Datasets:

syannn

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spammer

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i had the $23 3-course dine in brooklyn.  i had tha beet salad, duck and bread pudding. all my dining companions were satisified.  4 out of the six had the duck.  we all had the beet salad.  funny no?  3 bread pudding, 2 apple crisps and 1 chocolate cake.  the duck was moist and tender.  the only sad thing was that i didn't get more bread to soak up the duck juices and sauce.  mmmmm.  the bread for the table was accompanied with garlic butter and liver paste.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0625; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i popped in for brunch.  this spot in cozy, but pop in before noon and you shouldn't have a problem getting a seat.  i had the rosewater waffle which was delicious.  the lebanese yogurt was a perfect topping and the light honey syrup made me feel like i was eating healthy.  coffee cups are on the smaller size, but refills are free so that's a plus.  my pal got the great shashuka, which was baked eggs smoothered with tomatillo sauce with challah toast.  my friend needed extra toast to soak up all the tomatillo goodness.  NOTE: they charged $2 for additional toast.  the service is aiight, so waitresses better than others.  it seemed like many of the customers knew the staff. i'll be back for another breakie helping.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.408333333; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: $4 lychee martinis til 10pm.  nuff said.; Max_Daily_Reviews: 2; 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: clued into this lunch spot but jacquelyn s.  it really is a deal for $17.  the wedge salad is larger than the side salads you get at most japanese spots.  the rice with choice of topping, i got salmon roe.  it's a nice to have a little in between spoonfuls of ramen goodness.  i haven't admitted in the past that i'm not a huge ramen gal.  i've done the ippudo, and i must say zutto overtakes the more popular outfit.  first off, no lines at lunch and i would say better broth.  i had the hakata classic.  had it with chopped pork and added pork belly for good measure.  needless to say i was stuffed at the end of the meal.  i'll be back to try the sashimi lunch prix fixe.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.179947917; Sentiment_Subjectivity (from 0 to 1): 0.490625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 coworker introduced me to the latest lunch spot in our work hood.  this little store front home made Mediterranean outfit is a breath of fresh air from the meat cart located on the corner of varick and canal.  i had the falafel sandwich.  even though i said i would be eating in (about 6 stool in the joint), they packed to go and even put in a plastic bag.  one of my pet peeves is unnecessary plastic bags, so ticked a star off for that.  the falafel is moist with a light crunch.  the cucumber and tomato salad is full of cilantro and mint.  yums!  so will be back and maybe next time they will sort out the eat in's. CASH ONLY (for the time being I hope); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.561111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i met a friend for dinner here.  i was questioning where to sit and she called to say she was in the back.  there is an adequate amount of seating past the counter which takes most of the front end. i had the roasted pork with "salad" and fries.  the pork was great.  moist and tender.   fries were meh, but i wasn't expecting them to be at a cuban place.  i should have gotten the plantains.  my biggest complaint would be the "salad"  it was a bunch of shredded iceberg lettuce with a a slices of tomato and cucumber on top.  no dressing. i'll be back and not have the "salad".  the pork and price - $9 for entree and 2 sides is a good deal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.253703704; Sentiment_Subjectivity (from 0 to 1): 0.348148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 2 for 1 happy hour from 5-8pm makes the hour wait bearable.  $3 for sapporo or kirin.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Popped in for Happy Hour, on a hot and stormy Friday afternoon.  Love the 2 for 1 on cocktails (2 for $10).  With names like "Pump up the Jams" and "Gin-X," you can't help but try a few with those prices. I had both previously mentioned. More spice than whiskey in the first, but still liked it. The "Gin-X" was a perfect mix of gin and basil. I'll be back for more of those.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.366666667; Sentiment_Subjectivity (from 0 to 1): 0.531818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was visiting NY and I told my friend to pick a place that she'd never been,  and lucky for me, she chose Snack. There are only about five tables in the entire restaurant - I actually couldn't believe we got a table without a reservation, but it all worked out. My friend is Greek,  and grew up eating Greek foods, so she ordered our food. We had the most amazing cheese triangles and the eggplant spread - both amazing. We also shared the lamb dish which was fantastic. Overall a perfect experience, and as an added bonus is was very inexpensive.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279487179; Sentiment_Subjectivity (from 0 to 1): 0.542948718 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OMG...YUM. I literally waited for 1.5 hours to get in - and I can honestly say, it was worth the wait! I had the southern breakfast (of course), and it came with cheese grits, sugar cured bacon, hash browns and a biscuit...so effing good. My friend got the blueberry pancakes and they were literally the best pancakes I've ever tried - so good! Def try it out if you haven't yet, but plan to spend a good three-four hours there including wait time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.46875; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ate brunch here quite some time ago, and I remember it being very good so I'll have to go back and try it again, but right now I wanted to comment on how amazing their Sweet Tea Vodka drink is, because it's basically the best drink EVER. I'm not quite sure what they do, so don't quote me on this, but I think they infuse a carafe of vodka with many many Earl Grey tea bags, then the mix the infused tea vodka with pink lemonade, and let me tell you - it's damn good. I will be back...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.39967033; Sentiment_Subjectivity (from 0 to 1): 0.465738706 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmmmmmmm, this pizza is delicious. The pizzas are all thin crust  which I love. You can either order a 9 inch or a 16 inch, so we ordered two 9 inch pies and shared. We tried the Spicy Garden, a perfect combination of cheese and veggies, including jalapenos which give it a spicy kick, and we also had the Formaggio Bianco, which has ricotta, mozzarella, spinach and basil- yum! It's a really small spot with booth seats and stand alone tables, and the atmosphere is dark, but I would definitely recommend to anyone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.242857143; 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: How can you beat $4 lychee martinis and sangrias until 10pm? I had a great time catching up with friends in the very back table at Verlaine. The only reason I'm not giving it that fifth star is because it was literally impossible to move around once we sat down - so packed. But again, that's sort of expected on a Friday night, isn't it?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.068253968; Sentiment_Subjectivity (from 0 to 1): 0.61984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A few friends and I tried to eat at Little Owl, but they didn't have a four top table, so the host recommended that we check out their sister restaurant, Market Table. He even called and reserved a table for us so it was ready when we arrived a few minutes later. I started out with the special for the evening, the leek and potato soup, and it was to die for. Just the right consistency, not too thick, and the mixture of potatoes, mushrooms and leeks was perfect. For my entree I had the halibut and it was just as good as the soup, and beautiful to boot. I couldn't make it to dessert, but they had a polka dot cheesecake that sounded really good, I'll have to try it next time. It was a bit pricey at about $50 a person (without drinks), but I can easily say that the service, atmosphere and food at Market Table were well worth the money.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.277418155; Sentiment_Subjectivity (from 0 to 1): 0.463467262 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, I admit it.  I've never been a huge fan of Greek food.  I'm reminded of this place in Minneapolis, It's Greek to Me -- and eating this really, really REALLY tough octopus appetizer there.  I don't remember any other dishes there, though I ate their several times in high school in an attempt to be cool by going "downtown" or Uptown (yes, as in the Prince song too). Snack changed my mind. Creamy cucumber tsatsiki. Savory veal meatballs, bespeckled in pinenuts. Flaky spinach pies (how do you spell that?!). Oooooooh yeeeeeaaaah. We really liked the prices, portions and ambiance too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.158361111; Sentiment_Subjectivity (from 0 to 1): 0.459833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Berkshire port ssam.  Juicy, porky ... kimchee-y.  $9?!  Chipotle burrito.  $7 (at least, in NYC).  The Berkshire port Ssam is only twice as good.  And it's BIG.  On the quality-quantity-price matrix, this is an amazing deal.  Go David Chang! (Oh yeah, the rice bowl -- a Korean version of the Vietnamese bun dish -- and the Granny Smith apple kimchee were both quite tasty too.); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.23; 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: The Farm on Adderley gets five stars for its fries.  They really are the best I've ever had! I think I wrote this review because I was thinking we should go again and get those fries ...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.25 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ducked into this extremely small space (a tiny storefront on Thompson) on a rainy Tuesday afternoon and scored the last table (out of maybe 5 or 6) and had a very filling, very good lunch. The highlight was the butter bean salad ($8), a generous helping of large butter beans over a bed of arugula and topped with a lemon vinagrette. The well-reviewed lamb sandwich ($9) was HUGE (you can split this), but was as good as promised. Eyeing the other tables, the dips and wraps also looked delicious. The only downside was that at 3pm they were out of the tuna sandwich and the spanikopita. But that's what  really what we risked with having late lunch. Otherwise,  what we had was excellent.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.296619048; Sentiment_Subjectivity (from 0 to 1): 0.610015873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 actually missed this place even after I read another Yelp review warning me I would miss it and resolved not to! This dark slice of a restaurant has no bold lettering or color to catch you but doubletrack, search and hunt until you find it because the experience is WONDERFUL. First of all, you are really squeezed with exactly 8 other people, if you only came with one person. And I recommend you come with either 1 or 3 people, exactly. But I liked being squeezed because I am outgoing by nature and the snatches of conversation I overheard were hilarious. Anyway, my friend and I split the lamb sandwich (as feverishly upheld by other Yelpers) and baklava. The lamb was incredibly soft, juicy and flavorful while the bread was the perfect foil: dense, sturdy and crusty. The baklava was comparable to other baklavas I've had. I would say Kashkaval's is crispier and more held together. However, as I glanced around the table, I compiled a list of what to order next time, with a group of 3: Meze such as hummus, tsaztiki, white beans gigantes, any of the soups (they looked divine), and the lamb sandwich. I can't wait until then!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.180416667; Sentiment_Subjectivity (from 0 to 1): 0.48125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Moscow Mule. Grits. Mac 'n' Cheese. Photobooth. Friends. I love The Smith. A NYC sophisticated and fast paced/loud but also comforting down to earth American standby if there ever was one.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208888889; Sentiment_Subjectivity (from 0 to 1): 0.497777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meh. Sometimes Yelp can help you find tiny little hidden gems and then other times it can build up mythical giant fortresses of a reputation. Unfortunately, Little Owl falls squarely into the latter category. I admit that I did not come here for dinner - only for brunch - but a superior institution should especially prove itself through the most mediocre of culinary traditions: le brunch. I also admit that I may perhaps be biased to the 'New American' cuisine genre altogether (bland and decidedly as greasy as 'old' american much?) but come on here. Little Owl served a glorified and overpriced brunch. An unremarkable omelette along with some unremarkable grits led to my girlfriend and I wandering around the West Village practically drooling to eat again at Rosemary's or Yerba Buena or Elephant or Castle or somewhere that injected its plates with some exciting twists and flavor. Little Owl surely seems to be a solid option in the West Village - but no wonder my intuition kept me from eating here until I moved literally two blocks away. A destination restaurant Little Owl not be.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.021621212; Sentiment_Subjectivity (from 0 to 1): 0.50340404 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What's a perfect lunch or dinner? Well, Taim is now included in my idea of one. With a roasted red pepper falafel platter and a banana lime date smoothie, I had more flavors and textures than $14 could buy me anywhere else in NYC. The soft and puffy toasted whole wheat pita was MADE for the three accompanying sauces and delicious tabouli and israeli salads. The red falafel was satisfyingly crisp and crunchy on the outside but practically feather light inside. Call it the fried chickpea version of a Ferrero Rocher. I have two other platters to try, the rest of the flavors of the deliciously thick smoothies, and the sabich, which I hear is amazing. And I'm always game for homemade baklava. Taim, save some seats for me when I return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.230357143; Sentiment_Subjectivity (from 0 to 1): 0.469047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A wonderful place for brunch! Calle Ocho has a very lively crowd, an interestingly designed cavernous main dining space, a variety of complimentary bread and muffins, and unlimited sangria. Best amenities I've seen in Manhattan for a menu that is reasonably priced.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.477705628; Sentiment_Subjectivity (from 0 to 1): 0.554761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Literally a hole in the wall, but delicious food. Try the veggie moussaka, the hummus...really, anything. Probably have a better chance of getting food if you do takeout instead of trying to get a seat, as I doubt that it has more than 10 chairs, but it's worth the wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good: Complimentary cocktail (Raspberry Champagne for me, tasty) or OJ (for my friend) helped bring the price down, and the entrees (Vanilla Bean French Toast and Benedict Johnny) were decent - and about $18/person with tip is pretty good for Soho brunch. The bad: After seeing a movie at the nearby Angelika, a friend and I came to wait in line at Jane for their famous brunch. Not only was our "30 minute wait" over an hour,  in the end an hour wasn't worth the other hassles.  The bread basket was cold, the restaurant itself was way too packed for a space that big (we were basically sitting on the laps of the people next to us). The ugly: After my friend complained about the wait, they brought over complimentary banana chocolate chip bread to apologize and almost redeemed themselves...except that most of it wasn't finished baking.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.059795322; Sentiment_Subjectivity (from 0 to 1): 0.531432749 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 places in the city. Was recently there with an out-of-town friend and of course we both got the corn (I still don't know what's on it - spices, cheese, butter - but it's addictive like crack), mojitos (nice and strong), the plantains, and each got an entree. My Tiacoyo deTres Marias was fantastic and big enough to take the leftovers for lunch the next day. All of that, including 1 drink for me and 2 for her, was under $45, which is pretty good especially for NoLIta. We did have to wait for an hour to be seated, but the hostess was polite and kept checking in with us, and it was a really nice weekend night. Totally worth the wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.270238095; Sentiment_Subjectivity (from 0 to 1): 0.648809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for a birthday dinner with 5 friends in November and had a great time. Sat in the downstairs, which you would never know was there from the street! The waiter was brutally honest - guiding us away from the just ok on the menu to the wonderful. We all split a bunch of appetizers, had some yummy drinks and deserts. It was the lamb shank, however, that was AMAZING. Everyone else loved their food too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7625; Sentiment_Subjectivity (from 0 to 1): 0.808333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my supervisors recommended this place to me. I walked passed the place twice (very unassuming, small door). Once inside, I was surprised to discover that the space underneath my bed was bigger than this establishment. Good thing I was just picking up my order. So I got the greek salad with the chicken bourlaki (doubt I spelled that correctly). Whoa, this stuff tastes great. Probably the best greek salad I've had to date. And the lamb sandwich is M-azing. Definitely a diamond in the ruff... Tip: If you must eat-in, ask someone if it's ok to sit on their lap. Otherwise, plan on eating on the benches outside.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.188461538; Sentiment_Subjectivity (from 0 to 1): 0.442307692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go Dosa man!!! I decided against a long, elaborate review. This place is an NYU community staple, and rightfully so. Cheap and tasty Indian... Why only 4 stars? Because the dosa man likes to play with my emotions and not show up on certain days :(; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.052380952; Sentiment_Subjectivity (from 0 to 1): 0.778571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4 stars for the cheapest falafel in the city! So, its not the BEST falafel your palate will experience, but this place gives other places a run for their money. I particularly like my falafel plate, but the sandwich seems to be the top-seller. Overall, a good cheap eat. Tip: If you are going to try this for lunch, make sure you drop by towards the top-of-the-hour (11:30p-12:30). For some reason, when I get my falafel any later, its dry and hard...yuck; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.286111111; Sentiment_Subjectivity (from 0 to 1): 0.42191358 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 second the "crack in the salad dressing" comment. I have no idea what it is about that orange 'stuff,' but I find myself cursing myself for eating it too quickly (just like a real feen, eh?). This place is wonderful! Healthy and tasty...I especially like the miso-glazed salmon plate and the avocado salad...sooo good! If you like a Californian twist in your Vietnamese, look no further. Wait...you thought I was done? Ha. Nothing is perfect, and to prove it, I must list the cons: (1) Grilled chicken w/ napa slaw...hmm, when I googled this, napa slaw was described w/ all of these savory ingredients. Too bad its just chicken w/ regular coleslaw... yeah totally misleading. (2) Pork loin w/ mango chutney...yeah, didn't enjoy this at all. The pork is cut too thick and the bread does not withstand the meat and the chutney...what a mess :(; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.022807018; Sentiment_Subjectivity (from 0 to 1): 0.628609987 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 could talk about this place all day...affordable italian in Soho!! I am so happy that I found this place. The menu is riduculously large, and the portions are hearty...hmm, i don't think i've ever actually typed the word "hearty." The word even looks weird... Anyway, this place has fared well with Zagat for over close to 10 years (made evident by the list of Zagat rating stickers all over the front door). The space is small, which plays on the family-style, cozy effect. You would think that with such a large selection of pizzas and pasta dishes, things would begin to taste the same. Certainly not the case. I am always surprised that every new dish I try is distinctly different from the last. I dare anyone to find another restaurant that packs as much seafood on your plate at Il Corallo's prices...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.050458365; Sentiment_Subjectivity (from 0 to 1): 0.457340209 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch spot when you want something light and fresh and pretty.  I had the artichoke chicken salad and it had beans in it the size of my brain.  Have you ever had a mouth full of bean?  It's fantastic!  The bigger then bean, the better.   I'm totally coming here for dinner one night after work for sure.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.290909091; Sentiment_Subjectivity (from 0 to 1): 0.748989899 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 relaxing.  Yes, it's loud and crowded, but it's also without pretention and everyone there is so damn friendly so you can really get comfortable. Order the clam chowder.  It goes so well with a cold beer.  Creamy heaven.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.095; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to add that last night I had the Blue Fin Toro from Spain and it literally brought a tear to my eye*** Nothing short of amazing.  Go for the omakase, because getting a GD cucumber roll, like the woman sitting next to me, is ridiculous.  While you're waiting try the soft shell crab - the meatiest most beautiful one I have ever had.  And the fried blowfish - which was light and fresh which is not usually the way I describe fried foods.  The fish is super fresh and I love that the pieces are reasonably sized.  I'm not a fan of the Costco size sashimi that places like Yama serve.  I'm thinking that if I can fit my fist in my mouth, but I can't get a whole piece of Yama's hamachi in there, the pieces might be a bit large.   I love the toothpicks they give you at the end - they look like they've been whittled by Yasuda-san himself.  Wonderful.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.294727891; Sentiment_Subjectivity (from 0 to 1): 0.51723356 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decent service.  Decent noodles. Decent price.  Wish they had takoyaki and gyoza, but even without this place is a go-to spot for hot noodles.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1875; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wait can be insultingly long.  About half of the times I have attempted Bubby's, I have ended up at Boule or Odeon.  I can wait 45 minutes for dinner, but in the morning you can't burn through a wait by having drinks at the bar.  At least I can't.  Hats off to those of you who can.  So their biscuit basket is delicious, but Maroon's in Chelsea is just as good if you're looking for a tasty piece of bread.  And there's more of the see and be seen thing going on there the last few times I've been which is kind of absurd at breakfast, right?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16991342; Sentiment_Subjectivity (from 0 to 1): 0.515367965 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is surprisingly tasty but only if you are eating before 9:30 pm.  After that, the place is such a sausage fest and you won't be able to find the end of the line for the bathroom and it'll just ruin the tasty food part of the experience.  Another nice option is to show up at 3 am.  Most of the crowd has left - probably b/c they're completely triple vision blotto from the super strong EO concoctions.  At any rate, after 3, it's a nice place and you wish it was like that at midnight.  Everyone who works there has a Daytona-Beach-during-Spring-Break helping of tolerance for the incredibly drunk, and they only become nicer as the night wears on.  Too bad the place is a sausage factory for most of the night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.204444444; Sentiment_Subjectivity (from 0 to 1): 0.672777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid curry.  Cheap.  Crispy katsu.  Super Asian crowd. My friend had to throw her napkin and receipt into the bowl to stop eating, but then she just kept eating around the crumpled trash.  For what it is, it totally hits the spot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.146666667; Sentiment_Subjectivity (from 0 to 1): 0.443333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It wasn't until I came here that I really, truly appreciated how delicious my mother's yakitori is.  I know she lives in Seattle and she doesn't have a restaurant, but if you ever have the chance to eat her food you should go for it with bare hands and a bib.  I love greasy crispy gyoza and they do have this.  I recommend ignoring the menu except for the Chef's Selections, and then have your waiter/waitress pick from that menu what you should eat.  And if you've not tried gizzards and heart and neck and cartilige, well, why not give it a shot?  Because the chicken breast is so bland it'll make you want to spit it into your napkin b.c it's such an absolute waste of stomach space.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.118333333; Sentiment_Subjectivity (from 0 to 1): 0.518333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 big fat greek lamb sandwich. took my visiting cousin from chicago here after she had done time at some of ny's fancier establishments and was in the market for some real food..     braised lamb that falls apart.   ciabatta-esque bread.   arugala.   get it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.066666667; Sentiment_Subjectivity (from 0 to 1): 0.133333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If I i could drink the sauce that accompanies the creole wings i would.       Look up at the board, ordering's easy.  Get the wings.  Get the corn bread-- use it to sop up aforementioned creole wing sauce.  get a burger.   Add chili to your burger, when's the last time you did that?   Bullshit with your friends.   Have a drink or 5.   All is well in the world. This is your new go-to joint.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.142424242; Sentiment_Subjectivity (from 0 to 1): 0.338636364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 gotta say, I was very impressed with Snack.  How did I not know of this place sooner?  Oh wait...I know.  'Cause it blends into Thompson St. so well that unless you know where it is, you can easily walk right by it!  Spurred by Sam and Russ's reviews, I decided to spice up my lunch routine and grab a takeaway from Snack.  Quick service, small location, GREAT food.  I tried the Lamb sandwich which was not only wonderfully flavored and smelled so delicious that I had to prevent myself from just stopping in the middle of Prince St. and start my chomping.  The only complaint one might have would be that the bread gets quite soggy 'cause of all the lamb juice drippings.  But hey!  I'm not complaining!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.350421627; Sentiment_Subjectivity (from 0 to 1): 0.684920635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic eats! I've been here once as a guest and I cannot be more thrilled to say this was a great experience. The Crab toast with lemon aioli, Ramp and goat cheese toast, Wood oven roasted fiddlehead fern and Jersey tomatoes, buffalo mozzarella and basil pizza were to die for! And to finish a meal with impeccable desserts! ~ Sundae (salted caramel ice cream, candied peanuts & popcorn, whipped cream, chocolate sauce) ~ Market Strawberries and Juice (mint, lime, meringue, sour cream-poppy seed sorbet) ~ Rhubarb Almond Crumble Tart (with rhubarb whipped cream) I still think about this meal.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.564583333; Sentiment_Subjectivity (from 0 to 1): 0.616666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Highly recommended by a friend of David S.'s, I walked into CookShop with high expectations.  And, like many impulse choices, there were both hits and misses during my dining experience earlier this evening at CookShop.  First, the preliminary information: service was VERY good (but that's only because the waitress handled all of my questions really well and didn't look like she wanted to grab the steak knife and stab me).  The place itself is huge compared to many other NY restaurants and I would totally come back here again (maybe tomorrow for a simple Christmas eve dinner!).  Think Bravo's TopChef if it was a restaurant.  Clean, simple, and elegant.  Just like the food. Second, the food.  For starters, I had the special: Long Island Razor Clams with a lemon-butter and herb sauce.  Really good.  Fresh.  Simple.  And I love the smell of lemons.  My partner-in-crime Sonny D. sampled the Grilled Montauk squid with black olive and fava beans.  Not a complaint from him either.  This meal was starting to look good. Entrees: Suckling pig "a la porchetta" with a fennel salad and quince mostarda (mine!), and a grass-fed New York hanger steak with all the fixin's (Sonny's!).  Who can say no to a slice of different portions of a suckling pig rolled up in pig fat and deep fried?  And then served on a bed of shredded fennel and topped with a quince dressing?  Yeah, I didn't think you could either. And who can forget dessert.  I sampled the warm caramel bread pudding with spiced ice cream (I didn't care for the ice cream.  I did care for the bread pudding though) and Sonny got the sorbet sampler (3 scoops: black fig, tangerine, and pear cider).   Overall, this was a pretty darn good dinner.  And the best part, it was all locally-grown produce which supports New York State and the metropolitan area, as well as being environmentally conscience.  And, there were unique dishes (aka. not boring!)  Cookshop has officially been inserted into of my favorites.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.251307359; Sentiment_Subjectivity (from 0 to 1): 0.513423701 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! I took a date here and we had a fantastic experience from start to finish. The sommelier was very helpful with the wine selection (glasses of the Vina Albredi Tempranillo Reserva 2007 Rioja Alta) and the food was perfect. We ordered: ~ Brussels Sprouts w/ squash puree, lime - who can resist roasted brussel sprouts? The smell alone is worth the order. ~ Hamachi Tartare w/ sweet potato, wasabi, ponzu, shiitake - yummy! ~ Pork Belly w/ hominy, chili broth, lime - great ~ Short Ribs with mashed potato, red wine, shallots - fall apart delicious! The portions are sizable for tapas but it was phenomenal experience. Will return again!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.523863636; Sentiment_Subjectivity (from 0 to 1): 0.590909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 across Despana when I heard rumors of it carrying an aloe vera/rhubarb white chocolate that I was curious to try (Very good but sadly, I bought the last bar before they discontinued stocking it).  But I was very impressed by the inventory of this place.  Whenever I want to utilize my lunch hour for a nice stroll, I always swing by Despana because there is always some free tastings to be had and I'm a big fan of that!  From the sounds of things, I should try some of their sandwiches.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.256666667; Sentiment_Subjectivity (from 0 to 1): 0.638518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Over priced, over priced, over priced.  But the beer I got with dinner was good, good, good.  It's a hard to find restaurant that reminds me of dinners in asia.  The walk through the lobby of an office building, the service stairs, the small, dim hallways.  And then, you arrive at the restaurant.  I tried the specials (pork belly in broth, mixed mushroom salad, etc.) while my friend tried a few of the staples.  The green tea truffles are impressive,  Actually, the green tea truffles were amazing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.204487179; Sentiment_Subjectivity (from 0 to 1): 0.476282051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was here not too long ago with friends and I gotta say, the food is great.  I highly recommend getting the bibimbap (I know, Korean food in a Japanese restaurant) because they way they make it is so good, I could eat a bowl just by myself.  Come with friends or just come alone.  You'll have a good time nonetheless.  Good service.  Just be warned, come during peak hours and there is a lengthy wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.43; Sentiment_Subjectivity (from 0 to 1): 0.498571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unbelievably delicious! I don't know about you, but there are times when I crave walking through a door and being blasted with the smell of deep frying oil and potatoes.  Throw in a myriad of dipping sauces and you've got a bonafide winner in my book.  Today, already tired from the hefty amount of work that happens on monday mornings, I decided that I needed a break and so I went out for coffee.  Then, the craving starts.  Potatoes.  Oil.  Hence, I bolted to Pommes Frites for their fries.   Craving...satisfied! (And now my office smells like fries and oil too!); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.05625; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I cannot tell you how often I have heard from others of the this restaurant.  "It's really good brunch, we should go" or "Any place that has a long line has got to be good!".  Well, by chance, I was walking with a friend looking for a good dinner place and stumbled across Clinton St. Baking Company.  (Think of it as an "Oh! It's here" moment)  Anyhow, we were thoroughly pleased.  Great service.  Fun music.  Small but cozy atmosphere.  And the hot cider with rum is delicious.  For dinner, I got the Po' Boy Catch of the Day (Tilapia) with house tartar sauce, cole slaw, and homemade chips.  My friend tried the black angus cheeseburger on a crioche roll with caramelized sweet onions and homemade chips.  Both were phenomenal.  Next time, we are going back to try the wild maine blueberry pancakes ('cause breakfast for dinner is always neat) and the buttermilk fried chicken with a honey-tabasco sauce. In conclusion, if you're not the mood to wait on line for weekend brunch, I highly recommend coming here for dinner.  Equally good food without the wait!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.300916667; Sentiment_Subjectivity (from 0 to 1): 0.561166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Even before I moved to NY, I have heard of the NY Dosa pushcart.  And after working for a good few months in NY, I finally had the courage to try to find this stand for a good (and fairly inexpensive) lunch.   And good cannot begin to describe it.  First, I have no idea what I ate.  All I know is I said "Rava" and "Masala" and a few minutes later, I forked over $5 and speed-walked back to my office.  I was hungry!  Second, like other reviewers said, the food is good, and really fresh.  Not only did you see it cooked for you, but you can really sense the complexities flavors that went into each component of the dish.  From the bay leaves in the soup to the spices, this was a very satisfying meal and worth the wait and the walk in 80+ NY summer weather.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.259722222; Sentiment_Subjectivity (from 0 to 1): 0.444907407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Barboncino is like a warm, welcoming beacon with it's light on waiting for you to come home. From the street, I didn't expect much but after you settle into your table, get your pint-sized glass of water, and see the simple menu, you realize you're in for an experience. Because there are happy people all around you. Good food means happy people. Get the appetizers! Get the beer (which was happy hour when I visited), and most certainly get the pizza! My group ordered four and they were all promptly devoured with no one expressing any preference over another. Because they're all good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.542532468; Sentiment_Subjectivity (from 0 to 1): 0.648051948 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Places like Bedouin Tent reminds me why I like food.  On a recent day, I was walking back to the office from a meeting and came across a big sign that said PITA!  And the lofting scent of fresh-baked goodness drew me right in to order a leg of lamb sandwich (with onion, tomato & homemade lemon-mine mayonnaise in fresh pita) and a side order of grape leaves.  Both were fantastic and the sandwich was still warm after 20+ minutes before I could eat it.  Great food for a good price! Who can say no to that?!?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.376190476; Sentiment_Subjectivity (from 0 to 1): 0.470634921 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One day, around lunchtime, I found myself in the middle of Chinatown doing errands when I suddenly got a hankering for some wonton soup.  Some hot, steamy wontons lying gently on a bed of noodles in gentle broth.  And that's when I spotted New Wonton Garden where, I assume, their specialty would be, well, wontons.  So I got the #1 Shanghai noodles with wontons and waited my 5 minutes for my $5 lunch.  And then rushed back to the subway to get back to my desk.  There I discovered that the soup was still hot (yay!) but also the wontons were HUGE!  These are not the wontons of my childhood!  Still, although the skin was thicker than anticipated, it was stuffed with yummy goodness and it was a VERY satisfying meal.  So, bottomline, generous portions and fast service makes this a 4-star restaurant.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.214488636; Sentiment_Subjectivity (from 0 to 1): 0.562878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On a hot, summer day, my friend and I decided that it would be fun to have a real lunch.  So we met up at Fresh Salt because I've heard so many good reviews about the place.  And the reviews were correct!  The sandwiches were yummy, the soup was delicious (or so my friend tells me), and the mac & cheese (which I really was craving) was GREAT!  In fact, if you don't go to Fresh Salt and order the mac & cheese, I would be sad.  But that's your choice.  But long story short, the staff seemed to be a bit underhanded (it was slow to get our check and to order) but our waitress might have had an off day.  All is forgiven.  Give them a try when you're in the Seaport area.  'Cause if you're going to Uno's, well...that's just wrong.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.238333333; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In need of good food and simple dining?  Then Cafe Condesa is an excellent option in the West Village where the location just screams intimate and cozy.  From the table to the food presentation, my experience last night was a good one.  My friend sampled the Pan Seared Salmon (with asparagus, mashed potatoes, tomatillo-avocado salsa and pico de gallo) while I tasted the Albondigas (Mexican Meatballs on a bed of rice and greens).  The portions were sizable, the food was well-prepared, and honestly, the ambiance was so nice I wanted to order bottles of wine and settle in for the night there.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.36; Sentiment_Subjectivity (from 0 to 1): 0.587380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was a young college student, someone introduced me to a good crepes and it changed me.  I used to view crepes as the french verious of a burrito or wrap but that sugar and lemon crepe was so much more.  No.  Correction.  It was much, much more.   At Crepes du Nord, which is connected to the restaurant Smorgas Chef Wall Street, they take the crepes to the basics and then build it up with a Scandinavian flair.  Stephanie L. didn't like the herring crepe but I adored it! It was unique with the cucumber dill salad and the lightness of the crepes.  Honestly, it was worth the wait.  Oh, did I mention this was a small sit-down only joint?  Yup.  So go as a small group of 3 or 4, grab a lingonberry soda, and get a crepe! Both savory and sweet!  And have a GREAT lunch!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.313461538; Sentiment_Subjectivity (from 0 to 1): 0.553846154 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 today, after Neener neener neener C. started this thread about "Cold Weather, Hot Noodles," the conversation got me so hungry, there was only one solution.  Run out and get a hot, steaming bowl of ramen!  And after Jenifer D.'s raves about Minca, there was really only one option...MINCA!  For today, I chose one of the Special Ramen....Toroniku Ramen! (Slow cooked pork with soft cabbage).  So good, that I got some of the broth on myself from lifting the bowl up to my smacking lips.  The pork was perfect (not too brittle and not too hard), and the noodles were perfect for appeasing my appetite.  A big bowl of ramen from Minca today was worth the 10 blocks sprint to and fro the office. My only complaint...the broth was a bit too salty.  4.5 stars! ********************************************* (edited 10/17) So, I went back to Minca today for a second try today with some fellow Yelpers and this time Minca got a downgrade.  The soup was warm, the meat was cold (although the soup did help warm it up a bit) and the noodles were a bit undercooked (in my opinion).  Not to say that the meal was completely dreadful.  Yes, I am saying goodbye to Minca.  3 stars.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.119869615; Sentiment_Subjectivity (from 0 to 1): 0.645861678 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not going to lie...I heard that Grimaldi's is the best pizza in NY.  Sad to say, I'm a bit disappointed.  Yes, it was good pizza but the best?  I'm not so sure.  Not to say that my friend and I didn't finish the entire pie of Mozzarella and Basil (medium sized), but somehow I was left unsatisfied at the end.  Maybe it was an off-night?  Or maybe my search for the best slice continues.  Either way, if you've never been to Grimaldi's and see no line outside, go and give it a whirl.  Prove me wrong.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.222727273; Sentiment_Subjectivity (from 0 to 1): 0.519444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think it's pretty safe to say that I've drank my way through a significant bulk of the EO cocktail list.  And guess what?  They are alllll delicious.  I swung by with friends for dinner recently and everything was unbelievable.  The elk loin...amazing.  Peasant?  Amazing.  Sweet breads?  Break my heart...so good!  And the bacon-wrapped lamb chops?  Can I take them home every night and cuddle?   Go.  The place is small but it's totally worth the experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.340909091; Sentiment_Subjectivity (from 0 to 1): 0.661363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I must confess, I'm always excited to get a lobster roll that is good and Luke's has a reputation to make them simple but good. And so when I saw a FiDi location, I was sold. On my way back to the office, I picked up a Lobster Schooner which is a $15 Lobster roll plus chips and soda for $17 (or after tip, $18.50). And like all the other reviewers so far, the lobster roll is lightly buttered, well seasoned and small. But it's lobster! I'm also a fan of the shrimp roll (which I didn't get this time) but for $8 (or in a combo for $10), I might make this place my "light lunch" spots.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.226136364; Sentiment_Subjectivity (from 0 to 1): 0.521103896 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On a casual, but chilly Tuesday evening in December, three young, hip Yelpers decided that they deserved a young, hip (and delicious) meal.  The destination: Empanada Mama on 9th and 51st St.  Agent A arrived first promptly at 7:30pm while Agent Y and Agent M appeared shortly after.  After a fairly short wait for an available table, the menus arrived and the decision-making process began.  Scene: long room with only a few tables that seat between 2 and 4 people as well as a counter area for solo diners.  Casual mood lighting, popish ethnic music and colorful paintings grace the venue.  There are candles as far as the eye can see.  Good friends, good conversation, and good food were definitely in the foreseeable future. Food:  Empanada Mama makes freshly baked empanadas that are not only healthy but taste fresh.  As a starter, we sampled the guacamole & plantain chips that were unbelievably good.  No one should ever come here without ordering this at least once.  As for the empanadas, I personally sampled the Brazil (ground beef, olives and onions) and the Mambo Italian Sausage (with mozzarella & Italian seasonings).  Served in individualized paper bags cradled in a woven basket, each empanada I sampled was not only deliciously moist and tender, but very flavorful.  The crust was soft and firm, and the filling was hot and savory.   Overall: if you want a simple but delicious meal before or after you hit the bars of Hell's Kitchen, Empanada Mama is a safe bet.  That is, if you can get a seat (and can get past the fact that not everything on the menu is traditional ethnic).  Oh, and the sangria looks very good (just a tip!).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.180952381; Sentiment_Subjectivity (from 0 to 1): 0.534019274 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Every-so-often, a restaurant comes onto the scene where it is universally adored by the creme-a-la-creme of Yelp -- aka, my friends.  Enter Traif.  This is a restaurant named after the derivative of the Hebrew word "teref" which means torn and is now commonly used to refer to anything non-kosher.  How could I NOT love this food?   I arrived shortly after opening because my primary goal was to snag the two seats right in front of the chef.  In most cases, if I could, I love to watch the chef prepare food. The detail, the meticulous work, and, let's be honest, the smells from an open kitchen is one of the guiltiest pleasures when it comes to eating. I started the meal with one of their specialty cocktails, if I remember correctly, "Rude Little Pig" (Lapsong-infused tequila, cointreau, pomegranate bacon rim) which was strong but the idea of a bacon rim always win. For entrees (that was shared), we started with a refreshing fig, goat cheese, walnut spring salad (to open the palate) followed promptly with the "Thai Spicy-Sweet Chili-Glazed Calamari". Amazing! Get it!  The calamari was tender and wonderfully glazed. Next came the "Sautéed Sweetbreads, artichokes, asparagus, roast mushrooms". This dish was almost solely for me because I love offal and I rarely (and there is proof!) turn down sweetbreads.  It was delicious and balanced well with the vegetables. Fourth dish was the "Seared Scallops, Creamed Corn, Sage-Pistachio Brown Butter" which, once again, I need to say GET IT!  This dish was perfect.  The warm scallops lovingly seared and then laid gently upon a soft, cozy bed of creamed corn then drizzled with the sage-pistachio brown butter. HOW! HOW! HOW can I not have dreams about this for days to come?!? And then...the "Strawberry-Cinnamon Glazed Baby Back Ribs" Yes.  I'm talking about fall-off-the-bone succulent baby-back ribs that was so flavorful, I had to hold down my friend and shove a strawberry-cinnamon explosion into his mouth.  Was it worth it? You bet! Of course, there is always room for dessert and the hot "Strawberry cobbler with passion fruit cream" was the great end to the meal where spoons fought in a white ramekin showdown shoving hot fresh strawberries cradled in passion fruit foam into hungry mouths.  Thankfully, the staff at Traif noticed the burn marks because with the check came pieces of "golden pineapple drizzled with pomegranate molasses and mint". By the way, did I mention how great the staff is? The chef conversed intermittent with us as did everyone behind the bar.   Friendly, attentive, fantastic! Next time, I want to try: ~ Bacon-wrapped blue cheese-stuffed dates, spinach a la catalane ~ Duck confit lettuce wraps, banana-tamarind prik ~ Stuffed corn cake, marinated rock shrimp, champagne mango ~ Braised Berkshire pork cheeks a l'ancienne, polenta, prune jus ~ Bacon doughnuts, dulche de leche, coffee ice cream Do I recommend Traif? You make the call.  Seriously, give me a call.  I'll be there.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.259765493; Sentiment_Subjectivity (from 0 to 1): 0.556670044 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yum!  Yum!  Yum!   Let's be serious.  If you want to get to me, you gotta get through my stomach.  And if you want to get to my stomach, know that I love all these pasta.  You with me so far?  Okay.   So Udon is pasta (rice flour based but still...) and I love it!  And Udon West does it right (in various combinations varying from Beef and Kimchi Udon to simple Mountain Vegetables Udon).  This time, I opted for cold Udon noodles with bonito flakes, mushrooms, etc. in a cold fish broth.  The portion was a bit small for me (I was hungry!) but it was yummy either way.  The gouza is a must order as well as the potato salad.  And please note...this place is BYOB so if you're into that, it's a very good thing to know. So, what have we learned besides how to get to know me better....hmmm....Udon West is a great option if you like Japanese food and are near Grand Central/Midtown East.  Go!  Go!  Go! Oh, and the decor is cute.  (It's a plus for me!); Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.210379027; Sentiment_Subjectivity (from 0 to 1): 0.65232493 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.  Bad service.   So I joined a group of friends here for dinner and I couldn't believe how big the restaurant is.  Massive!  Then again, this is Queens.  Either way, the food is great.  Spicy (if you can't handle spice, make sure you tell your server!!!) but very tasty.  Ambiance, cute.  Not a single complaint about the food. Service, on the other hand, was horrible.  We asked not once, or twice for takeaway boxes so that we can wrap up our leftovers.  We had to ask four times!  And the kicker, at least for me, was "No dessert? Do you just want the check then?" even though she gave us the check earlier and we paid it already.   My recommendation, come for the food because that should be your primary intent.  But don't expect too much from the service.  Or at least, don't sit outside 'cause I think it's here that service is lacking.  2 stars..gone!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.060404266; Sentiment_Subjectivity (from 0 to 1): 0.508046737 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hear "chicken and waffles" there is no place I can think of than Amy Ruth's.  So when a group of friends said they wanted to go, I didn't hesitate to say "YES!".  And it was good!  I got the Rev. Al Sharpton (chicken and waffles) with white meat, a side of mac & cheese, and the Sunrise (three-tiered fruit juice - delicious!).  And now, I want to go back again for some smothered chicken and waffles with gravy or some of the other yummy treats!  By the way, you would think chicken and waffles is very greasy and fattening but the chicken wasn't.  Instead, it was great and well-seasoned.  Dang it!  I can't wait to go back!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.017788462; Sentiment_Subjectivity (from 0 to 1): 0.598076923 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Phenomenal! Honestly, one of the best meals I've had in awhile (well, maybe in a week...). I started with the Northern Spy cider which was light and clean; perfect for a Monday evening. My starter, the Southern-fried chicken livers with a buttermilk-chive sauce and arugula was perfect. Honestly, just want I needed. But nothing could have prepared me (and I mean nothing could have prepared me) for the turkey pot pie (with mixed greens). DIVINE! The fragrant buttery scent as it arrived was nothing compared to the aroma the moment my fork pierced the crust and I dived into tender, moist pieces of turkey meat with carrots, celery and turnip bits. Hot and perfect for a wintery night. When another one arrived for the patrons next me, I almost caused a diversion just to get a fresh spoonful of the turkey pot pie again. Sigh. Dessert was a sticky winter pudding (hard caramel sauce and egg nog ice cream) which was the right way to end a meal. Honestly, I had such a good meal, I am surprised I didn't talk everyone's ear off on the subway ride home. Oh wait, I think I did!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.36420068; Sentiment_Subjectivity (from 0 to 1): 0.676899093 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is it that I have not reviewed Verlaine's yet?  If there is a bar to symbolize my relationship with Yelp, this is the place.  My first lychee martinis?  Verlaine's. My first massive Yelp outing not with Yelp?  Verlaine's.  My first summer of sin in NYC?  Verlaine's!  So after almost two years of not visiting, I popped in recently and found the place...well...cozy.  Like a comfy friend, Verlaine's Happy Hour specials, food, and atmosphere was just what you want a neighborhood bar to be like.  I highly recommend the $4 sangria (delicious!) and staking out at one of the tables or couches.  And then sit back and people watch.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.308055556; Sentiment_Subjectivity (from 0 to 1): 0.532222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 swung by here with a friend last weekend for brunch and we were pleasantly surprised by UVA.  It has a quiet/rustic atmosphere and the wine list is extensive.  Good food (My friend got the beet salad and I tried the rustico omelette) that was nicely prepared.  Only downside was the staff (we waited awhile to get our order taken) and the food was slow coming out.  Other than that, this is a place I wanna check out again (and hopefully try out the wine selection).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.121875; Sentiment_Subjectivity (from 0 to 1): 0.584375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: By definition, "yakitori" is a Japanese type of skewered chicken.  So you can guess, there are many different types of skwered chicken options at this phenomenal restaurant.  Situated on a side street (and away from the hustle and bustle of time square), this little restaurant is a jewel.  First, the service is wonderful and the atmosphere is cozy.  But more so, the food is unbelieveable.  You almost cannot order anything wrong here.  Actually, just writing this review is making me hungry. I highly recommend the chicken with tare sauce (a sauce made of mirin, sake, soy sauce and sugar) and the salt-grilled chicken skewers.  But pick and choose a few, try, and then order more.  You cannot do anything wrong here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.030394737; Sentiment_Subjectivity (from 0 to 1): 0.606491228 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tonight, I learned first hand that this is THE place to bump into friends.  I've been twice and both times, I've run into a familiar face.  And for that, this place has a place in my heart. Anyhow, my date and I wanted a little munch before our 8pm show and thus, thinking Thai would be good (and drinks would be good too!), we popped in.  First, the service is efficient and so is the bartender and kitchen.  The price is a bit higher than other locations but the food and the atmosphere more than makes up for it.  The spicy squid ink spaghetti was delicious and the zoad zeed was a wonderful drink to have.  But then again, I've had a weakness for salted rims for a bit (yum!) Try this place out!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.444318182; Sentiment_Subjectivity (from 0 to 1): 0.567424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 swear, I have never had a bad time here. The meat is always cardiac-tastic and the staff is always sweet as pie. Great, GREAT place to visit in Williamsburg and grab a drink or a meal. I always bring home extra because the brisket is phenomenal! And the pork ribs fall off the bone. Literally.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3125; Sentiment_Subjectivity (from 0 to 1): 0.569444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yogurt place ll - not Snack also on ....71 Sullivan Street (between Prince St & Spring St), New York, NY 10012 Why is this place so cute? I never knew yogurt could be so this good. Located in Soho this little Greek boutique is hidden way on 71 Sullivan street btw Prince and Spring. This little shop is full of all thing Greek, from cookies, baklava, spinach & cheese pies and of course homemade Greek yogurt. Originally form East Elmhurst Queens they have branched out to Manhattan severing locals and tourist alike. I got a cup of creamy rich 2% cows milk yogurt for $2.50 that was accompanied with apricot syrup and slivered almonds but one has choices with a verity of syrups and toppings. Also with my little afternoon snack I got couple of almond cookies for $.50 (each), apricot cookie $1 (each) and a spinach & cheese pie for $2.50. All perfect for making your rounds on a nice cool fall afternoon. RANTS & RAVES: All is homemade goodies, not really full meals however the yogurt with granola would make a great breakfast that is full and healthy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.256609848; Sentiment_Subjectivity (from 0 to 1): 0.546893939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can't believe that nobody reviewed Veronica's Kitchen from Yelp, Chow, or New Times. I hope that my humble little review does her justice. I found about Veronica's Kitchen from streetvendor.org, they are an organization that "... works to correct the social and economic injustice faced by these hardworking entrepreneurs. Reaching out to vendors on the street, we hold clinics to educate vendors about their legal rights." An awesome - awesome NGO, go check it out! But I digress back to Veronica's Kitchen, which has been nominated as one of the  top 5 vendor for the 2007 Vendy Awards. I was very curious about Veronica's and since it is walking distance from my apartment I gave it try. Once I arrived at my destination it was very quiet not so much hustle or bustle just a lot of prep before the lunch crowd, so I was in luck. The street cart seemed like a family affair with her son   cooking away and Veronica prepping fresh veggies by his side. The menu is as simple as can be on one side you see the main choices of meats, which are stew chicken, curry chicken, jerk chicken, bbq chicken, fried fish, oxtail, and curry goat.  The sides consist of white rice, mac & cheese, peas & rice, mixed veggies, toss salad, green beans, candied yams, potato salad, collard greens, and fry plantains. Is your mouth water yet, b/c mine is just reliving what is now my new addiction. One can order small meal ($5) or large meal ($7) both come with 2 sides. I asked what was the most popular and the son suggested the jerk chicken w/side of mac &cheese and fried plantains. All went into a nice container with gravy on top, which I think came from the oxtail stew. The combination of the sweet supple plantains mixed with the hot and spicy jerk chicken was beyond my expectations. The chicken was tender, seemed like it was cooked with a dry rub and yet it was moist almost stew like, the mac and cheese was great - even better with the gravy smothering it. It was one of the best meals of 2007 so far but really I don't think any where else will compare now, I know I say a lot of places are great but since I have been reviewing for CAF  this is by far the best meal this is including meals I have consumed that are not in the cheapass range. With that said check this place out it is well worth your dough and it's been long over due for Veronica's Kitchen from what she tells me, she has been around for 3 years and counting. Rants Rave! -very friendly, they even let me inside the cart to take some pictures. -make their own hot sauce. Top 5 Nominees for the 2007 Vendy Awards. : NY Dosas, at West 4th Street near Sullivan Street, South side of Washington Square Park, Kwik Meal, on 6th Avenue and 45th Street, Super Tacos, on 96th Street & Broadway (we've been waiting for this one to hit the list), King Falafel and Schwarma, at 30th Street and Broadway in Queens, and Veronica's Kitchen on Front Street and Pine Street.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.157730179; Sentiment_Subjectivity (from 0 to 1): 0.56703343 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: New Wonton Garden offers eaters great noodle soups that range from Western friendly to traditional. Kenneth and I went on a chilly night couple of days back and found our self immersed into our bowls. One of our favorite is the beef stew and wontons with noodles the best that Chinatown can offer, so Kenneth stuck to what he knows best and got the usual, I on the hand went for a twist and got my self a sweet and sour sliced pork with wonton and noodles. This was a bad, no wait a terrible idea! I thought I would get nice tender slices of deep fried pork with sweet and sour sauce a mist of wonton and noodles. I was mistaken, instead a bowl with a very sweet goopy sauce with thinly sliced pork (boiled) on top of some noodles and cold wontons, and soup came on the side. The flavor was very sweet and not sour at all, and the pork had no flavor what so ever. It was so bad I had to wash, if you will, away the sauce in my bowl of soup. I don't recommend this dish unless you like glop of goop on your noodles that look like, sadly orange barf. Sorry folks this is the only way I can describe this mess of a dish. RANTS & RAVES: Sweet and Sour Chicken, Wonton with Noodles on the other hand do come out deep fried with a sweet and sour sauce also with soup on the side. This restaurant is very small do not seat next to the bathroom, it was like a revolving door one person after another, very unappetizing when you can hear someone expressing their relief as they pee. Not pretty at all!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.019878247; Sentiment_Subjectivity (from 0 to 1): 0.559473304 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy home cooked French bistro is how I would describe Tartine, from the tiny dinning area with little pictures hung with care to the little tables all cramped indoors, it seems to me like a little old lady opened her home to people to eat in. Perfect place for Sunday brunch but when I went to Tartine's it was pretty late in the afternoon right after the sunset so our pictures are not as good as I had hope. But don't let the pictures fool ya, all 3 dishes we ordered were great and the added bonus was BYOB. This time I went for something I have yet to try in my life, escargot ($9) being one of them, I got that as my main entre, Sharlene got the sausage cooked in mustard vinaigrette with roasted potatoes ($9) and as our starters fig salad ($7). The tiny little snails were great they were stewed in butter with minced parsley and garlic that were to die for and could have eaten more of; I think my order only came with 6-7 (no wonder those French women stay so slim) and the fig salad were more bountiful but only came with 3 figs only, it was ripe and very sweet on a bed a frise and balsamic vinaigrette. A little over dressed but not bad at all, and Sharlene's pork sausage was great never had them cooked like this before. I guess it is typical French, and the feeling of dinning outdoors while the cool Fall air wafting by us with the hint of smoky aroma of our red wine really warm me up. more like 3.5 stars - the food is good, but not Amazingly good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.197234694; Sentiment_Subjectivity (from 0 to 1): 0.563734694 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Taim means delicious in Hebrew, but by cheapass definition I was not sure if it would meet up to our standards. Over the past couple of months I have been reading many good things about this tiny little shop and so had to find out for myself if the rumors where true. I got the "Green" falafel, which is a traditional falafel with parsley, cilantro, mint and pickled cabbage - it was scrumptious. Each bite was perfect, a little bite of the fried falafel with tahini sauce, hummus accompanied by pickled cabbage nestled in homemade soft and fluffy pita bread was the most perfect falafel bite I've ever had. Well-worth the $5 price tag. The staff and owners couldn't be nicer; they are all so accommodating and helpful especially if you're new to Middle Eastern cuisine. Also all of their food is vegan except several items on the menu. 4 stars only because I am totally a cheapAss! but taste wise it is the best!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.237973485; Sentiment_Subjectivity (from 0 to 1): 0.587226431 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nyonya or Peranakan cuisine combines Chinese, Malay and other influences around the region. According to Wikipedia: "Peranakans are descendants of early Chinese migrants who settled in Penang, Malacca and Singapore, inter-marrying with local Malays." The Nyonya cooking uses Chinese ingredients and spices used by the Malay community with wok cooking techniques. So after learning this slice of history we march towards Nyonya in Little Italy/ Chinatown. To wet our appetite, we got the Roti Canai ($2.95) as starter. It taste great but it's a bit more expensive than other Malaysian places in C-Town. (Sanur, New Malaysia and Skyway all only charges $1.95 for Roti Canai) I got the Asam Laksa ($5.95)- a sour and spicy noodles soup with fermented fish and lemon grass broth. The taste is very pungent, sweet, sour and tangy. We all agree that this is the best Asam Laksa we have had in Chinatown. Young got the Nyonya Seafood Fried Rice ($6.50). It comes with shrimp, squid and scallop. The texture of the rice is chewy and soft with great "wok" flavor, in a word really great fried rice. Matilda got the Mee Siam ($5.95)- a stir-fried rice noodle with tofu egg, shrimp & bean sprout in spicy Thai chilli sauce with ground peanut. Simple preparation yet very complex flavor.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126354545; Sentiment_Subjectivity (from 0 to 1): 0.397267532 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Despite all the good reviews on GO GO Curry I really didn't expect too much, I grew up eating Japanese curry made by my mom (the cube ones in a box), which I remember it being filling and good, yet nothing extraordinary- sorry mom. However I knew GO GO to b a good cheap eats so I gave it a try and I am happy to say I was wrong, GO GO Curry is very delicious and not like the way my mommy used to make (again sorry mom). I got the Katsu (pork) with curry walk (that is a small) for $7, a huge plate rice sliced Katsu and abundance of curry. Got to give it up for the GO GO Curry for making the Katsu crisp while maintaining the flavor and the juice of the pork, the pork really makes a difference adding a nice texture of crunchy crispy bite with the velvety smooth curry. The Curry it self was nice thick and mildly spicy, I like mine with a little kick of Sylvia's hot sauce. RANTS & RAVES: The restaurant has a fun vibe, owned by Mr. Miyamori a huge fanatic of Hideki Matsui, so you see lots of baseball memorabilia's also enjoyed the 27-7 GO GO Curry TV. I had no idea what they were saying still entertaining nonetheless. One last think for the REAL cheapasses out there, you can order #1 walk for $5 it only has curry and rice w/side of shredded cabbage.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.232161458; Sentiment_Subjectivity (from 0 to 1): 0.631510417 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The last time I posted about Thai food I was very disappointed to say the least, and thanks to all you CAF eaters I have found many new Thai restaurants to try. Sripraphai Thai Restaurant is one eater that I have heard many good things about and have wanted to try for sometime now. Yesterday I was around Woodside area in Queens New York and decided to stop by for my lunch break, I ordered many things, I think my eyes were more hungry then my belly but all things looked so good and smelled so yummy I couldn't help myself. For an appetizer I got the Shredded Green Mango w/Shrimp, Squid and Chicken ($9.50), for main entrees Pork Leg with Mustard Greens over Rice ($7.00) and Jungle Curry w/Beef mixed with Vegetables ($7.50). Sort of a lot for one girl but as you know I like to eat. The shredded green mango w/shrimp, squid and chicken was perfect with nice sweet taste of palm sugar, saltiness of fish sauce and heat from Thai chili. I thought the salad was going to be tiny; instead it was packed with Jumbo shrimp, squid and chicken- just the right combination of what Thai food is all about! The pork with mustard greens didn't just fall apart, but it literally came apart I had a hard time using a fork, and had to scoop it with the snoop, which was perfect for getting the tender meat and the yummy juice. The flavor reminded me more of Chinese dish- more soy saucey and sweeter then Thai. But all too good, I highly recommend it if you LOVE pork. And lastly the jungle curry w/beef mixed with vegetables was HOT, not temperature hot but burn you ass off PICANTE HOT. The jungle curry does not have coconut milk, instead it was full of Thai spices, Thai eggplant, bamboo shoots, slivered ginger/ galanga, lemongrass, Chinese green beans and beef. So hot must have heaps of rice to accompany with jasmine rice and when I say heaps I mean 3-4 cups per person. RANTS & RAVES: I LOVE this place and with a doubt it is the best Thai in New York, however I am saddened by the fact that it is in Woodside, let alone that now every time I go to a new Thai place it will not match up to Sripraphai. I hope they'll branch out to Manhattan, a girl can dream. Thanks again too those who emailed and commented with recommendations, we appreciate it all. Huge backyard where one can enjoy the fresh air, still unreasonably warm due to global warming so I guess enjoy while it last. Cash Only.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.191519596; Sentiment_Subjectivity (from 0 to 1): 0.526007073 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 we took our ass to Pies n Thighs on a hot and swampy midday afternoon- very appropriate for eatin some southern comfort food. Pies n Thighs Located on 351 Kent Ave, b/t 5th St and Williamsburg Bridge, is a dilapidated looking bar and behind it is the small petite size restaurant. Once you step indoors the kitchen is the right there in front of your face and a couple of stools to the left and it's pretty much it. Behind the grill/stove is couple of clammy, and greasy lookin guys and a hot young female. For 5 buck I got a chicken biscuit, and for 8 bucks Kenneth got the pulled pork box, the box comes with a side and choices range from cheese grits, collards, pinto beans, blue cheese salad, fries, mac n cheese and mashed potato. We sat outside to see all the smoke action; the sitting is more spacious for those with ass and thighs compared to the arrangement inside. When our food came I was so excited to have me some good Southern food, since it's been a good 2 years from our cross country trip. The chicken biscuit was huge, the dense and buttery biscuit drenched in honey toped with nicely seasoned chicken breast was good. It was big enough to feed a lumberjack; I really enjoyed the biscuits, who knew couple of white boys could make a delightful dreamy pastry like this. Just thinking about it makes want to trek back to Brooklyn. If that is not convincing enough for you, the pulled pork was amazingly tender and not over seasoned came in a sandwich with out fancy dressing, just some coleslaw and couple of pickles. The only disappointment was the buns they were soggy like hell! RANTS & RAVES: 1. hot boys 2. hot girl 3. great view Williamsburg Bridge 4. great southern cookin in New York; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.138823954; Sentiment_Subjectivity (from 0 to 1): 0.523487253 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Saigon Banh Mi makes sandwiches against the back wall of a jewelry shop so if your looking for some new earrings and some chow this is the place for you. I always get the pork banh mi the bread comes crusty toasty and is overstuffed with bbq pork, cucumber, picked carrots, radish with light mayonnaise & sriracha sauce. I get it spicy which means they'll put sliced jalapeno but maybe for the timid type ask for not spicy. The seating is very limited for the obvious reason of running a jewelry/sandwich shop so find a park near little Italy have a nice little picnic. We found a nice modest bench in front of Lombardi's (located 32 Spring Street between Mott St & Mulberry St), we soaked in the sun drank our lovely ice coffee with the Banh Mi, the total came to 5 bucks, cant beat it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151423576; Sentiment_Subjectivity (from 0 to 1): 0.587712288 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummy. I much prefer dinner to lunch. I've ordered take-out for lunch a few times and every single experience was sour. For some reason, the lunch crew is just not as friendly. Plus, the dinner menu is way better. Think it's worth mentioning that there are about 12 seats at this restaurant so prepared to wait if you go during a popular dining time. All in all, it's a cute little place for a relaxed bite that isn't fussy.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.186607143; Sentiment_Subjectivity (from 0 to 1): 0.411428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this restaurant! I loved everything about it- the ambience, the food, the service- it was all amazing. I ordered the tasting menu and the food was delicious. My main course was a duck breast that was absolute perfection. I loved the different varieties of breads that they had to offer as well- I almost filled myself up on bread alone! (I also loved the cart that they rolled around to serve the breads) Our server was beyond attentive and I couldn't find a flaw in the entire night. I highly recommend this restaurant for special occasions- it's top of the line all the way.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.440587302; Sentiment_Subjectivity (from 0 to 1): 0.717984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had two fantastic meals here and one really awful one. I was really torn between 2 and 3 stars but I opted for 3 because those two successful meals were so great. The food and the interior are equally awesome. I love their Greek salad and for the most part, all the food is pretty delicious. However, on one occasion, my dining companion ordered a scallop dish and the scallops had totally gone bad. We mentioned it to the waiter, who brought out the chef, who proceeded to pick up a scallop directly from our plate, eating it and declaring it totally ok. What a dick, seriously. After that I decided sayonara Pylos.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.247916667; Sentiment_Subjectivity (from 0 to 1): 0.680208333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: (More like 4.5 stars- I really wish there were half stars by the way) I really enjoyed myself here- the dinner was delicious, the ambiance was nice and the service was attentive. I had a chicken soup that was really interesting and equally tasty. The way they served it was pretty cool. They poured the broth into the bowl that already had all of the "soup contents". The croutons were my favorite part of the soup because they were still slightly crispy. My date had an angel food cake dessert that was completely overpowered by star anise so that was a bit of a bummer. Other than that, the food was really great. Excellent restaurant for a first date. Not too loud, good soft lighting and a pretty extensive wine list to make the night run a little more smoothly.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.287191358; 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: Not bad - but not as good as the Brooklyn outpost. The service was pretty sleepy, which was kind of funny because we were literally one of two tables total but it was right when the restaurant first opened so I figured it was a growing pains type of thing. The decor was a bit forced - it just doesn't have the same feel as the one in Williamsburg (which actually looks rustic). Most importantly, the food is good. It's not out-of-this-world good but it's consistent. It's a good place to grab a meal if you're shopping in the area but I wouldn't go out my way to eat Italian food there.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.313095238; Sentiment_Subjectivity (from 0 to 1): 0.542261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing bocadillos, plenty of samples, extensive selection of Spanish goods, great staff - I adore Despana. I haven't tried any of the other prepared foods but it's just because the bocadillos are so good, there's really no reason to mess with what I know. I think my favorite one is the chorizo, which is served warm and is just FANTASTIC. They use Sullivan Street Bakery's ciabatta bread and all the best ingredients, which makes the sandwiches that much more delicious. While you wait for your sammie you can walk around and sample stuff - olive oils, lomo, chorizo, tapenades, olives, cheese, etc. It's awesome. The people that work here are also always very helpful. There's none of that sigh-under-their-breath action when you ask to try your 3rd cheese. I appreciate that because I'm not the type of person to run around sampling things without any intention of buying something. I really don't have a single bad thing to say about Despana (except that I wish they had more indoor seating). If it's nice outside I like to sit on the bench and demolish my sandwich. Yum, I'm salivating just thinking about biting into a bocadillo.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.313690476; Sentiment_Subjectivity (from 0 to 1): 0.486011905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 must get the vanilla bean french toast if you go here- it is absolutely amazing. It's kind of like having creme brulee for breakfast and the portion is huge too. If you can, I recommend ordering the french toast and sharing it with someone so that you can have something sweet and something savory. I think it might be overkill to eat the entire portion of the french toast seeing as it's gigantic. I also had the open faced omelet which had gruyere, bacon and potatoes. It was good but definitely more like a fritatta since the eggs were well done. It's quite heavy but still very tasty. It reminds me of baked potato skins because the potato in it is small slices with the skin on. The service was rather spotty but it didn't bother me much because I was busy scarfing the food down. I had to ask for water and coffee re-fills and they just weren't very attentive. It seemed as if the restaurant was full of patrons but there weren't a lot of servers to be found. The food was pretty solid though so I'll probably be back to try lunch or dinner.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.189292929; Sentiment_Subjectivity (from 0 to 1): 0.464267677 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'll admit that the decor and the *feel* of Moto is what really draws me in. The food is good but the decor is awesome. It feels like you're in some underground bar circa 1943 and when the subway rumbles up above you, it helps to steep you even further in the warmth of the restaurant. It's dark inside and their are quirky little furnishings all over. They even have live music. I love that it's the size of a small apartment and they have live music. So so cool. The food? The food is pretty damn good too. I'm a big fan of their steamed artichoke. It's done perfectly - nice and tender, so juicy that when you bite into the it, the juice/broth always runs down my wrists and arms. The aioli that accompanies it is yummy too. I've had a few of the mains and I have to say that I prefer the starters, in general (the lentil salad is also great). One of the times I ordered the mussels they were quite shriveled up and I felt like it was because they weren't the highest quality of the freshest ever. I think it might best to order stuff other than seafood. The chicken is, well, chicken-y. I'd say it's a little on the dry side but still good. While the starters are good, they pale in comparison to the date cake. Wow. I'd say it's top ten favorite desserts I've ever eaten. Yes, it's that good. In short, go to Moto for the vibe, ambiance, starters, booze (beer and wine only) and the cake.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.208069585; Sentiment_Subjectivity (from 0 to 1): 0.549830247 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 first time I came here, I was really unimpressed. I might have even gotten in a slight argument with the manager and chef. This last time though, all my bad feelings vanished and I really enjoyed myself. The first visit involved me ordering a french dip sammie and being upset when it was just a baguette with a few slices of "filet mignon" (supposedly). I mean, I guess I shouldn't have ordered it in the first place because the idea of stuffing sliced up filet mignon in a sandwich just seems silly. As long as I've ever known, french dips are made up of thinly sliced roast beef. I think I would've been OK with it being filet but sadly, the steak was REALLY REALLY CHEWY, almost inedible. I actually couldn't even cut through it with a steak knife. When I said something to the manager the chef came out and almost yelled, "Well that's the way it's SUPPOSED to be. Maybe you should've gotten something else." The manager asked me if I wanted something else and I was so angry that the chef came and got in my face that I sat there picking at my friend's fries for the rest of the evening. This last time though everything was heavenly. We started out with a dozen oysters - I don't remember what the oysters were but they all tasted very fresh which is the most important thing. Then we moved on to the lollipop chicken wings which were freaking delicious. They were basically deconstructed fancy hot wings with a nice creamy blue cheese dip. Super rich but a nice little app. For my entree I had a fish dish of some sort. I can't remember exactly what it was but I remember that it was cooked perfectly and was a huge portion. I've never ordered the fried chicken but both times I've gone a friend has ordered it - fantastic! The spicy honey is a really wonderful addition. Now that the weather's nice (well, nice-ish if you don't count this June gloom) the back garden is open and it's absolutely lovely. It's a great place for a date too because it's quiet and romantic since the lighting is so soft. I can't wait to go back; I'll just make sure to not order the so-called french dip ;); Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.147083333; Sentiment_Subjectivity (from 0 to 1): 0.552911325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had brunch here and thoroughly enjoyed it. I had the poached eggs w/ cheese grits and the greek yogurt w/ stewed plums and honey. Both were delicious but I think that the greek yogurt had the edge between the two. I was glad that I had something savory and sweet though because I could see myself getting sick of the yogurt if I had the entire serving (that's just me though). It feels like you're in a big house or cabin in West Virginia. Well that and the big house is owned by a big burly man who likes to hunt and stuff his dead animals. I don't normally like taxidermy but I was a big fan of the decor. My only complaint was that our waittress was a bit of an airhead. She just couldn't quite get it together. Then again, I was starving so I was probably on edge. The bartender and the host were really nice though so that made up for it.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.11092437; Sentiment_Subjectivity (from 0 to 1): 0.49894958 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 choice for: fast cheap drunk late-night falafel.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is hands down one of the most overrated pizza joints in the city. There's ALWAYS a line. The funny thing about New Yorkers or NY in general is that if there's a line, people will join in just because they figure it's gotta be something good. In this case, I think it's a mistake. I've been here on 3 occasions and all of them were disappointing. The pizza is super duper greasy. I've had the margarita and the spinach & artichoke slices. The margarita has a pretty mediocre cheese on it and not a whole lot of flavor. The spinach & artichoke pizza is basically pizza dough with spinach & artichoke dip on it. It is incredibly rich and creamy. It always gives me an out-of-this-world stomach ache and it's absolutely not worth it. The pizza has a cardboard like feel to it. The crust is flavorless. It's nice that it holds up when you pick it up to take a bite but when the dough has no flavor, what's the point? Also, the slices are a bit on the more expensive side. They are quite large but it's $3.50 for the margarita and $4 for the spinach & artichoke. It's not worth it. Trust me. The guys that work here are kind of dickheads sometimes too. In addition to that, I've seen them wipe sweat off their foreheads and touch their hair and then touch the pizza. Nasty! No more Artichoke Basille's for me.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.052544149; Sentiment_Subjectivity (from 0 to 1): 0.623270116 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 almost didn't want to review this place. I don't want there to be a wait when I go. Selfish, I know. It's a tiny place but it has a nice ambiance to it. Everyone that works here is extremely personable and friendly. (I'm just a little worried that they think I'm a nutjob because I always end up drinking ridiculous amounts of beer when I'm here). I always get something with sausages - I really like the bratwurst and sauerkraut, the emmentaler sausage is great, spaetzle is rich and delicious, dumplings are perfect, cabbage is buttery and the liver appetizer is absolutely amazing. The only things I'm not a huge fan of are the desserts and the weibwurst/weisswurst. However, the weibwurst thing might just be that I don't like it, period. Side note, weibwurst is "a traditional Bavarian sausage made from very finely minced veal and fresh pork bacon." It's white/cream colored too, which is, well, different. Great place for a quiet-ish dinner - but again, better for just a couple people and not for groups. Sausage and beer - what else could you want? P.S. Yes, agreed with Andrew N. It's Austrian, not German.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.261174242; Sentiment_Subjectivity (from 0 to 1): 0.715909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hate to say it but my last experience at the Ssam Bar makes me not want to go back again. Let me preface this by saying that this place used to be my favorite go-to restaurant in all of New York. I always knew I'd get to try something different and that it'd be good. I don't have that same confidence anymore. First of all, they introduced a cocktails area at the entrance-side of the long bar. All night long there was this overachiever bartender shaking his drinks as if his life depended on it. Literally, with all the force in his sad little body. I wanted to kill myself about 5 mins into the meal. You do NOT want to sit anywhere near him. The restaurant is loud enough as it is. On top of trying to push the overpriced cocktails, which are detailed, along with a wine list in a crappily designed Moleskin journal. They literally just cut out the printed sheets and glued them into the Moleskin randomly. Really? Poor effort. There was a bottle of Chateau Mussar which I've gotten at Terroir just about 2 blocks away - priced at $140. The same bottle (same vintage) at Terroir is just $100. That's freaking ridiculous. I always liked that Momofuku Ssam Bar didn't push booze but that seems to be their new agenda. It makes me sad because I think that they used to focus on food only and now they're trying to cash in with booze and it shows. The food was really disappointing. Sure, the pork buns are good. However, ALL of the other dishes we ordered that night were just ehhh. One of the dishes was so salty, I literally drank about 4 glasses of water with it - I forget what it was but it was the XO sauce that did it. Last time I checked, XO sauce is supposed to be salty but it's not supposed to give you high blood pressure from a half teaspoon of the stuff. I was so shocked and really more bummed than anything. What happened to the old Ssam Bar? The service was crappy too. They had this I-don't-care-what-you-think attitude because Momofuku has such a good reputation. It's almost like, hey, if you don't like it, someone else does! R.I.P. to the old, way way way better Momofuku Ssam Bar. I'm sorry you guys got greedy and are now making food that simply isn't as good. It makes me really sad. I used to have such a crush on you.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.048755165; Sentiment_Subjectivity (from 0 to 1): 0.549348026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place has a really nice cozy feel to it. It feels very wintery when you're inside because it's dark and lit very warmly. Definitely a good choice for a date. The food is very good - they don't have too many options but they seem to change at least 1 or 2 of the items daily - like Diner next door. The spaetzle is awesome and so is the cauliflower gratin. I think it may have a pound of butter and cheese in it. It's great for dipping bread in too. Definitely the best place to get oysters in Williamsburg - it's just that most of the menu is made up of heavy dishes so oysters don't seem to go with that theme all that well. (On the other hand, if you're jonesing for oysters, you could just get a dozen and maybe get appetizers and what not). Servers are pretty nice - they're the standard Wburg hipster types - just like next door at Diner. My only gripe is that the music is usually playing really loud (God, when did I become such a grandma?) but besides that, it's a great spot for a reliably good meal.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.27537037; Sentiment_Subjectivity (from 0 to 1): 0.539074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a lovely meal here for my birthday. I thoroughly enjoyed everything but a few things stood out more than others. I wouldn't say it was entirely flawless in terms of the food but all in all, it was very good. I loved that the bread was served with caponata, marscarpone butter and EVOO. I could live on bread alone (it's the little things that make me happy in restaurants sometimes). The agnolotti was good but not great - after hearing so much about it, I was expecting it to be mind blowing. I know this is a bad sign, but the best dish of the evening was an appetizer - it's just that I kinda forgot what it was. Anyway, Scarpetta is a good restaurant for a nice, fancy Italian meal, especially if you're trying to impress.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.355729665; Sentiment_Subjectivity (from 0 to 1): 0.618245614 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Barrio Chino is pretty yummy but it can be such a pain in the a#$ to get a table. It's nice that they take your cell phone number down (and they really will call you unlike a lot of other places that take numbers). It's not really a place where you can just sorta hang out by the bar until your table is ready - there isn't a square inch of spare space in here. They have my favorite fresh grapefruit margaritas here. I always ask for them to be less sweet than normal and they're amazing. Sweet margaritas tend to give me killer hangovers so asking for them less sweet always seems to help. I always order the enchiladas - green sauce. Mole is usually too sweet for me (I know you're sensing a pattern here but I actually love desserts!) The guac is good and the tacos aren't a bad decisions either. Never disappointed in the food but often sad about the wait. Oh and also, it is freaking LOUD in here. A lot of people jammed into a small space with relatively high walls, I guess it shouldn't be all that surprising.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.138203704; Sentiment_Subjectivity (from 0 to 1): 0.561796296 [/INST] Not Spam</s>