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: one word: ribs!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I LOVED this restaurant! The food was incredible. We had bruschettas, pasta, white pizza, rice balls, etc. Everything tasted great. The ambiance in the restaurant is great. Very cool decor and an AMAZING play list. The only complaint I have is that it was a little crowded by the door, but that wasn't such a big deal. I would definitely recommend this restaurant. Make sure to make a reservation!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.32625; Sentiment_Subjectivity (from 0 to 1): 0.616706349 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 didn't know what to expect. We picked this address from our Rough Guide (it had a 'star' where Sylvia's didn't). We were not dissappointed. The staff was very helpfull in our choice. The place is filled with a good mix of locals and tourists. Meal started off great with a spongy cornbread which raised our appetite. We took the fried chicken and the bbq ribs and both where nice. Took fries and coleslaw with it. Sounds very basic but was very tasty and ample. We saw most locals asking for a doggy bag which gives a good idea about portions. You try to eat all because it tastes so good but... A little but important detail is that the soda from the soda fountain tasted as good as when it would have come out of a glass bottle which is almost nowhere the case. So a plus for that. No frills (amateuristic colourfull interior design and local r&b, supported by hums by the staff), just great food. Our starting point for a long walk through Central Park walking calories off.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288125; Sentiment_Subjectivity (from 0 to 1): 0.533125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 having book marked this place for half a year, it only took an Yelp Elite event nearby to finally drag my lazy traveling butt to this area of Williamsburg to try out what some people raved as one of the best fried chicken in NYC.  Right after the Yelp event, 3 other Yelpers and I headed out to this place.  It was about 10:30 PM at this point on a Friday night.  As soon as we got within a block of the restaurant, we knew which one must be Pies 'N' Thighs because it was the only place jam packed with diners and a small line of people outside waiting to get in despite the late hour.  My first impression of the place from the outside was "shoot this place is small", which ended up being deceptively wrong since after an half an hour wait, we were lead to a back room with more seatings.   Being in a place called Pies 'N' Thighs, how could we not order some pies and some thighs.  More specifically I ordered one key lime pie and southern styled fried chicken thighs.   The fried chicken was a order of the "Chicken Box" which came with 3 jumbo sized chicken pieces, a side, and a biscuit all for only $11. It's a lot of food for that price. The fried chicken was incredibly crispy with a very nice crackle and crunch from the fried exterior while maintaining a moist juicy center. The fried chicken was not oily at all.  I hate oily fried chicken which soaks up into the batter and makes what is supposed to be crispy skin into a soggy mess. ( I'm especially looking at you KFC. ) Just a little more spice in the recipe would have made it perfect in my opinion. As a side, I chose the mac n cheese which was good but not great.    Al dente macaroni pieces covered in cheese and with a slight dash of hot sauce on top, I would have preferred it to be a bit cheesier.   The key lime pie was tangy and slightly sour / tart while being pleasantly smooth. It comes topped with a whip cream that was so thick that I mistook it for a scoop of ice cream at first glance.  One of my dining companion said she used to eat a lot of key lime pies in Florida so she was kind of picky about the key lime pies that she eats.  She gave a thumbs up to Pie's 'N' Thigh's version.  All I know was that I  took a bite, turned my attention to my fried chicken for a few minutes and when I looked up again, the rest of the pie was devoured by my friends with only bits of crumbs left to mark it's former existence. This place also have one of the cheapest sodas I've seen inside a restaurant at $1 a can with ice.  Sure you could get that price inside a grocery store but for a restaurant, this is a bargain.  I am used to paying about $2 to $3 a can when dining in NYC. 3.5 stars for food but 4 stars overall considering the value.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.016196429; Sentiment_Subjectivity (from 0 to 1): 0.595618386 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Still my favorite burger around! Doesn't get better then here. Try their fried calamari as well.; Max_Daily_Reviews: 17; Sentiment_Polarity (from -1 to 1): 0.5625; 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: Came here with a friend for lunch today. The place was pretty packed and isn't the best place for groups. They have a bunch of small tables made for two. When we got there we had to wait a bit for seats, but when we sat down the service was REALLY fast. Then the food came out really fast. For $14, I got a bowl of rice with chicken katsu don and a bowl of udon noodles. My friend had the same. It was delicious. Maybe it's because I'm a boy, that those two things were just enough to satisfy me. On the other hand, my friend whose a girl, only was able to finish her noodles and was happy to take her rice dish home and eat it for dinner later tonight. So overall, this place was excellent. It's definitely a place you can run to quick to get a bite to eat with a friend for lunch, I wish there was more meat as well, but regardless it was still delicious!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.269179894; Sentiment_Subjectivity (from 0 to 1): 0.583994709 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love their food - but the service is always atrocious. Sadly I only go about once a year and cross my fingers for a good experience. Take-out frozen goods are an option.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.64 [/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: Good. Local. Fresh. Pretty. Sundae with salted caramel and popcorn. nice servers. good drinks. Kanye West comes here sometimes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Living around the corner from this place, and considering the limited food options in this neighborhood so far, I desperately wanted to love this place.  I went in on a weekday nite, my suitor friend and i were the only ones at the takeout counter, and yet somehow everyone who entered after us ordered, paid, and got served before us. The dirty look we got from behind the counter was on par with looks we typically get due to our interracial pairing. Not only did it take practically 40 min (and normally i would've never waited, but was so hungry couldn't bring myself to leave the promise of food), but we were clearly charged a different price than others.  Despite the bad impression, I still couldn't wait to try the food. The fried chicken was overly breaded and soft, and the mac and cheese lukewarm and bland.  I had to add salt, pepper, and my own seasonings to it when i got home.  So disappointed, and will never ever go back to this place of inequality.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.131488095; Sentiment_Subjectivity (from 0 to 1): 0.665059524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new contender for the lucrative pie of the NYC culinary market that is "BBQ". Hometown BBQ is basically on the water in Red Hook, a convenient 2 or so blocks from Ikea. The space is pretty big and has tables in the front bar area and also in the back serving area. Apparently I was talking to someone else who was a regular, they have smokers in another piece of property a block or two away that handles the meat. It gave me the impression that they had a lot of room to work with but when I went there at 5 pm on a Saturday they had already run out of beef ribs and some other items on the menu, so make of that what you will. The first thing you'll notice about Hometown BBQ is that the food is expensive. Brisket checks in at $14 for a half pound. A rack of ribs checks in at $29. These are wallet busting prices. For this price the food better be damn good... and it is. The brisket is plenty good, nice smoke ring and bark (ok I'll stop) and good moist fattiness to it. The jerk baby back ribs are the highlight here. Cooked perfectly, just ripe. Tender... smokey flavor. Easily the best god damned ribs I have ever had. I don't say that lightly... I've had ribs in lots of places and they are usually mediocre in one form or another. Some aren't fresh and try to hide it with sauce. Others are smoked too long and charred to a crisp. The ribs here are tender, still a bit juicy with excellent smoked flavor. If you asked me where the best BBQ joint in NYC is, I would have to admit as of June 2014 that it's in Red Hook Brooklyn. I'm leaving one star off because the lines here are a bit ridiculous. I came in shortly before 5 pm and the place was pretty much empty with tons of tables available. It took me damn close to an hour to get to the front of the line... they need to work on that line. They got 2 people ringing up orders but the process is just slow for some reason. If they managed to get the wait down to something reasonable say 15-20 minutes during peak, they would be flying.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.220766879; Sentiment_Subjectivity (from 0 to 1): 0.481456774 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Market Table will always be my favorite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 that I'll bump to 4. Was in town and my friends suggested going here.  We were lucky to get a table almost immediately walking in on a Saturday afternoon.  I wasn't really in the mood for soup and decided to go ahead and order the chow mein with pork and black bean sauce.  It was good but not so great that I'm craving it now.  I think there were definitely way too many bell peppers in it.  The noodles were great and crisp and w/ the sauce on top eventually got to a good soggy. Service is minimal.  You order, they bring you food and you're done.  Should you need anything else, expect to flag servers down and almost yell to get their attention.  Definitely a good cheap spot and expect to share a table if there are only 2 of you occupying a 4 person table.  Cash only.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.32124183; Sentiment_Subjectivity (from 0 to 1): 0.604248366 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and goat cheese frittata is amazing!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came after a late flight from LA... This is usually a regular spot for me and the bf. It's basically Japanese bar food or shall I say tapas. Each item is about $6-8, a bit pricey but most of their items are delish!!! A must try if you want something different and are in the Times Square area. We ordered, beef tongue, octopus in wasabi( my bfs favvv) it's slimy and wasabish, eggplant with miso sauce( looove!) Beef short ribs(very moist and tender) Bonito slices with the garlic chips are amazing! Mmmmm.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.203794643; Sentiment_Subjectivity (from 0 to 1): 0.425274725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: dream space to live in. if that sounds weird, it used to be andy warhol's loft and studio space...... soooo amazing!! anyway, not only is this an absolutely chill environment, it also happens to serve some solid food. i love foie gras and uni so the go to order is foie gras sushi, foie gras soba (cold), uni croquette, teriyaki burger (sweeter and juicier than the bohemian burger), and poke. its probably better to order items you don't see too often~ anyway, expect to have a relaxing meal that wont feel rushed by any means.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.130429293; Sentiment_Subjectivity (from 0 to 1): 0.722222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Now that BarB Que is closed, I am even happier that we have this new addition to the neighborhood.  The only other place nearby is Kitchen Bar and the "Bar" seats only about 8 people. Well, the place is very clean, Playboys wallpaper in the bathroom, 12 pitchers of decent beer (I asked what toby's brew was, but I forgot).  The pies are great, but could be bigger for the price.  I'm a fan of the prosciutto and arugula pie.  They usually have sports on TV's.  Not too loud.  basically, a good local place.  wish they changed the Cash-Only policy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.146515152; Sentiment_Subjectivity (from 0 to 1): 0.569708625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 atmosphere in this restaurant is amazing, especially the back room with the upstairs made it look really nice. The food was good, not amazing, definitely the highlight of this place is the atmosphere. Good for a date or for groups. I heard there was an awesome upstairs private room, although I didn't see it, but I would consider it for future events like a birthday party. Highlights for me included the lamb meatballs and the brussels sprouts.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.636363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. The food and atmosphere are brilliant. Not the cheapest, but well worth it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.566666667; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/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: one word: AMAZING. The food is great, the service is great. I LOOOOVE IT !; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. I've tried most things on the menu and have loved all of it. The drinks are always delicious as well. They play good Spanish music and it's a great atmosphere overall. It is small so make a reservation if you want to go on a weekend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.438888889; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place was a total let down, definitely over hyped. Went there with a group and half liked the food while the other half was disappointed. The chicken was nothing to rave about, was average. The worst dish was by far the gnocchi, it was the seasonal dish with spicy sausage. It was nothing special to look at, appeared as if it could have just been dumped out of a can and the taste, ugh was like a soggy sausage pizza. Because most of the gnocchi had burnt bottoms, combine that with marinara sauce and sausage equals awful. The only good dishes were the swordfish & side of potatoes. But still would not recommend, there's much better places around.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.07537478; Sentiment_Subjectivity (from 0 to 1): 0.628813933 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 travel to NYC once a year from Nebraska and had high hopes for GREAT thai this time around. Was highly disappointed with the food! We tried the chicken curry buffs and they were overrated, the chicken satay was rubbery and the shrimp pad thai was horrible. We ended up only eating a few bites and threw the rest away! Atmosphere was extremely cramped,  probably a cool "scene" for the hipsters is why it gets some good reviews.  Service was good but having eaten thai in many locations I would say this was by far the worst.  Pam Real Thai is MUCH better!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.001525735; Sentiment_Subjectivity (from 0 to 1): 0.717058824 [/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: it has a very pleasant patio. not an extensive by-the-glass offering.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.476666667; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/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 is by far my favorite restaurant to get tacos.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not only does this spot have great food, they are also open pretty late. It is my ultimate spot whenever I finish grabbing drinks. Their service is very quick. You can sit down and be out the door within a half hour if you truly wanted to.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.095679012; Sentiment_Subjectivity (from 0 to 1): 0.661728395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had an amazing meal here. The restaurant was a little tricky to locate as there was no signage and the facade looked like all the other brownstones on the block. But once inside, it feels like you've stepped into someone's house in the Spanish countryside. The decor filled with heavy dark wood tables and dimly lit candle lighting for ambiance. The hostess walked us upstairs to our table which overlooked the main dining room. The food was amazing. We started off with 4 items and told the waiter to leave us the menu to order more for later. First came the crispy brussel sprouts with apples, creme fraiche, and pistachios. If you usually don't like brussel sprouts, these will make you fall in love with them. The sprouts were slightly crispy and charred giving them a nice smoky flavor while the apple balances out its natural bitterness. Next, we had the fried goat cheese dipped with lavender infused honey. As per my friend Winnie, this dish looked like curry fishballs that you can get at a hawker stand in Hong Kong. Honey and cheese usually pairs well, but the added scent of lavender made it so much more special. The lamb meatballs were served piping hot over a tomato based sauce with a slightly cooked egg yoke. We ordered and shared 8 dishes in all and then we each got a dessert as well. For dessert I had the torija which is like a sweet bread pudding-like dessert served with ice cream and a blueberry compote. By the way, all the tapas dishes came out really fast. So fast that we think a lot of them were already premade in preparation for the Friday night dinner crowd. Alta only accepts cash and American Express. If you don't own an AMEX card, be sure to bring plenty of cash. This meal was really good, but also quite expensive.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165999278; Sentiment_Subjectivity (from 0 to 1): 0.513191438 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been to Tony's twice and I have enjoyed it both times.  Went here this past Monday and although it is family style, they now offer an individual lunch menu.  The prices are decent, especially being located right near Times Square and in the theatre district.  The restaurant has a nice decor, very comfy, Italian feel to it.  The service is very good.  The restaurant did not get a five star rating due to the fact that the red sauce honestly is not that great.  My fiance got the chicken parm which obviously had the red marinara sauce on it and it was very sweet.  My mother who is not Italian makes a much better sauce.  I got the chicken madeira and it was very good.  If you are looking for somewhere to eat lunch/dinner in NYC I definitely suggest Tony's.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.148015873; Sentiment_Subjectivity (from 0 to 1): 0.545099206 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 literally need to reserve a table for me, i'm here that much. i might not be the best person to write a review because once i find something i like, it's hard to get me to order something else... and that for me are the steak tacos and the chorizo tacos. the steak is lovely, slightly charred, but so juicy and flavorful, with cilantro and a spicy sauce on top. they even give you a lime and a little slice of radish for garnish. the chorizo taco is spicy, and a little crunchy, which i loveeeeee, and it comes with that white crumbly cheese that want to buy stock in because i love it so much. i would put it on everything! the guacamole comes with such a healthy smattering of cilantro on top, i love that as well. chips and salsa are free for the table. the salsa is very spicy and very watery, so stay away if that's not your thing. taqueria LES is my favorite pre-eats spot for times when i'm in the LES for shows at rockwood music hall (my second home). it's cheap, filling, kitschy, and my favorite place to eat out. oh, and the bartender, marco is very cute! :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.297048611; Sentiment_Subjectivity (from 0 to 1): 0.519097222 [/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: First time I came here, right away I noticed that the atmosphere is very nice. It is a very family oriented/big group type of setting. The first dish I tried is the Ropa Vieja. This was also recommended by the waiter. At first the you think the dish wouldn't fill you up because it didn't look like it was portioned the way other places might give you but trust me it was very filling. You can choose Rice and Beans as the side dishes to go with  with it. My girlfriend ordered the Chicken dish with yellow rice. The chicken was kind of dry but it went very well with the rice. We also ordered the Fish Fritters (Appetizer). The Sangria is pretty good too. Not the best Sangria I've had, but it's pretty good. Overall, I highly recommend this place. The waiters and everyone in the restaurant was very friendly and courteous. They don't keep you waiting. I been back to this restaurant several times since then.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.230861905; Sentiment_Subjectivity (from 0 to 1): 0.516028571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 passing by numerous times while under construction, we knew we had to try this vegetarian Indian restaurant.  Right when you enter, there is a natural wooden theme with soft lighting and a friendly waitress to greet you.  We walked in to find an ambience that would fall into the category of a cross between first date and small family gathering type of vibe.  As we sat there, we saw couples, friends ordering delivery-to-go, and also some random pedestrians standing outside to see what the menu had to offer.  For an appetizer, we started off with the samosa which came with cilantro chutney and a sweet sauce(not sure what it was, but it was red and good.  :(  sorry!) After reading the entire menu, I decided on the Misal Pav which the restaurant did not have at the moment.  So then I ended up getting the Mumbai Pav Bhaji, and my hubby ordered the spinach dosa. Now, for those who are interested, yet are not sure what I'm referring to...Mumbai pav bhaji is a mix of vegetables cooked in tomato gravy and served with an Indian-style burger bun buttered and toasted to yumminess.   I would say that it was full of veggies and tasted really good.  This pav was accompanied by sides of fresh cilantro, cross sectionally cut green chilies, and red onion slices.  I really liked the presentation of the meal as well.   In perusing the menu, my husband saw that the upma, which is Cream of Wheat cooked with onions and Indian herbs, which sounded kind of awesome.  We shared his dosa which came with sides of sambar(tomato spicy soup), coconut chutney, and two other ones.  The consistency of the dosa was light and fluffy and absolutely delicious.  With minimal oil, it was just perfect.  Not burnt, not overdone.  It was made just right.  It also came with spinach that had some potatoes in it.  Before ordering, he asked us if we wanted it Masala style which included this potato filling.  I was pretty happy with our visit.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.189379699; Sentiment_Subjectivity (from 0 to 1): 0.552172097 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend whom I came with said I wasn't hipster enough to spot this place from outside because it was just a fence like wall with number #77 on it. Walking in I thought I was going in a greenhouse in Philly near Fairmount park or Brooklyn botanical garden. The owners must really take care of their plants and interior. So nice and fresh in there. But it was cold. Only tried their $4.50 sandwiches, I had the ham and cheese and my friend got the scrambled eggs and they were pretty simple but really good. Iced green tea is really good as well. Overall a really nice place with amazing atmosphere and decently priced food. Service was fast and friendly too!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.21502193; Sentiment_Subjectivity (from 0 to 1): 0.588095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great authentic Japanese restaurant in a casual environment.  The manager and staff are all Japanese as well as many of the patrons.  We've become regulars ever since we discovered this place and are recognized by the staff each time we visit.  The food is consistently great.  We usually order a mix of sushi with other more authentic Japanese fare on the menu.  I have never been disappointed and the price is very reasonable for the quality.  We will continue to be frequent customers of Wajima.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.155666667; Sentiment_Subjectivity (from 0 to 1): 0.488111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spot is like a diner inside a non-descript Italian restaurant. Despite the boring interior, the brunch food was great and the service is prompt. You would be hard pressed to find as big of portions at this quality at these prices anywhere else. They also offer BOGO cocktails and pitchers of classic brunch booze. So when you find out the wait for Clinton St. Baking Company is TWO hours long, head over to Cornerstone instead and you won't be disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.140625; Sentiment_Subjectivity (from 0 to 1): 0.463541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 secret is out...  This is the real deal. Grimaldi's!  Patsy and Carol Grimaldi's masterpiece is back.  I really felt sorry for all the suckers waiting 1.5 to 2 hours to get into Grimald's next door... when We had the Margarita Pizza with half meatballs and sausage  (highly recommended) and it was damn good. Sublime balance cheese, tomato sauce and wonderful crispiness and chewiness of the crust.... simply fantastic.  Almost as good as Di Fara's Pizza Pie (my fav)...   After we pigged out on a whole Pie.  Kate insisted on getting the Brookie Bridge.  Already stuffed out of my mind I reluctantly agreed.  We devoured the chocolate and ice cream goodness.  Yum! On a side note... Only downer...  Service really was horrendous.  Our waitress was nice but was missing in action for the most part. ....  When I accidentally got pizza on my pants (argh!) we asked another waitress for napkins ... she replied: I will tell your waitress (she had some on her) we were watching her as she went by our waitress without telling her.... then when we asked the same waitress for water she said the same thing and never told our waitress.  Seriously is it that hard to help each other out?   I wanted to get up and get napkins and water myself...   Service and attitude was poor at best. Pizza was pretty amazing ... If your lucky you may meet Carol Grimaldi.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.155055556; Sentiment_Subjectivity (from 0 to 1): 0.517444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tavola is located one block from my apartment.  I have been here a couple times for pizza and appetizers with my boyfriend, but it would also be a good place for a group.  They have deep fried rice balls that are delicious.  Both times the service I have received here has just been mediocre. Overall it's a nice place to grab some pizza and wine.  I would recommend it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; 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: Salt & Fat. Just because of the name I know I will like this place. We came with 5 people so we knew we had to order a lot of dishes. The staff recommended 2 dish each and also to share and try the items. Sounds great to me. So we order about 2/3 of the menu. Oxtail - C Beet salad - A Fried Chicken B- Steak dinner B+ White tuna B+ Mussels A- scallop A- BLT Buns B- Could be better Trotter B I do not remember the 10th The local craft beers are good. I think I like Apricot Wheat and some kind of shandy. The portions are typical for Tapas style eating. I would recommend 2 1/4 dish each. Dessert was also B The bacon popcorn was very tasty. Staff friendliness was C+ at best. Smile people pretend you like working there or just find another job.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.303030303; Sentiment_Subjectivity (from 0 to 1): 0.445454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to check out Eataly for a while and finally made it over to the Flatiron district. Eataly seems to take up an entire city block on Fifth Ave between 23rd and 24th streets.  It's located right across the street from the famous Flatiron Building (I will post pictures). It's definitely a tourist attraction but also fun for locals. Its like going to Italy at Epcot center and then going to the stores that they have in each county. Eataly has everything from Italy in little stations all around the perimeter. In the middle they have pesce, sandwich stands, salumi/formaggi, produce, pastries and many other foods. There are also areas selling coffee and tea, Italian housewares, Italian travel and cook books, beer, condiments and pasta. I brought my French mother in law with me. We came at 11am but weren't ready to have lunch yet. So we had a cup of Lavazza coffee and split an olive oil flavored croissant. We enjoyed our little snack but decided we would go somewhere else for lunch. She loved Eataly as the gourmet aspect of it reminded her of France.  I also liked it because of the novelty of the idea. I thought that everything was overpriced but expected that of a tourist attraction in Manhattan. I ended up buying a bag of exquisite coffee flavored pralines, a bar of Italian dark chocolates and some Italian cookies. I also purchased a salad cookbook. My family loved the treats and they were special because you can't buy them in the local supermarket. I recommend Eataly as a place to check out while in New York. Next time I will time my visit to coincide with lunch so that I can check out the restaurants.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.16997313; Sentiment_Subjectivity (from 0 to 1): 0.422816838 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Asked for coffee 4 times. Did not get it until after finishing my breakfast and did not hear an apology. Shrimp and grits was great and it came fast.  Just really disappointed about the coffee.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.083333333; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good ol' Walter. Walter Foods. Yum yum. Nom nom. Accompanied a pal of mine to this delightful little haunt. The interior was nice, that "ol-timey speakeasy" type of decor that a lot of places in Williamsburg have. I allowed her to order whatever she wanted and we'd split it. She decided on the burger and the fried chicken, so to balance the meal out with something healthy I ordered the mozzarella salad. The salad was pretty good but for $9 it's not the best value, it's just a couple slices of tomato, 2 slices of cheese, some lettuce and some olive oil. It was nice though. The waiters kept pouring and bringing water non-stop, which I loved! I love water! The entrees took a fair amount of time to come out, maybe 20 or 25 minutes. I started with the chicken. It was moist and juicy and delicious. It came with a spicy honey dipping sauce which I did not like but I am not a honey person. She liked it. It also came with "smashed" potatoes which were totally crappy. They were missing butter and/or salt and/or just flavor in general. The burger was pretty dang good. She ordered it medium rare and it came out pink as hell. I am not really a burger person but I did appreciate the flavor goin' on here. The burger came with fries which were definitely just regular, nothing-special frozen fries, a disappointment for me. For such a fancy-ish place you'd think they would get something better than essentially McDonald's fries. For dessert we shared a fresh fruit cobbler with a scoop of ice cream. It tasted good, it was a pretty regular dessert. All in all I would say it's a nice place and there are probably some items on the menu that I would have liked better. The biggest negative of this meal, for me at least, was that about 15 minutes after we ate I felt like I was going to die from all the dang grease. I had a gut full of grease and I was not feelin' right. But hey, it's American food, and this is America, so get with it, greaseface.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.274957483; Sentiment_Subjectivity (from 0 to 1): 0.60570382 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was my first time there and loved it...the food was great...noise level slightly high but it adds to the flare; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.37; Sentiment_Subjectivity (from 0 to 1): 0.557777778 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place is so much fun -- i thought i might burst with love. it is quite small -- but oh what they do with the space they have. first of all, the staff is very kind and helpful. they have hooks under the tables so you can hang your jackets and purses there and save space! very inventive. the bathroom is super-cute -- the smallest sink ever. but they took the time to add some nice details to the decor, so that it's a tapas bar with a bit of style. everything was yum. and the energy just ebbs and flows through the open-air setup. just go and you will love it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.440625; Sentiment_Subjectivity (from 0 to 1): 0.641666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Admission plus you must pay for parking. The grounds are beautiful and the dinosaurs are amazing. Bring a sweater, it was cold! Ate at the restaurant which was ok. Overall, an interesting, informative experience. They had an extra exhibit that was extra than the admission which we decided not to do.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2125; Sentiment_Subjectivity (from 0 to 1): 0.5125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 honestly wish I had the option of leaving the rating bar empty since in my eyes it didn't even deserve one star. The only reason I chose this place was because my girlfriend is from Venezeula and wanted to surprise her by taking her there to connect back with her roots. Plus, this would be my first time trying venezulan cuisine. We went yesterday early part of the afternoon, even planned on this place being the first installment of my foodie blog but I rather not. Besides the atmosphere being welcoming too bad the waitress wasn't. She had weird energy about her that made me uncomfortable. The place was not packed but fairly empty, I expected superb service but got the complete opposite. Being that the menu is in Spanish, with little translation and description. The descriptions weren't any help, barely explaining what the dish was. I felt the waitress should have went over the menu. Clueless, I ended up ordering two of the most greasiest empanadas I had in my entire life. So greasy I felt disgusted even eating it, so I stopped half way through.. My guest ordered the arepa ,which was a very small portion. Leaving her very unsatisfied, hence her having at other places this was the smallest one she's ever had. It was very bland as well as the chicken it came with. The waitress was rude for any reason whatsoever. She wasn't attentive and constantly chatting and wrapped in her own world. After eating, I tallied up our bill and got the cash out. The waitress and bartender were anywhere to be found at this point. I placed my money on the table, the waitress comes to the table and I asked her for the check. My guest and I were putting on our belongings as she cleared the table taking my money right along with our plates. She then comes back and proceeds to give me the bill and when I go to grab the money I placed on the table that's when I realized she had taken the money. Before accusing her, I looked thru my belongings and my jacket. When my guest recalls as well the money being on the table, only leaving the waitress as the culprit who took the money. Now at this point I am furious. That was the lowest thing I have had done to me while out eating. We weren't rude or snotty with her but very pleasant I didn't deserve that. Feeling my blood boil, I paid the bill again basically. The guilty waitress, kept pestering us with fidgety body language asking if we were done. I didn't stoop down to her level, although every fiber in my body wanted to tell her off. Clearly, she needed the money more than me. I regret not saying anything, because I am still angered by it even after it being the next day. I will never eat here again. I could get past the food but customer service is a huge deal for me and I rather not eat amongst thieves.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.013348665; Sentiment_Subjectivity (from 0 to 1): 0.557074315 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was here with my family upon their urging me to give the place a try. Well my family was right the food was very good. It's like eating in a friend's mother's kitchen. The owner kept coming out of the kitchen to make sure we liked her cooking, we did. She was very hospitable as were her two sons who help her run the place. When we were finished eating the owner brought out dessert for our table, gratis, she said she did not want to throw it out as she was closing after we left. Did not want it to go to waste. We need to go back again to try more of their offerings. Went back and tried their Falafel, OUTSTANDING is all I can say. Her pickle medley inside the sandwich is what brought it over the top for me. Can't wait to go back. We have been back many times and Wafa's food never fails to disappoint. Her hummus, Babaganoush, are amazing. The meat, cheese and spinach pies should not be missed and are a great way to start your meal. If you live in the area you must give Wafa's a try. My Daughters review below is even more detailed...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.332479901; Sentiment_Subjectivity (from 0 to 1): 0.44664777 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to celebrate Mardi Gras. It was pretty busy, but it's a New Orleans restaurant on Fat Tuesday. They had a live band playing some Jazz, which was a great addition to the experience. I had the Jambalaya and my date had the catfish po boy w/ spicy mayo. The mayo was incredible, I highly recommend it. It was a fun night, and would totally do this again for Fat Tuesday.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.309191919; Sentiment_Subjectivity (from 0 to 1): 0.599393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 beyond me how this place doesn't have five stars.  I've eaten here twice and was completely blown away.  It's just one of those places that you can tell the people running things are really passionate about food and making creative, interesting dishes.  The staff is very attentive and knowledgable, the atmosphere is special and romantic, and the food is amazing.  I had an out of body experience eating the flourless chocolate cake.  Yay Good Fork!  I love you!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.402714286; Sentiment_Subjectivity (from 0 to 1): 0.692142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're vegan make sure to say "no cheese" up front. I didn't even see the guy put it on there and when it came time for the cheese that's at the end of the topping line and I said no cheese the guy gave me an attitude because he had to re-make my burrito. Like i should know that all their burritos stArt with a base layer of cheese!  Then the guy at the front of the line re-made it wrong. Still cheese. Asked if I minded if he peeled it off. Seriously?!! I walked. Sorry guys. Eaten here before but low marks for attitude!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.336805556; Sentiment_Subjectivity (from 0 to 1): 0.792592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at Traif was exactly what I hope for, a delicious retreat from the chaos of NYC.  Service was friendly, helpful, and knowledgeable.  Food was inventive without over complicating classic dishes.  Great Bloody Marys , yummy salad with Gorgonzola flakes, and infantilizing egg sliders to name a few.  I will definitely be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232407407; Sentiment_Subjectivity (from 0 to 1): 0.518518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 quite place, the food was not as I expected but i've never had colombian empanadas only Argentine's one. 1. Good empanada for the price but feels americanized -  they add egg and it is not hard boiled, like a scramble. 2. Had the cuban empanada - the flavor was not there.  I could not really taste anything cuban The best thing was the plantain chips - they rocked.  For $1.60 it was a great deal. Prices are really good Ambiance - cute, funky like it; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.339583333; Sentiment_Subjectivity (from 0 to 1): 0.579166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some friends took me here when I was visiting New York, recommending both the the food and beer selection. Not being a big fan of German food, I was a bit skeptical. Nonetheless, I was pretty surprised how much I enjoyed the Bratwurst, served on a pretzel bun, and they have a nice beer selection as well. The vibe inside of the place was pretty cool, although as seems to be the case with most bars I have been to in New York, the place was fairly dark inside. I would definitely go back again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.155194805; Sentiment_Subjectivity (from 0 to 1): 0.547077922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 black bean burger made California Style with smoked paprika mayo instead of salsa is the bomb.com The waitstaff is friendly and the service fast. I always get the fry-onion ring combo with my veggie burger when I go :)  One of these days I will try other things like a salad , milkshake or dessert but I am often full cause their portion sizes are great!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.304761905; Sentiment_Subjectivity (from 0 to 1): 0.601190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I like the setting of this place, really small and cozy inside, not to mention the giant tree in the middle of the room. I came here with a party of 8 and that definitely was a bad decision bc 2 people had to wait for another couple to leave until we had enough tables and chairs to seat us all. The food is ok, I wasn't really wowed by any of it, but I'd like to think that I am paying more for the atmosphere and a cute place to catch up with friends. Some portions are super tiny compared to others - something to keep in mind or ask about when ordering.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.067948718; Sentiment_Subjectivity (from 0 to 1): 0.552564103 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You ready to get fingered?, greeted by Paul, the super friendly and talkative owner of Sticky's Finger Joint. This place is small, yet spacious. Love the wall art decors, which reminds me of a very hip tattoo parlor of some sort. The low metallic tables and benches accompanied by red metal stools by the door seats around 10-12 people. There is a ledge on the side for those who would rather stand than sit. As you reach the counter, you'll see a red television with a snowy screen and a rubbed on sticker with the joint's name. The very sweet lady, Harriet, would take your order and she would answer any questions you have. Btw, her accent is pretty cool! Their menu is a big mirror hung high behind the counter and it is inked with a marker. After staring at the menu for quite some time, I thought I was losing my eye sight because I began seeing double images. I guess I was really hungry! But turns out if I shifted my body weight and looked at it in different angle I can see normal again - this was due to the reflection of the words. I'm telling you this is what hunger does to one! For me I will always have a love for wasabi, so when I saw wasabi chicken fingers...I am sold! Yes, I'll trade your child in for some wasabi anytime! I got the 3 piece with wasabi aioli sauce (yes I'll even trade your 2nd kid in for some of this), sticky sauce (a white bbq sauce) and chocolate chip BBQ sauce. I gotten this as a combo, which is a pretty good deal because you add $5 to your meal, you'll get a drink and a side. I chose the purple sweet potato fries with a strawberry slurp. On this foodie adventure, how can Hungry Boy not be by my side? Well for him, he got fingered alright. Yup, that's right he got the straight up finger with sunny mustard, sweet chili and the soy ginger sauces. He also made his meal a combo and gotten the Idaho Truffle Fries and a Blue Juice. Our foods were delivered to our seats by the wonderful staff. And as Yelpers, the first thing we do is major food paparazzi and making sure there was enough lighting and whatnot. Now it's time to kick back and chomp. The purple sweet potato fries were amazing! They were topped with pecan dust and coconut flakes with honey drizzled on top. This is pure genius! And this just shows how much passion the owner has for coming up with something as delicious as this! The truffle fries were crispy and very delicious too! As we were sitting there, Paul comes over and we just kept chatting away as if he's been our buddy for years! He was so sweet and awesome, that he gave us a raw slaw, which is cole slaw with chunks of avocado. He also gave us a honey mustard sauce and another sticky sauce. He was so awesome that he "glitter bang" my wasabi fingers and wasabi aioli sauce. The wasabi fingers were so crispy and fried to perfection that I think I'm in love...wait I AM in love! And adding the wasabi aioli sauce, it was indescribable...if I have a kid I'll trade it in too! Okay, maybe not my kid, but heck I'll even trade Hungry Boy in! The regular finger was really good too, but with my strong love and desire for wasabi - it would make the regular finger cry! The raw slaw was fresh and delicious and this is coming from someone who isn't really a slaw fan. I guess it does help with the avocado chunks. As for the sauces, my favorite one is...yes you guessed it, it's the wasabi aioli! The runner up for me is the sticky sauce and the sunny mustard sauce. I loved the glitter (Asian spices) so much that I had put some into the sticky sauce. The strawberry slurp was not very sweet, just the way I like it. It reminds me of a liquify strawberry slush. The blue juice was pretty good too. Also, their drinks and sauces are all organic and made from natural ingredients. Paul is such an interesting human being! It's his first time opening a restaurant and he just wants his staff to be themselves and be happy! He never been to culinary school, he just does this out of passion. He also loves robots because he actually has some robots in the back from his childhood. He took them out and started playing with them when there were these two little kids at the joint. He greeted everyone that comes in and was so generous that he hit them up with sauces and drinks. Alright, I realize the more I write, this section sounds like a dating profile for Paul haha. Except, I forgot to mention he likes long walks on the beach with his robots and a basketful of chicken fingers and sauces. I kid, but hey who knows, maybe he does like that? I am glad that I was able to stop by and check out this new joint. I heard they will have a rotating menu, which I know I'll definitely come back for more!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.255970999; Sentiment_Subjectivity (from 0 to 1): 0.497815209 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 our go-to date spot near the apartment (Valentine's day, special occasions).Sitting in the back garden in the summer is magical - fairy lights and a small bar if you need to wait for dinner. Husband and wife owners are so fun, and make some seriously good food! Menu is always interesting and everything tastes delicious. The first time we went, it was late on a Wednesday so not many people - service was still so pleasant and food perfect. Wait staff are also very engaging.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.355698413; Sentiment_Subjectivity (from 0 to 1): 0.598761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You know that a place is good when people are squeezed into the establishment at  midnight on a Wednesday morning.  Absolutely delicious! We ordered a $4 hefty slice of pizza with Parmesan cheese, spinach, and salty artichokes.  NYC is a place where your food has good to stand out in a good way to make people come back for more and this place is doing it quite well.  The pizza had just the right amount of crunch and handled all those toppings well enough to not fall apart while you ate it.  There were some other things on the menu that next time I visit I would like to try but this place has earned a spot on the list of places that I will frequent whenever I am in the city and that is impressive.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.405059524; Sentiment_Subjectivity (from 0 to 1): 0.500892857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, but since my main entree wasnt stellar, I am rounding down. Ate there on Saturday,1030pm reservation...yes, very late dinner, but that was the only time available and the restaurant was still packed. Service was exemplary. Food wise... 1. Grilled Sardines Tartine-- We'll, youve got to love sardines. I thought it was very strong in taste but overpowered our other appetizer. Kind of had to really swish the taste out of your mouth before trying a bite of something else. 2. Chicken Liver Foie Gras-- Tasted like chicken liver, but not a mixture of foie gras. Ive been on a chicken liver comparison kick and Balthazars is just 3 stars. It was definitely creamy, but it was missing a hit of specialness which I thought the foie gras would have added. VHH still has the best. 3. Duck Sherpherds Pie-- Probably the best Ive ever had. 4. Roasted Halibut-- Nothing spectacular, yet $6 more than the Shepherds Pie... 5. Strawberry Rhubarb Tart-- The best in the world!!! Clearly, Balthazar lives up to it's Bakery name. Food wise, I think it's just a scene. Pricey does not always mean yummy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211877778; Sentiment_Subjectivity (from 0 to 1): 0.586055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant, and I'm bringing my mom when I come back into town! The bartender was so friendly and the food is great! Try the classic mojito!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.456666667; Sentiment_Subjectivity (from 0 to 1): 0.443333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the decor and the way Up Thai is run. They have a nice biergarten-esque ambiance which certainly made for a perfect lunchtime get away. The staff is extremely attentive and their food is fresh and delicious. Definitely will be back to try more dishes soon!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.463928571; Sentiment_Subjectivity (from 0 to 1): 0.657142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 LOVE LOVE this place. A bit on the pricey side but the food and staff is worth it. The tofu is amazing along with everything else on their menu. Their stews could feed roughly 3 people. I came here with a friend and we were dying from the spiciness. We were in tears but we kept eating because it was delicious. I'd definitely come back again and bear through the spiciness again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.522222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: very friendly staff, my breakfast was awesome... i strongly recommend the place to everybody...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.640277778; Sentiment_Subjectivity (from 0 to 1): 0.794444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 shouldn't claim to serve "authentic" Belgian fries, because they are far from authentic.  They are also over cooked and overly greasy.  A really overrated, overpriced, and underwhelming place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really loved the food here especially the curry chicken, the meat was so tender and the taste was perfectly spicy .The service crew who took my order was very polite and friendly. This is one of the best Cambodian Restaurant I've ever tried, they serve fresh, hot, spicy and awesome food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4225; Sentiment_Subjectivity (from 0 to 1): 0.72 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: GREAT TAPAS :D Squid in ink w rice (txipirones en su tinta), lamb skewers (pinchos morunos) and the simple toasts with salsa were my faves. I also had a glass of the most delicious red wine from southern Spain - unfortunately they don't post their wine list and I can't recall the name - but I think about it all the time! Aside from the awesome food - the ambiance is nice. I'd recommend going with one other person so you can sit at the bar and get the skinny on special dishes and wines fro the very friendly bar tenders. This is a great stop if you're gallery hopping.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.413903061; Sentiment_Subjectivity (from 0 to 1): 0.639540816 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Last night's dinner was decent, but I've definitely had better there. The bacon and scallion mac 'n cheese is worth the trip alone, but my perennial favorite is the fried green tomatoes with side of lemon pepper ranch. When the tomatoes are not too thick, you're golden, literally! The kitschy décor is hipster/80s kid-friendly. They show a different classic movie on a jumbo pull-down screen every time I'm there. One of my favorite elements is the super cold water served in Ball jars. It's just tap, but with ice, a Ball jar makes it super cold and refreshing. Another starter we tried was the Disco Tots... they are crispy tater tots, covered in sawmill gravy and melted cheddar..YUM! They are not classically Southern, but they are classically Comforting... which is what this place strives to be! If you're like me, you love fried egg on a hamburger; try the Lunch Burger, it's a beef + hashbrown patty + fried egg + fixins.. can't go wrong! I've tried a couple of different menu items on each visit, and am never left disappointed. Their portions are generous, the atmosphere is chill and the servers are friendly. GO TO QUEENS COMFORT!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.06775; Sentiment_Subjectivity (from 0 to 1): 0.542333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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: - GREAT Duck Shawarma. Ordered another serving of it after trying it and took another serving take out for my mom. - Good ambiance. Noise level was average. - Average service. Wasn't annoying but had to ask for the dessert menu a total of 3 times from two different people. - Desert was solid. Had the warm date cake. Cons: - Everything that we ordered minus the duck shawarma was average and mediocre. Had the Hummus, Kebab Kerez, Lahmejeen, and fries. The food wasn't terrible, but I wouldn't rave about it either. The duck shawarma was what saved my food experience here. - The tables are really small and extremely close to one another. I don't think we were even half a feet away from the next table, granted it was really crowded that night. - The drinks are terrible. Extremely watered down and felt like I was drinking shampoo.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.112962963; Sentiment_Subjectivity (from 0 to 1): 0.555026455 [/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 is definitely my go-to spot for Soondubu!  I normally get the seafood soondubu and it is loaded with a wide variety of seafood including mussels, clams, oysters, and shrimp.  I always get the "danger" spice level, which is honestly, in my own opinion, not "OMG" spicy.  The soondubu also comes with a bowl of rice. Before your entree comes out, you get a single fried fish (pretty good) and about 5 different pickled sides (kimchi, pickled cucumber slices, seaweed, etc).  There is sometimes a wait for a table, so don't expect to get seated right away when you come here.  This place is open 24/7, which makes it perfect after those party nights!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.255844156; Sentiment_Subjectivity (from 0 to 1): 0.636363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very good surprise ! Had lunch at The Fabric, and was impressed by most dishes (lobster dumplings, salmon flatbread, califlower "steak", lollipop tree). Prices were reasonnable, so I round up a " 4.5 " to a " 5 ".; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.67 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 am fairly new to Filipino food..but have loved all the places I've tried so far (Jeepney, Maharlika, Pig and Khao)! I heard great things about this place so I decided to take my friend here for his birthday to see if it lived up to the other hotspots. The place is rather lively! There was a dj in the back playing some old school hiphop..and a ton of people at the bar for their happy hour. We checked in and got free house shots (rather weak but free, so whatever!). Their appetizers all looked so good so we decided to order a bunch of those and split an entree; we ordered: calamansi mimosas - delish but not too strong spicy pork buns - best of the night! pork was so tender and flavorful, not too fatty seasoned frites - solid fries! nice and crispy sweet apple garlic wings - the sauce was so good! didn't taste too much of the apple, though? ugly dumplings - crispy, delicious, unique! it was filled with a cheese/tomato mixture and went so well with the chimichurri sauce ! sizzling sisig - decent sisig! we had it with a side of garlic rice, mm. this wasn't the best sisig i've had though. I prefer it at Pig and Khao -- a bit saltier and fattier, which I like, haha for dessert, we had their banana spring rolls? i can't remember the menu name. perfectly crispy rolls! we were too full at that point to really enjoy them, though. overall, great hip spot for fusion-y filipino food!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.378448084; Sentiment_Subjectivity (from 0 to 1): 0.59131016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: great backyard patio.  not huge but tables are spaced out well enough. delish burger, juicy & not too bulbous.  also had a grilled cheese w/ tomato with choice of cheese.  had the cheddar, yum!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had come here a few times prior but my last visit was good! The food isn't amazing but it's good additions to happy hour. They have an extensive food menu. I came here with coworkers last week and we ordered lots of $5 frozen margaritas (an additional $2 for flavors) which are one of the happy hour specials. They obviously had specials for wine and beer other drinks as well. Lots of food ordered - mac & cheese that was okay. My coworker ordered hot dogs covered in chili which were amazing. My burger was great as well. Onion rings were delicious but fries were okay. I'm just not a huge fan of large, not so crispy fries. Also, they have a minimum 2 cards per table rule so bring cash if you're coming with friends or coworkers. It was definitely one of my better visits here. And despite the damage done to the surrounding area by Sandy, it's still standing and definitely makes the 15 minute walk to get here worth it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.329761905; Sentiment_Subjectivity (from 0 to 1): 0.540426587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch with a cousin from Italy for a quick bite last Tuesday. 3.5 stars It was a gorgeous day and wanted to sit outside, but there was a wait and we were starving. I got the tortilla soup- which was great, really flavorful. My mom got the special omelet with spinach and tomatoes, and my cousin got a burger. We split fries and the truffle mac and cheese for the table (i have to get mac and cheese wherever I go...) The mac and cheese was alright, a bit dry and the puff pastry was unnecessary (although it was a tart or something...) like i said amazing soup, the omelet was ok, the burger ok, and the fries were good. They both said the salads that came with their food was good. So just an ok experience. Oh and the lemonade was delicious. I would go back for soup and lemonade... but that's it. A good lunch spot.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.395767196; Sentiment_Subjectivity (from 0 to 1): 0.541005291 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't want to write a review.  I don't want other people to know about this place.  It's the perfect ambiance, non-pretentious, with amazing food!  Forewarning, you do have to be OK with the communal table, but this place is just amazing!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.735 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First time here with my friend who works around the area for lunch today. The waiting time for a table was like 5-10 minutes and good thing it was just the two of us. When we finally sat down at a table, we quickly looked over the menu and the price points are affordable for lunch. Food: Curry Fried Chicken Udon (my friend's order) and Fried Chicken Udon (my order) My friend really loved her choice and so did I. The broth was so delicious, the udon noodles texture was perfection, and yummy fried chicken. Definitely a must try and be sure you get there at least before the doors open at 12pm!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.087698413; Sentiment_Subjectivity (from 0 to 1): 0.690079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm certain that this little underground watering hole would average out to four stars after visiting on a weekend night when the charm of the little space is obscured by the trite throngs of the Lower East Side. However, it was five sparkly stars on a Monday night - perfect for the anti-Valentine's Valentine date I was sort of on. Nice and private, but minimal PDA from the couple couples that were in attendance. The music, presumably controlled by a living, breathing DJ tucked out of site in some mini cavern somewhere, was non-incidental; The Cure, MGMT, stuff like that. Sorry I never found out if it was cash only or not because for the first time practically ever, I was prepared with the lettuce in hand. We had our first pints of ale at 9:30 p.m. or so. The next round, I made the leap from Blue Moon to a Guinness...the one woman manning the bar was definitely in her happy place; consequently, I went all the way to the bathroom and back and the drinks still weren't ready. It doesn't take THAT long to fill a pint glass with frothy stout! In a generally good mood, I waited patiently while she talked to a young, edgy looking married couple she seemed to know well and multitasked a bit with White Russians for a party known as "the film people" seated at a table. She told me one of my beers would arbitrarily be charged at the happy hour price. When she finally brought me the drinks, she said, "They're both happy hour, because I knew that took FOREVER." Sweet! Soon, we were convinced that neat whiskey and dirty martinis were definitely the way to go, tomorrow be damned. She poured generous tumblers of whiskey and made proper martinis (meaning she chilled the glass by setting it aside with ice in it, meaning she knew that the default base when someone says "martini" is gin, and not VODKA, as some greehorns actually believe). The unexpected bonus was a huge cup of olives that she plunked down at our table, saying, "Olives. I forgot these. Here they are." It was as big as the cup that most bars keep behind the counter so they can garnish a hundred separate martini orders. The next time I went and got yet another dirty martini, I thanked her for the most lavish helping of olives I had ever received in my life. "Oh! Yeaaah, seriously, what happens in bars is that we have to use all the juice out of the jar for dirties, then the olives get dry and we end up just throwing tons of them away. So obvious, but I had never figured that out. "That's HORRIBLE!" I shrieked, eyes even watering a bit. Yeah, I was buzzed. "Do you just want like a whole PINT glass of olives?" She asked nonchalantly. Hell yes...so we picked off about three pounds of salty, pitless olives. The result? The clock moved like it was on time lapse photography and we shut the place down at 4 a.m.... No hangover the next morning - just puckered lips and an intense feeling of unquenchable thirst, not to mention a level exhaustion tormenting even the hairs on my head. This was an original experience, probably thanks mainly to the bartender (who also brought us tall ice waters without us asking right when we needed it), along with the nude paintings on the bathroom doors (though a couple dudes still utilized the facilities behind the door with the naked, breasty female on it)... To preserve this enjoyable atmosphere as the brine filled jar preserves a turgid olive, I will never bother to come here on a weekend night. Weekdays, however, will be other stories.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.063396057; Sentiment_Subjectivity (from 0 to 1): 0.539810548 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stopped by here a couple times. It's solid, and seemingly always busy. I've never grocery shopped here. The coffee's great, the sandwiches in the back are killer (I liked the porchetta). The Birreria on the 14th floor is also solid. yeah, it's all a little overpriced for what it is... but I see that as a surcharge for the nice environment.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2390625; Sentiment_Subjectivity (from 0 to 1): 0.44375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, I get it.  Noodle water can be tasty a.f.  HOWEVER, was this particular bowl of noodle and water particularly tasty?  Uhhh....  maybe?  Was it $14 tasty?  Hmm....  No?  And believe me, I'm a fan of ramen places (see my review of Jin Ramen), but this place just didn't have that ramen *magic* to me.  But then again, so many people love it!  Ugh. I'm so on the fence about this place it's unreal.  I mean, yes, it's cool that: * You get to see a dude making noodles in a glass cubicle * You get to wait in line for like 15 minutes in a small waiting area * .... But, I'm sorry Soba-ya.  I really wanted this to be a thing between us.  I wanted this to be special.  Even all of my friends love you, I just can't bring myself to do this anymore.  I think it's best if we should start seeing other people.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.226998299; Sentiment_Subjectivity (from 0 to 1): 0.539328231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Living in Hell's Kitchen, it's difficult finding places to eat in the hood that I don't get sick of, especially when I avoid Times Square at all costs, which leads me to venture to other neighborhoods due to limited choices rather than desire. But now, instead of having to trek to the East Village to eat at a Japanese izakaya, Hagi comes to the rescue! Yah, it's IN Times Square, but I can suck it up for Hagi. During the late hours most restaurants in Times Square are closed and the only people on the street are stray tourists and street vendors packing up for the night. Not Hagi! Walk down the stairs and you can hear the bustle of hurried waiters mixed with loud chatter of customers buzzed off their sake and beer. The main reason I come to Hagi is the food. I looove the fried chicken gizzards (the conservative eaters are like, eeeew but squeeze some lemon on it and you don't even KNOW); it's like popcorn chicken but chewier and more addicting. I'm big on red meat but I can't ignore the kara age, a sort of Japanese fried chicken, the best I've eaten in the city because it's chunky, garnished well, and comes out hot and crispy which separates it from other izakayas. And I have to give a HUGE shout out to the grilled yellowtail collar. For all you Asians out there missing some home cooked fish - don't deny yourself the privilege of dining on this fatty cut o'fishy. $12 Sapporo/Kirin pitchers and $20 bottles of wines (very limited selection) heeeell yes. The best part about this place is the cost compared to the quality and the environment. Unlike the spots on St. Marks, there's always a wide variety of diners ranging from a family of tourists to the lone Japanese businessman to groups in their 20's. And it's absolutely impossible to leave hungry. For $20 per person I'm stuffed every time, burping up a mix of beer and fish and chicken to Times Square's still and hushed night air.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.057621382; Sentiment_Subjectivity (from 0 to 1): 0.49361578 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely one of my favorite brunch places.  It is teeny tiny, but has so much character and fantastic food!  Plus the staff are all really trendy and cool.  Definitely worth checking out, but plan on waiting about an hour or so.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.33125; Sentiment_Subjectivity (from 0 to 1): 0.64375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went once, had a turkey / apple / brie sandwich on sour dough, yelped it a 3.5 yelp star, while my friend had a wrap and soup.  You pay at the counter and they bring the food to your table.  Beers on tap, coffee all around - a pretty good place for lunch in Chelsea.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went with my brother, his fiancée, a friend, and my wife during Restaurant Week. There were 10 mezza on the prix fixe menu, so we had one of each. They were all fantastic. I had the lamb makloubeh and thoroughly enjoyed it. Both the ashta and strawberry rhubarb cheesecake were perfect desserts.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.633333333; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great beer selection! Lots to choose from in the refrigerators in the front of the bar. Beers are priced from $8-30 based on the type and size of beer. If you are meat fan, this is the place for you. My group did a bunch of small plates, and everything was delicious. Some favorites were the pork rinds, bacon and dill potato salad, and the country pate. For those who are more veggie inclined, there are nice side selections. We sat in the back of the restaurant which is a covered outdoor area -- great for summer! Our waitstaff was extremely knowledgeable and very friendly. Overall it was a great dining experience!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.473863636; Sentiment_Subjectivity (from 0 to 1): 0.618181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bland tacos, terrible service, and little to no seating.  I was looking forward to the tacos here and I was extremely disappointed.  First of all, two tacos took over 40 minutes.  When they arrived, I was extremely disappointed to find flavorless grilled chicken with very few taco toppings (no guac!?). The fried avocado and jalapeno taco was not memorable.  It might be due to the fact that i was ravenous and would have eaten shoe leather at that point. I will seek out other places the next I visit this neighborhood...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.335763889; Sentiment_Subjectivity (from 0 to 1): 0.583055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Love Big Wong's food but over the years the food quality has gone down. It used to be locals but now it's almost all tourist there which is good but for locals the service has went down too. The waiters are more rude now and rush you to go. It's just not the same no more =( And they give smaller portions now toO =\  price is OK still. Also I don't like the name change. I like the old name Big Wong.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.049206349; Sentiment_Subjectivity (from 0 to 1): 0.421626984 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 whole in the wall vietnamese sandwich shop is a solid choice for lunch or dinner but if you're coming for dinner you best get here early, doors close at 9pm. I've tried the traditional and the short rib banh mi and while the short rib sandwich was good the traditional was far better. Definitely pair it up with a bubble tea, I'd recommend coconut or taro, and you've got food bliss. If you're looking to dine in, it's a small place so seats are limited and there's no a/c so not ideal for group lunches but if you up for a quick bite and you're near by definitely eat in. Otherwise, order via Seamless and take advantage of the lunch special banh mi + bubble tea for like $9 something (online deal only, as i learned the hard way). Staff is friendly and the delivery is usually on time, it's a great spot in the neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.134095238; Sentiment_Subjectivity (from 0 to 1): 0.498238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a hidden gem and lost among the sea of other places in this area. Excellent pastas and sauces at very affordable prices. Small place but you'll love the food here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.193055556; Sentiment_Subjectivity (from 0 to 1): 0.501388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't know how in the world people like this place. If your SOBER avoid this place at all costs. The food is.... unthinkable for consumption by all means. Lets start with the place: Went in on a Saturday night, line was not that huge. We went as 2 groups (4 in each group). Place is small, dim, and I can care less about how a place looks, I just care about the food. To speed things up, place is small, over crowded and hard to get a seat. My group(4 people) ordered 5lbs of meat. 1.5lbs of Cow cheeks (32$ per lb) and 3.5lbs of beef brisket (22$ per lb) and 2 sides of mashed something. I dont even know what the heck that mashed stuff was. All i know was it it was cold and horrendous. The cow cheeks had a nasty barn smell, i had difficulty taking it down after 2 bites. Now for the brisket...after chewing on half a brisket, I felt like I was going to die, my stomach was rumbling and my taste buds rejected every mouthful with regurgitation. But the whole group went on and ate the 3 lbs left. (YES WE LOVE MEAT AND WE ARE MONSTERS).... but in this case, we did not chew and swallow because we loved and enjoyed this meal, but to cry and hate the fact that we spent $140 on food so distasteful. I thought that there would be one hopeful, the greatness of a filler and something that could never taste bad... the bun... guess what? We couldn't even enjoy the BUNS!!! The damn buns were so cheap, i rather go get a white caste slider, remove the patty, and smear it all over my lips. All in all, horrible and regrettable day. I will never go to this place again. My experience after I got out was even worse, I kept wanting to vomit out the food I took in, I meant just horrible there. The only good thing I got from this was was the 4$ ginger ale I got to help me swallow this food... damn that ginger ale was good! Even if your drunk, avoid this place... your better off satisfying your taste buds with a street chicken and rice... not worth the money spent here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.073446637; Sentiment_Subjectivity (from 0 to 1): 0.555628655 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really don't feel that people with axes to grind over poor service should bomb a restaurant- if the food is great and service sucks I wouldn't give a 1 star. BUT.... I got there at around noon on a monday and there was a one hour wait- no big deal- i went out and took care of some errands. I got back and was seated. It was a table for two but a friend of my was local and showed up and when the host saw that I snuck in a friend he gave me THE BIGGEST STINK EYE i've ever seen. I didn't even look at him directly, out of my peripheral vision I could feel the douche bags glare. I wanted to punch him in the face. Tall guy covered in tattoo's, terribly unfriendly- you know the type. The waitress was nice although a bit inattentive- Had to track her down a few times for refills on drinks, ect. The food was pretty good. Oatmeal sucked. Salad was just greens with nothing else which was strange. BLAT (Avocado) and fries was yummy and my friends pancakes were very good.  Prices could have been better- everything was 3$ over priced. I think Portlandia used this place to model what they believed a hipster brunch enclave was all about. But on the border of Williamsburg, what do you expect? Based on the host and his nastiness, I won't be rushing back. ALSO- They play records and it's very loud, almost annoyingly so. I like the beastie boys, but I also like to talk to my friends I couldn't really do that. at Noon?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.070687831; Sentiment_Subjectivity (from 0 to 1): 0.46994709 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 come from a Pizza city and when my friend PacDADDY who is the King of Food (he was recently awarded this title by Dunkin Donuts) I was like meh...sure, why not.  The line was not too long so we got our slices of artichoke pizza.  I took a bite, and I immediately forgot about my 2 kids, my wife, and every annoying thing around me...man was this amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0625; 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: I come here for lunch every week with my coworkers, I'll admit I haven't tried that many dishes, but the ones I did try, they were absolute fantastic! I would HIGHLY RECOMMEND "preserved vegetable with pork" (mei cai kou rou) and this most amazing noodle soup called "ban-guo-tiao" (it may not be on the menu, just ask! It has noodle, pork, shrimp, squid?, anchovy, green veggie..... yum, definitely a favorite by me and many others). And the price is so reasonable! I've never had to spend more than $10 here for a meal (that's off lunch menu though, dinner might be a bit more expensive).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.32; Sentiment_Subjectivity (from 0 to 1): 0.641538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ate here a random Friday night with my girlfriend. Usually I'm very picky about Spanish food but I had no complaints We ordered the ceviche appetizer which had the right amount of spice that made it perfect as a starter the plate also had a bit of sweet potato on the side to balance out the spice . She ordered the seafood platter and I ordered the Steak but it had us taking bites from the others plates. It was sooo good! Mix that in with a great Peruvian ambiance and Joe the extremely cool mixologist who made some great pisco drinks and it made for a simple but great night out in Long Island city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.377747253; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/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: Hands down the best Malaysian/Singaporean restaurant in the NYC area. It might not be the prettiest (definitely a hole in the wall), but that's just fine, because it reminds me of SE Asia. They not only have Singapore Hokkien Mee, but they have AUTHENTIC Singapore Hokkien Mee. I mean, come on! Trust me when I say that it is quite possibly the only place in the US where you can find that dish. The Young Chow fried rice is quite authentic tasting as well, and so is the Hainanese chicken, though the chilli sauce is a tad on the sweet side. The char kway teow? Yeap, authentic. The prices at this place are quite possibly the lowest out of all similar restaurants in NYC as well. I have tried Nonya, New Malaysia, Sanur, and Malay Restaurant (please, no Fatty Crab or Laut. eeekk), and Taste Good is definitely the best and worth the journey out to Elmhurst.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.202584079; Sentiment_Subjectivity (from 0 to 1): 0.603678834 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pizza. Juliana's is a life changing experience - and everyone who we've brought here agrees. First, you have to understand the story. Juliana's is located in the original Grimaldi's building, with the original coal fired oven, and it's run by Patsy Grimaldi himself. Next door, you'll find a restaurant by the name Grimaldi's with a huge line of uninformed lemmings. Patsy Grimaldi sold this and the naming rights when he retired. For various reasons, including his frustration with the quality and management of the Grimaldi's he sold, Patsy came out of retirement to reopen the original and bring back the best New York pizza. You can find Patsy at the restaurant most days, demanding the best quality, schmoozing with his patrons, and hustling the streets in front of his restaurant. As a man in his 70's, this is definitely his passion. We've eaten at both Grimaldi's and Juliana's many times. No longer will we waste our time at Grimaldi's. While the price is a bit lower, the service is rude, the place is dirty (including the silverware and plates), and the pizza is overly greasy. It's still better than most pizza, but far below Juliana's. Juliana's pizza is fresh, crisp with the right amount of chew and texture, high quality ingredients carefully portioned, and cooked to perfection in the age old coal oven. The pizza cooks take pride and work fast and consistently to produce literally the highest quality pizza possible. In addition to pizza, Juliana's salads are fresh, crisp, and made with the same amount of care as their pizza. Homemade dressings that actually dress instead of drown the beautiful salads. The true testament to the pizza is the odd phenomena of eating about 3x what you could normally eat. This is in part due to the relatively thin crust, careful portioning of cheese, and the absolutely our of this world flavor. In short, if you want NYC pizza and have to choose one place, go here. The Brooklyn bridge park nearby will give you a great place to walk and get the best views of downtown Manhattan after you've filled your belly.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.22786927; Sentiment_Subjectivity (from 0 to 1): 0.524166283 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mostly yes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was incredibly delicious. But I was also really drunk. Pork buns so good. We asked if they had noodles. They said no.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely in my top 5 fave restaurants in NYC.  Where to begin? Bacon popcorn. Smoked bacon BLT banh mi Shredded crab pizza on scallion toasted pancake I didn't like the shredded foie gras, no texture. The fried chicken was ok. Good beer selection.  At the end of dinner, they give you these little creamsicle flavored shooters to clean the palate. Great service. Not sure you need a reservation, my group didn't make one and we were fine at 7pm on a Weds nite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.249537037; Sentiment_Subjectivity (from 0 to 1): 0.654320988 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favorite pizza place in NY. It is not just hype. It is delicious and affordable. Bring cash.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food. Amazing crepes. Good prices. My favorite French restaurant in NYC for brunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.52; 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: Just left here.  Was very good.  The quesadilla sandwich was awesome. The service was superb. Overall, great little place with good food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5278125; Sentiment_Subjectivity (from 0 to 1): 0.57875 [/INST] Not Spam</s>