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: A french classic, both as bakery and restaurant. Just as good for brunch as Diner, and classic timed environment, Balthazar has all you would expect from a classy bistro. Highly recommended.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.215555556; Sentiment_Subjectivity (from 0 to 1): 0.395555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 blame the fact the restaurant poorly chose the include a mandatory 20 percent gratuity to the tab of everyone check because it was Valentine's Day. Instead of decent food, and good prices, served by friendly knowledgeable staff, we received terrible service and mediocre food. At one point they couldn't find our waitress during a point where all her table were looking for her. I can't say I would even give them another shot... and I love me some latin food!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): -0.004761905; Sentiment_Subjectivity (from 0 to 1): 0.70952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sure what all the fuss is about here. And I gave it a few tries!! Haha. When I moved right down the street from the queens legend I was so excited to try it out. I was expecting really good burgers, and other classic american fare. I tired the burger my first go. It was way over cooked, cheap meat (you can tell it was frozen cause it had very little flavor and was slimy). The fries were undercooked and thus not so good. My second try was also a disappointment, this time going for a wrap as someone suggested here. Still pretty bad, especially for the high prices (for a diner anyway). All these people who say this is your favorite dinner in the neighborhood... I wonder if it's for the atmosphere, which is admittedly great, or the bland food. If you want good diner food head over to the Bel Air Diner on Broadway and 21st.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.092228101; Sentiment_Subjectivity (from 0 to 1): 0.525129336 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, simply one of the best soup dumplings in manhattan, among many other strong dishes. They get you in and out fast, so don't expect a place to sit and relax, but the quality and depth of flavor here is worth it. Speaking of price, extremely reasonable! You'll get more food then you expect so don't over order... although I am a shameless doggy bagger.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.315833333; Sentiment_Subjectivity (from 0 to 1): 0.506547619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pie! Each ingredient is the best you can find, resulting in one of (if the not) the best pies in NYC. Just be prepared, these guys (and everyone else) know what they have here. It ain't cheap, and it sure ain't fast. But it sure is good eats!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.653125; Sentiment_Subjectivity (from 0 to 1): 0.647222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 each item on a menu only consists of a handful of ingredients and sometimes less, the quality and selection of those ingredients becomes most important. Without a true understanding of the sublteties of flavors (for example the difference in flavor between pecorino and parmesan), you may not fully appreciate how good this place really is. Regardless, this place is not to be walked past... you can't pick a bad panino to start with, so just give it a try! I promise you'll love it.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.135833333; Sentiment_Subjectivity (from 0 to 1): 0.553333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Im almost afraid to review this gem because I don't want too many people to know about it! But I'm pretty sure it's a little later for that, as I frequently go to Pepe only to be disappointed that this place is full (all 4 tables) and there is no where to sit and eat. Pepe Rosso does the impossible: serving amazing italian food, for decent prices, in SoHo. As someone who works in the neighborhood, I am always looking for something to eat that is reasonably priced. After years of trying places I have only found a small few that fit that description. I have to recommend you stick with the specials as they usually seem to be a good introduction to the quality of food here. The being said, the good deals are all to be found on the regular menu. It's to notice how awesome their panini are when the menu is so crowded with amazing pasta dishes, but make sure you try them too. Nothing here will disappoint you, as long as can get in the door.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.138425926; Sentiment_Subjectivity (from 0 to 1): 0.598939538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place. Its the perfect little place to come for lunch and also dinner. The food is consistently good and comes out ultra fast.  The only real complaint is that the service can sometimes be a little abrupt - but whatever this is NYC.  Must haves - Lamb Sandwich, Butter Bean Salad, Saganaki and Mezze Plate.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.161111111; Sentiment_Subjectivity (from 0 to 1): 0.677777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delivery from this place is always such a freaken let down.  I dont understand how the quality of food can change so dramaticaly from dining in.  Roti Canai is super good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.219444444; Sentiment_Subjectivity (from 0 to 1): 0.513888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack has become my new favorite lunch spot in SoHo. My favorite things to order are the vegetarian souvlaki (love the butter beans) and spinach pie (which comes with mezze or Greek salad). It is only a 5 minute wait for take out usually and the service is great. The food has always been very tasty and as a someone with a big appetite, I really appreciate the large portions. Also, the lemonade and baklava are delicious as well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.292357642; Sentiment_Subjectivity (from 0 to 1): 0.544855145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: feta mezze with warm pita and tomatoes. perfect summer food!  light and delicious and simple. followed by a bite of my lunchmates butter bean salad - also very, very tasty. then i had the (drum roll please) lamb sandwich.  the place is very tiny, as has been mentioned, but the lamb sandwich would make it worth the wait!  we were seated within 5 minutes, but the place seems to thin out around 2pm.  they also have take out (YAY!). you can also sit outside on a bench ... very cute. the waitress was really sweet, and she kept our water filled, although i was concentrating more on my mint lemonade.  not sweet, at all, and very basic, again.  delicious. the sandwich was ginormous, and i could've had just that, but where's the fun in that?  i don't think the prices are all that high.  for lunch this delicious, this fresh, and this fast?  i think y'all are nuts!  $8 or $9 for a huge lamb sandwich?  not that crucial.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.344583333; Sentiment_Subjectivity (from 0 to 1): 0.637485119 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i like these reviews calling this the salted pig.  everything i had was, indeed, pretty salty. however, the deviled eggs were delicious and nothing to be cuffing with.  i want their recipe. the burger was huge and delicious, and i loved the cheese on top.  didn't need any toppings.  about halfway through though, it dawned on me just how salty the cheese was, and how much water i had been drinking. the fries were delicious, although i wish there was an option for thicker ones.  i'm not real big on shoestrings. great waitstaff, especially considering the large number of us that showed up for brunch.  they sat us before all arrived, too, which was pretty awesome of them to do!  i'd be back if i lived in the hood pretty regularly, because i can't imagine anything could be bad on the menu.  we had a really good time, and the waiter was really good humored when we asked him to swipe about 5 credit cards, all with different amounts. team spotted pig.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.393537415; Sentiment_Subjectivity (from 0 to 1): 0.675658469 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: oh yes.  jimmy's diner.  probably the place that i've been disappointed by most, considering the positive reviews. their fried pickles were disgusting.  i wouldn't have fed them to ... anyone. that is what stood out the most from my visit there.  i also ordered a sandwich ... which was cold.  and the waitstaff was just one dude.  for the whole place.  granted - it's a small place, but it's not that small when you have an enormous table of demanding foreign tourists at the front of the restaurant who are nothing but rude.  i was very nice, but i was very disappointed.  sad.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.169515152; Sentiment_Subjectivity (from 0 to 1): 0.673030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nom nom nom nom.  we will be going to the one in brooklyn.  stopped here after taking some family to little italy/chinatown.  only gets 4 stars b/c of the long wait!  i wish it was bigger.   the grilled corn was, as promised, amazing.  the sandwhiches were delicious.  the bread was the best part.  the chilaquiles that i had were ok, not enough cheese!  the diablo chicken sandwich that my to-be sister in law had - nom nom nom.  my boyfriend had a sandwich with avacado and cheese that was delicious, too.  and the french fries.  it was like we'd died and gone to ol school cuba. wait for it.  eat here.  it is delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.326923077; Sentiment_Subjectivity (from 0 to 1): 0.657692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 yum.  we went here when babo down the street had an hour wait.  lord have mercy am i glad we chose perilla! i had the bass.  it was delicious.  the chardonnay was a perfect match.  we loved the breadbasket.  my man had the porchetta - it was incredible.  it was cooked so perfectly - i could only dream of cooking this way some day!  it was cooked so that the outside was the consistency of bacon, and there were mystery flavors.  it was an intense experience. he had the risotto on the side, which was also totally delicious.  the highlight of my evening was the falafel. the atmosphere was also very inviting.  i always check out bathrooms - and there's was very nicely appointed.  the soap smelled delicious.  choose either room you want thought - no signs on the doors. the waitstaff was also fantastic.  we really enjoyed ourselves!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.536732026; Sentiment_Subjectivity (from 0 to 1): 0.790522876 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: hey westville. this is a love letter to you. i never knew a vegetable plate could be so tasty. even though we had to wait for you on a weeknight, i knew why as soon as we started in our plates that i would be back. i would come back to this location, i would definitely be trying your other locations, and i would be trying your other vegetables. standouts were the potato with cheese, the sweet potato with spicy sauce, and the soy-glazed everything. ate every bite, yes i did. very fast service, too. see y'all next time, and maybe i'll save room for a sandwich or something other than your delicious veggies?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.157727273; Sentiment_Subjectivity (from 0 to 1): 0.423181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 margaritas. Perfect for a late night first date, and "is that a band playing downstairs?" I think it might've been. Only had chips and salsa, which was pretty good. I kept looking for the salt tho. Maybe next time I'll order real food and give a real review. Had a great time on my date tho! I'll be back.  Sometime.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.358333333; Sentiment_Subjectivity (from 0 to 1): 0.573611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. maybe over priced. couldve made up for it with byob, but that's not available. salad was yummy. but my pants weren't blown off.  it wasn't a bad experience, at all, i just wasn't all that impressed.  :\; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.17; Sentiment_Subjectivity (from 0 to 1): 0.813333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: pho real ... very creative interpretation of a Vietnamese bowl of soup. don't be confused - it looks like an innocent bodega. they be gettin crazy with their sandwich creations. i'll definitely try something else next time i'm in the area (i'm not totally into vietnamese soup, but you know, i like to try new things). i'd bet that they have another sandwich that is all up in my alley.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.054040404; Sentiment_Subjectivity (from 0 to 1): 0.589393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had dinner at Snack for the first time last night.It is extremely small! I mean I think there was seating for maybe 10 people. There seems to be a very brisk takeout business. Our waitress was really nice .I had the tzatziki with warm  pita bread and it was great. Also the stuffed pepper/tomato entree-also great. Other people had the mezze platter  and the grilled shrimp with ouzo in the sauce which they enjoyed.The prices are a bit high for this place. I seem to complain about this alot  in my reviews. Maybe rents are high -who knows?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235; Sentiment_Subjectivity (from 0 to 1): 0.528541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We decided on the spur of the moment to walk in without a reservation on a Saturday afternoon and have brunch. The wait was 20 minutes which was spent at the bar having a bloody mary and checking out the room and the other patrons. Thought we might be underdressed but at least in the dining area near the bar it seemed as though everyone was casual. The room is light,open and decorated with pretty items that look like the expensive things from the store. We had the pretzel dusted calamari which was delicious and light and the roasted brussels sprouts -yum. The roasted portobello mushroom salad  and the apple and pear salad were both wonderful but I'm sorry I didn't try the pizza and the salted caramel ice cream. Excellent bread and good bellinis too. Would definitely try to score a reservation for dinner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.108333333; Sentiment_Subjectivity (from 0 to 1): 0.702777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worth making a trip from the Bronx.I would make a return trip for the brussel sprout dish.That's right , the brussel sprouts are super.Also the baby jesus cake which almost every other reviewer mentioned lived up to expectations.The gnocchi with oyster mushroom sauce was great and not  heavy. Good wine list.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.343452381; Sentiment_Subjectivity (from 0 to 1): 0.476785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Enjoyed the decor  - dark paneled wood,crystal chandelier,classical music playing in the background.I felt like a monied doyenne from Fifth Avenue being served by attentive waiters..Yes there is alot of schlag on the menu but how can you not like that? Great sausage, crab salad and of course the desserts and coffee.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 just a review of the west 19th st location which I've visited twice recently. I'm not asking for much- I understand that this is a tapas restaurant which means that the plates are small and not inexpensive.I know that it tends to be crowded on a weekend and the service can be pretty  darned slow.But when you have a relatively small menu to begin with ,shouldn't you serve the entire menu ?Recently we were told that they would only serve approx one third of their regular selection and that in 15 minutes the menu would change over to just cheese and meat.So we panicked. Once again to our dismay,they ran out of some of our favorite items .Items that someone could have run over to Wholefoods to buy-heck I would have run over to get them. In the future I probably will not be so lazy and will hike over to Spring St. and hope for the best.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.085714286; Sentiment_Subjectivity (from 0 to 1): 0.473351648 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After the customary hour wait we were seated at the communal table. I don't get the idea of writing on the menu with a marker since it took the same amount of time for our waitress to go over our order as it would have for her to just write it out in the first place but whatever. Having lived in an Italian neighborhood my whole life I know a good meatball. I thought I tasted pork in the basic beef meatball and I was correct. These are good and the sauce is pretty good as well but honestly like alot of stuff here it's hyped up and not really worth an hour to a two hour wait. Cute place ,waitress was really good especially since she was mega busy. Might return again at an off time and try the ice cream sandwich.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.303333333; Sentiment_Subjectivity (from 0 to 1): 0.512222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place you might just walk past especially since there'd been a scaffold in front of the stores on this section of the street forever.I though it looked very small from the front with a few muffins and baked goods in the window - nothing special.Actually there are three different rooms and a backyard with shade .I was surprised how far back little bee goes. The Belgium waffles are the famous item on the menu so i had to try them.Very yummy with whipped cream,strawberries and strawberry sauce.There are sandwiches and salads which I will try tonight because I am coming here for dinner.There is also a wine list as well as a large variety of beer.Our waiter was extremely nice and made fun of his French pronunciation since he was originally from Cuba.Will update after dinner tonight.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.081785714; Sentiment_Subjectivity (from 0 to 1): 0.549904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a very nice,unpretentious place to stop by when I'm in the neighborhood.I've been here 5 or 6 times and have loved every panini that I've tried. Enjoyed the green bean salad with the grated cheese.Prices are reasonable.Nice atmosphere-small but not too small.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.19; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great octopus. I can't stop eating the 3 dips. The fava bean appetizer is excellent. Also love the fusilli -it is a bit spicy but I like that. The seating upstairs is cozier and the seats more comfortable than the downstairs bar area. The service has gotten much,much better since the opening last year. The waitstaff is always super nice. So many places to eat on Ditmar but I almost always eat here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.513333333; Sentiment_Subjectivity (from 0 to 1): 0.638333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After perusing great lunch options within the SOHO area I found this gem.  Since I'm a fan of lamb (more lamb!!), I was intrigued by the lamb sandwhich (officially, the lamb 1.3, I believe).   Lamb 1.3 was great. Now as for the service coordination, while not poor, was a tad odd.  Because the place is so small (very few tables, that's fine), I asked for my sandwhich to be bagged up as 'to go' (naturally, since I had to sit outside, fine with that), however, I really wanted to have a beer with the sandwhich; couldn't do that, so I just ordered and waited for food to be bagged up.  While waiting, two tables cleared (and were never re-seated during my entire stay) and I asked if I could be seated at the table, because a) I would prefer to eat inside and b) I would like to order a beer.  To which I received this puzzling response (paraphrasing): 'I'm sorry, you can't have the table since they are already bagging your food".  Hmmm...so, I was willing to spend more money, but it was like the $10 minimum clock had been reset (which there is, definitely understand why with such a small place).  So, I ate on the bench, original order, tables not filled and a further revenue stream from a customer stopped in it's tracks.  Oh well! Also, signs post for $20 minimum for credit card orders (personally, that should align with the $10 minimum for being seated inside).  Just a heads-up. I would definitely recommend.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.133871528; Sentiment_Subjectivity (from 0 to 1): 0.510625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Despana came recommended to me from a family member, and no doubt, this place, which I've seen described several times in previous reviews, is a gem. I knew what I had in mind before I even got to the shop, but I was amazed at the carefully chosen products; delicacies galore!  However, my main purpose was the picante sandwhich; I must say, it's heaven on bread.  Wow.  The chorizo; the cheese; the experience.  Delightful. Easy to get to from the subway, (well duh, what isn't in NY); they will get my business next time around!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.123148148; Sentiment_Subjectivity (from 0 to 1): 0.548148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for lunch and -- like many others -- went with the lamb sandwich. I've got to say I agree with everyone else. It's really good.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good, but not great. At Paulie Gee's I can pay $15 for a twelve inch pizza that gets to my table in about thirty minutes. Fresh ingredients and a soft crust that seemingly defies the laws of physics. Or I could pay $4 for a drink at Lulu's and get a pizza of the same size for free in under 10 minutes. The quality is roughly one notch lower, but we're talking about pizza here. Bottom line: if I want a top notch pie I'm still going to pay a little extra and go for Grimaldi's.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.13125; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 goto for brunch. Agree with all the other glowing reviews, though the quality has dropped slightly since the NY Times review.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.145833333; Sentiment_Subjectivity (from 0 to 1): 0.270833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 will be a long while before I will bring myself to order anything but the Lamb Sandwich. Once you find perfection, why fight it?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.05; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Definitely a small Italian gem. All three pasta dishes we tried were spectacular, so was the octopus with chorizo and the three desserts they were offering.  Now, the bruschetta was only toasted bread, not real bruschetta, but the spreads were spectacular, including the misleadingly simple avocado spread. Finally, a solid wine list that could use though a little more knowledge from the waitress or the services of a sommelier. In all fairness, this would be a 4.5 rating if allowed. Looking forward to visit again, perhaps sit by the kitchen bar and watch the food preparation.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.11625; Sentiment_Subjectivity (from 0 to 1): 0.495714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place if you're in the mood for Belgian beer. It has a large bar area and some dining tables in the back. Food seemed ok, but I don't think I'll go there for the food, other than what I need in order to be able to keep downing the trippels.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.209325397; Sentiment_Subjectivity (from 0 to 1): 0.432539683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fun place for brunch, even though it tries a little too much to create "mediterranean" brunch dishes. The result is certainly unique, and by no means bad, but a little heavy handed. The green eggs and lamb sausage were very good and everyone else seemed to love their dishes as well (turkish breakfast being another favorite). The pita though was overly hot and felt heated rather than freshly made and they ran out of bloody marys but that might be understandable given that we were towards the end of brunch and it may actually mean that it was freshly prepared and not premixed. If I lived near the Ft Greene area, I would surely come to Olea several other times, as it has "neighborhood treasure" written all over it, but it doesn't otherwise cross the barrier of places worth taking a trip for on their merit alone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.074891304; Sentiment_Subjectivity (from 0 to 1): 0.51513285 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went into Jack the Horse expecting nothing more than to have a couple of drinks after work and some "tavern" food to go with them. I was in for quite a nice surprise instead. While we didn't quite have a proper dinner, but rather stuck with appetizers and a burger, everything was really good and the menu promised a lot more goodness were we up for a full dinner. The appetizer macaroni and cheese was spectacular and so was the special ceviche. However, things only got better when my friend couldn't stay away from an intriguingly named cocktail: Man of Leisure. We discovered that Aaron, the bartender, is quite a mixologist and we thoroughly enjoyed a couple rounds of cocktails and a decadent goat-cheese blueberry cheesecake. A lot more over the top than my typical reviews, I know, but I love it when I am totally surprised by a place I had little knowledge of and no expectations.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.341832011; Sentiment_Subjectivity (from 0 to 1): 0.601190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In my quest for finding the best hidden gems of the neighborhood, I was bound to stumble upon Mooncake with all the good reviews it has. Started with what seems to be the universal favorite, the miso glazed salmon. It was good, but by no means revolutionary - rice was a bit too fishy, but the salad was very good. Will try a few of their other specialties in the coming weeks though - it's a good spot to pick up dinner from to enjoy at home when I'm not planning on going out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.364027778; Sentiment_Subjectivity (from 0 to 1): 0.440694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Being the 97th person that calls Taim the best falafel they've ever had won't mean much really. But, that's the plain truth and if you're looking for pure falafel (unlike Mamoun's or others where the best option ends up being the shawarma) you get your choice of Harissa (my favorite, tunisian spices),  Green (traditional, cilantro) or Red (roasted red peppers) and you can't really go wrong with either. Fries, salads, combos are just as good. Add a thai basil smoothie (or any other for that matter) and you're bound to come back for more.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.17265625; Sentiment_Subjectivity (from 0 to 1): 0.423102679 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only eaten the marinated vegetable sandwich (on multiple occasions), but it's so good, I've got to give the restaurant 4 stars. The interior of the restaurant itself is absolutely tiny, so if you can't find a seat and the weather permits, by all means take your sandwich (or other bench-appropriate meal) outside to eat on one of the benches outside.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.082142857; Sentiment_Subjectivity (from 0 to 1): 0.367857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only eaten here for brunch, but you'd be hard-pressed to find a better brunch experience in the Slope, provided the line isn't out the door. The Israeli Breakfast is wonderful, and the waitresses are attentive to every last cup of coffee. Love it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.677777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cheap and delicious. Perhaps suspiciously so. Fast service, loud interior, but not overwhelming. Shortest review yet. Sentence fragments.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.29; Sentiment_Subjectivity (from 0 to 1): 0.82 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 far my favorite banh mi restaurant with a jewelry counter in Manhattan. I've only had their vegetarian options, but they'll satisfy even the most dedicated of pork aficionados. The menu has expanded to include several over the last few months, which offers more than you'll find at most other banh mi shops. And they'll make yours on a whole wheat baguette if you request it, which I've never seen any place else. The standard vegetable sandwich is really just the pickled veggies and cucumbers you'll find on pretty much every sandwich there, but it still manages to rise above its plainness, especially if you get it spicy. And for $3.50? You can't beat that for a cheap, (relatively) filling lunch. The mixed vegetable sandwich takes it one step further by adding marinated tofu, mushrooms, and baby corn. Awesome. They've also got a killer sweet and sour soup for those cold days or when you just want something spicy and hot. I just wish they had trays or plates so you could eat in. All those plastic bags. So wasteful.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.147222222; Sentiment_Subjectivity (from 0 to 1): 0.48117284 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to try this place for ages--but wasn't hungry enough, wasn't able to score one of the few tables, etc. Finally made it in tonight, and was duly impressed. Prices seem high ($6 for a dip with one pita, $11-$15 for appetizers, $18-$20 for entrees), but portions are huuuge. Two of us split the "Pikilia" (a  mixed mezze platter) and the stuffed eggplant special. The Pikilia consists of four dips, four stuffed grape leaves, olive and lemon garnish, which comes with two fresh pitas ($15; $1 each for extra pitas). The roasted eggplant one was great--the carp roe one was a bit salty though. The stuffed eggplant dish ($19) was delicious--the eggplant was sweet and tender, and the ground beef filling was perfect. It came with a side of rice and lentils as well as a small plate of greens ($6 if you buy it on its own). Service was friendly; water refills were frequent. Alas, I was completely stuffed and had no room for dessert ($4 each). The meal was remotely ruined by a table of drunken douchebags, and since the place is small, it turned into a bit of an ordeal.   I'll be back though, if I can manage to get a table again! Tip: There's take out and delivery here if you don't want to deal with the wait ($10 minimum for the latter).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165551948; Sentiment_Subjectivity (from 0 to 1): 0.501655844 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to live in the Hell's Kitchen area, and now I find myself sorely missing Nook. Forget Island Burger--this is the home of one of the strongest contenders for tastiest meat patty on a bun. Yes, there are the amazing rosemary fries. But I swear they must deep fry the meat itself, because it's the juiciest, most flavorful ever.   The tuna tartar is also great (avocado, yum!)--you can get s similar dish as entree size too. The steak frites were okay the one time I strayed from the burger (steak was kind of tough for medium rare, but of course the fries made up for it). The Callebaut hot chocolate is rich and delicious as well. The place is tiny but I was able to get a table say 90% of the time without reservations--and if not, it's not like there's a shortage of places to eat nearby. Service is lacking as it's a one-person show...and that person often has major 'tude (or is smoking outside or talking to friends on the phone), but the food is worth the effort. Tip: Cash only. BYOB. Burger. Rosemary fries. Yum.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.266748737; Sentiment_Subjectivity (from 0 to 1): 0.600416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was only fair for such a hyped-up brunch place with lines doubling out the door by the time we left. Our server was inattentive and very aloof--he didn't even mention the fact that the brunch menu is supposed to include a cocktail/juice. The pre-meal bread, while crusty and chewy, was cold. The rosemary fries are delicious though, and the sandwiches my friends ordered were much more substantial than the three half-pieces of vanilla bean French Toast on my plate. I have a major sweet-tooth, and was majorly disappointed by the blandness of this dish--it was more like eating needles calories and cholesterol, because the taste didn't make up for what I'm sure was an artery-clogging experience. At least they didn't rush our table of four out the door, especially given the wait that was building up (we made reservations for the "early" NYC brunch time of noon). Tip: There are definitely better places in the area (even the slightly less elegant but more affordable and tastier Silver Spurs next door is a better choice), but if you must, reservations are the way to go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.170265152; Sentiment_Subjectivity (from 0 to 1): 0.550252525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crazy--this place used to be better than it is now, right? First of all, prices went up. It's $4.50 for a small now (you can also get a medium and large, but I find that here, my eyes area always bigger than my stomach), and that's not including sauces ($1 per mini container of mayo-based sauce, $2.50 for three, I believe?). They also sell poutine (a Canadian dish--fries topped with cheddar cheese, onions, and gravy), now $5 for a small and $6 for a medium. Secondly, they took away the water cooler! You used to be able to help yourself to plastic cups of free water (to better wash down the grease), and now you have to harass the staff (who are probably hoping that you'll buy bottled water or a soda instead). Thirdly, the sauces don't taste as good as they used to (more mayo, less flavor, perhaps?) and the whole thing sits harder in my stomach than I previously recall. Oof. I don't think that I'll be coming back for awhile. The decor has this weird Elizabethan white walls/dark wood thing going on, with bags of potatoes stuffed into every nook and cranny. The 2-3 tables in the back have little holes for the cones of fries, which is ingenious, but it's so crowded usually that you won't be able to sit anyway. It should be noted that if you're drunk, none of what I've written will apply to you, and you'll probably leave thinking that this place is heaven. Tip: This option isn't on the menu anymore, but you can get three sauces for only $1. The catch is that you have to ask for the sauces to be put in the cone of fries (e.g. they put some fries in, then your first sauce, then more fries, then the second sauce, etc.). The whole thing has to be eaten with a fork and can get fairly gruesome by the time you hit the bottom, but if you're cheap (like me), it's the way to go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.082103175; Sentiment_Subjectivity (from 0 to 1): 0.438662132 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wasn't going to review this place because I didn't want anyone else to know about it, but it appears that hundreds of you all already knew...so what the hell. This place is a great place for a date. Or chatting with friends. They have savory food as well as desserts, and an extensive tea and drink menu (including alcoholic beverages). My companion and I split the dessert set ($17 for three desserts, plus tea), meaning I ate the three desserts and he had the tea. The waitress explained that the chef would choose three desserts that went together, and I observed that other tables that ordered this received similar but different menus. For me, the first dessert was an amazing caramel crunch ice cream--a sweet cream with crunchy toffee-nut bits. The second was a two-parter: the black sesame creme brulee and a fluffy raspberry mouse topped with fresh whipped cream. And the third was a green tea (matcha) macaroon with a chestnut (?) filling and a black sesame shortbread cookie. Everything was delicious, and the server did an amazing job of constantly refilling and pouring the tea for us (a full-bodied green tea). I was equally impressed that they didn't rush us out after we paid. I'll definitely be back. Tip: Octopus takoyaki from Otafuku next door plus the dessert set make for a great evening meal...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.171666667; Sentiment_Subjectivity (from 0 to 1): 0.471666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you asked me even two weeks ago, I would have given this place four stars. Cheap, quasi-tasty, self-serve Korean (and Japanese) food. You could get eel over a lightly fried rice for $5! And tasty ham and cheese bap (Korean sushi) and a variety of other rolls for $3.50. Or a pork cutlet with curry sauce over rice ($5). I can confidently say that I've spent over $200 here since I discovered the place (I've filled up two of their frequent diner cards...see below for details). And then...there was yesterday. My favorite eel dish has been jacked up to $6! The excuse: they added on miso soup (which they charge $1 for if you buy it separately). Lame. And they did this to a few of the other dishes, as well. And then the ham and cheese bap has become like...hot dog and cheese. Meat downgrade = fail. And let's talk about the "noodle bar" in the back--they take ramen (not the fresh stuff, but the stuff you can buy for $1 down the street at Han Ah Reum) and put random toppings in the bowl and have the gall to charge $6! Most of the dishes are hit or miss--the japchae is kind of hard and oily, the fried squid is bland and oily, and the pajun (pancakes) are soggy and oily. Plus, the hot food buffet bar is overpriced and has mediocre food. And now...it all costs more. In short, a price increase and a quality decrease. I'm sad. Oh, and it's always crowded around mealtimes (good luck finding a seat, and be prepared to wait in line if you want to use the microwave to warm up dishes not stored in the heated cabinets). Tip: The frequent diner card--you get one stamp for each $5 you spend (they're really anal about this...if you spend $9.75, you only get one stamp). Once you fill up the card (20 stamps, or $100), they'll give you a cheap gift (such as a tiny bottle of wine/soju, a box of cookies, a Woorijip logo mug), all of which are also sold for less than $5 behind the counter. I saw that they had a Woorijip logo apron for sale ($6.99), and I asked if I could have that instead. They said yes--if I gave them TWO FULL CARDS. Bleh. I did it because I have no use for the other stuff, but now that I've finished those, I'm definitely not coming back here any time soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.062361111; Sentiment_Subjectivity (from 0 to 1): 0.519722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 expecting so much more. Perhaps it's because I'm from the SF Bay Area, and Asian food on the East Coast really doesn't compare. Anyway, the two things this place has going for it are its price ($4.50 for the basic bowls of noodles) and the boiled dumplings (8 for $2 and 12 for $3). The dumplings at this place top any of the Eldridge places--tender skins with a good chew, and flavorful, juicy fillings with a good proportion of pork to chives. However, I suspect MSG might have had a bit to do with their deliciousness. The noodles themselves were only fair--a bit bland and not much substance to them. It's entertaining to watch the chef twist and throw the dough though. By the way, definitely nothing here in the way of decor or ambiance--the entire staff was enthralled by and exclaiming over the Chinese soap opera playing on the TV in the back the whole time. Tip: Write the address down--it's really easy to walk right by the storefront as it's not clearly labeled from the outside.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.185119048; Sentiment_Subjectivity (from 0 to 1): 0.429285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yay yay yay! I love this place! And it's halfway between home and work, which means I can come here for either lunch or dinner. Yes, the place is small and the servers are always busy (they're not ignoring you--they're just busy taking care of everyone), but service is quick and the delicious, affordable food more than makes up for it. Pretty much all the entrees are $8.80 (the won tons and other random dishes are less), except for the lobster sandwich and the daily specials, which are $16. Portions are huge, which makes the prices even more appealing. I adore the steak with the cilantro-ginger sauce (the sauce is a bit salty, but it accompanies the meat and rice well). And you get your choice of brown or white rice with the entrees (no extra charge for brown rice, which is great). The octopus spinach noodles are great for a warm day--large slices of octopus on a generous mound of cold noodles with a bed of mixed greens, topped with a delicious sweet-sour tamarind sauce (it says it's spicy, but it's not...and I have a low tolerance for spicy). Also amazing: the Shanghai short ribs (they're just like kalbi at a Korean restaurant, only much much cheaper!), the white wine/vinegar pork chops, the honey soy wings appetizer (five scarily huge wings that are perfectly glazed), and the steak kabobs (onion, bell pepper, chunks of steak) with the best peanut curry sauce ever. The miso salmon is very popular--I don't really like cooked salmon, so it wasn't my favorite. Other misses for me: the Shanghai wontons (filled with pork--good but not exciting, $6, add $1 for noodles) and the pulled pork sandwich (half a pig was in there, but there wasn't anything else accompanying it, and the sauce didn't do it for me). The desserts are a bit disappointing (they're not homemade and are served from a box), but the iced teas are great (you can ask for sugar on the side since they're not pre-sweetened). The ginger iced team is very zingy, and the lychee lemon is refreshing. Tip: The sauces are the highlight here--you can ask for extra on the side, too. Also, if you like hot spicy things, make sure to get a dish of the spicy green sauce to go with your food.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2421875; Sentiment_Subjectivity (from 0 to 1): 0.533796296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 completely overrated. Two of us had to wait over 15 minutes to be seated at a table for eight--with three other parties. Tried two types of soup dumplings, both of which were bland and terrible. The one that supposedly had crab in it was especially poor, as I apparently paid extra for little strings of seafood that didn't taste like anything. The skins didn't complement the dumplings at all and were simultaneously too thick yet broke when picked up with chopsticks. We also had the cut noodles, which have long been a favorite dish of mine. The ones here were excessively doughy, and yep, flavorless. The accompanying meat was over-tenderized. Service and decor were typical Chinatown, which is fine with me. I'm probably spoiled from growing up in the SF Bay Area, but this place was terrible even by NY Chinese food standards, and I most certainly won't be back. Tip: Try Amazing 66. It's not Shanghainese cuisine, but at least it's tasty.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.108958333; Sentiment_Subjectivity (from 0 to 1): 0.561666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant makes me very glad that I'm not vegetarian. I came here for a low-key dinner on Valentine's Day--it wasn't all hearts and roses and pink and over-priced prix fixe, which is a major plus in my book. If it weren't for the fact that every table was a couple, the restaurant treated it like any other Saturday night, which was great. I ordered the pork shoulder, which the server recommended to the table behind us--it's marinated in balsamic vinegar and brown sugar, and was tender and flavorful. The small bit of bitter greens on the side accompanied the meat well. The braised lamb daily special (only served on Saturdays), however, brought "tender" to a whole new level. The server warned that it was served with lots of fat, and it was falling-off-the bone-amazing. It was topped by a smidgen of egg salad, but it's pretty much a hard-core meat dish. We also split the lobster linguine--there were meaty pieces of lobster, which were perfectly cooked and sweet, and the pasta was just slightly underdone relative to al dente. Overall, the food was first-rate, and I'll definitely be coming back. Service was a little spastic--the server went from being very friendly with helpful information to brusque and rushed, but the overall atmosphere was perfect for an intimate dinner. It gets crowded though, so make reservations unless you're willing to take your chances with the wait. Overheard: "Just to let you know, I loooove everything at Intermix. It's my faaaavorite store. You can't go wrong if you get me anything from there." --high-maintenance blonde ditz to her bored-to-death WASPy boyfriend (she only ate four pieces of her ravioli; he seemed more than happy to devour the rest for her in addition to the braised lamb) Tip: The restaurant's weak spot is dessert--there were only five choices, all in the $8-9 range. If it's a nice night, walk off the meal--head down Bleecker to 6th Ave. and check out  the cupcakes at Sweet Revenge or the ice cream at Cones.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153520639; Sentiment_Subjectivity (from 0 to 1): 0.550829726 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place to grab a quick bite for lunch. Prices are rock bottom cheap, but you get what you pay for: portions aren't large, and the roast duck is indeed considerably fatty. I usually get the roast duck over noodles ($3.50) or the roast duck over rice ($3.25), which usually consists of a wing piece, 2-3 meaty pieces, and 2-3 fat/skin pieces. Yes, you have to share tables, the decor is nil, and service is brusque ("efficient"), but I'm Asian and used to it, so no major complaints here. Also, where else can you go and get a full service meal in under 30 minutes and for less than $5? Tip: They have yau tieu (the long pieces of fried dough, also known as savory "Chinese doughnuts") if you ask--it goes perfectly with congee (rice porridge).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.108312075; Sentiment_Subjectivity (from 0 to 1): 0.407993197 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love pasta and carbs. And yet...this place somehow doesn't do it for me. The worst part is that I never feel satisfied, even after eating a $10 pasta and as much free bread and olive oil as I can handle. After you order and pay at the cashiers, be prepared to wait for a cramped table in the tiny, unheated dining room. As you munch on bread, try the olive oil, which is lightly flavored with dried pepper flakes--not enough to be spicy but enough to add a bit of zip. And on a slow night, they'll even give you some pieces of foccacia in your basket. The pastas are tasty, albeit somewhat over-priced (~$10 for pasta with sauce, barely anything else on top. I could make the same thing for far less). The penne alla vodka's good though--creamy with bacon-bit sized pieces of porchetta. Apparently, the salads and paninis are good lunch choices, and the entrees looked appealing as well--but were again a bit overpriced for the setting. Finally, I've never tried take-out from here, but it might be a better option (although I suppose you'd have to forgo the free bread). Tip: Don't forget to check out the specials board--it's tucked away by the cash register.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165151515; Sentiment_Subjectivity (from 0 to 1): 0.579166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow.  Two words.  Lamb Sandwich.  Succulent, tender, & bursting with flavor.  The mint lemonade on a hot spring day hit the spot.   I can't wait to go again to try everything else on the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.175; Sentiment_Subjectivity (from 0 to 1): 0.925 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let me preface this review by saying that I'm a big fan of halal guys on 53rd & 6th.  Now I've found new spot that is better!  This place is the best chicken and rice, HANDS DOWN.  I discovered this place last Thursday night and I went back the next night.  If I was closer, I think I'd go every night.   Let's get to the food.  The chicken has so much flavor to it.  It's not dry at all.  Usually, most halal carts add some lettuce and a piece of tomato.  This place actually adds a 'real' salad including pickled veggies.  And ask for the hot sauce.  It's not overbearing hot but a good flavor to it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.141063412; Sentiment_Subjectivity (from 0 to 1): 0.422783389 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very impressed with the reservation system here.   We made a reservation on yelp for 12:30.  After arriving, there was quite a large crowd outside waiting for a table.  I thought we'd have to wait a bit even with our reservation.  To my surprise, we waited a max of 5 minutes and were seated at our table.   I had the mushroom omelette which was delicious and the home fries were amazing.  Definitely go and make that reservation!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.469047619; Sentiment_Subjectivity (from 0 to 1): 0.646428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Honestly, I don't know what the hype is all about. We arrived & were told there was a 10 minute wait (party of 2). We added our name to the list & waited & waited. We were finally seated after 50 minutes. We were quite hungry & thought anything would taste good at this point. First we had the peasant salad & it arrived quickly along with some bread with olive oil. First course was quite satisfactory. For our main course, we wanted to order the baby shark.  We were informed that was sold out along with 5 other fish items! Being that it was Sunday evening, we were not that alarmed. My wife ordered the sea bass & I went with the grilled calamari.  The calamari was quite burnt. There really wasn't any flavor to it so I added some salt, pepper, & lemon. The sea bass had no seasoning or flavor to it. It looked like the fish was just put on the grill without anything added to it. We had gone to Sabrys the weekend before & wished we had gone there again. The grilled fish there had so much flavor to it! On a side note, the sides of lemon potatoes & beets were pretty yummy.  Overall, I wasn't impressed with the food or service.  If the food is good, I can get over crappy service.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.265234375; Sentiment_Subjectivity (from 0 to 1): 0.5234375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place.   Every time I need to get my fix of Mediterranean food, this is the place to go.  The dipping platter with fresh pitas is awesome.  The Greek wine and beers are all great.  And all the dishes are sooo delicious.  If you want a nice, comfortable, good dinner for an average price, Snack is the way to go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.515; Sentiment_Subjectivity (from 0 to 1): 0.665 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best restaurants in New York!  Phenomenal food, great service, awesome environment.   Came here with a group of six and got a few appetizers, but we were really there for the duck.  The duck was superb - definitely worth trying at least once. If you're fortunate enough to make a reservation, I would go and treat yourself to a great time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.436188811; Sentiment_Subjectivity (from 0 to 1): 0.51958042 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped by this place after a burger craving, and was moderately disappointed.  The burger was just okay, with the buttered bun and the greasy meat really making it an overly fatty meal without a whole lot of true flavor. That said, the place itself and the service were top notch.  Plus the other things on the menu, like the steak, looked amazing.  I think I'd recommend this place if someone asked.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.141666667; 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: Came here at 2am following some good clubbing and bad DJing.  We were pretty drunk so a cracker dipped in hummus would have seemed like the greatest thing ever.  Needless to say, the meatballs were delicious.  Its a good thing to specialize in and this place takes the blue ribbon.  The menu was great, the service good, solid drink selection... overall, a great time and I wouldn't mind at all coming here again (maybe a bit more sober next time).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.269444444; Sentiment_Subjectivity (from 0 to 1): 0.553703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I've read and heard about this burger for several years now and finally made it out to the Spotted Pig to give it a go. So lets get the important stuff out of the way first... The burger was solid. Nothing spectacular, a few points to the Roquefort cheese for creativity and points for the awesome fries, but some points deducted for too much butter. Honestly, the cheese, while differentiating the burger, really overpowered the entire burger. It was cooked nicely and evenly, perfect medium. The service was very good: timely and courteous. Beer and wine selections were awesome as well. Overall, the place gets 4 stars simply because of the burger. Its a good representation of the restaurant as a whole. I would still recommend it to people who want to try it or if they're in the area, but now that I've tried it I'd probably go elsewhere for my burger fix.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.383809524; Sentiment_Subjectivity (from 0 to 1): 0.595022676 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 after work type of bar downtown. I think a few years back it used to be more under-the-radar, but now its a bit overdone. I'd say its good for small groups (4 to 8 people) for one or two pre-dinner drinks, or if its just a stop when you're bar hopping downtown or Tribeca.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 0.283333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great little pre-theater place to eat and have a few drinks. Food is really good, service is friendly, nice ambiance on both floors.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.347916667; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a great find! Zutto combines the precision and focus of high-class Asian cuisine with the style and feel of a Brooklyn gastropub. Of course, I had to try the ramen. It had consistency of a very good pho, but definitely had more flavors in the forefront. And the steamed pork bun sandwiches reminded me of those from Momofuku. My friend had sushi which I unfortunately did not try, but it looked really really good :) The service was above-average and they were on top of everything that was going on. Highly recommended.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.377; Sentiment_Subjectivity (from 0 to 1): 0.617 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: was there for lunch thursday and had the gigantes bean salad and the mint lemonade. the beans? gigantic! ;) both were delish, the service was nice and friendly, and they have the setup locked down. very organized. very cute. it's super small but cozy in that don't-get-too-close-to-me kind of new york way.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.230831038; Sentiment_Subjectivity (from 0 to 1): 0.660009183 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: being a little hung over from last night and having friends staying in w'burg made it the perfect opportunity to try Marlow and Sons for late breakfast/lunch. i had a damn good bloody mary (why does the hair of the dog work, anyway?).  we also ordered the basket of sweets and the scone was a little dry but the jelly on top made it delish. the sticky bun was good too. i think i tried the donut and i think it was good. then i had the pannini of cheese and raddichio which was really hot and kinda greasy, but it was kinda just what i needed since i woke up a tad slow and stupid. the service was nice and friendly, the place was so hip it hurts. and band of horses was playing on the stereo. which is kinda funny cause of the spot and all.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143137255; Sentiment_Subjectivity (from 0 to 1): 0.659803922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been wanting to go here since january and i am glad i finally made it because i really liked this place! the wait staff was very friendly, we didn't feel rushed, and the waiter reco'd a great drink - a "behind the knees". it was delish. i can't really recall what i had but i do remember it being yummy and my bf loved his chicken. the wine was yummy and our next-door-diner was super funny and drunk and he sang us a song about sarah palin being a washed up has been politico (fingers crossed).  what a fun night!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22275641; Sentiment_Subjectivity (from 0 to 1): 0.747435897 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i went there at 5:30, didn't know they weren't open until 6. made a reservation for 2. asked the hostess if there was a bar nearby and she suggested a coffee shop 2 blocks down. went to the coffee shop, and got back to lucali at 6:05. they gave my table away. 5 minutes. maybe even less since there was a family  in front of me putting their name down. now, if i came by, made a reservation in person, and asked if there was a place nearby to go for 30 minutes, wouldn't it appear that that means i would be back? i'll stick to grimaldi's or di fara, or actually any other place than this.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.075347222; Sentiment_Subjectivity (from 0 to 1): 0.202430556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: first, why does YELP classify this as an italian restaurant? confused. just had a late lunch there today, i do love this place for its energy and look and feel and food and wine selection. not the fastest service but i am ok with that as long as the bread basket is full. i have had nothing but great times here at this place but something keeps me from giving it a flat out five stars. not sure what, will have to noodle on it and maybe revisit later.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.114583333; Sentiment_Subjectivity (from 0 to 1): 0.453935185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: went there for lunch yesterday and had a great time. the company was superb, there was no wait (which seems to be a big thing considering the other yelpers comments about this place), and the staff was super friendly and nice.   i had the mushroom bruchetta(?) which was really good even though a little salty. i also had the lentil arugula salad with parsnip chips on top (yummy! salty!) and the roasted beets, which were glorious in colors but a little heavy on the oil. my lunch mates had a biiter and i had a taste. flat beer, bleurch. the best part was that there was construction going on on the roof and every now and then a bag about the size of a large pigeon would fall outside our window (we were sitting upstairs) and land with a thud on the ground. the first time it happened i saw it out of the corner of my eye and whipped my head around so fast i nearly got, well, whiplash. was that a bird dive bombing?!! dismembered body part flying off the roof? the thud was so loud we all starting cracking up and henceforth every time it happened it would bring our conversation to and end so we could confirm that yes, the Cleaner was upstairs and yes, that was the arms of some poor soul who didn't pay Don Lino Luca Giuseppe in time. Ciao, paisan! didn't go to the loo so not sure if they had hooks to hang my purse, so in all fairness can't give it 5 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.218918219; Sentiment_Subjectivity (from 0 to 1): 0.50510697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 restaurant, fancy cocktails. the southern belle was delish. it was a tad annoying that we were told we had to have food if we sat outside. repeatedly. i think they alerted us to that fact 3 times. my companions enjoyed their duck and rabbit. since i am a vegetarian i was once again relegated to salad and sides, since i did not want the one pasta dish in butter sauce. but the side of celery root (?) was yummy and it was a huge portion. maybe because they knew i was just getting a beet and orange salad. this was also delish. everyone was nice and service was adequate. i would def try this place for brunch.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.129166667; Sentiment_Subjectivity (from 0 to 1): 0.497916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 there for dinner this week and i really enjoyed it. the maitre'd took my coat, which was nice since it was the super cold 19 degree day out and i didn't feel like lugging my puffer around any more than i had to. i did fall in love with a new wine, the jack tannahill wine. it was the last bottle in the restaurant apparently. it was super super delish. the sommelier was very nice and professional, the service was fantastic, and my beet tortellini was awesome. and the doughnuts were fab! the bathroom had books in it, which i guess is a nice homey touch but to me it was just the seinfeld ep with george trying to return the book and that kinda grossed me out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.347897727; Sentiment_Subjectivity (from 0 to 1): 0.666950758 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 there was an option to do half stars, I'd do 4 1/2... we had the Regginella, but we preferred the Popeye. the perfect start to a new year.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.323232323; Sentiment_Subjectivity (from 0 to 1): 0.54040404 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 broccoli and the edamame falafels. they were pretty good, but i would have liked a main dish option for vegetarians. i got sides.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.429166667; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i really liked it here. i got the tofu pad see ew and my friend got the curry chicken. she didn't think it was that great, so maybe stay away from that dish. but mine was very good imho. the service was friendly and the atmosphere was nice, and it wasn't too expensive. the glass of white i had was yummy too. all in all it was good! so good in fact that i am going to dinner there now!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.406; Sentiment_Subjectivity (from 0 to 1): 0.668 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: always a pleasure to visit here. the gnocchi is good (perhaps a tad underdone and not enough sauce), the tagliatelle received a rave review. for dessert, the flourless chocolate mousse is sublime. and the bottle of valpolicella was yummy. the service is crisp and friendly, and the atmosphere warm and welcoming. go!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.415; Sentiment_Subjectivity (from 0 to 1): 0.523333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 sure if i am entitled to a review here, since i am a vegetarian and the menu is a bit skewed, but... i had the mac and cheese, and it was pretty good. i also had the green beans and they were super salty, but i like salt so i can get past that. i did order the iceberg wedge with blue cheese and it came topped in bacon(?) so i had to pass on that, but the blue cheese was a bit watery so i think i am ok with giving that a miss. i even went back to look at the menu board and i couldn't see that the wedge came with bacon. and when i ordered i told the lady that i was a vegetarian and asked if i was missing out on any other good veggie things. weird. but what i could not, and i mean no way, what i could i not get past was the roaches in the kitchen (i know they are everywhere, but to be present when the lights are on and there are people walking around is a major infestation) and the filth that was the bar. it was way too cold to sit in the prison yard (which i could see as being lovely in the summer) so into the bar we went. i know that p&t's is not affiliated with the bar but still that place was disgusting. the couch was wet and smelled like cat pee and vomit. i am still giving it 3 stars bc i love the idea that these girls are doing what they want. and the pies looked fantastic. but it would be a smart move imho to walk next door and ask the bar to sweep the floor once a week. esp since it's getting cold and people will be forced to sit inside to eat. there is such a thing a character, but there is also such a thing as unclean. yuck.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.017579365; Sentiment_Subjectivity (from 0 to 1): 0.512030423 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pleasure of placing a large corporate lunch order from Snack the other day.  The acting manager was extremely helpful, providing recommendations on how much to order for the group and promising to have our meal arrive by 1:30 pm.  Even though the deliveryman got a bit lost within our building, he still managed to arrive at 1:30 pm on the dot.  I could not have been happier with the service.   The food, itself, was just as impressive.   I ordered one of the combination platters to start, choosing the Carp Roe, Roasted Eggplant, and Hummus dips.  The carp roe spread had a fresh, fishy flavor.  The eggplant was uniquely smoked and provided a positive grilled after-taste.  The hummus was some of the creamiest I had ever tasted.  However, while I enjoyed the silky texture, I would have preferred a bit more flavor from the spread.   The accompanying pitas were comfortingly soft and warm.  The Greek Salad was crisp and fresh, but a bit over-dressed.   However, the team was blown away by the tasty Artichoke Chicken Salad, which actually included little lettuce.  The lack of roughage was compensated for by large hunks of tender chicken, potatoes, butter beans, tomatoes, and string beans.  This earthy combination was tossed in a savory black olive vinaigrette.  I also helped myself to a slice of the delicate Spinach Pie.  The moist phillo dough melted in my mouth, leaving the bold spinach and gooey cheese filling to gratify my taste buds.  The hearty pie satisfied without being too dense.  It was also served with our choice of cold appetizer or side Greek salad.  To top off my order, I purchased a variety of sandwiches, all of which were quite large and priced between $7.50 and $9.50.  I tried half of the Marinated 1.0 and fell in love with the lemony mix of artichokes, tomatoes, cucumbers, portobello mushrooms, scallions and shaved cheese.  The Mediterranean ingredients were stuffed into a large, crisp ciabatta roll.   This tasty meal solicited cheers from my colleagues...another order well placed by the resident foodie :)  As I predicted in my conversation with Snack's manager, we will be ordering from this tasty Greek cafe again!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.132155673; Sentiment_Subjectivity (from 0 to 1): 0.502230007 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After debating about a dinner destination for that evening, my friend and I settled on Balaboosta for our ladies' night festivities.  She had been there previously and raved about their food.  While I had heard mixed things, it was always high on my wish list.  We had agreed to meet in front of the restaurant on a Monday evening at 6:15.  I was the first to arrive for once and was taken aback to find the dining room completely empty.  I understand that given the early time and boring day of the week, I should not have expected much, but not even one table of patrons?  My friend arrived and insisted that the crowd would soon form, given the tasty food.  So, we took a walk around the block and circled back about 10 minutes later to find 3 parties now seated.  With new-found reassurance, we approached the host stand and requested our table. We were quickly greeted by an eager server full of useful recommendations to help us narrow down the multitude of interesting options.  While we passed on the interesting cocktails, we devoured another pre-dinner treat - the airy, seasoned crisps similar to Munchos.  We snacked away while we gazed longingly into the open kitchen.   We calmed our appetites with two starters - the Crispy Cauliflower and Dr. Dave's Grilled Pizza.  The crunchy white florets had been fried to a golden caramelization and were seasoned with lemon, like a crisped calamari would be.  This vegetable was tossed with pine nuts and sweet currants, which enhanced the savory cooking style of the cauliflower.  In terms of our other starter, the Mediterranean flat bread was topped with an unusual blend of carrot puree, caramelized onions, goat cheese, and fresh cilantro.  The bright orange vegetable puree was infused with cumin and other strong spices, but the tender chunks of goat cheese tempered the heat to really balance out the dish.  At this point, I needed some sort of palate cleanser before moving on to my main course, so I opted for their homemade Mint Lemonade, which was pure perfection.  It contained just a hint of sweetness and was very refreshing.   Though we were already stuffed, we scarfed down our entrees.  My Boneless, All-Natural Half Chicken had been cooked under a brick, which allowed it to retain a maximum amount of moisture while developing a crisp skin.  It was served over braised leeks and in a Gremolata sauce, both of which took the flavor up a notch.  The bird was accompanied by a mound of Israeli Couscous that was infused with dried apricots, but sadly lacked the seasoning I had hoped for.  My friend's Spice Rubbed Skirt Steak was sublimely lean and tender.  It was served with a hearty blend of roasted salsify, oyster mushrooms, and sauteed green beans, all beneath a tangy Tomato Vinaigrette.  Neither of us would typically consider ourselves red meat fans, but there was no denying the yumminess of this juicy, drool-inducing piece of goodness. Two courses in and under the influence of pure satisfaction, we forgot all about our stuffed bellies, and ordered a Wild Berry Crumble to share for dessert.  The large ramekin was sat down in between us, causing a tense stare-down over who would plunge their spoon into it first.  We drew our utensils and dove into the warm, crumbly topping, only to discover a multitude of layers.  A buttery, flaky crust was topped first by a sweet custard, followed by tart berries, and lastly sprinkled with a brown sugar crumb topping.  Though similar warm desserts fit more in the fall season, the summer berries made it feel right at home with the rest of the meal.   Our experience at Balaboosta was a delightful surprise, complete with a packed dining room by the time of our departure.  I would highly recommend it for a home-style, yet innovative Mediterranean meal.  But, please remember that even if the space appears quiet upon your arrival, you will soon be dining amongst other foodies in the know.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.11764037; Sentiment_Subjectivity (from 0 to 1): 0.452651031 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After passing Pylos' beautiful dining area and reading so many fantastic reviews, this spot jumped to the top of my destination list.  The restaurant denoted its culinary point of view as "rustic Greek home cooking", which it truly personified.  The elegant, yet homey space included several intimate tables and a large wooden block island for large groups.  This party space overlooked a massive wine showcase, which gave off the impression that you were eating in someone's kitchen.  The ceiling was adorned with clay pots, also accentuating this country-style theme. My friend and I were blessed with a fantastic server that enlightened us on the Greek wine list and provided friendly recommendations on the food menu as well.  We placed our order and chatted over a large complimentary plate stacked high with warm pita points and a savory red pepper hummus spread. We began our meal with the Htapothi Scharas - slices of grilled, marinated octopus with capers and a balsamic reduction glaze.  The octopus was expertly crisp and devoid of any chewiness, but the balsamic reduction had sadly been over-cooked, giving the dish a subtly charred flavor. My entree of Poached Salmon was perfectly cooked.  As is typical with poached preparations, my fish was on the bland side, but I knew that would be the case when I ordered it.  However, it was served over an unbelievable spinach-rice pilaf.  The topping sauce of sun-dried tomatoes and olives was briny, tart, and hearty all at once.  The dish was very rustic and possessed a Mediterranean flare. My friend's Organic, Boned Chicken Farci was beyond tender.  A lightly crisped skin added texture to the juicy meat within.  The chicken was stuffed with sweet raisins, rosemary, thyme and Kasseri cheese.  It was served with Briam, which was a marinaded mixture of zucchini, eggplant, and potatoes.  The large portion was comforting and fantastic.   Pylos provided us with a complete meal in a dazzling environment.  It was a great way to begin our evening out on the town.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183986569; Sentiment_Subjectivity (from 0 to 1): 0.571904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 only took me 7 years to return to Cookshop, but it was worth it!  I met my mentor here for lunch and simply loved the sunny and relaxed atmosphere.  My Sullivan County Brook Trout Fillet was moist and flaky, as well as skillfully kissed with the perfect hint of salt.  It was served over a cool salad of crisp, plump sugar snap peas and ripe tomatoes.  Mint sprigs and an onion-infused charred sweet corn relish were added on top of the fillet to really bring out the bright seasonal flavors of this light fish.  It was the perfect portion for lunch, and I left completely satisfied.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.451785714; Sentiment_Subjectivity (from 0 to 1): 0.629761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been dying to go to Perry Street since it opened a few years ago.  I was starting to feel like one of the unprivileged few that had yet to savor its goodness.  So, when one of my friends suggested a dinner there, I jumped at the chance.  As I navigated my way down Perry, I enjoyed strolling past the adorable brownstones and quaint restaurants.  For some reason, I had not realized just how far west this spot really was, but it was located directly on West Street.  The restaurant was on the ground floor of a beautiful apartment building.  Floor-to-ceiling glass windows provided a tantalizing glance at the Hudson River and the New Jersey skyline.  The white decor was sleek and elegant.  The bar scene was pretty laid-back, but the large booths were packed with dinner parties. I picked my friend up from the bar, and we were quickly escorted to a cozy table towards the back of the space.  Unfortunately, we were unable to take advantage of the dazzling outdoor views, but once the food started to arrive, the interior sights were even better! Our friendly waiter provided us with all of his recommendations and insider knowledge.  We started our feast with some fabulous cocktails.  My drink was a mixture of brandy and Perry Street's homemade passion-chili soda.  The sweet and spicy blend was one of the best concoctions I have ever had the pleasure of getting drunk to.  We also enjoyed slices of delicious fresh bread while we awaited our meal. Our Rice Cracker Crusted Tuna appetizer soon arrived.  The seared, sushi-grade fish was thickly sliced and crisply crusted with the Asian crackers.  A "sriracha-citrus emulsion" was thick and creamy like a spicy mayo.  It accentuated the flavor of the tuna, however the dish could have used a bit more pepper or seasoning within the crust.   My Sauteed Red Snapper entree was fantastic.  The fish was light and tender, but substantial.  It was perfectly cooked.  Asparagus and shiitakes mushrooms were terrific complimentary garnishes.  When the mushrooms combined with the tangy sesame vinaigrette, it made for an aromatic, flavorful broth. Between our delicious cocktails and orgasmic food, we were too full not to pass on dessert.  Luckily for us, our check was accompanied by 2 Petit Fours, which enabled us to sample something from the pastry chef.  The sweet squares of pistachio cake were infused with almond paste.  These rich and nutty morsels were insanely delicious, and, just as I had hoped, my compliments to the waiter convinced him to deliver a second plateful on the house.   Perry Street was one of my best Jean Georges experiences, and I look forward to returning.  The petit fours and brandy cocktail would be reason enough to trek out to West Street!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.257583538; Sentiment_Subjectivity (from 0 to 1): 0.577882466 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would like to preface my review by saying that I think Pig and Khao is really more like a 3.5 star restaurant than one deserving of an average 3 stars.  Why am I not giving it 4 then, you ask.  Well, I just felt like my experience was not entirely consistent and had some low points.   The experience began by making a reservation through OpenTable several days in advance.  Even with 5 days notice, most of the times were completely booked, so I wound up settling for an 1:30.  As the day approached, I had called to see if there was an opening any earlier.  I managed to get Chef Leah Cohen on the line, who was very nice and apologetic for not having an earlier table.  I told her that I had enjoyed her food at Centro Vinoteca and would keep the 1:30, as I was anxious to try out her take on Thai and Filipino cuisine.   Upon our arrival, the place was packed, confirming that we were lucky to even receive the table that we did.  I have to say that the atmosphere created the perfect setting for the cuisine; the space was cozy and intimate with a direct view of the small kitchen that resembled something one might find in a studio apartment.  The aromatic smells of each dish permeated the dining room, so I was grateful for this peek into how everything was assembled.  The brightly painted walls and paper napkins reinforced the playfulness of the dishes, as well as the casual vibe they were striving for.   Our waiter was handsome and had a fresh, trendy style and relaxing air about him, almost as if he had just returned from a peaceful stay in the Hamptons.  We were debating on our libation of choice, but he firmly confirmed our choice of the Phuket Punch by saying it was his favorite on the menu.  I have to say that I was extremely thankful for this declaration, as it led me to one of the best cocktails I have had in a long time.  Look out, this might be a new obsession...The white wine class was filled with prosecco, a grapefruit-cinnamon syrup, a fresh mint leaf, and a shaving of grapefruit zest.  The large straw placed inside the glass took this spritzer from boring to lively by its sheer inclusion.  The cinnamon added a sweet kick to the acidic grapefruit component.  It was a perfectly balanced beverage, just right for a festive brunch.   When it came to the food, though, I sadly had mixed feelings.  The meal started with the highlight - The Sizzling Sissig.  The hot platter contained chunks of random bits of pig's head, including the ears.  The meat was fatty, but full of flavor.  Chili and cilantro were sprinkled on top of the head, and a whole egg had been cracked right in the center of the plate.  We broke the yolk and tossed everything together for a smoky, creamy dish of decadence.  Our side order of rice, topped with burnt garlic shavings, was a perfect accompaniment to the meat.  The Bahn Xeo came to the table next.  This sizzling crepe had sounded like one of the most unusual items on the menu, but turned out to be VERY greasy.  This wrap around pancake itself was not very flavorful.  However, it was stuffed with plump shrimp that were perfectly cooked, crunchy bean sprouts, gooey fish sauce, and supposedly bacon, though I barely detected it.  I would have gladly eaten out the inside like a salad, but the crepe part was unnecessary.  Lastly, the Khao Soi was decent and certainly grew on me as the meal progressed.  This large bowl of creamy red curry sauce contained very few pieces of chicken, pickled mustard greens, shallots, and egg noodles.  While half the noodles had moistened beneath the sauce, the other half were peeking out of the broth and had remained crispy.  After a good mixing, the crunchiness disappeared, and the entire portion of noodles became infused with the flavors of Thailand.  However, there was an undertone of pungent sourness in the broth that I could not place.  Perhaps it was from the pickling of the greens or maybe from excess cumin or lemongrass, but something was off-putting.  We decided to skip dessert, but I gladly had another glass of punch, ha! We left Pig & Khao satisfied and content, agreeing that we wound certainly return.  However, the prices and the grease factor were both a bit too high to make this a regular weekend destination.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.174024878; Sentiment_Subjectivity (from 0 to 1): 0.568855238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Step into Despana and be transported across the Atlantic to the culinary world of Spain.  This gourmet shop provides a true taste of the Mediterranean to globetrotters and those less experienced with the Spanish culture.  Visitors will find a large selection of meats, cheeses, prepared and packaged foods, and even pastries. Unfortunately, I happened to stop into Despana after a massive Chinatown lunch and only found the room to sample a small Apple Cookie among all of the other tantalizing treats.  The crunchy pastry was crisp around the edges, but with a slightly mushy center.  The apple flavor was subtle, but distinct.  The fruity essence was fresh, rather than artificial.  It was a great way to end a savory lunch. Despana indulged my memories of a recent trip to Spain, and I look forward to further visits to the authentic market.  If I cannot afford another trip to Spain, at least I can satisfy my Mediterranean food cravings.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.042287785; Sentiment_Subjectivity (from 0 to 1): 0.497981366 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: With all of the press Sakagura has received since its debut, you would expect it to be easier to locate.  However, this gem truly is hidden, first within an office building and then even further down in the depths of the basement.  The environment does feel a bit claustrophobic at times, but the dark cherrywood decor give it a real traditional flavor.  On weekday evenings, this Japanese hot spot is full of business diners and professional foodies there to sample the tasty tapas-style cuisine and massive sake menu.   Sakagura's sake selection really put them on the radar of chefs like Anthony Bourdain, who visited the underground lair in his Manhaatan No Reservations episode.  There are 3 separate sake menus, including specialties and recommendations.  Each version is available in 4 different sizes, ranging from cup to bottle.  Also, the menu contains detailed descriptions of each, so you know what flavor undertones to look forward to. The large culinary menu offers a similarly overwhelming variety of options.  It is best to order a bunch of dishes for the table to share.  Most courses are priced between $5-15, which is not bad but tends to add up quickly.   The Fluke Carpaccio was thinly sliced fresh fluke topped with fresh salmon roe.  The bland fish really got kicked into high gear with the large salmon roe poured on top of it.  The plum sauce and flavorful shiso leaves added a sweet and earthy flavor.  The Maguro Yamakake was an odd-looking bowl of tuna sashimi chunks drowning in a sea of "grated mountain yam".  I put quotes around the yam because I would not refer to this creamy, chunky mixture as "grated".  The Kamo Roast consisted of tender slices of roasted duck loosely encasing a bushel of scallion strands.  A basil sauce was a terrific flavor enhancer.  We also enjoyed the Satoimo Iridashi, which was essentially an Asian vegetable tempura of taro, eggplant, and shiitake mushrooms.  The sweet Ebi Shinjo deep-fried shrimp balls were dressed with toasted almonds.  I loved biting into the crisp puffs and discovering the moist shrimp bits inside.  Lastly, the Miso Yakionigiri were large grilled rice balls topped with an out-of-this-world rich miso paste.  Though the balls were unfilled, the thin layer of miso paste added more than enough flavor to compliment the rice. Sakagura is a destination for true, adventurous Japanese fanatics.  They do not offer your standard California roll, or any sushi rolls for that matter.  Come here to be dazzled and enjoy a new experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172725811; Sentiment_Subjectivity (from 0 to 1): 0.49785345 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am not quite sure what to make of Jane.  This quiet, classy bistro offers a cozy haven in the middle of bustling Houston Street.  Plus, with its open-panel facade, it is a pleasure to dine here on a seasonably warm day.  The thing that may ruin your experience, however, is the cuisine.  I find Jane's menu to be a mix of highs and lows.  I had taken a food writing class several years ago, and my instructor regaled us with a dinner here, claiming it was one of her favorite spots.  However, I remember being rather disappointed with my meal.   On a recent lunch visit, though, I discovered what all of her fuss was about.  The meal began with a basket of large hunks of cavernous bread; each slice had a crisp crust and tender crannies.  My Seared Tuna Niçoise Salad was one of the best I have tasted.  It was packed with olives, hard-boiled eggs, capers, roasted peppers, and dijon potatoes.  Though it was a bit soggy from over-dressing, I was able to overlook the flaw due to the rest of the salad's greatness.  The tender tuna had a delicious salted and peppered crust.  The eggs were slightly overcooked, but the roasted peppers were perflectly seasoned.  The potatoes had been cubed and lightly dressed with a sweet, tangy mustard.  The large portion was a bit overwhleming, but I loved how each ingredient had been sectioned off around the bowl, each maintaining its separate corner of the plate.  I also sampled the Goat Cheese Flat Bread starter.  The crisp, thin crust was topped with a substantial helping of sweet, caramelized onions and arugula, but could have benefited from more sharp, creamy goat cheese crumbles.  The main problem with our meal was that the waitress had delivered my friend's two starters, but had conveniently forgotten my salad order.  However, she did apologize and deliver the dish within the next five minutes.  Regardless of this faux pas, I really loved my salad and vowed to return in the near future. Jane is conveniently located near my office, so when my sales group was in need of a lunch spot, I recalled my meal at the bistro and presented it as an option.  My colleagues were impressed with the menu and agreed to try it.  Again, our service was a bit flighty and slow, but this time, our food was extremely boring and bland.  I had tried to reorder the flavorful nicoise, but was informed that they were currently out of tuna.  Disappointed, I opted for the Sunflower Salmon Salad instead.  The bland, mushy fish was served over mache, sprouts, baby bell peppers, and julienne carrots.  A supposed chili vinaigrette was non-existent.   Our group also shared some starters, such as the decent Salmon & Avocado Tartare, boring Bibb Lettuce Salad, and flavorful truffled Asparagus Salad.  None of us was wowed by any aspect of the meal. On a whole, I would say that Jane provides only marginal food, but in a comfortable atmosphere.  It makes a decent backup option, but should by no means be used as a planned dining destination.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.114358601; Sentiment_Subjectivity (from 0 to 1): 0.555361192 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ick...I have one word for you, Smith..."tasteless".  Everything here is bland, bland, and blander.  The speakeasy atmosphere and fun decor make this a hip, casual spot.  The food, on the other hand, leaves much to be desired.  Our weird waitress could not provide recommendations, and she did this weird hovering thing.  We started with the Brooklyn-Style Fried Calamari.  Apparently, this means that it is doused with tomato sauce.  The calamari had just the right amound of breading, but the squid was tough and rubbery.  The tomato sauce was thick, chunky, and sweet.  It was the saving grace for the dish.  My Roasted Chicken Salad with arugula, apples, walnuts, brie, and grilled onions was pretty terrible.  The chicken was slimy and flavorless.  The walnuts were over-roasted, and the brie chunks were much too large.  I thought my friend's Pork Chop with apples, chipotle onions, and fennel was pretty decent, though he did not enjoy it.  The accompanying mashed potatoes (or was it mashed cauliflower?) had no taste at all.   I will not be coming back here.  As my friend stated, "I feel full, but completely unsatisfied!"; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.111752137; Sentiment_Subjectivity (from 0 to 1): 0.642216117 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to Swift the other night for a birthday party and really enjoyed it.  It is owned by the same people as Puck Fair, but the space is darker and smaller.  As you approach Swift and see it's little wooden sign hanging in front of the door, you will feel like you are stepping into an old time tavern, which it actually does look like inside.  The bar area is long and narrow.  The bartenders are a bit slow and disorganzied.  However, they have an amazing beer selection, with about 25 on tab and 15 in bottles.  They een have the hard-to-find Strongbow Cider on tap, which I made the most of ;-)  There is a back room with an amazing DJ playing classic rock (originals and remixes) and hip hop that is perfect for private parties.  The room is full of wooden booths with long benches perfect for seating large groups.  This is a fun, casual place with a good crowd and terrific drink selection.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.192015599; Sentiment_Subjectivity (from 0 to 1): 0.49954844 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yes, I know the name of this adorable West Village bistro refers to a type of olive oil.  However, I cannot help but blush and mutter each time I suggest it as a destination option.  While I may be immature when it comes to goofy words, my palate is mature enough to appraise the flavor combinations served up at Extra Virgin.   After years of pining away for the chance to enjoy a relaxed meal at one of the tiny outdoor tables on this quiet corner of W 4th Street, I made plans to meet a friend here for dinner.  Unfortunately, we were unable to make reservations for the frequently crowded spot, but our suggested half an hour wait dwindled to only 15 minutes.  A conceited host forced us to settle our bar tab and then escorted us to a cramped table on the patio, which we accepted as it provided prime people-watching opportunities.  We sipped our delicious glasses of wine, hers a bold Rioja and mine a sweet Sauvignon Blanc, and awaited our server.  After what seemed like a substantial amount of time, the waitress stopped by to inquire about our water preferences, but then quickly retreated before we could ask her about the food.  She returned a few moments later to check in, but when we confirmed that we had questions on the menu, she quickly stated a need to open a bottle of wine for a nearby table and promised to return.   We found this pretty irritating and disrespectful.  However, once the waitress finally came back, she was helpful and knowledgeable, providing us with insight on her favorite meals and which appetizers were most suitable for sharing.  We placed our orders and awaited our bread basket.  The doughy Italian slices were served with a delicious, floral olive oil that tempted the taste buds and tried to entice us to keep nibbling. We fought the urge and instead saved room for our Crab Cake appetizer.  The plate arrived, showcasing a hill of cucumber ribbons entwined with chickpeas and a lemony tartar sauce.  The crisp vegetables were topped with two medium-sized crab cake patties that looked like they had just been removed from the freezer.  Their oily crust gave way to a gooey, mayonnaise-filled center that possessed more of a creamy flavor than a fishy one.  The Mediterranean-style cucumber salad, however, was quite refreshing and revived the plate. Our entrees soon arrived, and we looked to them to better please our hungry stomachs.  My Olive Crusted Chilean Sea Bass was perfectly cooked, though annoyingly served at room temperature.  It was plated over a fragrant couscous with raisins and toasted almonds.  A dab of red romesco  tomato sauce added spice and acidity.  Though I would have appreciated the meal served at a better temperature, the flavors were well-balanced and delightful.   My friend's Rare Seared Yellowfin Tuna could have used a bit of salt, but was otherwise served in a tasty braised fennel tomato caper vinaigrette.  A side of herb whipped potatoes added a rustic feel and expertly complimented the lightly-flavored tuna.   My friend found the side of roasted artichokes and crispy onion slices overcooked, but an appropriate accompaniment in theory. We topped off our meal with another round of wine and some quality gossip time.  The warm September air and street-side dining provided the perfect venue.   We walked back to the subway satisfied with the experience.  While there were some hiccups in the service and meal preparation, the dishes were well-composed and just shy of a four-star rating.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205448718; Sentiment_Subjectivity (from 0 to 1): 0.568910256 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tasked with finding a brunch spot in the Flatiron area that would appeal to the wide array of tastes in my large group, I offered Almond as a suggestion.  We approached the country-style dining room and glanced at the menu board.  From what we could tell, it appeared that both the breakfast-centric brunch menu and the standard lunch offerings were both available.  We were thrilled by this, since everyone had the opportunity to order what they wanted.   We checked in with the hostess, who was less than friendly, and then got stuck waiting around for her to escort us to one of the many vacant tables.  We claimed our seats and called over the waitress to confirm the available menus.  Sadly, we were told that the brunch offerings were all that were available at that time.  We tried to make satisfying selections from the remaining choices while we munched on delicious buttermilk biscuits with sweet berry jam and cinnamon apple butter.   I pieced together a meal of 2 scrambled egg whites and a fruit salad.  The eggs were topped with scallions, but otherwise bland and runny.  The fruit salad included bananas, kiwi, mango, and gala apples.  My side mug of coffee was just rich and dark enough to brighten my morning. While everyone was content with their meal, no one found it memorable or really worth a repeat visit.  I found this sad, as I loved the location, decor, and farm-to-table sensibility.  The execution of both the dishes and service were just poorly executed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.201345756; Sentiment_Subjectivity (from 0 to 1): 0.583850932 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 recently traveled around Spain, but had yet to experience an authentic tapas experience in the US...until I visited Boqueria that is.  Upon entering the relaxed tapas bar, I looked to my left and noticed that the long hostess counter was adorned to look like a mini tapas bar displaying platters of tortillas and other traditional dishes.  I began oohhing and aahing with excitement as my Spanish memories came flooding back to me.  I pulled my tongue back into my mouth and joined my coworkers at one of the high tables overlooking the open the kitchen.  We had a tough time deciding what to share, because everything coming out of the kitchen looked amazingly authentic.   We finally decided on the paella and several smaller plates.  The Espinacas a la Catalana was a plate of sautéed spinach, garbanzo beans, pine nuts, garlic, and raisins.  The mix was definitely Mediterranean - something I would have expected to find on a Greek menu more than a Spanish one.  I am not usually a spinach fan, but the garlic and raisins added such contrasting and interesting flavors to this leafy green.  It was love at first bite.  The Brandada de Bacalao was in true tapas style, meaning there were round pieces of toasted baguette topped with the whipped cod.  Most tapas tastings around Spain include something over a slice of bread, which helps fill you up before you gouge yourself sampling the entire spread (well, at least it does most of the time, lol).  The Bikini de Tres Quesos was a delectably greasy grilled cheese panini filled with Mahón , Idiazábal and Manchego cheeses and marinated tomatoes.  The crisp multi-grain sandwich was served with a small portion of spiced Patatas Bravas (roasted potatoes with garlic and chili oil) and a side salad.  I absolutely love the Basque Idiazábal cheese, which is rarely on menus here, so this was a thrill for me.  Lastly, the Paella Valenciana was the traditionally large crisp pot of rice, prawns, mussels, clams, cockles, chorizo, and shredded chicken.  The chicken was extremely tender, the chorizo packed with flavorful spice, and the shellfish bursting with freshness.  The dish itself was a bit oily or buttery or something, but I still enjoyed it.  I have been to several Spanish restaurants were I have suffered through dry rice, so I definitely preferred this. We were all satisfied with the reasonable prices and friendly service.   I cannot wait to return and sample the rest of the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.106957173; Sentiment_Subjectivity (from 0 to 1): 0.476136568 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BSE - Best Sushi EVER I was blessed to try Sushi Yasuda for a business lunch and was completely blown away!  The sleek and minimalist dining room just accents Yasuda's all work and no play attitude.  His sushi means business.  The fish is always fresh, and they even star the menu each day to point out the seafood that just arrived in that day.  I recommend ordering sushi here, as the sashimi slices are pretty thin and the rolls make it harder to experience the true fresh crispness of the fish.   Sushi Yasuda is a must try for hardcore sushi-fanatics.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.228125; 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: After a friend suggested a visit to Jadis, I engaged in my typical research routine by scanning my fellow yelpers' reviews for something positive.  I was pleased to see that everyone recommended this cozy wine bar and looked forward to sampling it myself. I walked down the short staircase and descended into the rustic wooden spot.  The front of the restaurant was lined with several intimate tables and a simple bar, while the rear section provided larger tables and loungy couches ideal for bigger groups.  I felt relaxed and conveniently at home in the quaint Jadis...that is, until the host intercepted my path.  "Can I help you?" he questioned, as he grabbed two menus.  I crained my neck around him to scan the back room as I replied, "I am supposed to meet someone here and am just looking to see if they have arrived."  Feeling unwelcome in the main dining section, I volunteered to wait at the bar.   When my friend arrived we walked towards the rear room to survey the scene.  The host returned to prey on us once again.  We requested seats at a larger 6 person table, since the restaurant was pretty deserted at the time.  Instead, the man rudely offered us a cramped table that was pushed against the wall and adorned with stiff, backless stools.   We tried to counter by insisting on the bigger table, but received a warning that if we sat there we would likely have to move as the restaurant fills up quickly; the table would be needed to accomodate a larger group.  Surely I understood that, but we could have been addressed with more respect and in a kinder tone.  We begrudingly took our uncomfortable seats at the tight two-person table.   Luckily our waitress was friendly and provided quick service, making up for the host's poor staff example.  My sprirts were further brightened by a sweet, affordable bottle of Sauvignon Blanc and the laidback vibe provided by the casual decor.  We ordered several of the French-style tapas plates as well.  The tiny Crab Cakes looked exactly like those found in the Trader Joe's freezer section, but they tasted much worse.  The bland nubbins were a waste of $6.  Flaky, oily phyllo dough surrounded the fragrant Mushroom Truffle Risotto Puffs, which were crammed with 'shrooms, but lacked any visible risotto.  What tasted like frozen Scallops were rubbery, but were salvaged by  wrappings of perfectly cooked Bacon strips.   The Georges Mesclun salad was topped with chicken, bacon, and gruyere.  Again, the bacon was the star of the dish.  Strips of hard cheese also added a subtle kick, but tasted more like Parmigiano-Reggiano than gruyere.  The salad portion was much larger than the others plates and should be ordered with that thought in mind.   Unfortunately, adorable decor did little to save Jadis from a 3-star review based on mediocre service and cuisine.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.039279456; Sentiment_Subjectivity (from 0 to 1): 0.562743322 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Between the fabulous recommendations that I had received and the difficulty I had making a reservation, I knew that L'Artusi was going to be something special.  However, I had not been prepared for just how amazing the meal was going to be.  I had been to the group's initial location, Dell A'nima, and had enjoyed it, but was not blown away.   However, the service here was impeccable from the moment we arrived.  The staff inquired about checking our coats, gave us an accurate 5 minute waiting time, and helpfully guided us through the menu.  Our waitress was particularly enlightening with the wine bible that was put in front of us.  The list was broken up by Italian region, but was so lengthy that we needed her descriptions to pick the varietal most suited to our meal.  We wound up with a perfect white and were not disappointed. Our bread quickly arrived and looked robust and crusty, but was just as delightfully moist and gooey.  The lengthy menu included plates of all sizes and flavors, making it hard to settle on just a simple entree each.  Instead, we decided to splurge and share several dishes.  We started with the Garganelli, which was cooked to a perfect balance of soft and al dente.  It was covered with a hearty and extremely flavorful mushroom ragu, one so chunky it could pass for a meaty bolognese.  The addition of some ricotta salata was a nice garnish.  Plus, the size of this pasta bowl was massive and certainly large enough to order as an entree. We then moved on to even larger plates.  The Striped Bass was tender and moist.  It was served over a warm salad of Tuscan kale, cannellini beans, and tomatoes, composing the picture of true Mediterranean cooking.  The Braised Short Rib had been sliced into 4 large, melt-in-your-mouth chunks.  It was served over a massive amount of creamy polenta.  The savory sauce and included Parmesan enhanced the earthy flavor.  Our side of Brussels Sprouts were slightly over-cooked and heavily caramelized, but were expertly seasoned with a kick from black pepper and pecorino. L'Artusi provided one of the most perfect meals I have had in a long time.  The experience was perfection - from the cuisine to the service, and I cannot wait to return!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.24453869; Sentiment_Subjectivity (from 0 to 1): 0.562767857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 it comes to the quality of the cuisine, Tuk Tuk is a basic no-frills Thai restaurant.  My friends and I ordered delivery from there one night and were happy with the delivery speed, but just found the food decent.  The Fried Calamari with Sweet Chili Sauce was over-breaded and bland.  The Pad See-Ew with Chicken was overcooked and nothing special.  The Tuk Tuk Tofu was a mix of stir-fried vegetables and tofu, tossed in a garlic and soybean sauce.  The dish had a bit too much sauce, but was fine. All in all, Tuk Tuk is a fine restaurant, but nothing extravagant.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194047619; Sentiment_Subjectivity (from 0 to 1): 0.599642857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: (-continued...My "updated" review is actually the second half of the first one...) Of course I could not leave without trying just one more tantalizing cocktail.  Since I rarely see South American pisco at other bars, I stuck with the liquor and opted for the Pisco Guava.  The liquor was blended with fresh guava purée and lemon juice.  The drink possessed the perfect level of sweetness.  I absolutely loved the summery drink, but was still partial to the Pisco Punch.  We skipped dessert, but were rewarded with a complimentary flute of champagne from our friendly bartender, who we had chatted up all evening.  His knowledge on various types of alcohols and mixtures was truly impressive; I would not be surprised if he eventually showed off his skills in his own mixology class.  Our gifted champagne was sweet, rather than dry, and provided a great conclusion to our fantastic experience.  A final goodbye and a satisfaction inquiry from the manager sealed the deal for me.  This was a great find! Though snippets of my food commentary above may sound like criticism, I am actually just making small notes on each dish, which had little impact over my cumulatively positive meal.  I will definitely be recommending and returning to Yerba Buena.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.256451231; Sentiment_Subjectivity (from 0 to 1): 0.549076705 [/INST] Not Spam</s>