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: The brisket was amazing!!!!!!!!!!!!!!!!!!!!!!!! The best I have ever tasted. The greens were great as well, if you like vinegar-based foods. It was different, but different in a good way. Everything else was just okay. They do need barbecue sauce for the other items as it just doesn't taste like anything. Overall I would go back for the brisket  and the collard greens. Umm, umm good....; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.415909091; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First time going here was last night at their year anniversary and the atmosphere was awesome. The live band was fun and entertaining. Went here expecting the brisket to be really good and it was, no complaints at all. The pulled pork, was okay. Now that being said the surprises were the sausage, potato salad and red chilli. Oh and the coconut custard pie. All of which were phenomenal. Highly recommend this place and will 100% be going back. Think I found my go to BBQ joint. No XL t-shirts either, only XXL and XXXL. Guess I'll have to make more trips back to fit into one of those.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309147727; Sentiment_Subjectivity (from 0 to 1): 0.4275 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't believe that I have ever left a barbecue joint confused and unsatisfied, but I did last night after eating here. The food was mediocre at best. I ordered pork, beef brisket, and greens. The greens are vegetarian and had a slimy taste. I'm from the south, and this was NOT how you do collard greens... The pork was very fatty, but not bad. The beef brisket was incredibly dry, and there are no sauces to help. That may be acceptable if you are served water. The glasses are shot glasses, and our waiter was so awful/slow, we ended up grabbing carafes ourselves TWICE because they wouldn't acknowledge us. (The food is so salty, we were desperate!)The food is also served family style, which we were not warned and since all 4 of us ordered different amounts of meat, we were not happy. I think this is a place you order take out from, but never eat at. Personally, I'd never pay that much for this food again. Overpriced and not worth it.  Don't say I didn't warn you.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.017435897; Sentiment_Subjectivity (from 0 to 1): 0.465641026 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spot for some good barbeque.  They don't just tout it, they deliver.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.35 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!!!! The brisket is amazing. Awesome staff and atmosphere! And if you have enough room after stuffing your face with beef save room for the homemade pies and a couple of IPA's .....absolutely incredible!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.568828125; Sentiment_Subjectivity (from 0 to 1): 0.86 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a Native Texan, and when I first heard of Briskettown, I could't wait for it to open!  I drove from Ridgewood, NJ to Williamsburg, I was so excited.  It did not disappoint.  I felt like I was back in Texas.  From the delicious beef right down to the incredibly friendly staff.  It has such a laid back atmosphere, and everything is, as we say in Texas, "Slap yo momma good".  I have recommended it to fellow Texan friends in the city, and they love it too!  I can't wait to go back soon...perhaps this week!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.265781441; Sentiment_Subjectivity (from 0 to 1): 0.431379731 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unbelievable brisket!  Like from another planet!  The ribs and the sausage are great, but the brisket is absolutely phenomenal.  Must be experienced.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.42734375; Sentiment_Subjectivity (from 0 to 1): 0.7875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BACK AGAIN for the first time since opening night. The dude who sliced up my meat promised they'd gotten better at cooking brisket since the last time I was there. "Impossible" I said. Passing through NY for a business trip from Philly, I didn't have time but had to stop in anyway. These guys just nail it! And I hear they're openig another location on the highline. Perfect for the concept. Dan Delaney is on the rise. Mad appreciation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.041666667; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in for the Breakfast Brisket Taco. It was great. Loved the slice of Lime, preventing Scurvy is important. Friendly service from the owner. Delicious coffee . Also bought a Brisket sandwich to go, outstanding. A trip well worth it for Brisket fans. Watch out,  nondescript storefront  - 359 Bedford Avenue.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.582142857; Sentiment_Subjectivity (from 0 to 1): 0.717857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overhyped?  Nah.  It's far and away the best brisket I've had.  And despite what the others are saying, I found the owner to be quite nice.  Really.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If I could give them "zero" stars, I would.  No stars.  Surly service.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The brisket was pretty amazing especially the fatty.   My only complaint is how the "system" works to get your food and a table.  There was an enormous group that must have been part of the pre order and since it's BYOB they sure took advantage of that.  I think if they ever get a liquor license this will be solved because you'll be able to drink while you wait but with out that I felt like I was waiting in line to wait in line.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.768209877 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: simply amazing. Dinner and the new breakfast tacos are all outstanding. Not only is the meat the best I've ever had, even the sides are delectable. I highly recommend Brisket Town for anyone who loves awesome food!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.485194805; Sentiment_Subjectivity (from 0 to 1): 0.724220779 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: PS It's worth a trip to the bathroom!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.46875; Sentiment_Subjectivity (from 0 to 1): 0.1 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: pricey, but the real thing. Think how much it would cost to travel to texas.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.25 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Updating to include the breakfast tacos and the pastries that will be a part of the daytime operation. The breakfast tacos are amazing, with the potential to be even better.  Right now, there are three kinds of tacos: brisket (it is BrisketTown, after all), pork (with pulled pork and bacon), and veggie (featuring Brussels sprouts.  All three were really great, with the veggie taco being the surprising winner. Also had the rice krispie treat w/ walnuts and the pecan pie.  Both pastries are really good if you're not up for a savory start to your day. Oh yeah, the coffee (supplied by Blue Bottle Coffee) is as good as it gets in the city. Great thing about all this:  it wasn't all that heavy, as opposed to their dinners.  Great way to start the day!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.49047619; Sentiment_Subjectivity (from 0 to 1): 0.623809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wife and I are obsessed with barbeque since the Smoked Joint in Philly closed many years ago. This place is the best that we've found since then. Cooked completely by smoking using oak brought up from Texas. We got the ribs and both varieties of brisket, regular and lean. The meat is tender and delicious with just the right amount of peppery bark.  Same for the ribs which were fall-off-the-bone tender.  Comes with pickles and onions with various sides nightly. As my wife is not too keen on German potato salad we got only the red cabbage slaw, which was great.  This was a fabulous meal and there were ample leftovers, enough to take back home and treat ourselves and friends the next day. A word about desert...we got a slice of the apple custard pie.  One pet peeve is soggy crust...NOT TO WORRY...this pie was baked fresh that day and the crust crunchy and the filling perfectly cooked.  It is a short crust made right there. This is a BYOB place and there is your choice of beer or wine within a short walk.  Easy to get to as right under the Williamsburg Bridge. All in all a fabulous meal.  We will be sure to return there next time we're visiting the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2272578; Sentiment_Subjectivity (from 0 to 1): 0.489009936 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had a great time here the other week. Its crowded with limited seating, but I thought it was a fun experience even when we were in line. Its BYOB, so pick up a six pack on your way over. Ribs are just as tasty as the brisket (both fantastic with a peppery dry rub). I think it rivals most of the BBQ I have had in TX. Sides are ok, but it is all about the meat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.237433862; Sentiment_Subjectivity (from 0 to 1): 0.496428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There are no words that speaks to how RI-GOD-DAMN-DICULOUSLY DELICIOUS the brisket is at BrisketTown. It can be described as "meat candy". I must confess, when it comes to barbecue I usually go for the ribs cause the brisket usually lets me down, But not in BrisketTown. No Sir!!! Brisket is king (ALL PRAISES DUE!!). So tender & perfectly seasoned. It melts in your mouth with every bite (this was the point where my toes curl and my eyes closed and I truly knew what it felt like when doves cry). To break up the spell of the almighty brisket I suggest you order the potato salad...What the f#@k!...Wow...Wow..(applause) The potato salad is also f**king amazing too? Such a great collaboration flavor like the first time you listened to Enter the Wu-Tang (36 Chambers) with potato salad as Old Dirty Bastard. Get there early cause they do run out. My crew just made the cutoff and it was so worth it. During the slicing of the voluptuous brisket and rib portions. there was a part of me that wanted pull out a stack of ones and make it rain. but I didn't (i regret it) This is a byob but we opted for the Mexican coke ( sidebar- does anyone else get disappointed when someone offers you Mexican coke and you get a beverage?) Anyway a pound  of brisket and a pound of ribs will feed three people easily.I must go back there cause I left a piece of my soul in an oily napkin that wreaks of brisket brilliance; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.050041336; Sentiment_Subjectivity (from 0 to 1): 0.340343915 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend and I dropped by on Friday night when 1/2 lb of brisket that I'd RSVP'ed became available.  We came by around 9:00 and the sign said that they were out of food for the evening, but when I told them I'd reserved my Brisket, Dan came out and was happy to serve us.  He brought us up to the counter, let us sample some of the delicious bark and meat, asked us if we preferred fatty, lean or a combination.  We added on 1/2 lb of ribs and a side of the coleslaw (they were out of the potato salad).  We helped ourselves to some pickles and onions and hot sauce, and grabbed a few plastic utensils.  With the reserve brisket added on it came to a extremely reasonable $30. The food itself was a bit of a mixed bag.  The eponymous brisket is, unsurprisingly, divine.  With little in the way of sauce or seasoning beyond salt and pepper, the unquestioned star of the show is the juicy, fatty beef sliced in long slivers on the tray.  The meat is delicious from any place on the cut, the fattier meat being an tongue-coating indulgence, and the bark being a smoky, salty treat.  They blend well together and with the sides of pickles, onions, and slaw, but the brisket is even better on its own.   The slaw was good, non-traditional.  It lacked a creaminess that I tend to prefer to balance the spice of most places, but seemed unnecessary without a hot barbecue sauce to sit opposite of.  It was crisp, not soggy, and had a bit of a kick of its own that was more than acceptable for a side. The ribs were frankly a disappointment.  For a place that seemingly slow-cooks the brisket into a juicy, meaty pudding (in the best sense of the word), the ribs were fairly dry, and lacked the juicy, slow-cooked texture that was imparted onto the brisket.  The flavors were good, but the cook was fairly inconsistent.  It's understandable why this is not called "rib-town". This is a stripped down BBQ joint at its most skeletal.  Help yourself to a roll of paper towels and hot sauce, and be prepared to share and get your fingers dirty.  You can make yourself a 'sandwich' of sorts by grabbing the brisket with your wonder bread and slopping the pickles, onions, and hot sauce on with it, but its at its best on its own.  If you want fancy table service, this is not the restaurant for you, and yet the atmosphere of the restaurant is one of the things that will keep me coming back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282579365; Sentiment_Subjectivity (from 0 to 1): 0.587301587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 things first. There's a new Sheriff in town. The Brisket is sublime. As in other-worldly. Truly, as good as anything you'll find in the legendary joints in and around Austin, and I've eaten in most of them.  And the ribs I tasted were impossibly sweet and wonderful. Pitmaster Dan Delaney analogizes BBQ to Jazz -- both are uniquely American art forms and both are under-appreciated by the masses, perhaps due to the power of their simplicity. Combining these 2 elements under the roof of Briskettown is one of the many, many things Delaney gets right. Briskettown does not reinvent BBQ. Great BBQ does not need reinvention. It just needs to be faithfully, artfully recreated, which is is, using only five (no kidding) ingredients: salt, pepper, heat, smoke and brisket. Thats it. Seriously. How then, you say, can the output be so fucking amazing? The "secret sauce" (there actually is no sauce, and you won't need it) lies in Dan's unrelenting respect to his craft. And patience. Dan is a perfectionist, in the best sense, and it shows throughout. This past summer's Brisket Lab, was exactly that. A painstaking process by which Delaney broke down and then reassembled all of the critical elements of great Brisket. The cooking is done ONLY with wood as fuel. I mean, the man won't even light the wood with a match, but rather uses only flaming butcher paper. Practice makes perfect and Delaney practiced. A lot. The brisket slices beautifully, yet falls apart at the slightest prodding. A knife is unnecessary. The outside is perfectly charred, with just the right balance of (yes) salt and pepper. The intense flavor comes mostly from the rendering of the fat, so DO NOT be afraid to order at least some of the meat on the fatty side. And do yourself the favor, at least once, of closing your eyes and eating a full on fatty cut of meat. There will be no gristle. Rather, it will melt in your mouth, like perfectly prepared marrow. The sides are exactly what you need. A touch of raw onion, pickle slices, a lovely sweet cole slaw, with a touch of basil, and a slice of (soon to be freshly baked) pullman white bread.  Swig it down with a fresh, cold brew. Enjoy the live music (usually from the French Quarter) and relax in a no-frills, but beautifully woody environment. Yes, there will be a line. And yes, the meat will run out fairly early, fairly often. Deal with it. Briskettown is worth every bit of the wait. I'll be going back very soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.223514955; Sentiment_Subjectivity (from 0 to 1): 0.558906724 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a fan of Dan and his BBQ since I attended one of the early BrisketLabs last summer.  I was so excited to try the restaurant and it is absolutely amazing.  It is the best brisket I've ever tasted and I've had a lot of brisket.  It is certainly the best brisket in NYC.  The brisket is juicy (even the lean) and flavorful with an incredible peppered "bark".   I hear he is about to introduce ribs to BrisketTown - can't wait to try those.  I'm sure they will be amazing.  From now on, whenever I want BBQ in NYC Delaney Barbecue will be my choice.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.528928571; Sentiment_Subjectivity (from 0 to 1): 0.587698413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: best bbq EVER!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate there on the official opening day. The brisket was no-non sense. Hands down the best brisket I've ever had! The atmosphere was perfect for the food and I enjoyed the live band. The place almost had a Western movie feel to it without the swinging doors, and I loved it. BrisketTown was more of an experience than just another meal. Can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.408978676; Sentiment_Subjectivity (from 0 to 1): 0.454320988 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 manages to mess up dishes that are delicious everywhere else and charge way too much. At least the service is terrible.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.11875; Sentiment_Subjectivity (from 0 to 1): 0.64375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to really enjoy the place for the relaxed vibe and good cocktails. However I've had a few recent terrible experiences with the service that have led to me give a bad review. Most recently during an attempt to get brunch, we waited 45 min o get water after repeated requests (we eventually walked to the bar to get it ourselves), 1 hour for coffee (the waitress said there was none brewed an yet we saw people who had come I after us being served) and after 1.5 hrs of waiting for an omelet and repeatedly asking where our food was, the waitress finally checked and told us that whoops, the order was never put in. No apology. When I asked if she could rush the order (my friend had a flight) she said that no, she had to have the orders made for all the tables that came in after us, rather than rushing ours to rectify her mistake. It was really disappointing and added to he recent poor and slow service i had experienced. It's too bad because the food is decent and the cocktails are great but the service just makes it a no go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.031372549; Sentiment_Subjectivity (from 0 to 1): 0.576470588 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bijan's is a beautiful surprise, if you're new in the neighborhood, as I was.  And Henry, the barkeep and uber server, makes you feel welcome and gives great advice on the menu.  This is an oasis in Brooklyn.  I kind of hate to advertise it, because I like it to myself.  But you must go.  I had a calamari dish that was delicious and a new rose that is both dry enough and tasty.  A pleasure.  And the decor is interesting, if you love art and atmosphere.  Good pour by Henry, behind the bar.  I'm going back.  The owner seems nice, too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.350356506; Sentiment_Subjectivity (from 0 to 1): 0.694652406 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hell yeah! Great intimate rustic ambiance. Delicious food. I don't really have any complaints. My waitress could have been a tad more attentive, but it's all good. This is a great spot if you're not necessarily looking to be seen but want a neighborhood favorite. Very comfortable setting. I enjoyed the roasted chicken and sage shrimp. I'd definitely come back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.368; Sentiment_Subjectivity (from 0 to 1): 0.696666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The perfect way to. Spend a Saturday night .. Clean and cozy perfect atmosphere for an intimate night with your significant other..delicious wings. & Henry makes a mean drink.. So happy to have found a local spot we can enjoy; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.362916667; Sentiment_Subjectivity (from 0 to 1): 0.71125 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great local bar with a cozy atmosphere (fireplace going during winter), super friendly bartenders and staff, not too cramped or crowded, excellent food. Always my go-to spot for any night of the week. Best in the neighborhood!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.472619048; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This cozy Brooklyn restaurant is for sure a win no matter what, either if you're swinging by for lunch, brunch, Happy Hour or dinner. With one of the most knowledgeable wait staffs in the industry, you will be guided through their delicious menu of delicious meals & divine desserts while you soak up the ambiance. The vibe is unrivaled and on the weekends you can swing by and grab the amazing Bijantini from the bar or enjoy the other great drinks that are available. Bijan's is defiantly a keeper!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.547916667; Sentiment_Subjectivity (from 0 to 1): 0.705324074 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I wanna let you in on one of Brooklyn's best kept secrets. I am a resident of Chelsea one of New York best bar & restaurant scenes. But it can get loud and crazy due to it being a tourist attraction. I wanted to try something different low key and quaint. So a friend told me about Bijan's. My girlfriend and I went on a Friday night. And to my surprise the spot was Fabulous! The atmosphere was amazing, the decor was on point, very chic and cozy. We sat at the bar  and we were greeted by their bartender Henry. Henry was the perfect host! He was charming attentive and is a master mixologist !! He made me a drink ,with wine and other little special ingredients. The drink was Delish! He also suggested the margarita pizza. It was fresh and delicious!!  The bars owners came up to us, and introduced themselves. They were a very charming couple. To add to this wonder experience it was ladies night. They had an awesome DJ! Overall, the prices, the atmosphere and the service get an A+ from us !!! Bijan's is lucky to have a wonder staff member like Henry!! He went above and beyond. We will definitely become regulars at the quaint place. Thank you Bijan's for the great experience! And thank you Henry for your great Service !; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.372452605; Sentiment_Subjectivity (from 0 to 1): 0.646872668 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: BIJANS is the BEST!!! I love it here. First let me say the drinks are on POINT!! The food is divine and the environment is so welcoming. I go to bijans maybe like once a week, because the people are just so warm and welcoming. The bartenders are friendly and quick with making those delicious "give me more", "pom pom', and my favorite "the bijan" drinks! The food... OH MY GOODNESS, I LOVE THE PERSIAN CHICKEN WINGS!!! The yogurt and herbs is also an amazing dish, oh and the crack soup delicious! The desserts always have these freshly cut fruits (tirimusu)... IM IN LOVE! Lets just say the cooks know how to throw down in that kitchen.The owners Johan and Sepideh are amazingly wonderful people, that bend over backwards just make sure you feel welcome and comfortable. A typical visit to Bijans: Walk in and get greeted with a smile, from one of the many attractive people workng there. They will say hello and i will either sit at the bar or at one of the tables (usually the bar). I will get a glass of water and a menu, after at most 10 minutes I will get to place my order and within an a 15 minute time period (at most) I will recieve a nice meal, and my drinks that I've order. The waitresses never messed up my order and they were always energetic and affable. After I am done with my meal, I am able to enjoy little conversations with the bartenders. I will encourage anyone who likes good afforable drinks, delicious food, sociable people and an comfortable environment, this is the place to go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.46636767; Sentiment_Subjectivity (from 0 to 1): 0.656558642 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had a stop-over in New York last weekend and a friend recommended Bijan's - I fell in love with the rustic, modern and cozy decor! The food was great and the staff very accommodating - I wish they had a place like this near me in London!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.213920455; Sentiment_Subjectivity (from 0 to 1): 0.452651515 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great neighbourhood bar where you immediately feel like a local. Definitely worth a visit if you are in the area although be careful - you may not want to leave!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.24375; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I were visiting Brooklyn and decided to stop by this restaurant as it seemed to have a unique feel to it, especially on a busy saturday. The atmosphere was great and the owners were lovely. We were not disappointed, the Persian starters were delicious and authentic,  and the mains superb- moist succulent meats in ample portions. Will go again if we visit New York again. Staff remain friendly even under pressure.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.526136364; Sentiment_Subjectivity (from 0 to 1): 0.755454545 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really enjoyed this place, the persian wings were spiced perfect not too hot, I liked the Bijan their namesake cocktail it was tropical and had a bite from the cayenne, the tiramisu was really amazing with a nice latte. The music was good trendy hipsterish and the place was decorated in an artsy bohemian style befitting the eclectic heir of the menu; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.60625; Sentiment_Subjectivity (from 0 to 1): 0.84375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently found myself hanging in Brooklyn for the day, and my friend Toni and I wound up at Bijan's at the recommendation of a colleague.  While I usually follow my own favorites, I'm glad I listened this time. The space has a creative vibe and being an artist, I loved that they had abstract impressionism on display.  Didn't even pick up a menu yet and I was like "yessss, like that".   The specialty cocktails are inventive (and tasty).  I don't usually go for a second drink (lightweight!) but I indulged this time, haha. I had the Lime Sumac Chicken and it was amazing, just right. For dessert, I had the Tiramisu, which I was told is a family recipe.  Verdict: To. Die. For. The service was great and how I like it: casual, efficient and not overbearing.  Also bonus was the music selection: eclectic yet fun.   I'll definitely be back!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.199159664; Sentiment_Subjectivity (from 0 to 1): 0.591316527 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everything was delightful. Perfect atmosphere, friendly staff, combined with delicious melds of flavors! Bravo Bijan! I had the bijan cocktail, the shiraz salad, and the pear arugula flatbread.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.84375; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: OH LAWRD!!   Perfect, Perfect and Perfect!  Have you ever had the Persian chicken wings?  Oh, me neither!  I am vegetarian, so I've never had the experience that everyone seem to talk about all the time there.  Anyways, the White pizza is my favorite and the drinks are consistently made with real Brooklyn prices. All these edge Brooklyn places think they are on Park Ave or something. Just saying... I never knew how many people really used Yelp. I never thought my opinion mattered and really it doesn't in the grand schema of things. If by chance it does to you, go check it out for yourself.  I think you'll have nearly the same opinion as I, even if it doesn't really matter. Good job Bijan!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3609375; Sentiment_Subjectivity (from 0 to 1): 0.5453125 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While waiting at bar to get a table I encountered possibly the best bartender I have ever met.( and I've met a lot) Henry was funny and made a great drink The time flee by and when my table was ready we decided to stay and eat at the bar I think it found my new hangout Thanks Henry; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.369480519; Sentiment_Subjectivity (from 0 to 1): 0.600649351 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was great. Service was amazing. Our server Henry was attentive, accommodating, and made eating at Bijans a great experience. I wish there were more waiters out there like him. We will be returning soon. 5 stars for service and food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.62; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: great food, good drinks, wonderful time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.833333333; Sentiment_Subjectivity (from 0 to 1): 0.783333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Deliciousness- chicken wings and pulled pork sandwiches. Craft cocktails made by Alex. Everyone here is so nice- ask for Rena for great service. Best spot in the area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious meal in a great atmosphere on a cute street. I ate the yogurt and herbs, the persian spiced chicken wings and the pappardelle. I had the jalepeno margarita too. The yogurt an herb dish was delicious - it reminded me of the mos'o'khiar my mother would make. The chicken wings were cooked so that they were tasty and crunchy instead of greasy and fatty. And the pappardelle was delicious (I love shiitake mushrooms!). The jalepeno margarita was super spicy but I love spicy drinks so I highly recommend it. Overall I highly recommend Bijan's!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.33702381; Sentiment_Subjectivity (from 0 to 1): 0.714047619 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Whenever I have a friend in town, we visit Bijan's because the the 2-for-1 cocktail happy hour can't be beat.  The cocktails are original and unique, featuring ingredients like basil and cayenne pepper.  It's got a Brooklyn feel with all of the plants in the window, local art on the walls and the real fireplace.  I've never stayed for dinner but the mezes and flatbreads are really yummy.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic spot!  Great drinks, great staff.  Cool, laid back atmosphere.  Highly recommend it if you're feeling like you just want to relax and have a good time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.472857143; Sentiment_Subjectivity (from 0 to 1): 0.598571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is amazing, I loved it so much that  i have been back many times and brought lots of friends with me .We all love this place .Food is amazing .Sunday brunch is so reasonably priced, Love their pizza , The drinks are so tasty ,Staff very friendly. I am glad this place is in brooklyn and near me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.407291667; Sentiment_Subjectivity (from 0 to 1): 0.595833333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love this place. Drinks are great, atmosphere is unique, fun and inviting, and the staff is awesome. Certain nights they have live music like Jazz or DJs. Anyone living close by owes it to themselves to make this place a regular haunt. Hell, I'm going after I write this review. Drinks: Strong, extremely flavorful Food: Wings are the best I've ever had - and I eat a lot of wings. Pizzas are okay, Burger's are best when ordered medium rare.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.459570192; Sentiment_Subjectivity (from 0 to 1): 0.602263213 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I work for a local nonprofit and we were so lucky to have a delicious donated lunch from Bijan's today.  The pasta with mushroom sauce and the grilled vegetables were fantastic!  I wish we could enjoy and provide our clients with food this amazing every day. Thank you Bijan's!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.528472222; Sentiment_Subjectivity (from 0 to 1): 0.688888889 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bijan is the best bar I have been to in Brooklyn so far. No joke. There is something downright mesmerizing about the vibe there- spectacular ambience, cocktails, and the most personable bartenders (Larry and Megan) that I have yet to encounter.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.68 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great local lounge spot! After work and regular nights have had a great time here. Awesome bar tenders and cocktails...Also have seen some amazing dj sets here weekends!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.558333333; Sentiment_Subjectivity (from 0 to 1): 0.579487179 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: From the ambience, to the service, to the drinks & food, this has become one if my favorite spots in Brooklyn. The food is AMAZING! Have not had one thing I didn't enjoy. My faves are the burger, the chicken breast, the steak frites, and the truffle mashed potatoes. Henry the bartender is wonderful and make great drinks!! A must go in Brooklyn!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.508333333; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wife and I had heard of Bijan's before but never had the chance to eat there till last week. The interior is really warm and friendly where we sat for an hour or two ordering drinks before looking at the menu. One of the waitresses recommended several appetizers which we absolutely loved. My wife is vegetarian and I'm not but the menu served us both. For the main course I had the chicken and my wife ordered the thin pizza. I believe they make their own bread! We both enjoyed the service and highly recommend it to our friends. It's a relax environment to hang out with friends and enjoying each other's company with many tasty options on the menu. Since I live near by, I think I'd make this a regular place to visit.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.197825312; Sentiment_Subjectivity (from 0 to 1): 0.517171946 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch experience yesterday wasn't necessarily the best I've ever had but our server, Henry, did everything he could to make sure we were okay. He was obviously very busy and the restaurant was dealing with some sort of technical difficulties. The music kept going on and off. I ordered the Persian Chicken Salad Sandwich and my husband ordered the lamb burger. It definitely took longer than it should have to come out but Henry was so nice and he kept talking to us assuring us that it would be out soon. When it finally did make it to our table everything was delicious:). When we asked for our check we were informed that the computers were down so we had to pay cash which was a little annoying because I like to earn my rewards points but what can you do. Overall it was a bit of a long lunch but our server showed us that good customer service can make up for a lot! Thanks, we will definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.175597222; Sentiment_Subjectivity (from 0 to 1): 0.575888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Magnificent food, good ambience. As an Iranian, I find the fusion, Persian-inspired cuisine very well balanced. Don't miss out on the cocktails too!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 stopped in here with my hubby for a drink before dinner. I'd been with friends many months ago and remembered a fun cocktail menu. I ordered a martini and he ordered an old fashioned. They were both terrible. The old fashioned was way too sweet and totally watered down. My gin martini had ice in it and way too much citrus. The bartenders were distracted and the service was poor. We won't be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.000505051; Sentiment_Subjectivity (from 0 to 1): 0.417171717 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 terrible.  The service is painfully slow.  Our order came out wrong, and the waitress did not handle it well.  The ambiance, decor, and menu are all lackluster.  If you're in the neighborhood, do yourself a favor and walk one more block to Mile End or across the street to Fast & Fresh Burrito.   The food and service at both are excellent, and even though Mile End often has a wait you will still get served faster than at Bijan's.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.028571429; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can't say enough good stuff about this place...it's my favorite neighborhood hang, and I don't even live in the neighborhood! LOVE the Persian-inspired menu...from the wings to the steak to the mezes; I've yet to have a less than stellar meal. And the servers...warm, funny and make everyone feel like a regular. I can't stop coming back; it's well worth the trip!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.234435262; Sentiment_Subjectivity (from 0 to 1): 0.426689977 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really great place in the heart of downtown Brooklyn, Bijan's somehow is able to straddle the nearly invisible line between great food and can't-be-beat Brooklyn prices. The cocktails in particular are stupendous, with a seven hour HH that is somehow longer than the the "regular priced" drinks. I also really like that all of the bartenders are very chill, relatable people, who can be themselves and still make a great drink. Get the chicken wings and the Lamb burger!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.256666667; Sentiment_Subjectivity (from 0 to 1): 0.513525641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh. My. Gosh.  The food... The drinks... topped off by the comfortable, casual, hip atmosphere.  I am still savoring the basil shrimp, the sumac chicken with truffle mashed potatoes, and the Gimme More Vodka cucumber deliciousness.  I could easily eat here every night and never tire of it...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.046666667; Sentiment_Subjectivity (from 0 to 1): 0.79 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this has been one of the best meals I have had in a LONG time. I came with several friends and we ordered a little of everything and everyone was very happy. We had the basil shrimp (twice), mixed olives, and calamari for apps. They were all very good for different reasons. The connecting thread is that everything was so well prepared. Out drinks were great (their Gimme More was especially good). I ordered the steak and it was perfectly cooked and the truffle fries that went with them were good. The salads were awesomely fresh and delicious. The staff was friendly, but honestly, even if they cursed me out, the food would have made up for it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.530416667; Sentiment_Subjectivity (from 0 to 1): 0.637777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the good and the drinks! Happy hour great deal till 7pm (2 for 1 cocktails). Calamari with awesome curry sauce. Had Lamb burger and truffle fries! You can never flog wrong with truffle fries!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.532291667; Sentiment_Subjectivity (from 0 to 1): 0.808333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ahhhh Bijans..... The first bar I visited on my move from Australia to New York. This place is filled with the most lovely and interesting people....... friends for life!!! The food - 9/10 and I am picky with my food. If you are after a chilled day or night with some great food and drinks, you will struggle to find a better place in my opinion.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.507865767; Sentiment_Subjectivity (from 0 to 1): 0.585984848 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bad service, they told us no dinner till 5 but were serving dinner to other guests. We decided to go but an automatic 25 % gratuity for poor service makes it a one star experience; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.408333333; Sentiment_Subjectivity (from 0 to 1): 0.547222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have eaten at Bijan's many times and tried almost all the food on the menu and have never been disappointed.  It's hard for me to pick one favorite dish only but I would recommend you to try their PERSIAN SPICED CHICKEN WINGS and GOLDEN SEAFOOD STEW. And if you save room for dessert, try their homemade tiramisu, the best! And if you live in Manhattan, it is easy to get there, the restaurant is just a few blocks from the station. So if you would like to enjoy a cozy restaurant, reasonable prices, and a staff that always makes you feel welcomed, try Bijan's; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.102002165; Sentiment_Subjectivity (from 0 to 1): 0.630357143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spot in Brooklyn if you are a local or visitor wanting that local connection. Very chill environment. They had great decor with local art work on the wall (the bartender was actually the artist). Menu had a nice variety. I had the baked chicken with a side salad instead of the mashed potatoes and it was excellent. Juicy and flavorful! I had their signature cocktail called the Bijan...great if you want a vodka drink with a kick! Will definitely be back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.217708333; Sentiment_Subjectivity (from 0 to 1): 0.445833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 awesome!  Highly recommend! Food, drinks, music, you name it!  Ask for Henry, he is the best!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.613333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like this place!! I love the atmosphere and the decor.  The 2 for 1 happy special is great and the drinks are really good.  In terms of food I ordered the pistachio crusted salmon and it came with mashpotatos and string beans.  The salmon was cooked really well. I would like to comeback and try the lamb burger; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.524234694; Sentiment_Subjectivity (from 0 to 1): 0.560204082 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We had a large table and there was literally as minimal service as possible (20% gratuity rule abuse I presume). The table had empty glasses all around for the majority of the evening. The food is alright, nothing special with little variety. Stick to the bar.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.030654762; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Five stars folks!!! You heard me!!! So let's be honest, New York. You can drink anywhere. What we are looking for is good people, great service, and a cocktail that is the real deal. So come to Bijans! Just come. Ask the bartender to make your fav drink. Yeah, the bartender with the warm brown eyes and the dimples... His name is Alex! He's friendly and fun, and he mixes a mean Frisky Whisky! The whole fam is great! Just come already. But leave your hoity-toity Manhattan attitude at home. This is Brooklyn...we're chill! Written by the girl who lives around the corner and freakin LIVES in this place!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.429158058; Sentiment_Subjectivity (from 0 to 1): 0.558367769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely love this place!!!! The wings are to die for! The pistachio crusted salmon is one of the best options on the dinner menu, and the drinks... Two for one happy hour... Pure awesomeness! When I walked in Friday night, I was instantly greeted by the staff, they're so nice and friendly. The place was dimly lit, with tealight candles on the tables and great music, setting a cozy and friendly atmosphere. I was served by Kadri and she was such a doll. She greeted us with a smile and made sure everything was great and we were content. The bartender Alex was also awesome, all along friendly guy. Great place to go relax, have great food and drinks, and leave with a smile on your face. What else could you ask for???; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.499642857; Sentiment_Subjectivity (from 0 to 1): 0.620277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Order was screwed up, in addition the lamb burger ordered medium showed up rare and bloody (the server promptly fixed both of these problems). The beet salad was made with what tasted like canned beets, and the shrimp with spaghetti squash was exceedingly mediocre.  And then we saw a mouse...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.225; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This spot is a rare GEM.  I went here for Happy Hour and Dinner with my friend on a Thursday night.  The drinks were well made by the awesome bartender, not watered down at all.  He smiled and even sparked up a conversation with me after only me being their a minute; I wish I would have gotten his name.  Our waitress was Jaimee and she was by far very personable, knowledgeable about the food and was able to handle the growing dinner crowd without a blink of an eye.  She really made the night more enjoyable because she was attentive.  Now onto the food; the basil shrimp and spaghetti squash was delectable, the wings had just the right amount of sauce both appetizers were portioned to share.  The lamb burger was well seasoned and overall delish!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.342509921; Sentiment_Subjectivity (from 0 to 1): 0.581225198 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 love LOVE Bijans especially HENRY!! He's the best!! We talk for hours!!!! Oh and the food is DELICIOUS too!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.583333333; 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: Hands down best place for happy hour and appetizers in Downtown Brooklyn! Great atmosphere, a breath of fresh air in comparison to Fulton street. 2 for 1 happy hour. Rena and Alex are amazing!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.668849206; Sentiment_Subjectivity (from 0 to 1): 0.676984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was great and the owner was warm and gracious. I wanted a certain appetizer but it wasn't available so he offered me an alternative. It was different from anything I had ever had but I was enjoying the other dishes more and couldn't finish it. He offered to take it off the tab since I didn't enjoy it as much. I appreciated the gesture which shows he cares about people truly liking the food. Speaking of which, the vegetable grill bread and chicken wings were fantastic! Also, the fireplace adds a cozy feel to the whole space that is perfect on a chilly night. My friend and I hung out there a little longer than we should have but never felt rushed or pressured to leave. Excellent meal and great hospitality!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.294830827; Sentiment_Subjectivity (from 0 to 1): 0.639285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Bijans. They have a good happy hour, the menu is not big but everything is good, and the drinks are affordable. The space is small but it's not uncomfortable. Sometimes they have live music. But the service if you are sitting at a table is usually really slow. I like the Lamb Burger and the Grillbreads. Very reasonably priced.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.255151515; Sentiment_Subjectivity (from 0 to 1): 0.597777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 neighborhood place. Good food. Very relaxed. Nice place you can just hang out and read a book or something.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.6625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The service was horrible. The staff was nice enough, but nothing was right. Each order was late, wrong, or forgotten.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.152380952; Sentiment_Subjectivity (from 0 to 1): 0.755952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 two stars would be lower had it not been for a dinner I once had here which was decent. We took out of town friends here for brunch.  Options were not many.  They had no syrup for my friend's pancakes and gave him a little compote instead (he had to ask for more and even then it was just a little).  My vegan friend (I'm first to admit they're annoying to eat with) had nothing to choose from because the chef is apparently inflexible and wouldn't even give him a plain salad for the flat-price of $10 brunch price (I mean, instead of giving him eggs and ham or sausages which would cost a lot more you can't give someone a plain salad with nothing on it??  Seriously?)   The worst part was that they have no refills for coffee.  Seriously?  For a $15 brunch?  I've gone to middle of nowhere towns and had free refills of coffee.  Bijan's cups were tiny, and for $15 you can't give me a second cup of bland coffee?  I.  Just. Need. My. Coffee. In. The. A.m.   Of course my and my fiance's dishes were nothing special.  Probably one of the most unappetizing brunches I've had of all time.   We were embarrassed to have taken our friends here, to be honest. You want my advice?  Give free coffee, it costs nothing.  And give people some options besides what you have, for man's sake.  Or get rid of your chef!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.05702381; Sentiment_Subjectivity (from 0 to 1): 0.585595238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food and atmosphere! Descent prices and super nice staff. I love coming here whenever I'm in Brooklyn!! Highly recommended!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.592916667; Sentiment_Subjectivity (from 0 to 1): 0.711333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friends and I stumbled upon this place one night. We sat for hours, sipping on drinks and having dinner. The staff didn't mind at all that we were there for such a long time, and the service was great. Cute atmosphere, and delicious food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.73 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The drinks and food are AMAZING! Whenever I visit my sister we come here we call it purple bar because of the decor it's so cute and we always leave happy the happy hour deal is great and wait stuff and bartenders are the best! Definitely recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.664285714; Sentiment_Subjectivity (from 0 to 1): 0.778571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was good enough but I got awful food poisoning after eating here. Had the baby greens salad, loaded with shallots and onions (onions weren't listed on the menu), papardelle pasta with tomato sauce and mushrooms. The water tasted and smelled funny. Cool ambiance, but I'm never going back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Overall just OK, maybe it was an off night for the staff of Bijan. Cold reception by waitress and watered down  jalapeno tequila. Appetizer was basil shrimp and it was alright, but the maim dishes, we had steak and fries and the salmon, left MUCH to be desired. Salty fries and very salty mashed potatoes that had NO truffle as advertised. Bland and overcooked salmon. Steak was fair but not worth the $70 price tag!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.049027778; Sentiment_Subjectivity (from 0 to 1): 0.412222222 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A group of my friends and I went to Bijan's for lunch.  We had 3 babies with us, and the waitress was sweet and accommodating.  She helped us find a seat with room for 2 strollers, but wasn't in the way.  The food was great!  I had the salmon and it was delicious!  The service was really great as well.  One of my friends left something at the table and the bus boy actually ran after us to give it to her.  I will definitely return to Bijan for another meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.535714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was outstanding and friendly waitress. The Lamb Burger with Bleu Cheese was flavorable beyond belief, The juices dripping were euphoric.The Margherita Grilled Bread was outstanding. Nothing but aces on this place. I would definitely go back; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.34375; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My husband and I went to Bijan's Thursday evening. The food was delicious. The service was excellent. I had the lamb burger which was the best burger I ever ate and the hubby had the special pizza with sugar snap peas, fava beans, fresh tomatoes with goat cheese....delicious! Henry the bartender makes a tasty strong drink and Rena the hostess/waitress was awesome. It was a wonderful date night. Can't wait to go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.68505291; Sentiment_Subjectivity (from 0 to 1): 0.678306878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brunch/cocktail deal and some of the best wings in the area. And our waitress (Rena) was awesome!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.933333333; 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: This has quickly become my favorite brunch spot! For only $15 I get DELICIOUS food, to die for drinks, and a fantastic crew. Rita is my favorite waitress, she rules. Did I menton how cute the building / interior are? Well deserved 5 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.479761905; Sentiment_Subjectivity (from 0 to 1): 0.914285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very first day I moved to Ny I found myself walking down Hoyt st. in delightful awe of the cuteness of the block we were on. I saw that adorable purple spot and knew I had to check it out. It was one of those days where it's 100 degrees and I was literally dripping sweat which is very new for me being from San Francisco. The waitress Rina (love at first sight) immediately brought us a giant jug of ice cold cucumber water told chatted us up a bit and before I knew it she had whipped me up the best (and first) ginger-rita of my life!! I guess the bartender was having some... issues but I think it was a blessing in disguise. oh that ginger-rita!! I think I need one now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.327915339; Sentiment_Subjectivity (from 0 to 1): 0.62543618 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Bijan's how I love thee.... First off, dear Iranians, please don't be sad, this is not Persian food. The food is ridiculously good, but don't show up expecting fesenjoon and kabab. It's more Persian fusion- which isn't a thing, but keep an open mind. Bijan's is a great mix of locals and newbies. The food is amazing, the staff is prone to giving hugs and remembering details about your life. My favorite thing is that if you walk in by yourself the bartender will almost always make sure to introduce you to the person next to you. Or maybe my favorite thing is the "Persian" Chicken wings....or the hanger steak frites...or is it truffle fries? Or maybe my favorite thing is the Persian kiss...or maybe Henry's Special Cucumber Concotion....or maybe... Or maybe its Kadri or Henry or Alex or Ross or the Ericas .... I guess its all my favorite. The kind of place you can have a low key birthday party, a glass of wine or a nice date at.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.315357143; Sentiment_Subjectivity (from 0 to 1): 0.73968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have to admit I'm a fan of unusual cocktails,   The "Pump Up the Jam" (whiskey, pumpkin spice, stimulating cayenne with ginger ale) is unusual and interesting.  Now drinking the Gin-X (gin and tonic with elderflower liqueur) while completely enjoying the Lime, Sumac, Rosemary Chicken Breast.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.16; Sentiment_Subjectivity (from 0 to 1): 0.81 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place to go for a quick lunch or happy hour. I have been here three times and love the laid back atmosphere and the friendly wait staff (especially Henry). The grill breads and wings are great for sharing and paired with the fun cocktails makes for an awesome happy hour.  The burgers are also fabulous. Look forward to trying more menu items.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.508333333; Sentiment_Subjectivity (from 0 to 1): 0.676923077 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go for the medicinal cocktails, stay for the laughs with Henry! I don't go to Brooklyn much, but when I do this is an absolute must! I stumbled in, one very hungover morning with a friend, and Henry entertained us for hours.....I don't know how he does it, because he managed to juggle everything from drinks to what must've been a dozen orders in the brunch rush and keep us rolling on the floor with his hilarious stories and quips! The pancakes were also amazing! I don't know what they do with their butter, it's got a lemony herb undertone and is delish!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4425; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Henry the bartender makes a stop in at Bijans totally worth it.!He's pleasant and funny and makes everything all better after a long day at work. The food is fresh and amazing and the cocktails can't be beat.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.376190476; Sentiment_Subjectivity (from 0 to 1): 0.623809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 everything about this place. I've been going since opening night and try to swing by for a cocktail at least once per week. Food's good too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.533333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bijan's is a recent find for me, and I love this little spot.  Bartenders and all the staff are laid back and very friendly. The wood-burning fireplace is a real treat when it's cold outside and adds to the warm, cozy atmosphere. You can't beat the 2 for 1 cocktails during happy hour. The $10 regular price is a deal by NYC standards, and the 2 for 1 special makes them an ultimate bargain.  For a festive feel, I go with the bubbly Persian Kiss.  When in more of a martini mood, I opt for the Bijantini with vodka and ginger (real ginger... nice, fresh and spicy.) On the food side, my experience so far has been limited to the yogurt and herbs and the calamari. Both were excellent. The crowd seems generally chill, and perfectly comfortable for those going solo, couples and small groups.  Enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.211428571; Sentiment_Subjectivity (from 0 to 1): 0.559648352 [/INST] Not Spam</s>