeted us, check in on us several times during our meal and also shook our hands as we left. Very rare to find that kind of warm service. Phil seemed like a down to earth dude w/ a funny sense of humor. Friendly but not that oozyshmoozybrownnoser type of friendly. He actually seemed to care. The food was really good. It's very veggie friendly (YES!). And the price was on point.  Been to Bozu & love their food as well. These prices were at least a few $ cheaper but definitely comparable. Here's the rundown: -Carrot Shiso soup: I loved it!! Smooth & flavorful. The Boy said "it was too carrot-y" lol -Kabocha: I love this pumpkin but I remembered my extreme distaste for dashi. Too bad. Was cold, simple but small. The boy finished it off. -Japanese potato salad: they were out. :( -Rice Croquettes: There's just something so fantastic about fried balls of rice & cheese. They do it perfectly. I was contemplating ordering another bowl. Or two. Or three. NUMNUMNUM... -special - Japanese Fried Chicken - Phil told us it was chicken thigh, marinated a few days in orange something or other (sorry if I'm completely off!!): The Boy loved it! It was a huge portion, too. -Guacamole Roll: I couldn't really taste the 'guac' part of the roll...but it was yummy! The rolls were sitting on a bit of sauce that was delicious. Can't put my finger on what the taste was. -Inari: can't go wrong with inari!! they jammed it with rice & topped it with pickled veggies. -Eel roll of some kind: he was too full from the chicken so he got this to go! -Toasted brown rice tea: $3 and you can easily get 2 servings from it. Clean flavor. One of my favorite teas. Look forward to my next visit!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.134276104; Sentiment_Subjectivity (from 0 to 1): 0.597798859 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 everyone says, the spaghetti is one of the best meals that I've ever had.  The polenta and the duck and foie gras ravioli were delicious and mouth-watering.  The ambiance (open roof) added to the meal.  Would definitely go back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.54; 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: I loved this place! So beautiful! Me & my husband came here for our friends' party. We were very happy to spend the night at such gorgeous place. Loved the interior! Gorgeous! I am giving 5stars for the interior decor, and for the atmosphere in the restaurant. We had great night! However, one of the bartenders were  giving us an attitude. She was super unhappy and not nice at all of the customers. Everyone was talking about her attitude. So service gets no stars! And the worst part came at the end of the night! The bar team decided to cash out on our crew! And double charged for shots on each bill. No! No! No!!!!!!! And the best part was- we were told that the owner was at the end of the bar. I guess that's how he taught the team to do, if the customers are tipsy and happy! Sorry, guys! Not coming back again! And when we told them about the bill, they knew what we were talking right away. Please, don't put your tricks on New York'ers! As I said before- this place would get 5 stars in a heart beat- interior super beautiful, food- delicious, nice cocktails, but the way they treat their guests- unacceptable! Be careful if you are coming for drinks in a large group and with different tabs. Not coming back! And it's a shame, because we liked the place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3629329; Sentiment_Subjectivity (from 0 to 1): 0.714363018 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in on a Wednesday afternoon since I was in the neighborhood. Heard the buzz and thought I'd try them since I'm a fan of BBQ. Ordered a pulled pork sandwich for lunch and had a glass of bourbon while I waited. The bourbon was outstanding!! They have an excellent selection of many brands I've never heard of before and the bartender's recommendation was spot on. The pulled pork sandwich was also very good. I had a few beers after my sandwich and ordered a to go bag for dinner. Since it was my first time there and I already had the pulled pork for lunch, I ordered the brisket and ribs for dinner with fries and cole slaw. My friend and I ate them for dinner and both agreed the ribs were very good, the sides were OK...but the brisket was sooooo salty!! OMG! It was nearly inedible. We tried cutting the overwhelming salty flavor by dunking the brisket in sauce but that didn't do much so we just cut all the blackened ends off the brisket in order to eat it. The meat itself was excellent. Did someone make a mistake with the dry rub? This is a decent neighborhood place but not worth going out of my way to again. Ask to sample the brisket before you order a pound and a half to go!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.320677083; Sentiment_Subjectivity (from 0 to 1): 0.587604167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!!!! Best Brisket Ever!!!! Super tender! and moist!!! Love the sprinkle of kosher (would be ironic) or is it sea salt on top of the meat! The Beef ribs were also just fall-off-the-bone delicious! Did NOT expect to be this satisfied and pleased with the BBQ here. Glad we came in anyways! My group actually decided to come here after a lackluster event in Chelsea called the Beer Bourbon and BBQ event. The drinks were great but we were so underwhelmed by the BBQ they offered there, we decided to go to Mighty Quinn's!   We kinda went all out here and ordered much more than we could eat, but I guess that happens when everyone you're with is pretty inebriated from Beer and Bourbon. The sausages was good and I don't really remember the sides we ordered, but the most amazing thing we had was the Brisket! I'm salivating as I'm writing this... The Beef rib is really a HUGE piece of Short Rib. (Reminds me of the Short rib dish at Favelas yelp.com/biz/favela-asto… that I love!) Its great, but I think its kinda pricey. The interior of the place is nice and there wasn't much of a wait before we found a seat for our group of 5. You order first and seat yourself. Mighty Quinn's has just made the top of my list for Southern BBQ in NYC! Haven't been to Dinosaur BBQ yet, but Mighty Quinn's tops Hill Country BBQ, Daisy May's BBQ, Brother Jimmy's, and RUB (back when it was open).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.441837565; 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: Wasn't bad but wasn't great.  The atmosphere was bland, the server was nice, and the food was forgettable.  Can't really picture going back and we live in the neighborhood.  Would have given it 2 stars if it hadn't been for our great server.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.12996633; Sentiment_Subjectivity (from 0 to 1): 0.577777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Owned by such a cute, nice old lady. The menu is definitely inexpensive. She's super quick with the order. I love the rice noodles and fish balls. I usually get a medium ($3). Worth it in my opinion. You'll be full for a while.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.251515152; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not one to be unduly effusive, I am compelled to sing the praises of BentOn Cafe as it represents an oasis in the drab desert of Midtown East sameness.  Contrary to the places on 41st Street near the NYPL, BentOn, in spite of its small space, packs a big punch in variety and flavors.  The Cafe also scores well, owing to its sense of cheerfulness, as exuded by its staff, and cleanliness. I will be a regular, to be certain. Oh, did I mention that BentOn has something called mochi donut?!?!  Forget about cronuts, you chumps, head to BentOn if you are in the area and give it a swirl.  Just don't spread the word too quickly as I am too impatient for crowds and lines.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.04545068; Sentiment_Subjectivity (from 0 to 1): 0.421193093 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want to like this place because everyone else does, but I honestly think it's a bit overrated. Nice outdoor area our back for warmer months, but the food here is inconsistent day to day and the waitstaff is inattentive and presumptuous. Not as authentic as the hype makes it out to be. Won't likely be returning.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.34; Sentiment_Subjectivity (from 0 to 1): 0.73 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 roommate has been telling me so much about this place, I HAD TO GO VISIT! Unfortunately, they are out of the liquor license right now, so they can't serve drinks. We came here for drinks, thus were quite disappointed. However, Luis, the bartender, was very nice to offer us some virgin cocktails while we were yelping for a different place to go.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.010952381; Sentiment_Subjectivity (from 0 to 1): 0.680952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the only restaurant that can drag me down to Chinatown.  I've been going here with my family since I was in middle school.  It's a tiny Chinatown hole in the wall that consistently makes great homemade wonton and flavorful soups.  I love their roasted duck and simple vegetable dish.  Also, it's amazingly cheap and open late at night.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116203704; Sentiment_Subjectivity (from 0 to 1): 0.46807209 [/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: Best tempura fries, sushi and burgers!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their food is always good and the quality is consistent every time we go! Good service is extra!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.428125; Sentiment_Subjectivity (from 0 to 1): 0.3875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Come for the burgers, they tell me. Come for the sawdust on the floor. Come for the bartenders and waitresses with authentic Irish accents! And, sure, those are plenty of good reasons to attend this traditional Irish pub with the "authentic" low lighting.* The burger (with cheese, natch) will be sufficiently tasty, even if the chicken fingers were lacking in any sort of flavor. ** But the most important reason to come here is the super-friendly bartender whose name I did not get and be nice to him. He will probably listen to your incredibly detailed questions about different types of pint glasses (the ones I like are called 'tulip' style***) and, if you are really nice (and tip well, one presumes), he might even give you a couple since the only other way to get them is to buy 144 at a time. Not even I drink that much. * - Even if you've walked by four or five other similarly-setup bars between the 3rd Ave. 'L' stop. ** - And they don't have ranch dressing. Gah! *** - And, fortunately, not the dreaded Hamster style. I swore years ago I'd never do Hamster style again; don't ask me to now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.186363636; Sentiment_Subjectivity (from 0 to 1): 0.613131313 [/INST] Not Spam</s>