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: Another Ktown staple for me.  If I happen to be walking by, but don't want the full, blown out experience of eating Korean food, I stop at Woori Jip for a quick bite.  I've never bothered with the buffet as the pre-packaged food is usually good enough.  I wouldn't exactly call it cheap - the cost of some not-so-hot and spicy chicken with a side of vegetable rice and a soda was about $10, pretty average for Midtown really. Still, it's great if you want to make a pit stop at some point during the day waltzing around 34 Street.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.23030303; Sentiment_Subjectivity (from 0 to 1): 0.581818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty good BBQ. Had the family style with 8 people, we got the poutine, extra brisket, mac and cheese, wings and some other items that I cannot recall at this point because I was so stuffed with food I'm trying to forget. The brisket was the star - everyone loved it (I liked the fattier sides), the wings were good with honey bbq and my friends who got the buffalo enjoyed theirs as well. The poutine was good, but didn't have that much meat on top. The ribs were fine, but not a must for me. I also thought the mac and cheese had a weird flavor, but liked the mashed potatoes and gravy. We had a lovely waitress (i think her name was Kenya) who was very attentive and sweet! Made our experience very nice. Overall I would come back if I was with a group so I could have a nice spread :); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.389962121; Sentiment_Subjectivity (from 0 to 1): 0.635227273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok so i thought i would have to find my way through an intricate series of boobie traps or slay a ninja or something to get to the entrance to at Bohemian but once you find the phone number its not that bad.  Once you do enter you notice a really low key but pleasant little space.  Six tables retro reclined chairs and low laying tables with a dimly lit bar and zen gardern make up the room. Went with the tasting menu and it was awoesome.  Presentations were imoressive, the opening vegetable fondue resembled a centerpiece the veggies were fresh and me being a sucker for anchovies could have drank the anchovy dipping sauce straight. Oysters were fresh and tasty as was the short rib sashimi which was second choice due to the Uni was out of season which was disappointing.  Next came the branzino with roasted vegetables simply roasted with perfectly crisp skin and perfectly cooked definatley best branzino i ever had.  Waygu Slider to finish perfectly cooked with nice bun.  Oh yea forgot to mention the cold cut plate had some amazing smoked duck breast fat melted in your mouth like butter sa-weet.  Pannacotta was also good but not mind blowing but dam i was full cant wait for the menu change to be back for some more this place rocks.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.193821839; Sentiment_Subjectivity (from 0 to 1): 0.549384236 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wish there was a "Not Cool" button for all the reviewers (albeit few in number) who gave this place less than 4 stars--- especially when those reviews base it on something so seemingly unrepresentative as the quality of one type of smoothie on the ONE occasion they happened upon this place. NOT COOL. A self-imposed Yelp commandment of mine is: Thou shalt not negatively review a place of which you only know one dish. It's simply unfair. On to the actual review... I am really glad I met you, Taim. We first met at a Truck Food Rally, shortly after I had moved to New York from California. What a welcome. Needless to say, I fell in love with New York. Though the truck is never anywhere convenient for me to patronize, I can always count on this falafel/smoothie bar to fill me up with delicious middle eastern yumminess. FOOD: Probably the most-ordered item (not just by me) on the menu is their falafel sandwich. They offer three uniquely delicious kinds of falafel that vary in spices and spiciness so try them all for yourself, but traditional (green: parsley, cilantro, mint) is my favorite. Freshly fried to perfection, these falafels are complemented by creamy hummus that should win Best Supporting Condiment in some award show, cabbage salad and tahini. Their sabich sandwich (fried eggplant and hardboiled egg) is equally delicious. The eggplant is so soft and giving that what looks like it would be messy to eat, ends up not being much of a struggle. DRINKS: At $5.50-- nearly the same price as the sandwiches---these smoothies are slightly too expensive for me to enjoy every time, but they're definitely worth the price. Deny yourself one beer next weekend to justify a smoothie :) If you don't feel like splurging for a smoothie, treat yourself to a ginger mint lemonade. This is in face my drink of choice. I am such a big fan of ginger drinks, and Taim does this very well. LOCATION: 6 bar stools and a bench outside. Nothing fancy. Take your stuff to go or wait for a seat (everyone is courteous and usually leaves promptly after devouring their food).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.149769433; Sentiment_Subjectivity (from 0 to 1): 0.514146904 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chicken with spicy mayo panini is DELICIOUS as close to the famous toasted paninis of Europe as you can get!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.458854167; Sentiment_Subjectivity (from 0 to 1): 0.983333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: oh pommes frites.  you can't go wrong with french fries.  i don't understand why they're Belgian, but i'll go with it. despite the food being belgian, it's run by a bunch of Filipinos =) going there makes me feel like i'm home again! anyway, it's a little place that only serves fries, but they have a LOT of different dipping sauces to choose from.  DELISH! i love the mango chutney and the garlic aioli as well as the pesto mayo (i actually started making pesto mayo to go on my sandwiches after being inspired by this place). great little snack when walking around the city =); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.140909091; Sentiment_Subjectivity (from 0 to 1): 0.631818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really enjoyed the sandwiches I tried.  Had the Gouda and the Gruyere.  The chef takes his time grilling them and they are super melty, crispy and flavorful.  Started with mini kinishes which were tasty and adorable. I was seated near the grill so I could watch the chef do his thing.  He also dropped our plates in front of us when our food was ready.  He was probably the friendliest person we encountered there until a pleasant waitress that wasn't serving us originally, paid more attention to us than our server who had the personality of a brick. The only problem with watching the chef was that he became a bit too helpful.  He was passing things to people, touching stuff and then putting his gloveless hands elbow deep into a vat of greens to mix the salad that he was putting on plates with no gloves.  I don't mind the no gloves if all you're handling is the food but when you're handing menus to customers while handling food because the other staff isn't doing what they're supposed to, that ruins the melty good time I was having.  Thankfully he did not directly touch our "fontina cheesecake".  It was literally a scoop of cheese with berry sauce and creal crumbles.  It's alarming to the palette at first but then you want to keep eating it. The 4 stars are for the food and the chef's friendliness but if it was based on service, it would be a 2.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.250980392; Sentiment_Subjectivity (from 0 to 1): 0.581862745 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've heard plenty of things about Momofuku over the years and in the past several months had wanted to come to Ssam Bar to compare with the other experiences so far.  Sure enough, that opportunity came. As a reminder to everyone who wants to get a table, make sure the entire party is there, otherwise you wont get seated.  They dont take reservations, so be prepared to wait either inside of the door if you have a small party, or likely is the case outside, sometimes in the cold or rain.  As often is the case, they are jammed packed to the gill, especially during peak hours and weekends. Our server was friendly, helpful and attentive.  However when the dishes came out, they were not described.  Perhaps they now assume we know what the hell we're eating most of the time?   Who doesn't like a good pork bun?  That's what David Chang's restaurants are known for (read: signature dish).  That's what we went for.  We received a plate of a half dozen for the three orders that we put in... two per order.  They looked and tasted really good.  The bread was steamed soft, and the huge chunk of pork that accompanied it, had to be partially eaten with fork before it could be handled with a hand.  I held myself back from wolfing it down so that I could enjoy the fulness of the flavor coming from the pork.  Yes, I savored it.  Hell, for $5 a pop, I bet you would too.   The lamb sausage w/rib came soon after and it came looking exactly as how I would imagine it when I ordered it-  Seasoned sliced sausage with the well-cooked rib sticking straight out with sauce on the side to complement the flavors.  My overall impression was lukewarm. Not everything on the menu is quite what people imagined once they received their dish and as always, the pork buns were the one thing people remembered most.  A good experience with good company, but the food didn't live up to hype and expectations and the other restaurants in the group.  3.5/5.0; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.159420595; Sentiment_Subjectivity (from 0 to 1): 0.493287037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: No veggie burgers, but I have to love the fact they grind their own meat AND they had an "A" in the window. So I watched the boyfriend eat 3 sliders (these were bigger than we'd both expected), and we shared the fries with cheese sauce (amazing homemade sauce!), and the delicious pecan pie ala mode ($3). They have really good beers on tap and in bottles, all for $3 happy hour 3-7. The only downside was they recharged for a soda refill, $2. And, no veggie burgers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.472222222; Sentiment_Subjectivity (from 0 to 1): 0.777777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Owned by the same guys behind L&W, so I figured I'd love it. And while it was decent overall, I just can't give it the 'love' stamp. Hubby and I visited Almond for brunch on a recent gorgeous Sunday. We were in search of outdoor seating within walking distance of our apt. Bingo! I will say, I'll likely be back here if for nothing else, the patio.  Surprisingly, we were seated with no wait. It helps that the restaurant is large. Here's what I loved: Piping hot biscuits served with butter and apricot jam, gratis. Delicious, house-made Bloody Mary's. Friendly service. Here's what I didn't love: The menu.  Sure, it was standard brunch fare, but somehow, nothing jumped out at me.  I settled for the omelette with greens and goat cheese. The food.  It's ok.  Nothing more, nothing less.  I wasn't raving about my omelette, or my husband's duck hash.  The aforementioned biscuits were definitely the tastiest thing that entered my mouth while at Almond. Overall, I'll probably be back, mostly for the outdoor patio seating with (hopefully) little wait or fuss.  If they just added unlimited biscuits as an order on the menu, I'd be back more often.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.228180804; Sentiment_Subjectivity (from 0 to 1): 0.480493552 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So delicious! I'm a carnivore and love fish sushi, but this vegan sushi is great too. The flavor combinations are awesome, spicy mango roll is my favorite.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.76; Sentiment_Subjectivity (from 0 to 1): 0.87 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was the first place I ate at after arriving in NYC.  I came about 10 minutes before opening at 11 a.m. and no one was waiting!  Then again, I was there on a Thursday afternoon.  Doors opened, and I was seated smack middle in a long table by myself.  I then realized, once more people were seated, that they do that so pairs can be seated on either side of me.  Ahhhh.  Service was really attentive and quick.   I ended up ordering the Shiromaru Hakata Classic ($14).  Most expensive bowl of ramen I've ever ordered.  The noodles were the best part of the dish - cooked to perfection.  Not quite al dente but not soggy either - and somewhat thin!  Soup base was good, but I'm not sure it was better than Daikokuya's or Santouka's, etc. in LA.  Pork was not melt-in-your-mouth either.   However, was I glad that I got the pork buns ($9).  These are not your standard pork buns! They have a funny little note on the menu saying that you can't take anything to go or for takeout!  I had wanted to take one pork bun back w/ me so my friends could try it (not to mention that one bowl of ramen and one pork bun was more than enough food for me), but instead, I had to eat both of them.  The pork belly was flavored really well, though I"m not sure how I felt about the small glob of mayonnaise located near the back of the bun.  The buns were also sooo soft.  Much softer than anything I've had in any Chinatown.  Mm... My total was close to $30 w/ tip and tax - pretty crazy for ramen in my opinion.  I can get good ramen in LA, thank goodness. However, those pork buns are what I'll miss.  If anyone knows of a place in CA similar to the pork buns at Ippudo, please let me know!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.111121324; Sentiment_Subjectivity (from 0 to 1): 0.521405229 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: sliders, i dont eat often prefer a burger. taste was alright, not bad but not one of the best i tried. small place. dont know if their meat is organic. not much variation. good place to stop by to grab something quick. i should have told them no onions since i dont like fried or steamed. also didnt ask how i want it cooked.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338888889; Sentiment_Subjectivity (from 0 to 1): 0.444444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Favorites: fried chick peas, fried peppers, and the salad with fried artichokes. This is a very hip, young place, but they take reservations, and they were perfectly nice to us both times we went with kids.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3; 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: For the price and the obvious crowd, I really expected better.  When my friend and I arrived, the hostess asked if we had a reservation.  When we responded no, she told us that the only spot available was in the back.  The problem wasn't what she said, but how she said it - her tone came off as being annoyed, like "can't you see that I'm busy with people who ACTUALLY made reservations?!" Their happy hour specials, in my opinion, should be their regular prices.  The guacamole was good, with tortilla chips that look like they were made in house.  However, after I continued to eat it, all I could taste was heat (and I LOVE spicy food) and no flavor.  For my entree (more like tapas) I ordered the fish tacos.  Now I don't particularly like tilapia, but the jicama slaw and chile de arbol salsa sounded amazing.   After receiving my order, I was disappointed.  The tacos were small, I mean the lemon wedge on my plate looked bigger, lol.  In terms of flavor, nothing really wowed me.  The salsa, which was more of a sauce, was the best part of the dish.  The fish lacked seasoning, and the jicama slaw did not have the crisp freshness that I was looking for.  In other words, $8 for some over-hyped tacos. From what I noticed, the staff seems to give priority to those who are drinking.  However, they are quick to refilling your drinking water. I would possibly consider coming here again, but only for drinks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.186637931; Sentiment_Subjectivity (from 0 to 1): 0.528945623 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been two years since I moved from New York to Houston, and I can honestly say that I would give my left ovary to have Taim in walking distance from me again. Needless to say, this place is most definitely worth the hype. Like everyone else's praises that have been sung, the stand-out star of this place is the falafels. Never having had a falafel before coming here, one bite of that succulent sandwich is all it took for me to declare the falafel my Lord Jesus and Savior. Well, not really, but it was definitely a religious experience. First off, everything here is made from scratch. Even though I've never confirmed that, my taste buds have. Everything that goes into their falafel sandwich is so expertly crafted, and beautifully melded together. Their pita is doughy yet fluffy, the falafels have an ever so delicate crisp on the outside, yet are surprisingly moist in the middle, and their hummus is some of the most smooth and creamy hummus you'll ever have. All of that paired with their refreshing cucumber based israeli salad, and pickled cabbage is what dreams are made of. All in all, this is probably the best sandwich I've ever had, which is confirmed by the puddle of drool that is developing on my keyboard as I write this review. Take heed though, this isn't a sit down restaurant, but more of a grab and go type of place. But don't expect to wait too long for your food, because the guys who work behind the assembly line are like a well oiled machine. If you're trying this for the first time though, my suggestion is to eat it as soon as you get it. Also, whatever you do, don't you dare let anyone talk you into sharing. I've lost a lot of friendships because of this, but really who needs friends when you can have falafels.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.193957431; Sentiment_Subjectivity (from 0 to 1): 0.490241703 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a rainy saturday afternoon for brunch. My only bone to pick is with the lack of drink specials. Otherwise, the service was excellent! Ordered the roast pork with mojo, black beans(which tasted like the ones my mom makes- not from a goya or progresso can!), avocado and sunny side up eggs (you can get the eggs however you fancy them). Banging! The Yucca Fries are a must have! Full of flavor. They also had a really nice rotation of chill music playing as we munched down. Cubana Social is very on point!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.219032118; Sentiment_Subjectivity (from 0 to 1): 0.579861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wish they'd always have the black pepper pasta.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sliders at mark are incredible. I've been here a number of times and they never disappoint. Its great to sit at the bar and watch them cook, order a few beers or a milkshake and hang out. The fries here aren't anything special honestly, and they don't have an elaborate menu. But you come here for the sliders and no place else does them like Mark.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.492857143; Sentiment_Subjectivity (from 0 to 1): 0.703571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We came here a little while back and it was a great experience. The proprietor came out to our table and greeted us. He recommended the meal and the drinks that paired the meal. It was perfect overall and I look forward to coming back. It's tucked away beside the Barclays center. Tu Tu Bene... (Very very good); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3028125; Sentiment_Subjectivity (from 0 to 1): 0.39125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The (pork and crab) soup dumplings are hands down the best in New York.  Despite the fact that I go to Joe's about once a month, I've only had a few dishes besides the soup dumplings (I just can't get enough of them).  Atmosphere and service are standard relative to other Chinatown restaurants.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.072867565; Sentiment_Subjectivity (from 0 to 1): 0.335381594 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Chicken and waffles.....I adore chicken and waffles. Sweet potato Cheesecake.......definitely a fan of sweet potatoes, but not a fan of cheesecake.  Put them together and you have the best cheesecake since the Factory (so I've heard) at Napoleon's, and a new fan of cheesecake (don't tell anybody). Uncle Nay and his wife are fixin' to serve up some southern goodness in the Stuy.  My coworker drove by that morning and we immediately went for lunch.  The lunch specials are off the hook , ranging from honey bbq wings, fried whiting, 1/4 roast or fried chicken, 2 waffles and 2 wings and include a delicious side/fries with lemonade/half & half/bottled water for $5.50.  Breakfast, lunch and dinner are served here and I can't wait for you to see the dinner menu.  I peeked and saw honey bbq turkey wings and honey bbq shrimp.......be still my heart.   Last but not least, I must talk about the homemade desserts that Unc is serving up in here.  Red Velvet cheesecake, banana pudding, coconut pineapple cake and......drum roll please.........ice cream and cake in a cup topped with waflles crunches!   With a 3 table restaurant, Uncle Nay is giving you a taste of the South, simple, succulent and certainly worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.106168831; Sentiment_Subjectivity (from 0 to 1): 0.487739641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 normally shy away from Williamsburg for Sunday brunch, but based on a tip "no hipsters each brunch before noon" we arrived at Rye at 11 am for brunchies. Bottom line: YUM. We started with their homemade "donuts" (more like donut holes). Crispy on the outside, tender and spicy on the inside, I wish we'd saved these for dessert. They were served with a side of whip cream, which I thought didn't add anything, but... *shrug*. We also had a duck rillette. Kind of a duck pate, and some "sourdough." I say "sourdough" because sorry, as much as we might try, proper sourdough cannot be made outside of San Francisco. But the rillette was quite tasty as well. For my entree, I tried the Meatloaf Sandwich I'd heard so many raves about. And it was worth it. A combination of duck, veal, and beef, it was rich and delicious. I am STILL FULL 8 hours later it was so good. One thing: too much bread. The meatloaf PLUS the giant roll is too much. It would be excellent as an open-face sandwich or heck, ALONE on a plate, with some fried onions on top. It is seriously solid enough to stand alone. While some have complained about the service, ours was great. The waitress was attentive, and our water and coffee were constantly being topped off. The decor is very turn of the century (whether it's real or just made to look that way I'm not sure...) with tin ceilings, old wood floors, old silver used everywhere (mismatched cutlery, old coffee urns, and the check plate). All in all we were very pleased with our brunch. We lingered till around 12:30 pm, when all the hipsters started trickling in.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.471885522 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Empanada Mama is so good for a tasty meal last minute. Service can be sketchy and it is difficult to get attention at times, but the food is solid and very enjoyable. Sometimes it is a little dry, and the fillings could be more generous, but I am very fond of empanadas, and when I don't feel like making them myself I'll find myself here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.143981481; Sentiment_Subjectivity (from 0 to 1): 0.494074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lived up to the hype Worth the wait So cheap Want some more Cant wait to go back I Love NEW YORK; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306060606; Sentiment_Subjectivity (from 0 to 1): 0.392424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Skytown is one of my favorite local spots, especially for a lazy weekend afternoons with my laptop. The Sky bowl with egg on top of it is a great, healthy breakfast.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.292857143; Sentiment_Subjectivity (from 0 to 1): 0.678571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome place to grab food while working a late night... always make me feel more upbeat. The chicken and rice with white sauce is the bomb!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.12; Sentiment_Subjectivity (from 0 to 1): 0.61 [/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: Do you honestly need more convincing? Do you? Get the off-menu pizza, the Beesting. It's spicy only if you get the meat on it- which I am a vegetarian so I did not. Honey on a pizza? Please. This is what makes Roberta's so amazing. ITS SO GOOD.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.816666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nosh. menu changes every day depending on what's fresh and locally available. two princes of men manning the small kitchen, roasting chicken breasts and fresh turkey, whipping up salads, baking cookies and deserts. i think most of what they do is actually in catering, so the restaurant isnt necessarily the full monty, kind of a whole in the wall, you'll walk right past it if you're not careful. not terribly glamorous, and kind of on the expensivish side for lunch, like ten twelve bucks with a drink, tips seem kind of optional. but if you have the time, definitely worth sitting down, the sandwiches, which typically come with a small salad and a cookie or two for desert, are unbelievably good. fresh bread pops, fresh and tasty ingredients inside, good deal, man, good deal. plus its gonna be cold soon, soup will be back on the menu,  yum. ok, its not the greatest location, so if you're looking to be seen you might want to make your way over to broadway or a little further downtown. if you care about that kind of thing, this is probably not the place for you. but, if you're in the neighborhood, like up at columbia, for example, and  looking for a change of pace for a good lunch, this is a GREAT place to sit and have a bite.  to repeat, the quality and freshness of the food is typically exceptional. two thumbs up. way up.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.268227861; Sentiment_Subjectivity (from 0 to 1): 0.584857978 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: so good -  top notch drinks and coffee, chill environment, nice staff. my fav spot for brunch and drinks in the hood; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; 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: Location is great and the decor is cool but unoriginal. Service is great but the wait took 2x longer than the hostess said it would.  Food was good and great value.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.541666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small portions + pricey food = unhappy & unsatisfied me Our party of 7 was lucky enough to get a table when we walked in around 6 PM on a Sunday. We were seated immediately near the back away from the two guys performing some sort of act in the front of the restaurant. It just looked like a complicated way to cook and serve food. We ordered mainly from the "special" menu. Pressed mackerel sushi Tempura eel Gyu tataki Tamago Taro Enoki Eggplant 2 different types of whole fish Salmon & salmon roe kamameshi The server told us what we ordered would be enough for 7 of us. Booooooy was she WRONG! Even though we knew the portions at Japanese restaurants are typically on the smaller end, we were all shocked at how little food there was on each plate. Each item was also served separately. I understand that they want you to eat one thing at a time so you can savor it, but they might want to reconsider their method for bigger groups.....or just tell us to order more food because we would've!!!!!!! The men in our group were still hungry after dinner so we went over to Xi'an Noodles. With that said, the food was of good quality and flavor. Servers were very courteous and had great recommendations on what to order, not how much to order. The atmosphere was also nice, very Japanese. We also ordered a bottle of cold sake (Dewazakura Oka - under the "pair with vegetable" section). It was sweet, light, easy to drink. Good for groups: NO. It's better if you come with 2-3 other people.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.117160895; Sentiment_Subjectivity (from 0 to 1): 0.571103896 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 family celebrates Boxing Day every year at Gyu Kaku.  We usually go to the one downtown but wanted to try the one in Times Square.  We walked in and were immediately greeted by a great host who took our coats and settled us into our table.  5 minutes later we realized my mom's phone was left up front and someone stole it!   The staff couldn't not of gone out of their way to help us more!  They reviewed the surveillance cameras and everything.  Well we never got the phone back but the food/staff/drinks were great!!! we will definitely be going back!! Great job Gyu Kaku and thanks again for making our holiday great-AGAIN!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.305965909; Sentiment_Subjectivity (from 0 to 1): 0.336363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had the whole menu shared between four people. Standouts for me were the fois gras, the carrot salad, and the duck. It was just really really great. Laid back atmosphere, delicious food, great and reasonably priced wine list. We'll be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.428571429; 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: OH my gosh- I am obsessed with this place and think about it on the opposite coast all of the time! The corn is good but what is even better is the mozzerella, chorizo quesadilla thing (can't remember the actual name but it is an appetizer)- so amazing! And then the shredded pork with the black beans and yellow rice with squeezed lime is incredible! And the Cuban sandwich. sooooooooooo goooooood. I want it now. There is frequently a wait so try to not go during the rush. It is worth it, though.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.243939394; Sentiment_Subjectivity (from 0 to 1): 0.439393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After a stop in a different part of Brooklyn, a friend suggested Rose Water for Saturday Brunch.  It was a little bit of a walk to Park Slope, but well worth it. The place is very small, couldn't seat more than 40-45 people, and there was a line.  No surprise here.  Once we were seated, we were in the outdoors area that was covered over with a canopy, heat lamps and a blanket on each chair.  The food here is all organic and locally sourced, so you know where your food is coming from.  For brunch, they offer a nice $14 deal of a drink (non-alcoholic) and an entree for $14.  Great deal, as places in Manhattan charge more than $14 for one thing. I opted for the cold spiced cider to drink.  It was muggy and full of flavor.  Just take the average store cider, add more apple goodness, cloves and cinnamon and you have this drink.  For entree i picked the Roasted Pork Sandwich with cheddar cheese, apple, pickled cabbage on a brioche bun.  The pork was tender and pork plus apples means delicious, so you know they got that combo spot on.  The bread was fresh and it was served with fries of course, pimenton spiced fries to be exact. My wife ordered the pear ginger juice, which i didn't care for, but she enjoyed and the baked polenta cake with goat cheese, brussels sprouts, poached eggs, toast and Moroccan spice sauce.  This dish was even better than mine, as the polenta cake was crispy on the outside and warm and gooey on the inside.  The brussels sprouts were gone in a flash and amazing. I would highly highly recommend this place, but it clearly is already extremely popular, so... Go back; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.255462963; Sentiment_Subjectivity (from 0 to 1): 0.555308642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Basso 56 is on a side street off of 6th ave in NYC, it's fairly new as I leaned from the owner as they used to be closer to downtown. I was able to get in at 8pm on a Thursday without reservations. The food was great, I had a seafood risotto, which was the special that night, and it was very tasty. The service was ok, but you get what you pay for there. I would recommend the place if you are looking for an easy night out on a less formal night. Good vibe and drinks too. There's a small bar, but it's not one you'd hang out in.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321017316; Sentiment_Subjectivity (from 0 to 1): 0.510097403 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolutely love Danny meyers and all of the shake shacks! Shack burgers are scrumptious - made w brisket it's just completely incredible! Get your pet a poochini they will love ya for it ;-) The Arnold palmers are delish and the hot dogs are super gourmet as well ... Yummy!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.546006944; Sentiment_Subjectivity (from 0 to 1): 0.769444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on the money thus far...we started off with a bar items which were delicious ( 11 layer potato, eggplant, and artichoke heart ). They are tiny, so it's a small bite per person but definitely worth a try. For apps we had the shrimp, roasted octopus, scrambled eggs, and tortiglioni.  Octopus was cooked very well and I could have made an entire meal out of the scrambled eggs w/ toast if I didn't care to taste the entrees ( highly recommend ). For entree, we shared the pork chop, halibut, kale & mushroom paella, and the charred beef.  Favorites were the pork chop and the paella ( website currently features the paella as background pic ). The halibut was cooked well but I didn't care much for the sauce. Definitely get the cauliflower as a side vegetable, as it delivers a nice touch of heat with the peppers. All in all, a great meal, solid service and a very cool vibe.  Will be back at some point.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.231; Sentiment_Subjectivity (from 0 to 1): 0.484 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Exceptional BBQ and perhaps the best in the city. though I haven't been to Fette Sau in a while or to Might Quinn's.  At this time I can't imagine better BBQ, only equivalent. Con: expensive, that's it What to get: #Beef rib: good reviews beget good reviews. I will propagate what all the other reviews are saying. get the beef ribs, its the highlight of hometown. Of note ONE RIB = 1.5 lbs @25$/lb.  You do the math, its kind of like paying for a nice ribeye, but so so so worth it.  Dry rub in your mouth goodness. I came with a group of friends and shared all of our meats and sides #Brisket #Pull pork #Pork belly #Lamb belly All the meats were exceptionally moist, inspired flavors.  The one note as mentioned in other reviews that the lamb belly is love it or hate it.  Its quite gamey and is not for everyone.  An interesting and unique taste.  For me I like the traditional meats better, but you have to try to decide. #Side: Coleslaw Mac and cheese Potato salad Pickles Collard greens ****Baked beans with burnt ends**** All the sides were decent, accompanied the meat well, but the standout was the beans without a doubt.  Hint of spicy, bursting flavors, smoky burnt ends, these are top notch.   Haven't tried the chicken or siracha wings, but I'll save that for next time. OVERALL: best of the best if not the best. but $$$; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.323511905; Sentiment_Subjectivity (from 0 to 1): 0.582738095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How Bo Ky is rated 4 stars, I don't know... It's run by Chinese people that don't know anything about Vietnamese food.... Fail #1: Ordered Pho Tai and all the meat was cooked right through. Fail #2: I try to order Bun Bo Hue and they don't know what it is Fail #3: The Pho broth tastes like wonton noodle soup broth.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.242857143; Sentiment_Subjectivity (from 0 to 1): 0.287142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best bacon cheeseburger I've ever had. I got it without the bun. Not a carb fan. Am a huge Little Owl fan. Also tried my lunch partner's softshelled crab. Yum. I live far away, and will return to LO every time I visit NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.289772727; 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: I've been wanting to go to Penelope for about two years now and finally got the chance to get brunch there last week. The wait is usually horrendous, but I was able to put my name down, go to the gym, and then come back 1.5 hours later and not have to wait. I ordered the Nutella French Toast -- highly recommended! Then again, how can you go wrong w/ Nutella? My cousin ordered the Penny Egg Sandwich on a croissant, which I thought was also very tasty (hint: the pesto is the highlight). If you don't mind waiting 1+ hours or if you have somewhere in the neighborhood where you can kill time, I would definitely recommend this place! -L.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.000462963; Sentiment_Subjectivity (from 0 to 1): 0.372546296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in around 1:30 pm or so on a Wednesday afternoon.  They were opening a bit later due to repairs and renovations, but they let me ask them questions and peruse the menu.  I am really psyched when it comes to Filipino cuisine, especially when everything is freshly prepared.  My friend and I came armed with empty bellies and large smiles.  The manager spoke to us about each meal and how it was made.  We decided on the tilapia, these delicious pork roll appetizer, and also the crab in coconut sauce.  Hmmm...hmmm good!   Now judging from the outside, you may not see it as a restaurant..it is really tucked in there on Woodside Avenue. The waiter even invited us for karaoke which was fun.  It is an awesome place, but for the love of bacon, bring cash, or else you have to trek all the way to Astoria Savings or Chase bank to secure money from an ATM.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.317619048; Sentiment_Subjectivity (from 0 to 1): 0.483571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 food and cheap - my two favorite things.  And a great New York diner experience. Total hole in the wall so be forewarned.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.422727273; Sentiment_Subjectivity (from 0 to 1): 0.709090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Boubouki is a smart concept and its implementation is excellent. It brings exquisite Greek delicacies to the LES that you would only be able to taste at a sit-down expensive Greek restaurant at a much higher price. The spanakopita is tasty and filling, the alevropita has an addicting flavor of feta cheese and olive oil and the desserts are of the highest standards and taste completely home-made. The space is small but looks like a home kitchen. But that's why the prices are so fair, so the value is excellent. Rona is a sweet girl and very polite too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.304285714; Sentiment_Subjectivity (from 0 to 1): 0.607857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reviews are dead-on and well-deserved. The burger is unbelievable - especially for how simple it is. Well worth the praise. Also had a kale, sunchoke, lentil medley that was awe inspiring. Highly recommend visiting Lot 2. Outstanding service and atmosphere too.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172857143; Sentiment_Subjectivity (from 0 to 1): 0.696020408 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pinto has a great weekday lunch special, which drew me (along with generally good Yelp reviews, of course!) one day when I was in the area and HUNGRY. The special is $8 for salad, an appetizer of your choice and entree of your choice appetizer and entree. The selection is limited, but there is a reasonably range of options that anyone should be able to find something they like. The basil dish (with chicken) was good. The portions are sized for lunch, and were just right. As an added bonus, they serve free range chicken, grass-beef and organic tofu (if you're into that sort of thing) for a clearer conscious with your meal. Best part, as many others have mentioned, is the Thai iced tea. You "assemble" it yourself, starting with a glass of ice..and by ice I mean frozen cubes of tea! Nothing to water your drink down here! You then pour in tea from a small carafe and add cream and simple syrup to taste. Perfect!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236595333; Sentiment_Subjectivity (from 0 to 1): 0.563331444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Eataly with fairly high expectations. I thought this establishment would be highly styled and appointed with the latest and greatest fixtures and furnishings. A modern, yet reflective Italian gourmet food, drink and general goods store if you will. I was quite disappointed on this. Although Eataly is a fairly large "store", it is underwhelming as it relates to stature and showcase. Although there are several lines of products, they are packed like sardines in each of their respective aisles. That being said, I would like to give them a particular top grade for their coffee section as it is truly unique and nicely presented. The restaurant area has plenty to choose from. However, please keep in mind that these are not restaurants as you would likely envision. These are "bar style" restaurants with casual service and reasonable pricing. This is part of the Eataly charm, but may not be totally expected by first time visitors. The pasta eatery was interesting with a range of pastas and side dishes. The pasta dish I chose, penne, was fresh and cooked perfectly. A nice portion for the price. The breads were horrible and the olive oil presented was of lower grade. The service was lax and didn't seem to care about the customer. Perhaps this is the bar style orientation, but my server was so lax he forgot to re-fill my water. Also, they made a few mistakes on the order and didn't really apologize. Although I can't call this a restaurant, it is a nice grocery store with a plethora of food choices for a wonderful "snack" Eataly is A-OK in my book. Good luck and enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.207531746; Sentiment_Subjectivity (from 0 to 1): 0.583063492 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little restaurant in Hells kitchen area with huge selection of empanadas. Price is low. Also have fresh chips and salsa, beer, and sangria. Dessert empanadas too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0675; Sentiment_Subjectivity (from 0 to 1): 0.52 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There are so many "good" pizza places in New York City that this place is nothing special. Long wait, you pay $15 for small fancy pizza, communal tables... Eh! Is that worth it to you?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233000928; Sentiment_Subjectivity (from 0 to 1): 0.432282004 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: probably the best if not the #2 best restaurant in chinatown.  the sew lop is really impeccable, no matter what people tell you.  big wing wong is just as good, so if it gets too busy, just go there; Max_Daily_Reviews: 18; Sentiment_Polarity (from -1 to 1): 0.591666667; Sentiment_Subjectivity (from 0 to 1): 0.391666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was amazing!! Wished the place was a bigger so you could comfortably breathe. The corn is amazing and no other restaurant has had an item that beats the baja style fish tacos! Service was okay; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.419270833; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/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: Pates and Traditions is an incredibly cute and cozy little restaurant, decorated with so many postcards and photos on the wall that you feel like you're sitting in someone's living room or sun room. My three friends and I arrived at around 6:30pm on a Sunday evening and luckily, with no reservation, were seated right away. I decided to go with La Paysanne for my entree, an open face crepe filled with potatoes, cream, onions, bacon, swiss cheese, and garnished with chives. The crepe tasted predominantly like bacon, but everything was incredibly creamy and overall delicious - something I would order again in a heartbeat! For dessert, one of my friends and I split a profiterole crepe. It was drizzled with chocolate sauce and almonds, and came with vanilla ice cream and some poofs of whipped cream on the side. While it was a decent dessert, I thought it was a bit too doughy and it definitely paled in comparison to the savory crepe I'd just eaten. The service was a bit slow at times (we had to wait a while for both our entrees and the bill), but the servers were extremely friendly. My friend accidentally knocked her knife off the table as she was sitting down, and within seconds a server came over to give her a new knife, saying "it sounded like something fell." They were all smiles the whole time we were there, definitely adding to the charm of the restaurant. I will definitely be back to try their other crepes!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.180846303; Sentiment_Subjectivity (from 0 to 1): 0.547816601 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So cute, so cool, so low key, yet so hip!!  Perfect little breakfast/brunch spot in Chelsea.  Big menu, lots of options!  Self service place so you enter, order your food, they reserve your table for you by putting a patterned handkerchief on the table.  Such a nice touch.  You get your number, and sit.  Then they'll bring you your food.  But everything else is self serve.  Almost had a having breakfast at someone's home kind of feel.  The food was good! The people were awesome!  Love this place!! Come early though... weekends tend to fill up and then the wait may be longer.  We got here at about 9:30 on a Sat morning and were able to get right in!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.404743304; Sentiment_Subjectivity (from 0 to 1): 0.663169643 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Be prepared to wait in line. I ate here two years ago and walked right in and was seated at the bar. During my last visit I had to wait for over an hour. I didn't particularly like the attitude of the host. While waiting we saw several people who were behind us get seated. But, that said, the griddle items on this menu are to die for. This weekend I tried the brioche french toast with caramelized bananas. The maple butter really made this dish sing. I'm a big fan of the pancakes as well. The portions are delicious and substantial and I always leave feeling full and happy. I'll be back again, even if I have to wait in line.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.200198413; Sentiment_Subjectivity (from 0 to 1): 0.373809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was great.  Everything from the apps to the entrees to the dessert was good.  Staff was very friendly and accomadated us even when we were late for our reservation.  Great experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4975; Sentiment_Subjectivity (from 0 to 1): 0.67 [/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: After hearing all the hype about the place, I decided to check it out with some friends for lunch.  Their lunch menu is sadly limited to only a few dishes.  Since my friends and I fall under the "desperately poor college students" category, we decided to split everything.  We got one lunch special (Papaya salad, some kind of soup whose name escapes me, and green curry), vegetarian crispy watercress salad, and a self serving noodle dish that had fish balls in the sauce.   The papaya salad is a must!  Its very refreshing.  Only a fool would choose to not try it.  The soup was ok.  It was pretty salty so I didn't really like it.  Then again, alot of asian soups tend to be salty.   The vegetarian crispy watercress salad with its mix of mushrooms and tofu was pretty good. It wasn't greasy yet still crispy enough to make that glorious "crunch" sound.   The noodle dish had a peculiar taste...I think its more of an acquired taste really.   The green curry was my favorite out of everything that we ordered.  We had it in medium spicy and it was spicy enough for me to enjoy and yet not spicy to the point where my dear friend would suffer from an ulcer.   We also got the pumpkin custard which was ok.  Nothing eye-popping. Overall bill was not bad.  I believe it came out to only $12/14 p/person and our stomachs were happily content.  Oh and the service at lunch time was a breeze, they have a pretty decent vegetarian menu so both meat lovers and veggie fans can eat at the same table without feeling guilty, and our waitress was nice enough to not throw the camera/barf in our faces when asked her to take a picture of us as we giggled and posed like 12 year olds on a sugar high.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.191782313; Sentiment_Subjectivity (from 0 to 1): 0.594646259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jane provides American Bistro classics that come with plenty of taste. I dined at Jane last night and had a marvelous meal. The space on W. Houston is stylish with a small bar area. I sat in the front section along the windows that had heat vents working well so we wouldn't freeze due to the temperature outside. The bread basket comes with just enough Rosemary Foccacia and Spicy Flat bread for your table. It's with a purpose so you don't load up on these freebies and miss out on the well sized portions that are coming up. I had the Roasted Beets Salad with Goat Cheese, Frisee and chopped smoked bacon. The flavors melded into perfection with the sweet beets having the perfect foils of the salty smokey bacon, tangy goat cheese and peppery frisee. It was also tossed with just the right amount of vinaigrette as to ensure it wasn't over powering but simply melding the flavors.  The salad was reasonable priced at $9. Jane for dinner offers a different dinner special each day of the week. These specials are normally priced for just under $20. The most expensive dish for dinner ranges about $27 dollars for the Fillet and Frites. I chose the daily special of Roast Suckling Pig for $18. The dish came with tender juicy slow roasted pork, atop tangy goat cheese whipped potatoes along side sweet caramelized Brussel Sprouts and Parsnips. The dish was comfort food heaven with the portions being  generous. My dining companion had the double cut Pork Chop ($19) that was juicy. It came with an Onion Marmalade that helped bring out the sweet flavors of the cut. We shared a side of the Spicy Garlic Broccoli that lived up to its name (be sure to have wine or water ready). At the end of the meal I was too full to try the sweet endings offered at Jane. The Donut Holes and Milk & Cookies both caught my eyes but alas my belly was too full from the meal. The service was excellent as our 7:30 dinner reservation allowed us to leisurely dine to 9. So if you're in the West Village check out Jane, she shouldn't leave you disappointed.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165714286; Sentiment_Subjectivity (from 0 to 1): 0.524036281 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 agree that the food here is good, but everybody needs to calm down - this burger seriously isn't the greatest thing ever as some people claim it to be. Also, those shoestring fries are absolutely worthless. I almost felt like this was 3-star worthy, but that was mostly because of the slight let down feeling I had after reading endlessly about this burger on every list of best burgers ever and seeing all of the rave reviews about the restaurant everywhere you look. But the food here is actually really good. Except for those silly shoestring fries (sorry, I just really don't get those). With the reputation preceding this place, I thought I was slick going on a Monday to avoid the crowds and the long waits, but no such luck. Well, we actually got there at a little before 1 PM, and had to wait about 25 minutes for a table, which I guess could have been a lot worse if we went during the weekend. Actually, toward the end of our wait, we already heard the host quoting 45 minutes to an hour wait times even for parties of two. Insane. It's a very hip atmosphere. The stools in place of proper chairs for all the seating is always a dead giveaway for that. My wife likes a back to her seat when she eats, so she was pleased when we were led to our table on the second floor in a cozy little area of the restaurant where there are some benches for same-side table seating against the walls. The entire place also has a nice fun motif of pig decorations everywhere, from nice pig paintings to little pig signs on the bathrooms. The place happens to pull off a kitschy vibe while also being classy/hipster at the same time. So if you come here and don't order the burger, you are a failure. To start, it also seems like the other thing people can't stop whining about is the Deviled Egg ($4). This was OK I guess. Mad oily, and nothing mind-blowing (yelp.com/biz_photos/the-…). We also got the Chicken Liver Toast ($6). This was also extremely rich and heavy, but was delicious. Now, the burger. It's a really thick, sizable patty which is great. The roll is nice and thick and tasty, which is great, and very important so it can soak up all that juice from the meat and not get soggy. The Roquefort cheese didn't really do it for me. It was a little too funky. That little bit aside though, I do concur that this is a very excellent burger. But its not as transcendent as all of these other chefs and food bloggers would lead you to believe. The shoestrings fries are a real waste of time and stomach space. Aside from the huge pile of them looking kind of cool and making for a pretty picture next to the huge burger (yelp.com/biz_photos/the-…), they really have no culinary or enjoyment value at all. They're really hard to eat and are not particularly tasty. To even taste them, you've gotta get a good fistful of them in your mouth at once since they're so thin on their own, which is a real mess and pretty embarrassing as you can feel the other hipsters watching you make a pig out of yourself. Another reason I came on Monday instead of the weekend was to try the Cubano Sandwich ($18) since I love Cuban sandwiches and this one looked really good and they don't have it on the weekend brunch menu. It did not disappoint. In fact, this might have been even more enjoyable than the burger for me, though it came with an equally forgettable side that was also a waste of time, some greens dressed in oil. Lastly, we ended with the Banoffee Pie ($8) (yelp.com/biz_photos/the-…). This was truly incredible. Composed of layers of dulce de leche, pastry cream, sliced bananas and whipped cream, this really shows that they know what they're doing here. One of the tastiest desserts I've had. This probably sounds like a lot of complaining for a 4-star review. But it's just that I expected more after all the hype. All of the food really is excellent. You definitely need to come here at least once to try that burger (don't waste yourself on the fries though).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.118339506; Sentiment_Subjectivity (from 0 to 1): 0.551558642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Service was excellent. Sat at the bar on a Friday night for some drinks and appetizers. Definitely plan to go back and try the dinner menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; 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: The Farm was really average to good.  Service was ridiculously slow, over an hour and twenty for entrees.  Two courses which had been featured in a cookbook ("the new brooklyn cookbook") (and are in season), have been replaced with mediocre versions (no fault here, but odd decision). So, and it gets personal here, a friend trips walking out, manager runs out to "make sure she's ok" and then asks how much she had to drink?  Pretty tacky.  Oh well...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.106336088; Sentiment_Subjectivity (from 0 to 1): 0.544857668 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While in NJ for a wedding and also visiting family, a restaurant that i had bookmarked for some time needed to be visited. So on Sunday, i decided to make the trek to Williamsburg. I guess the area is more hipsterish sought of reminded me of Hampden, but i digress. Upon arriving at Pies and Thighs i knew the wait was going to be long (an hr and a half), so i decided on take out since i had to go back to Baltimore. While waiting for my order i noticed that names that were called people had left (probably tired of waiting) so a lot of names were skipped. We got our  3 boxes of chicken and waffles, biscuit, chocolate donut, old fashioned donut in our order. The chicken was good really good actually just two small pieces which is a gripe, the waffles were different kinda weird. The donuts were good, next time i will order the chicken meal which gets you three, but two small pieces of chicken that tastes good for $12.50 no thanks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.032575758; Sentiment_Subjectivity (from 0 to 1): 0.493939394 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I first saw the name and the menu I was confused. It definitely doesn't scream Brazilian food. But the Beet with pumpkin seed salad I had was delicious. The appetizers with garlic and brussel sprouts and bread cheese ball thingie is yummy. We were the only customers there for lunch.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.17; Sentiment_Subjectivity (from 0 to 1): 0.706666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new noodle spot!  We got here early as Yelpers advised.  Caught a happy hour beer as we wait a few moments for our table.  The ramen filled bar is comically artsy. Out server was so attentive and informative. The food came out promptly and was so delicious.  we didn't get to try the port buns but we will next time!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.352272727; Sentiment_Subjectivity (from 0 to 1): 0.628282828 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place. Their sausage and broccoli rabe was amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.75 [/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: Its fancy, classy,  upscale and dressy  to impress your in laws. But the food was ok at best, somewhat overpriced. Service was decent, but the place was too stuffy and french for my liking. Most importantly did not care for the food and its overpriced. Not going back here again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 one of my favorite sushi restaurants in the city. The food is also great - the first time I had the lunch special, and most recently I had dinner, which included the Chikuzen Ni (assorted root vegetables and chicken), Ebi Shinjo (shrimp balls covered with almonds), Sake Oyako Don (steamed rice with salmon), and the Udon noodles with spinach.  The last of these was the most delicious! By the way, awesome restroom. It looks like a barrel from the outside. Ahhhh!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.358928571; Sentiment_Subjectivity (from 0 to 1): 0.580952381 [/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: #9 Went here for brunch and was good.  Def nice atmosphere and good choices.  Tried a number of the appetizers but really just remember the caramel brioche was good.   Went for the baked eggs in spicy sauce and again it didn't blow my mind.  It's eggs and wasn't as warm as I would have liked my dish to be.  But there was 8 of us so maybe it was hard to keep everything warm. The sausage and bacon were the stars on the menu and great sides to share. Overall a nice aexperience and would return with a group.  It does get busy and at times was hard to get any attention from any of the servers. 3 stars is all it's worth.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.394444444; Sentiment_Subjectivity (from 0 to 1): 0.548888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 name says it all, around 8 tables in here, the ability to watch the chef cook your entree, and one server/host. We stopped by on a Sunday morning around 11am with 5 people, and were lucky enough to be seated in about 30 mins. Once inside, you really get the feeling a lot of TLC and quality goes into this place. The service is super friendly, the menu is uncomplicated, and the prices are really decent. My gf went with the Salmon Benedict, and I went with the smoke sausage scramble. The sausage scramble was full of flavorful meat and the omelette was perfect on the cheese (I find a lot of places go overboard with cheese). However, I found the dish to be to salty and really overpowered the omelette. BUT, when you pair it with excellent potatoes, you get a good balance. My gf found the salmon benedict to be very light and the fish to be fresh and well seasoned. Watching the big chef dude in the kitchen prepare your stuff was probably just as entertaining enough to warrant a good review. But the food, the coffee (delicious), the prices, and the service all really contributed to a solid experience. I wish it were bigger, I wish there were a little more variety on the menu, but most of all, I wish I could go there a lot more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.340401235; Sentiment_Subjectivity (from 0 to 1): 0.52691358 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fabulous meal! This restaurant is new to the neighborhood and After reading all the great reviews I couldn't wait to try it out! They did not disappoint! Steak and eggs was amazing as well as the crabcake Benedict's for brunch. We also got tres leche pancakes which were amazing! Our waitress was so nice. Cant wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.512337662; Sentiment_Subjectivity (from 0 to 1): 0.714935065 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can buy cheap bottles of soju from the fridge and drink to your hearts desire / cause a ruckus without paying for all the chichifroufrou shit like fruit platters and tip. Then, once you're drunk and have ravaging drunk munchies, you can grab food from the fridge and heat it up and create a mess of spilt soju, fried rice, and whathaveyou.  Without even leaving the premises! Then, once your kimbap and kimchi fried rice and mackerel (so good!) have soaked up all the alcohol, you can grab more bottles of soju from the fridge and keep drinking. You'll spend a fraction of the price you would have if you got bottle service at 3rd floor and then went to kunjip to eat. Plus, you don't have to deal with all the skeazy drunk guys trying to grab you. Life. is. good. (No, I have never eaten here sober); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.059659091; Sentiment_Subjectivity (from 0 to 1): 0.597727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Caracas, arepa, michelada. There is sweet poetry in these words with a hint of spice, like the combination of fried plantains and avocado itself, the combination of Pacifico beer, hot sauce, salt, and lime, very fine. Sitting in the back garden, Hosta and Liatris spicata abound, all around. We could be miles away from the hot pavement and hopped up residents of nearby Bedford. So I think next time, I'll need to leave more minutes. Order that second round, opt for the Cahaca cocktail. And stay.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.187962963; Sentiment_Subjectivity (from 0 to 1): 0.433333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great! Spicy margarita is soooo good. The bartenders take pride and care in every drink they make.  Each drink tastes like it was made with love. Highly, highly recommend this place. Was there on Saturday and going back again Friday.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.472; Sentiment_Subjectivity (from 0 to 1): 0.498 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best pizza I ever had! Introduced to this place summer 13. Haven't looked at pizza the same since. The ingredients are always fresh, the service is quick. Great bang for your buck. Always packed however. I've only been here one time when there was no line; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.405555556; Sentiment_Subjectivity (from 0 to 1): 0.529166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 with some friends so we tried most of the dishes. The avocado and seaweed salad, the scallops, the rabbit and the lamb chops really stood out. The first fleet cocktail was very good. We then moved to the bar and the bartender was super nice. I didn't try the wines but according to my friends the selection was well thought out. Great addition to the neighborhood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.513333333; Sentiment_Subjectivity (from 0 to 1): 0.604285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oof, this pizza tastes good. But let it cool off a little before digging in, my slice was so hot that the toppings kind of started sliding off so I had to eat globs of cheese with my fingers right out of the box.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333035714; Sentiment_Subjectivity (from 0 to 1): 0.672619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really enjoy Montana's Trailhouse. I wandered in a few weeks after they opened one morning and met one of the owners as he was helping set up. Really nice and friendly, and he didn't mind my snapping a few quick pics of the interior decor. I came back with my husband for an early dinner a few months ago. We sat in the front "corridor" of the restaurant which features lovely plastered texture walls, almost reminiscent of a lot of the spots I saw when visiting New Orleans. The usual vintage bric-a-brac adorned the walls. Server was warm and friendly and came immediately to take our order, and then stopped by regularly to check on us throughout our meal. I ordered the fried chicken, my husband the brisket. While his brisket was too sweet for my taste, my fried chicken was absolutely outstanding, with a crunchy, flavorful exterior and juicy interior. The kale that accompanied the chicken was also great. Definitely recommend for diners in the Bushwick area.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.105204216; Sentiment_Subjectivity (from 0 to 1): 0.515498632 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 main dishes have not disappointed me, but i think where they really shine is their appetizer menu. I rather just make a meal of them. 1. The Empanada Appetizer: try the goat cheese and the beef. Fried to perfection. 2. Platanos Rellenos Appetizer: ripe plantain rounds stuffed w/seasoned chicken, chipotle sauce and cream-- very memorable 3. Molten Chocolate cake with vanilla icecream for dessert! *The mojitos are delicious and one drink is enough for a relaxing buzz =); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.306770833; 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: 3.5 stars I came here with my boyfriend last night for dinner. We had come here about two years ago for $1 oysters and hadn't been back since! I guess I forgot about it. Anyways, he came here with his mom recently and they both really enjoyed their fish. We split the clam chowder soup, which had a great taste and excellent bacon, but I prefer a thicker broth. For our entrees we got the lobster roll and the whole branzino. The lobster roll was SO salty, and trust me that if I think something is salty then most people will hate it. The branzino was really simple and nice--it is one of my favorite types of fish. I also picked up some fresh tilapia, which I plan on cooking this week. Overall, it is a good spot to have in the hood, but nothing mindblowing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.264285714; Sentiment_Subjectivity (from 0 to 1): 0.50170068 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Scrambled eggs, potatoes, bacon, mixed greens were all good. Bloody Mary was strong and delicious. Coffee was hot. Service could use a little work though, as they seem a tad bit unorganized, and I sat at the bar where you'd expect to get more attentive service. I'll definitely come back to try it out again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208712121; Sentiment_Subjectivity (from 0 to 1): 0.612121212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 line outside Tartine excited my stomach lining, as did the fact that it was acceptable for me to roll in two bottles of vino strong. I love French food and consider myself somewhat in tune with fine French cuisine.  Tartine was a bit of a disappointment. All I can remember is getting something covered in peppercorns, so much so that's all I could detect - pepper. The starters were better, we tried three different salads/appetizers that were all much more palatable than my meal. I finished drinking my dinner disappointed and tipsy.  Needless to say, I stopped for one of NY's famous gyro carts near the Waldorf before I fell deep into a blissfully intoxicated sleep. I love visiting NY and know there is so much better food out there so I probably won't go back for more pepper. The BYOB thing was a huge selling point though . . .; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.49469697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, so their grilled corn is good.  But so is Del Monte cream of corn soup.  Cafe Habana is as authentic as you can get for that area but I think that real cuban food is definitely in its true form in Harlem.  Their pulled pork sandwich is nothing to write home about and how could you afford to when they charge a good amount for their beans and rice.  I guess they gotta pay the rent somehow, right?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.404464286; Sentiment_Subjectivity (from 0 to 1): 0.554464286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: good. i like thin crust, not greasy, minimal cheese. doesnt compare to new haven pizza though; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.084090909; Sentiment_Subjectivity (from 0 to 1): 0.626136364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been coming here for almost 5 years now and i'm never disappointed.  Best yakitori in the USA.  Honestly every dish is amazingly good.  Only reason is not a 5 star is because one of their signature skewer was the specialty chicken meatball but they just took it out of the menu !!! I don't know why !!!  Please bring it back.  Also the specialty skewers run out really fast, so if you are not there early, most likely it will be sold out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.225; Sentiment_Subjectivity (from 0 to 1): 0.627272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perfect place to come for a meal, or just a sit at the bar. Great atmosphere - it looks a bit swanky when you step in, with the lovely staff and the low lighting, but hey, it's a burger joint! They have great food and delicious drinks. Their milkshake is so amazing (one of the best I've had in a long time), but they were out of strawberry when I came in! Tip: ask them to add booze to your milkshake for a little kick :) I love the bar area. They've got a TV in a good spot so that the patrons in the bar area can see, and also some of the people in the main dining area, if you're lucky. TV's in restaurants are a must in case your date is horridly boring, or if your team is in a playoff game.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.367647059; Sentiment_Subjectivity (from 0 to 1): 0.671568627 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 Reasons I love Hakata Ton ton: 1. The food is to die for 2. Friendly service 3. Cheap! (considering the big portion) 4. Quality ingredients 5. Cute and Cozy btw. reservation is recommended; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279166667; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Favorite new place. I wish it was in my neighborhood so I could just hang at the bar every other day. Highly recommend starting at the bar. Fantastic drinks. Order from the list or just tell their masterful bartender what you like. You won't be disappointed. Such a good staff, too. It just feels great here...be friendly and be ready to have a great evening. I had the beef tendon puff, I wanted many more of these...then the raw asparagus salad, delicious, very well dressed & tasty...and the Ricotta Gnocchi, Pea Greens, Hazelnuts, Pickled Ramps...had to go to the site to get the full description. Sooo good. Have to go back for dessert...was too full after the 3 courses. Have been back to the bar twice since this meal...with appointments elsewhere but had to come in for a drink. So worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.314623776; Sentiment_Subjectivity (from 0 to 1): 0.531243357 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Num Pang is as good as advertised. I had the Coconut Tiger Shrimp sandwich and blood orange lemonade. Tasty, light, delicious. Oh, and organic too. I feel bad for wasting the hot sauce, but there was just no reason to mess with the tiger shrimp perfection. The upstairs seating was closed for renovations, but Union Square probably offered a better view anyway. Definitely go for a bite when you're in the area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.208333333; Sentiment_Subjectivity (from 0 to 1): 0.565740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 read Olivia c review, and was like WOW...I go to this spot at least once a week. the burgers are off the chain. the service is great, (Erica Rocks). The young lady who cooks the burgers is great. Every visit is wonderful. The entire staff is attentive to your every need. You must, and I'll say it again. YOU MUST GO THURSDAY TO REGGAE NIGHT. I love the jerk chicken special it's DELISH. I'm here tonight getting my burger fix.....PATTY MELT made by Gene. Eli  was my server, he's new, he's great. the drink are also on point. The Hoax, mmmmm. I don't know how anyone could say anything bad about a place as cool as Millers....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.260250464; Sentiment_Subjectivity (from 0 to 1): 0.676260049 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My husband and I debated the 4 or 5 star rating on Grape and Grain. He won! He said he wants people to know that this restaurant and their neighboring restaurant Against the Grain were so accommodating to our party of 7. We made reservations and when we got there they felt bad that our party couldn't be seated right away because the other group was taking a long time to leave. They brought us next door to order drinks and I believe they paid for them. The server was amazing. He took our orders at different times, remembered the drinks we ordered and was timely in delivering our food and drinks  to us. The price was shockingly cheap for NY prices.  Okay the reason I said a 4 was the music was so loud my ears rang. He said that's because I am over 50. I say no, I love loud music but their music was really loud.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.082908163; Sentiment_Subjectivity (from 0 to 1): 0.555527211 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want a trendy looking place (will not mention any names but there are so many style-over-substance Thai joints in the city), this isn't exactly it. However, bare-bones in appearance but boasting yummy flavors, you literally take a number here and wait. Loses a point for the fact that there's no bar at which you could wait for your table.The hostess was realistic in telling us our wait would be a half hour. Once seated, the service was so-so, likely because it was extremely crowded (true, it was a Saturday evening). We were handed spiral-bound, laminated menues that read more like a textbook, complete with little photos of the dishes and lovely glamour shots of the desserts. Not sure what kind of crack is in the coconut rice but it hit the spot as a nice side dish to my drunken noodles with tofu (yes, carbs complemented by carbs). Also loved the spring rolls and the Thai iced tea, which was more along the lines of an indulgent drink like a milkshake. All in all, would return on a weeknight with hopes of getting seated and fed sooner without the crowds.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240972222; Sentiment_Subjectivity (from 0 to 1): 0.61882716 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great French place in LES. Came her for brunch. Small but inviting. No frills- just great French good, good coffee, friendly staff and one of the best meals I've had in a while. I'll definitely be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4125; Sentiment_Subjectivity (from 0 to 1): 0.39 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quickly becoming my go-to spot for dinner with friends in the village. I have been here twice and both times it was great food in a lively atmosphere,  but not so crowded or loud that you can't relax and have a great conversation. Swine has a vintage/rustic decor, with festive market lights strung across the ceiling. The food is delicious and indulgent without being overpriced, but you must be in the mood for a heavier meal. On my last two visits, I have enjoyed: - Foie Gras - buttery and delicious, served with toast and a fruit jam - Bacon-braised rabbit leg with polenta - my friend agreed this was the best dish - Duck breast with brussels sprouts - a little lighter than the above, and fantastic. I also had the charcuterie plate, but I am not a huge fan of pate, and so cannot recommend. The wine list can be pricey, but there are some reasonable suggestions. I would NOT recommend the wine on tap. They were out of a few selections, but the one I tried (Granacha) was terrible and I promptly returned to the wine list. Service is also very friendly and attentive. They are helpful and enthusiastic about the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.314318182; Sentiment_Subjectivity (from 0 to 1): 0.663333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 grabbed a pork bahn mi and shrimp summer rolls for lunch today. Either one is big enough to make a meal by itself. The bahn mi is INCREDIBLE! I got it medium spicy, which is VERY spicy by normal white-person standards, which was perfect for me. I don't know what parts of the pig are in the sandwich but I don't even care. Seriously, it's an amazing sandwich.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.421428571; Sentiment_Subjectivity (from 0 to 1): 0.621428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want to add that the nocciola gelato is LEGIT. (Still my heaven.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/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 sandwich! I had a turkey with housemade mozzarella, balsamic and some other stuff on a fresh ciabatta roll/hero hybrid about 10 days ago, and I think the sandwich has crossed my mind at least once every day since then. The turkey is roasted in house, but I don't even think you're supposed to come here for the turkey. The stars are apparently the proscuitto and the other Italian meats, but I liked my turkey so much it would be hard not to get it again the next time I go back. So many of their sandwiches looked great though. I met the owner, who was very friendly and seemed genuinely proud of his business. And he damn well should be.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.243489583; Sentiment_Subjectivity (from 0 to 1): 0.449479167 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious! In between shopping at SoHo and meeting a friend who bartends at Trump SoHo we decided to grab a quick bite at Balthazar. Our order: -veal -bronzino (fish) -side of pomme frittes Everything was delicious and light (except the french fries of course). Even though it was ridiculously crowded service was on point and it was an enjoyable meal. Solid spot for dinner in SoHo.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; 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: Me: "I have heard very good things about this restaurant" Waiter: "This is right now the best restaurant in all of New York City' Now that is one bold statement, so I put him to the test and said we will experiment with a bunch of items from the menu, and will pass the judgment then. The place is very cozy, with not a lot of tables, but it does have a fairly decent bar seating comparatively. Since we were both hungry, we opted for the bar stools which actually were fairly comfortable. The menu comes in a cute little book, with a fold out of kitchen utensils. I have to say it was a bit confusing, but after understanding what it was, couldn't help but admire it. The menu is both in French and English and given how hungry we were, we decided to order anything that we saw on tables around us. I loved the way the food was paced out, Our bartender started with our first order "Brandade de Morue" which was Salted Cod in Olive Oil, Milk and Garlic. Since I had never had Brandade before, I followed the instructions on spreading it out on toasted bread and then taking a bite. It was simply delicious. We quickly finished the four pieces of toast that were provided to us, when the bartender brought in the next item, "Moules a la Rouille" , which was steamed mussels, in an unbelievable and indescribable sauce. There was a layer of a yellow sauce, that was creamy, a hint of lemon, and some cheese, which was delicious. Once the Mussels were given their proper respect, the poached egg with greens and the "Coq au Vin" i.e. Chicken in Vine and mushrooms was presented. The egg was great however by the time we attacked the Chicken we were too full. The bartender had overheard me talking about the Chocolate mousse which was a recommendation from a fellow yelper, and even without us asking for it, he brought one over, and yes it was everything that I had heard of and more!! So is it the Best Restaurant in New York City? Well when you walk out feeling extremely satisfied with the service, the food, the ambiance, it doesn't matter if there is a better restaurant out there. But for that moment, it was definitely a great dinning experience and one that I would love to enjoy again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.305300711; Sentiment_Subjectivity (from 0 to 1): 0.563327767 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Must try, everything is slamming, skirt steak is off the charts, try the banana with the pulled pork appetizer delicious.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>