Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I like the idea that you can have an AYCE bbq and/or hotpot here. The price is pretty fair also. My friends and I chose to only have the bbq but you can apparently have both for a bit more in price. The food was average though and the choices were kinda limited. They still had all of the really popular selections though so it was mostly fine. The seafood pancake is delicious also! We kept asking for more and more of the pancake. We had a pretty large table and the place was really clean as well. We also got a free scoop of icecream after our meal which was nice. It is apparently recommended to have a reservation for this place. Unfortunately, my friends and I did not know that so we did not make one and ended up having to wait for around an hour before we were seated. They do have seats near the entrance though so it wasn't too bad I guess.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.241723356; Sentiment_Subjectivity (from 0 to 1): 0.668480726 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolute mastery of the brunch. The Applejack Old Fashioned was perfectly done. My meal - Duck Confit Hash, wow. The crispy Long Island duck confit hash made for a delightful egg basket as the yolk crept throughout. A pickled ginger topping and vinegar-laden side salad made for my favorite brunch to date in the state.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.407142857; Sentiment_Subjectivity (from 0 to 1): 0.785714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 carnitas taco was delicious. I should've ordered four of these. Instead, I opted for the carne asada burrito which was disappointing. The protein was not very flavorful, and it was too overfilled with rice. Just get tacos if you stop by here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When it comes down to it, one is always more saddened and disappointed when a small lack of insight tarnishes an otherwise brilliant idea.  This is what drives me to only three stars.  $14 noodles- that is actually fine with me and they are well worth it!  Listen managers and owners of this place- the general public is more than happy to pay a lot of money for your ramen noodles.  What every sane person is not willing to do is to wait 1-2hrs for this dish.  PLEASE- just reconfigure the seating and wasted space in your restaurant and you will easily double your profit and make a lot of us ramen-lovers very happy!  Is ramen not a traditional QUICK and sloppy, slurp up on a bench or bar type of food??  Why do you have these huge tables that can seat like ten people, and only fill them with four?  Why is there not a long counter that can sit 50??  Why do you not serve noodles at your bar???  Listen- if we want to go to a nightclub we can go to a nightclub.  We come here for noodles.  PLEASE, reconfigure the seating to minimize the wait, and instead of going to your place 1 time per month on an off hour night, I will easily be there one time per week.  I am almost certain that your profits will double!!  PLEASE- get off the drugs and turn this into a REAL noodle bar!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161588771; Sentiment_Subjectivity (from 0 to 1): 0.53186361 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for my girlfriend's birthday.  We timely arrived for our reservation and were "greeted" by a cold hostess who asked us to wait a few minutes at the bar.  The bartenders were slow and rude.  We had a cocktail and 20 minutes later, without an apology or explanation, we were seated.   The place is very nice looking and things seemed to look up when we were seated.  We were wrong.  The service continued to get worse.  While the servers and waiter were not rude, they were completely incompetent.  It took us about two hours to finish a simple meal.  Our entrees must have taken an hour to come out.  Our white wine went warm since they would not bring our bottle back to serve us.   This place would be bad if it was inexpensive.  Given its cost, it is pretty terrible and I will never return. A few days later we went to CraftBar down the street and had a 180 degree experience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.146277778; Sentiment_Subjectivity (from 0 to 1): 0.478968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm starting to like this bar/lounge on Rivington.  I've been here a few times over the last year or two, but it never made much of an impression on me.  But tonight, I had a mojito, which was tasty, and maybe $7.  Not bad.  Plus there were cute girls at the bar helping me order.  Hello! It tends to have a decent crowd, good mix of people, and a lot of mingling.  Yep, I'll come back.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.20462963; Sentiment_Subjectivity (from 0 to 1): 0.377777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: EVER GET THE FEELING YOU'VE BEEN CHEATED? My girlfriend had the box of chicken but I made the mistake of ordering the catfish (it's been a long time since I had a decent fish 'n chips - so sue me). Thoroughly, heartbreakingly disappointing. $28 bought us a small order of chicken with sides and 3 ounces of deep-fried cornmeal with a heavily salted strip of catfish jerky (i don't know what else to call it) and a tablespoon of coleslaw. The biscuit was also dry and flavorless. For this price I would have expected higher quality ingredients and enough fish to cover a piece of toast. The coleslaw and sauce were pretty decent but not enough to make up for the dismal sight staring at me from the cardboard box. At least I'm happy I didn't eat in, since the place was loaded to the (brown and smelly) gills with the worst case of Billyburg hipster-entitlementhon atmo I've seen in a while (including the staff - which would explain why the place is all 'tude and no game). Don't believe the hype and avoid the fish at all cost.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.107407407; Sentiment_Subjectivity (from 0 to 1): 0.640740741 [/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: Share it all: pork buns, brussels sprouts, sausage & rice cakes, calamari. End with whatever dessert the attractive person behind the bar suggests you order. There you go, that was easy.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.277777778; Sentiment_Subjectivity (from 0 to 1): 0.844444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Worth all of the praise it's receiving. We went during its soft-opening and had a wonderful experience. Service was excellent as was the taste of the food with exotic Middle Eastern twists. The space is gorgeous; lofty and charming at the same time. I highly recommend going to Gato. One star deduction for the $17 appetizer section which was exactly 3 bites -expensive for what it is but very flavorful nonetheless. The pork chop was the best item I had on the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.408461538; Sentiment_Subjectivity (from 0 to 1): 0.555 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Who says east coasters can't make a good taco? Okay, everyone and their mom. I was really skeptical coming here after reading up on the owners bios as they're from NY and CT, but they proved me wrong and I hate being proved wrong. Seriously. The tacos are on the pricier side however each one is intricate and it's own creation. Located somewhere in the mid-back part of Essex St. Market (by the fish section), the petite station has a few stools to sit on, a cute little kitchen where the owner(s) cook/prep/serve the tacos and a mini Blue Bottle counter. We ordered the Guaco Taco, Cola-braised Pork Taco and the Fish Taco. All were good but I'm kicking myself now for getting the Guaco when I really should've ordered the Chilorio Brisket. I'm a meat eater not a herb-ivore. All the more reason to come back. One of the best parts, they accept CC. Get your taco on.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.09877451; Sentiment_Subjectivity (from 0 to 1): 0.545098039 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think it's excellent, there's just no room for variety. Once you've had it, you've had it. There's no secret menu (a la in'n'out), there's no monthly specials, its just the 4 permutations of what you can buy. And... that's it. To be clear - those 4 permutations are all excellent. My favorite is the lamb/chicken combo over rice. And, for Jesus' sake, be careful with that red sauce. It will mess up your next day otherwise.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.280555556; Sentiment_Subjectivity (from 0 to 1): 0.584259259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there before a show on a Friday night.  Place was so busy but they got us in, served us accurately and efficiently and our waiter, Ryan, made us feel like old friends - he was efficient, accurate and attentive.   I've been there many times over many years and each time have felt welcome and comfortable.  Good bartenders too!  If you're a tourist and there before a show you should know that this place is also full of locals.  Says something about it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.446590909; Sentiment_Subjectivity (from 0 to 1): 0.592424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wonder what Madonna ordered here?  I had a great cup of coffee, suprisingly delicious avocado fries and cheese and steak empanadas with a yummy green onion sauce.  I'd have all of it again.  The restaurant had the feel of a french bistro in williamsburg, it was located within a block of the subway station and close to bedford avenue.  As I left, I walked by someone who had just ordered huevos rancheros.  I think i'll be having that when I come back again.  One downfall is that this is a cash only place, but don't worry, they have an ATM outstide on the back patio...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.38125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Open late... awesome ceviche and awesome drinks; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love the red white and blue special which comes with oysters and wine or beer! Their lobster roll and fries is great combo too! Their food is always fresh and delicious! They shuck the oysters right there and comes with the vinegar, mustard and hot sauce! All equal good! The lobster roll is stuffed in the bread and the bread is nice and buttery. The wait is usually pretty long!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.367142857; Sentiment_Subjectivity (from 0 to 1): 0.543809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really are days that you wish you were French enough that you could take Mondays off and just in here all morning sipping coffee, lingering over croque monsieur and soaking in the atmosphere. This is definitely a spot I would return again and again to on days I was feeling under the weather and needed cheering up. Beautiful french bistro atmosphere, bustling crowd, so much to visually feast your eyes on with the ornate bar and pressed tin ceilings. The food we had was really beautiful, the croque monsieur was rich and satisfying, the coffee perfectly made. This place is a must, assuming you can get a seat!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.343181818; Sentiment_Subjectivity (from 0 to 1): 0.540909091 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is the best ramen ever. I love their  ramen and spicy ramen. But there is always wait for 1-2 hours for one ramen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Competent ramen, but not comparable to Ippudo, in my opinion. Long lines at dinner time, cramped quarters, and strange electronica blaring from the speakers, at least when I was there. I prefer Terakawa up the street, and even though this is my neighborhood I regularly head to Astoria for the ramen at HinoMaru - wonderful, authentic fare without ever waiting to be seated.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.228571429; Sentiment_Subjectivity (from 0 to 1): 0.491941392 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tabla was one of my favorite restaurants and ever since it closed, had been eagerly anticipating the opening of a new Meyer/Cardoz venture.  When the concept of North End Grill was first made public, I was skeptical.  Chef Cardoz was arguably the first to introduce New Yorkers to "modern Indian fusion food" and the thought of eating American grill didn't appeal.   I was spoiled.  By Tabla. But I went to North End Grill for lunch (currently no dinner service) with an open heart and an empty stomach.  The service, like all Danny Meyer establishments, was impeccable.  I was expecting some hiccups, given that the restaurant had only been open for a week, but was pleasantly surprised by the professionalism, warmth, and personality of the staff.  Mr. Meyer, your "hospitality fetish" has already been stamped!   I didn't sample all the food that our table ordered, so I can't comment on that.  I had the Pumpkin Crab Soup, which was delectable and most certainly reminded me of Tabla, and the Bacon-Shrimp Burger with Spice-Dusted Fries.  While the fries were perfectly crispy and ignited familiar taste memories of the spice traditionally dusted on chaat, the savory road-side Indian snack, the burger was disappointing and almost anemic looking.  While eating my meal, the shrimp - as an ingredient in the burger - got me instantly reminiscing Chef Cardoz' wonderful Goan Shrimp Curry and after some time, started wondering what would have been.   I can almost imagine it: Goan Shrimp Burger with avocado salsa as a garnish, Pickled Ramps, Spice-Dusted Fries, Boodie's Ketchup (for those that didn't dine at Tabla, this was a favorite condiment re-created by Chef Cardoz after his mother's recipe).  The ketchup would definitely be a step up from the generic tarter sauce that accompanied the fries.  I also found the bun uninspiring - how about serving it grilled?   While my experience left me disappointed, I will most certainly re-visit North End Grill.  Chef Cardoz is one of the most talented chefs around and I suspect over time, his menu will evolve and mature.  As Chef has acknowledged on previous occasions, his way of thinking about food was influenced by different heritages and customs and fusion food, as we know of it today, started for him "in the cradle."  I hope Chef Cardoz can serve us great American food, but with Indian flavors.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.167554668; Sentiment_Subjectivity (from 0 to 1): 0.515861916 [/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 tofu here is GREAT. I don't just mean it's cooked well; more than that, the tofu actually has a lovely, subtle flavor on its own (as well as a nice, semi-firm texture). I loved the tofu trio appetizer (though it's kind of expensive at $17.95), which comes with the three parts of the dish separated (and not mixed together like I expected): four big slabs of semi-warm tofu, a mound of kimchi with some oysters mixed in (random!), and four tender slices of pork. Even my date, who was skeptical about the potential deliciousness of tofu, was won over. I also got the vegetable cham dubu, medium spicy ($13.95). Comes piping hot in a stone bowl but isn't as fiery as the soon dubu I'm used to. Still, the broth had great flavor and was packed with lots of tofu and zucchini. Perfect for a chilly evening.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.153598485; Sentiment_Subjectivity (from 0 to 1): 0.644886364 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place is a mainstay in my rotation. **** for brunch! Place is a fave! Really good food and great prices. Steak and Eggs are a great deal though my favorite are the arepas benedictos w jamon. huevos rancheros and french toast also kick ass. Only complaint is the coffee, weak stuff. *** for other. I think the dinner is good. Fun spot and awesome deals on Tuesdays. Reliably good Latino food. The chips are a unique blend of tubers which go well w the guac.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.621428571 [/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 came. I saw. I ate. & I want to come back for more. The experienced their Greene Machine slice (pesto sauce, mozzarella, ricotta, & black olives) and their Mercer Margherita (fresh mozzarella, basil & marinara). I'm not usually a fan of black olives but adding it with the pesto and mozzarella and ricotta is GENIUS. I want to put that pesto sauce on everything I eat for the rest of my life. The margherita pizza was also superb and I love the little hint of sweetness int he marinara sauce. I will be back because I want to try every single slice they offer. I've tried a lot of pizza places in NYC and this place is one of the BEST.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279441392; Sentiment_Subjectivity (from 0 to 1): 0.433150183 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent steak & frites!!! Very small place, about 6 tables in all and the food was delish!!! :) Will come again; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.288411458; Sentiment_Subjectivity (from 0 to 1): 0.84 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 - FLAWLESS - MEAL!! There were 3 of us and we ordered 6 dishes which the waiter (an attentive, professional, and friendly server) correctly suggested would feed us well. EVERYTHING was EXCELLENT but the DELIRIOUSLY AMAZING dishes are noted below. (1) Pork belly (2) Broccoli Rabe w/ Mushroom, Truffle Oil, Fried Egg = we all gasped at how amazing this was. I would eat an entire plate of this for dinner. Seriously. I will dream of this dish tonight. (3) Corn Cake (4) Pulled pork sliders = GORGEOUS, tasty, slightly sweet and savory (5) Stuffed dates (6)  Chicken Wings Dessert (1) Bacon doughnut = soft pillows of LOVELY GOODNESS (2) Chocolate budino = luscious smooth cool tasty HEAVEN; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.349509804; Sentiment_Subjectivity (from 0 to 1): 0.720098039 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at Cheryl's swings towards Caribbean-inspired comfort food.  The restaurant's comfy decor gives you the feel of dining in a capsized boat, though dim lighting in the back means we usually crowd by the window.  Despite the dishes's  island influences, they are so hearty they seem best suited for winter.   The fish soup daily special was almost bouillabaisse with tasty fresh tarragon.  The BBQ shrimp is delicious, but much more like curry than BBQ.  The tagine is also worth it, and deserts are always solid (save $ with an off-menu oatmeal raisin cookie or brownie).  Our cachaca-ginger beer drinks lacked punch, stick with the rum punch.  The entrees could afford to be a few dollars cheaper, but this is a great spot to follow up visits to the Brooklyn Museum with.   I'd like to try brunch here once, but no free coffee refills is a no-no.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.264795918; Sentiment_Subjectivity (from 0 to 1): 0.390816327 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was so happy to find this gem! The restaurant is small but has a great personality. I went twice in one week during a visit to NYC and I was very happy both times! The service was great, the GF pizza was delicious but I could not get enough of the GF rice balls! Oh and the salad was fresh and crisp! Absolutely love it here! I recommend this place to anyone that wants to experience all the delicious food you may have to put aside because not many restaurants offer GF options. Will definitely come back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.435833333; Sentiment_Subjectivity (from 0 to 1): 0.601111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One word. Wow!!! Blue point oysters totally on point with a pint of PBR. Tuna steak sandwich at 12$ out of this world. Tuna salad WILL feed a small family. Blackened catfish melts in mouth. Awesomeness all round. The Mac n cheese lobster looks divine as the table next to us gobbled it up large portion must share, good for 3 as app. Thankfully I live right next door!!! So I finally had the lobster mac and cheese, I write this with disappointment, it was gritty...not cool. The seared tuna salad, was horrid. We sent it back, even though it was embarrassing. Our server was cool about it. The tuna was so fishy and we could just barely swallow it down. The greens were fit for a pasture, I'm not sure what it was rocket/daisy leaves, either way, it was not sorted in fact there were plenty of old yellowed decomposing leaves in there. The green were hard, like I said fit for a cow. lol Thankfully fish came though, on our next visit, ottomanellis beef burger with blue cheese was excellent as was the cod sandwich. Great take out place too.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.123370686; Sentiment_Subjectivity (from 0 to 1): 0.441679894 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had brunch here recently and am a newly minted Almond convert. Airy, attractive atmosphere, friendly service from the bartender, a menu full of appealing options (the duck hash with poached eggs was great, and heavy on the duck) and the best complimentary bread basket this side of the Mississippi.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.406136364; Sentiment_Subjectivity (from 0 to 1): 0.530454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 want so badly to like this place since it is so close to our apartment, but our two visits for dinner have simply been mediocre.  On our most recent visit, I had the steak tacos and french fries and my boyfriend had poached eggs on a baguette.  My taco tortillas were extremely soggy and broke as soon as I touched them.  I had to eat my tacos with a knife and fork.  His baguette was impossible to cut through with his knife, so he ended up eating the eggs and the bread separately even though they are served as an open-faced sandwich.  The french fries are crispy and good, but overall, the prices are too high and the food too average to warrant coming here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.060128205; Sentiment_Subjectivity (from 0 to 1): 0.485677656 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: sushi is good for lunch. it's not the freshest taste but i can tolerate it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; 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: If you want a fun and authentic experience of japanese yakitori and sake bar, this is the place to be.  With light, small plates of japanese dishes like skewered yakitori meats, sushi and sashimi, or fresh uni means you'll never be bored as you sip and sample different foods and sake.  If you're looking for something heartier, try their pork belly and kimchi or spicy cod roe on spaghetti and an ice cold glass of beer.   I've been here several times but during my latest visit, a friend and I ended up sitting at the bar and ordered one dish after another -- the bartender/waiter was more than attentive considering the amount of patrons and activity going on and even offered his recommendations for sake.  We ordered the wasabi octopus, tuna sashimi, fresh uni, yellow tail collar, beef skewers, fried oysters, pork belly and kimchi, spicy cod roe with spaghetti, two glasses of sake, two Kirins, finished off with two bowls of sesame ice cream. Yes, that was for the 2 of us... Don't come hungry or during the dinner rush; you'll find yourself waiting at least an hour or more.  If possible, come by earlier to avoid the crowds. This place offers more than the usual Japenese cuisine so if you're not accustomed to Japanese foods other than sushi, be prepared to be a little adventurous.  Casual dining setting and a great place to grab dinner and drinks with friends, prices are reasonable for the location when compared to similar yakitori joints you'd find in St. Marks.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.099596774; Sentiment_Subjectivity (from 0 to 1): 0.499731183 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: How this place has so many '5 star' reviews makes me suspicious. Granted, I only got the falafel sandwich, but it was the most expensive one I've bought in the city, it was completely void of any taste what-so-ever and I had to eat it with a fork and knife as it was a mushy mess by the time I got home (two blocks from restaurant). There is good falafel in NYC but I didn't have it here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.160714286; Sentiment_Subjectivity (from 0 to 1): 0.553571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cozy breakfast/brunch spot (though looks like it has a very decent dinner menu - just haven't tried that YET). I had the Rhum Lait Chaud (rum, steamed milk, honey + double shot of espresso) - awesome goodness, and the L'Omelette avec choix de trois (with chicken\, Ratatouille, and goat cheese). Awesome. The dish came with a side of hash browns (actual potatoes - very tasty) and a side salad - perfect sides for the dish. Needless to say that since I've just moved into the area, I'll be a regular over here, FYI - they are apparently well-known for their french toast and eggs benedict. Both on the 'to do/east' list; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.230555556; Sentiment_Subjectivity (from 0 to 1): 0.536965812 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Although I've only tried their infamous corn, there is something about this place that makes me want to come back. Perhaps it was the dimmed lighting? Cuban music? Friendly service? Small and cozy seats? so it was 11:30pm and while lounging around in my hotel room..I remembered that Cafe Habana was on my list to eats. Due to the lack of time spent, I didn't have time to pencil it into my schedule. Since it was my last night in NYC...I decided to get a late night snack (the corn). Hailed a cab and rushed him because I was afraid they were going to close. In the midst of getting lost and only have 10 minutes left til 12..I got out of the cab and tried tracking this place down....and THERE was the little, dark restaurant in the corner on Prince St. The restaurant was very small, dark, intimate, and cozy. The decor and furniture was so cute! Everyone sort of knew everyone. I walked up to the counter and asked (with hope) if there was still time for me to order the corn. Surprisingly, he said yes! I guess the restaurant doesn't close at 12 because people kept on coming in and out. While waiting for my corn, the waiter offered me a glass of water..which was a nice gesture. The Cuban music was blasting through the speakers and couples were snuggling in the booths. Finally, my corn was ready and boy, was I excited to devour it! basically...the CORN was AMAZINGGGGGGGGGGGGGGGGG!!!! It was decked with chili powder, cheese and with a squeeze of lime! I think it was $2? The corn was a bit on the smaller side but nonetheless, amazing. My late night run to Cafe Habana was so worth it! I hope the next time I'm in the city, I can discover and try out the rest of the menu.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.04875; Sentiment_Subjectivity (from 0 to 1): 0.557055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As noted elsewhere, the lines are extremely long but the pork has an excellent salty/sweet ratio. This could be the best price-adjusted food I've ever had - I ventured beyond the pork for the pork/chicken/duck combo, with rice and cabbage in a large container for $4.50. Originally I was thinking of just the $3 pork special, but the chicken and duck looked to enticing. In non-scientific terms, the chicken was cooked in a manner similar to the duck, which is more exciting than the soy sauce chicken preparation often found in this neighborhood. And I dare say that the duck was even more compelling than the pork, but I must reiterate to the health-conscious here that fat means flavor.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.192602041; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Heath is the best. If you've been to Sleep No More, you know what to expect: highly atmospheric, a great band playing, and you never know when you might become part of the story. I got a mysterious phone call during dinner, and suddenly I was in my own between-courses adventure. I went just for dinner and booked a time when the restaurant was empty (everyone from the first pre-show dinner just left for Sleep No More), which gave us some time to soak in the surroundings and get more attention from the entertainers. You never know who is what around here - did that busboy just give me a fork, or steal one from me? The food and drinks were very good, not quite fine dining level but way above what you'd expect from a themed restaurant attached to an existing business (the price level is more about the experience than the food, though the food is good). The only problem I had was the Hangtown Fry was greasier than it had to be (I know it's a fry-up but maybe drain the grease from the skillet before sending it?) Judy H hit the nail on the head: if you want to eat dinner inside Bioshock Infinite, this is the place. They do an amazing job down to the last detail.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.262910053; Sentiment_Subjectivity (from 0 to 1): 0.505661376 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went on a Friday night, it was a wait of 25-30 mins, but it was definitely worth the wait! I had fried chicken, mac & Cheese & mash potatoes it was delicious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.258333333; 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: All I can say is fantastic.  It's truly an extraordinary experience.  The small plate, small space restaurant has an elegance and intimacy that's hard to replicate.  So, on the menu we tried, the standout dishes include the croquettas, the tortillas, the squid stuffed with beef, the shrimp, the open faced roast beef sandwich,  the scallops and the grilled strawberries with Ginger granita.  What made it even more extraordinary was the service: five star all the way.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.096875; Sentiment_Subjectivity (from 0 to 1): 0.655208333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 pretend to know soul food, but when I want chicken and waffles, I come here.  Very good coffee.  Dishes named after prominent black Americans.  Often there is a sizable line of locals and European tourists to contend with.  Don't let them put you at a table in the back room; it's just unpleasant.  Hold out for the front.  And the lemonade is almost undrinkably sweet.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.042916667; Sentiment_Subjectivity (from 0 to 1): 0.595416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 vibe, I applaud the cozy bar in the back, and the bloody Maries are indeed great. I didn't actually try the food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What to order: Red or Mango Sangria Beef Empanadas Blood Sausages Potatos in Garlic Aioli Sauace Meatballs Meat and cheese plate What not to order: Chicken and potatos Cod croquettes Garlic Shrimp Mussells Overall: Great friendly tapas spot. Lighting is semi bright contrary to other dark tapa places. The sangria is one of the best I ever had at a good price. The tapas are extremely tasty if you order the right ones. The flamingo drums during the weekends is very lively. It turns any boring date into an upbeat energetic dinner. The most notable thing about this place is the service. The staff is one of the friendliest I have ever seen and you feel right at home. I always over OVER tip at Nai.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.21242785; Sentiment_Subjectivity (from 0 to 1): 0.549801587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 take friends visiting here if they truly want a great pizza not by the slice, and if we are in Little Italy. I have been dissapointed in their deliver, though we are FAR FAR away and still in their zone, which is a plus, but sometimes the pizza comes with the cheese half off,like it was dropped, or coldish, other than that the pizza is amazing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.160119048; Sentiment_Subjectivity (from 0 to 1): 0.670238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was totally psyched when I found out there was a Boiling crab-like restaurant in NYC.. I came on a Saturday night and waited 2.5 hrs then found out they had run out of craw fish cause a party of 12 guys ordered close to 100lbs ...  I chose not to leave because i really wanted to try this place and the fact that i had already waited so long. Fortunately although the wait was long and they had run out of craw fish, their service was exceptional. My friends and I resorted to shrimp and clams and I have to admit it was better than boiling crab. Their shrimp was huge and their sauce was thick and very fragrant (a little salty but they has really good brown rice to help with that). The server was very apologetic about running out of craw fish and gave us an extra half lb of clams in each bag that we order and additional 3 corns. Overall it was a great experience and the food was great and would definitely go back but will either go on a week day to avoid the crowd or have it to go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.216447368; Sentiment_Subjectivity (from 0 to 1): 0.462719298 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fantastic and very VEGAN friendly. Their soy cheese and soy sour cream options are great. I always get the sauteed spinach and portobello burrito with black beans and brown rice on a whole wheat tortilla. Also, their guacamole is incredible. Oh and their burritos are HUGE. Sometimes it's a madhouse but that is because everyone who lives and/or works around here knows how good it is.  Love this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.378030303; Sentiment_Subjectivity (from 0 to 1): 0.58030303 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 totally agree with Justin K's review. This place is a gem. We had great coffee and vegetarian apps. Then, a healthy veggie entree and meaty lunch sandwich. The service was perfect. Attentive coffee refills. This is another establishment that improves quality of life in LIC. Complaints, if you could call them that: bad fonts on their signage: Dated and un-hip and not visible enough, and do not adequately reflect the excellence within. Also dislike the name of the place, for the same reason. The name needs a personal touch. Don't hold it against them. Go and enjoy the great food and drink.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.252777778; Sentiment_Subjectivity (from 0 to 1): 0.589583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Besides having a sneaky-elusive name to remember...I swear I've forgotten it half a dozen times already...I don't have anything but high marks for S&P.  Its clearly an instant success.   My increasingly tardy friend was running behind on our reservation...But instead of an attitude when we got to the hostess, we were greeted warmly and seated promptly.  All service touch-points were this welcoming, as a matter of fact.   The bar is sexy and lively.  The dining area is deceptively large, but sliced up into multiple seating areas both upstairs and downstairs which preserved an intimate dining experience.   Speaking of downstairs, the oversized/luxurious private bathrooms - complete with a bureau and makeup chair - are prime territory for some "frowned upon" activities.  Don't say I didn't warn you... The carrot and ginger soup is dynamite - with an unexpected melted marshmallow catapulting this appetizer from good to great. The burger with bacon and a sunny side up egg: winning.  Tasted like an awesome breakfast sandwich on steroids, with the beef taking the center stage and the bacon/egg playing the complimentary roles.   The Gin Almond Fizz: gin, almond milk and an egg white giving it that frothy finish for a perfect winter time cocktail.   Saw plenty of dates and small groups all around.  S&P has definitely earned a spot in My Rotation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.237249278; Sentiment_Subjectivity (from 0 to 1): 0.524037698 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 may be one of the fewest restaurants that I was genuinely surprised by. From the outside, it doesn't look much, especially situated in the Flatiron district. It's like a secret little gem! When you walk in, the entrance is very narrow, greeted by a server, inside the decor is very modern "NY" feel, the lights, atmosphere, and people are very respectful and not to be loud. Service is very attentive, asked about food, water..etc I haven't had much experience with Middle Eastern - Lebanese food, so take this review as a grain of salt. I went in for the Lunch Pre-fix Menu, which is $20 for 2 choices. My choice was the Calamari salad and the Garlic String beans. I have to say, the Garlic String beans were very savory, but extremely over salted. It was well infused with the garlic flavor, but without a pair of bread or rice, it is way too salty to eat. The calamari salad was interesting.. Instead of the usual crispy Calamari rings, this was strips of calamari with dusts of seasoning, over a bed of regular lettus, and oversized pieces of green bell pepper. (Not a fan of bell peppers).. again, maybe my choices were wrong, but both seemed to be extremely salty. Wish I had a side of rice or something to wash it down. The portions were relatively small for a $20 dollar meal, but the atmosphere and non-rushed service makes it very pleasant. It's a great place for a business meeting, as everyone's a superb respectful crowd. Not easy to find in NY. Decor is great, service is great. I'd def visit again to check out the other dishes on the menu; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.151391204; Sentiment_Subjectivity (from 0 to 1): 0.604804843 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: everyone likes the square slices. I tried them. There is too much sauce. Nothing special. The circle (triangle?) slices are good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.419047619; Sentiment_Subjectivity (from 0 to 1): 0.457142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.The sushi is always fresh and every time I go with my husband we get the Love Boat.  Whatever the freshest fish of the day is goes on the boat and there is always some fancy app that comes with it.  Love it.  I live in Queens and make special trips... that should say something.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.358701299; Sentiment_Subjectivity (from 0 to 1): 0.554285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 beau and I found ourselves here on a Friday night - date night.  This is a fun little place.  Once the sun sets, the restaurant's romantic ambiance is intensified.  Which was exactly what we wanted! When we first arrived, we ordered our drinks; I got the Cuba Libre (a staple) and he got the Beny More (which was a citrus-y and quite refreshing drink).  They do not make they Cuba Libres with regular Coca-Cola, instead it is Mexican Coca-Cola.  The differences between regular Coca-Cola and Mexican Coca-Cola are small but make a world of a difference to a cocktail like this one.  The soda is made with sugar not high fructose corn syrup which makes it sweeter and nixes that lingering aftertaste that you get from artificial sweeteners. To start off we got the Yuca Frita.  This is the ultimate snack food!  The Yuca is topped with some cilantro, garlic, and salt.  It's simple but emphasizes how the yuca is the star.  It's fried very delicately which gives the yuca a very nutty flavor and the dipping sauce is slightly spicy and cooling.  Those three flavors dancing in your mouth... it's a happy dish. I got the Sopa de Frijoles and he got the Lechon Asado.  The sopa is rich, delicious, and there's just a bit of heat in it.  And just like it should be prepared, you can taste a bit of pork which was probably a ham bone or ham hock left to simmer in the pot with the beans.  I do like sour cream with my black bean soup and the waitress kindly obliged.  The Lechon Asado was as expected: yummy!  It's tender, sweet, and the garlic/lime combo enhances how darn tasty the pork is. I love live music with my cocktails and this jazz trio did not disappoint.  They played a very sultry version of "Summertime" that I loved and it happened to be a beautiful night that night. The wait staff is accommodating and friendly.  However, the place needs to feel a little more Cuban.  I understand it's within it's first 6 months of opening and the food is great but a little more color splashed in would really give it an authentic Havana feel.   The lighting design is great: there's a mix of functional light and accent light and the addition of candles once the sun goes down is always welcomed. Are we coming back?  Absolutely!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.206301557; Sentiment_Subjectivity (from 0 to 1): 0.510553012 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 guess I will give it 3 stars. It is hard to decide out of 5. I give those I do not like 2 stars if they are bad and I only  give   one star if there was food poisoning or something really out of the ordinary. The food wasn't bad. But nothing stood out either. The dining room could use  a little improvement. It was a little cold and rainy when we went and there was no heat and I almost left but decided to stay. The food warmed me up a bit but did not make up for the lack of heat. We had the momo's, ginger hot tea, a cold potato app of some kind that was flavorful but would have tasted better  hot in my opinion  and a forgettable noodle dish. It's okay for  something  a little different.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.100219298; Sentiment_Subjectivity (from 0 to 1): 0.619736842 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I don't often give fives for restaurant experiences - but this was beyond that! Initially, we did have to wait 20 mins for a table....they dont take reservations.  But we did sit at the bar and I discovered how much I LOVE Whiskey Sours - particularly, their Cranberry Sour.  It was so refreshing! When we sat, our waiter was attentive and thorough yet did not intrude and had a very laid back casual style that we really appreciated.  He radiated the confidence of "yeah our place is awesome and we know it - we dont have to prove it." Kale Salad - WOW!  We didnt even know the Kale was raw!  I made myself a note to *try to duplicate this salad.  *Try. The baby carrots and pine nuts - aahhh!  yummmm The steak was PERFECTLY cooked and everything just tasted so perfect....just perfect. Overall the atmosphere, the food, the service and the music contributed to my Mahattanite boyfriend saying "hmmm wow I really think I should come to BK more often." Um DUH - YEAH you should!!!! :O; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.205888946; Sentiment_Subjectivity (from 0 to 1): 0.56959707 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 like korean food or flavors but the bo ssam here is mind blowing. came with 5 people and it was DEFINITELY too much food. but at least i had leftovers for two days! the sauces that it came with were good too. i don't like kimchi but the ssam sauce and the green onion/scallion sauces were amazing. also comes with super fresh oysters..you can eat it together if you like..definitely an interesting combo haha. we also shared a duck rotisserie bowl for appetizer. WOW. SO GOOD. it's so hard to find good duck ANYWHERE but this one was.. like.. wow...just try it. please. life-changing shit; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.217777778; Sentiment_Subjectivity (from 0 to 1): 0.560555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here a few weeks ago with a couple friends for brunch. I had the lemon ricotta pancakes and they were amazing. I usually take pics of my food but this was so good, I forgot. I also indulged in their homemade whipped butters. They are delish. My friends enjoyed their food as well.  The also have really good fries. The only reason I didn't give it 5 stars was because the seating is a bit tight. I'm 5'8" and if I wasn't sitting on the end in the booth, I think I would have been uncomfortable. However, I will definitely visit this place again! I heard it's crowded on the weekends. I went on a Monday afternoon and their was no wait.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.137142857; Sentiment_Subjectivity (from 0 to 1): 0.593571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is really unbelievable it was bad!  I ordered the beef soup and let me mention that I was starving ( u know when you are hungry things just seem so good) the broth was ok whatever but the taste of the beef balls  was horrible.  I only had one and that was it did not even bother having the rest!  I cannot believe this being in china town instead of having something delicious. so ladies and gentlemen do NOT have the beef ball soup.  BEWARE; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.010714286; Sentiment_Subjectivity (from 0 to 1): 0.823809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If there is one word that describes Taim, it's fresh. Everything I've tried here was the definition of it. The pita was deliciously light and fluffy, the vegetables (yes, I got all of them) were perfect, and the falafel itself really tasty. Honestly, this is the best falafel I've had that wasn't in Israel. I also liked the sabich, although if fried eggplant isn't your thing, then you probably won't enjoy it as much. The one other thing I tried was the greek salad, which was really good, with generous amounts of olives and feta, but for $10, it is way overpriced. The place is pretty small with the line during lunch sometimes out the door and the wait for the food could be about 10-15 minutes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338333333; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best drunk food ever. What more can you ask for $6; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.333333333; 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: I finally got to eat here, having patiently waited in line for 45 minutes on a Saturday afternoon and it was worth it. This place has been on my Yelp list for several months, and it is about a 10 minute walk from one of my clients.  I have tried to eat here during lunch, but after a dozen attempts could never get myself to wait in a line with about an hour wait.  Usually we would go to Manchenko Tei.   This past Saturday I had met a friend in the area and made it a point to go in.  My friend was intimidated by this line and offered plenty of other alternatives.  Either way we got a seat, and luckily it was a beautiful spring day so standing outside was not a burden. Food: (5/5) Dare I say it!  I think the ramen here is as good as Ippudo.  The only reason that Ippudo still wins as best ramen in NYC is the pork belly buns, but otherwise the ramen here is just as good.  We ordered the Totto Spicy Ramen, and we would again. Venue: (3/5) It's small, maybe 15-20 seats in total.  Nothing fancy but it's a ramen place.   Servie: (5/5) They pretty much get you seated, take your order, serve within a few minutes and give you a check.  Nothing fancy, but it's a ramen place. Tip: Cash Only; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.048731884; Sentiment_Subjectivity (from 0 to 1): 0.56557971 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really enjoy going here for a late-night supper and a few drinks on a Sunday night. Very cozy, hip without being pretentious atmosphere. The service is impeccable. I love the steak frites...they always prepare my meat exactly as requested and the fries are the perfect compliment. Cocktails are mixed so nicely here too. It's one of my favorite places to frequent since moving to NYC. I am hoping to try their brunch which has been getting excellent reviews.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333846154; Sentiment_Subjectivity (from 0 to 1): 0.648076923 [/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-its a casual meal with a great ambiance. The decor is nice, as everyone says, and there is a mix of people. It is very affordable with GREAT portion sizes. If you are hungry during the day, they have a great lunch special where you choose one appetizer and a main. And a lot of their popular dishes are on it so it's not hard to choose at all. It's the perfect portion size and they are easy going about omitting certain ingredients from a dish, even when getting the special. I have tried to the Thai Iced Tea with Lime Juice and that was WAY too sweet, I only had a couple of sips. It's the only thing I couldn't finish at that place. My husband had the fried crab dish and he loved it and was full for the rest of the day. Basically, you need to try this place. The corn roll appetizer is also good, as well as the chicken. The appetizers aren't huge, so don't depend on those-you must get a noodle dish or entree. It's worth it. Service is consistent and the prices unbeatable-go go go!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35947619; Sentiment_Subjectivity (from 0 to 1): 0.685571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It may not be cool to eat there for hipsters because it was on the travel channel but as an Italian American who grew up in south Philly I appreciate a good pizza pie. Lombardi's is as good as any pizza you will ever eat. Very well done gentleman.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.358333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favorite place to go pre-or post theater, or anytime...the food is fantastic, the staff and atmosphere are warm and friendly, and the whole vibe feels very unlike midtown--it's more of a "downtown" feel in the best way--casual, fun, hip and delicious interesting food. You will not be disappointed, there is magic here :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.416071429; 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: A bit on the pricey side but the food here is okay. Personally I thought the sauce was kind of bland and plain. But the crust on this pizza was absolutely perfect! It's a little strange because for most places I'd say the crust is hardest part to perfect but at Luzzo's the crust was perfect but something as simple as the sauce was totally flavorless!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306272894; Sentiment_Subjectivity (from 0 to 1): 0.626739927 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this place. I often go alone and sit at the bar, and the bartenders are very friendly, and efficient. The food is good too, in particular they make the best lamb burger I've ever had. Juicy and spicy and delish. Most of the other dishes I've had are good too. Nice neighborhood Medittereanean restaurant, with yupper west side crowd.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.503240741; Sentiment_Subjectivity (from 0 to 1): 0.550925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I absolutely love this wine bar. It's the perfect place to get together with a couple friends or a date. The environment is trendy and intimate, and the wine is amazing. I went on a Tuesday night and it was perfect for a weeknight date.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.65; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been on my list of "places to try" for a while - now it's at the top of my "places to frequent" list. I was overwhelmed by the menu because everything looked really yummy. The bartender overheard me saying that I wished there were a tasting menu so I would not have to make decisions. Lucky us! We went with the 5 course tasting menu ($50) + wine pairings ($30) and let them surprise us with every course. And, each course was full of great surprises. The flow was: Raw Kampachi, Wild Bison Loin Tataki, Romesco Oil Poached Halibut, Pork Belly, Grilled Prime Hanger Steak, a sorbet course and a dessert course which was a tasting unto itself. The food was fantastic, wine pairings were perfect, service was impeccable. Can't wait to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.365491453; Sentiment_Subjectivity (from 0 to 1): 0.553739316 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for Sunday brunch with my husband after reading many great reviews on yelp. The wait time was 15 mins which went by very quickly they seem to be really fast with turnover. We had the Tunisian eggs with home fries and pita bread and the brioches French toast. Both dishes were really delicious and filling. I would definitely go back here for brunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.419047619; Sentiment_Subjectivity (from 0 to 1): 0.5 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food: EXCELLENT!!!!!!! They give amazingly large potions, food is VERY well seasoned. Everything is delicious. The beer, is TO DIE FOR! Service: EXCELLENT!!! The wait staff is extremely knowledgeable about the food, and most importantly how to eat it. Which is important since my friend and I were totally unsure as to how to attack a whole lobster! They give bibs and gloves, TAKE THEM YOU WILL NEED THEM! I'm only giving 4 stars because A. the wait is crazy. Although I can see why, the food is great and the space is tight. B. there should be one person who takes names at the door and one person who seats. There is a huge crowd at the door that can get a little out of control waiting to be checked in.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.299206349; Sentiment_Subjectivity (from 0 to 1): 0.720238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food and service. I loved sitting downstairs in the pink room, it seemed much more relaxed than upstairs.  The food was fantastic and our waiter was very attentive.  Loved it here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.474285714; Sentiment_Subjectivity (from 0 to 1): 0.742857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I'm not a big fan of Irish pub food. I think my least favorite food is actually bar food. This weekend is St Patty, so I want to celebrate It right. This restaurant food is hands down the best homemade fresh Irish food I ever had. We had shepherd pie and fish and chips. It was delicious. Must try!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.239105339; Sentiment_Subjectivity (from 0 to 1): 0.384054834 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well, nothing really to write home about here. The service and atmosphere were actually great. There's a good feel here, but nothing to save for very mediocre food. We wanted some great café style food, and this was a good try, but just didn't really hit it for us. Maybe we didn't order well, but regardless, we weren't very wowed with what we did eat. I had the Tunisian eggs, which were ok. Nothing awesome, but I suppose they weren't "bad". Anna had the brunch special, which included eggs, toast, fresh squeezed OJ, and coffee. The OJ was probably the best part of the whole meal, but I don't mean that in a bad way necessarily, it just really stood out. We just figured to expect more but felt it was a fairly average experience! We'll be back to give it another go, however, just in case.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232142857; Sentiment_Subjectivity (from 0 to 1): 0.536011905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When this place opened up my wife and I just had to try it. The place is clean, the staff are very nice. The owner goes out of her way to make you feel at home. I can't say enough about the food the burgers are great and the fries are the best. They do delivery in the ridgewood area. Nice little place and in the warm months the back is open.  No liquor license yet hopefully soon. Prices are fair there tacos are hot  and there burrito will have you taking some home.  You can taste that the food is fresh. The layout make your mouth water. I love that it's right down the block from us.  If you in the area and would like some great food please check them out. I promise you will score big with wifie,girlfriend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.368851411; Sentiment_Subjectivity (from 0 to 1): 0.576366843 [/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: Is it just me or do is the cool hangout spot for Filipinos? This place is awesome! Drinks are spectacular and the bartenders are just so down to earth!! If I lived in NYC, this would probably be my go-to spot!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.411545139; Sentiment_Subjectivity (from 0 to 1): 0.709722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am not sure if my review will be fair as I went with a group of about 8 people and this place is NOT good for groups. I just wasn't overly impressed from the get go, they kept shuffling us around and were not very accommodating at all. They actually seemed rude when they were moving us. The place is really small, which would not be the worst thing if there were just 2 of you. But even so, it felt cramped. It was really hot and stuffy too, was just not a very comfortable dining experience. The service was ok, not bad. The food was pretty good but I have definitely had better tapas in NYC. It was just A-OK ;-); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.116452991; Sentiment_Subjectivity (from 0 to 1): 0.667830009 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 party of eight  for dinner last nite at Galli s .  Every thing was great food,service and perfect atmosphere. Music just right so people could  talk and have  background sound. Would recommend this resturant  make sure  if you can make reservations for a large party.I m always impressed with old  brick walls, being a clay person and  there out there and  beautiful.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.515; Sentiment_Subjectivity (from 0 to 1): 0.626984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Since the departure of chef yasuda, the quality turned subpar. The sushi is barely acceptable as a top notch restaurant. The fish is soft and melts in your mouth but its far from being fresh and tasty as it was before. The rice was dry and waiter as usual was impolite. We found a huge fish scale in the sushi and complained. The waiter looked at me weird and said "that's fish...you want another one?" I had to raise my voice and demanded that the chef should be aware of this...Good bye sushi yasuda...I had a magical time 3 years ago but now your glory days are gone...It is just not worth the price...and I know the value what good money should buy for a meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The drinks are strong and the food is amazing! the decor is very hip without trying too hard. awesome neighborhood ambiance and vibe. No scene at the door but its gets decently packed every night. Did i mention the food? Thai burger, crab dip, grilled cheese bites dipped in french onion soup!? OMG! the brunch rocks too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.322619048; Sentiment_Subjectivity (from 0 to 1): 0.591666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had dinner at Dudley's last night and sat at the bar. I have a crap ton of food allergies and it's annoying for everyone involved. I typically settled for a plain burger, no sides. The bartender was super sweet and grabbed his colleague who was patient and guided me to a lovely choice, that only had to be slightly modified. I had the Arctic char and it was amazing; my girlfriend had the lamb meatballs and grilled shrimp and really enjoyed both. Service and food were amazing; bartenders were attentive and sweet. Great spot in the LES.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.142857143; Sentiment_Subjectivity (from 0 to 1): 0.666071429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lied to us about happy hour specials.  And that is enough to make me never come back again. I came here with 7 other people.  We ordered lots of dishes, and drinks all around.  The waitress told us that special cocktails were $7 instead of $11 for happy hour, and the draft beers were $5.   When we got our bill, though, they had charged us regular price for the drinks.  When we confronted them about it, they said that the prices weren't applicable to the cocktails that they gave us.  What?  Why would you tell us that cocktails were $7, when they weren't the cocktails on the menu that you explicitly gave us?  False advertising. Food was plentiful, but incredibly expensive.  Expect main entree dishes to be about $15-$20 each.  We ordered two of each main entree dish (except for the fish dish) because the waitress thought that we didn't order enough food.  Are you kidding me?! Portions were not small at all...we kind of overordered more food because the waitress was insistent that we did not have enough food.  Dishes included adobo, pork belly, collard greens, garlic fried rice... All the foods were very flavorful but very greasy and salty, in standard with Filipino foods, apparently.  The fried chicken had a pseudo bagoong sauce (mayo-based), which was really good. The bill ended up being over $400 with tax and tip included.  That's right.  My Filipino friends were in shock, because in other places, you can get the same amount of food for like way less ($100 to feed a table of 8, perhaps?). We left feeling very jipped and disgruntled.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.115518707; Sentiment_Subjectivity (from 0 to 1): 0.435442831 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 went at 8p on a Sat and there was a 2-hour wait for indoor seating...but 30 for outdoor (it was 50 degrees).  So we did that. Had beef meatball sliders w/tomato sauce and chicken meatball slider with parmesean...definitely worth freezing outside for.   As a big fan of warm alcoholic drinks, the port toddy was just ok.   You MUST leave room for ice cream sandwiches.   Brownie and meringue cookie w/caramel ice cream was amazing (Caramel ice cream is TO DIE FOR) Also had ginger snaps with vanilla ice cream (vanilla is super super refreshing..will be great in summer).   Cookies are firm with slightly chewy texture - which makes it hard to cut the sandwiches into 2 for sharing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.139880952; Sentiment_Subjectivity (from 0 to 1): 0.492261905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 small sized dining area is warm and intimate. Service is rather friendly and knowledgeable. The first was the roasted beets with goat cheese ravioli. It was a tasty twist on a common combination, and the toasted pinenuts and fried shallots were an excellent accompaniment.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267857143; Sentiment_Subjectivity (from 0 to 1): 0.561904762 [/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: Tasty place, Good atmosphere.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.7; 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: Great hole-in-the-wall-sized restaurant in Hell's Kitchen! Main host/waiter(/owner?) was incredibly nice. We didn't have a reservation (for 2 of us), but after perusing his list of reservations he said we could have a table for an hour. We took it! The mushroom cigars appetizer is really rich and pretty darn good. We then had the Tuscan Chicken and the Beef Goulash. Both dishes were great (and came with fairly large portions!), but the best word I can think of to describe the meal was "wholesome". There was some kind of cooked-at-home-but-fancier feel to the meal, and it was thoroughly enjoyable. The only downsides to this place are that it's tough to get a table without a reservation and that it's fairly cramped (I wouldn't try to go here with more than a party of 4), but the food more than makes up for this!; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.426213819; Sentiment_Subjectivity (from 0 to 1): 0.711484594 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crowd, gorgeous bartenders, amazing food.  Two thumbs way up; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.85 [/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: Salinas disappoints, bottom line.   I have never written a negative review on Yelp, but Salinas so ruined our group's night that I feel like I have to get involved! Our experience began with my making a reservation several weeks in advance for our party of nine.  They accepted the rezzy easily and even let me request the garden area, which is in fact covered and does not feel like a garden at all.  Then, one week before our reservation, I receive an email saying that all big parties are subject to their $65 per person prix fixe, and that we would be cancelled if we didn't accept.  I was able to argue our way out if, but beware if booking a large party.  This is a new policy for them. Next, the night itself.  Eight out of nine were disappointed. We made the mistake of showing up for dinner hungry...ha.  While ordering our drinks, we asked the waitress if we could put in a few tapas orders and she literally said no.  While she knew a lot about their menu, she actually annoyed us with her over explanations.  Once she would leave the table, we regularly would not see her again for 10 or 15 minutes.   The tapas were small and not memorable. Take it from us, not the place to take a hungry man especially.   The flatbread should instead be listed as a "big cracker."  The brussel sprouts consisted of only cauliflower, and provided LITERALLY four bites of food.  No one seemed to complain about the ceviche, and the cheese plate was average, although we did have to ask for more accoutrements like bread, etc.   Dinner.  The paella takes 45 minutes to prepare, and I have never seen paella with so little seafood.  Expect a plate of rice...good rice...but just rice.  The chicken dish with vermelli was too salty, neither person finished theirs.  The vegetarian dish was creative but small and expensive.  Our only satisfied diner ordered the strip steak, he was happy, but he never complains about anything, so I am suspicious! The signature cocktails were strong, but the glass looked like 1/3 of the drink had been consumed already.  We actually mentioned this and they told us it was on purpose.  For $14 each, just fill the mini-martini glass to the top! We were too annoyed to order dessert, so we paid our big bill and left.  All three guys and two of the girls went directly to the pizza place next door and ordered slices.  The pizza was delicious :) We will never be back, too many other great options.  Don't waste a night on this.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.068329055; Sentiment_Subjectivity (from 0 to 1): 0.514186976 [/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: WAFFLES, PEOPLE! WAFFLES! Whatchu want on dem waffles? You want some strawberries? Some otha berries? Some bananas? Ice cream? Chocolate syrup? Strawberry syrup? Mangoes? A whole lotta tasty whip cream? What, whatcha want? The waffles aren't gigantic ones that you'll find at most brunches. They're kind of small actually. Just two normal sized ones, side by side. But they aren't soggy. They aren't hard. They aren't burnt. They're perfectly airy & structured to support that heap of whip cream they put on top. My only regret is that I did not ask for an entire large plate of whip cream. This isn't no store bought, sprayed out of a can whip cream. No sirree. This is the real deal. It tastes so good that even though you hear the calorie/fat counter in your head, you tell it to somewhere else for an hour while you indulge. And you deserve to. So go, go and indulge!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.264115646; Sentiment_Subjectivity (from 0 to 1): 0.567517007 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 who come from strong Southeast asian backgrounds have been coming here for years and years and have been gushing about since it was a dinky little place with a few tables and a basement. I hear it's so good and so close to the real thing that friends and family in Thailand have heard about them. That's a huge reputation to live up to. We came on a Monday and the line outside was intimidating. We got our table and luckily the wait wasn't half as bad as I had initially expecting probably because the place is pretty massive. It  was just a rapid medley of food that just kept coming and coming and coming and we were eating so fast that we barely had any time to think.  Sour and spicy Tom Yum soup, tangy papaya salad, spicy beef salad, bean thread noodles, whole red snapper with chili sauce, red curries, shrimp rolls, so on and so forth. everything was packed with enough heat that wasn't just all about the spicy. It was spicy enough yet still allowing the flavors to come out. The spicyness enhanced the flavors without overpowering. I'd say the most disturbing was the desserts. ANything that had coconut turned out to be salty rather than sweet. We inquired and they said that they do make it to a saltier taste. Why? I have no idea. Salty dessert? Weird. Is it the best Thai I've ever had? Unfortunately not. But it's also not 20 hours and a plane ride away. For the money and the distance, the ambiance and the reputation. You just can't go wrong. Great place for a date or a celebration with 20 friends. They can accomodate all! Oh, another boo...it took us 15 mins to hunt someone down to get us our check. Not fun. Will definitely be back for more!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.097665945; Sentiment_Subjectivity (from 0 to 1): 0.46968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 superb quality in everything they do. Fresh pasta. Fine dining. Desserts. It's really hard to miss.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.35625; Sentiment_Subjectivity (from 0 to 1): 0.635416667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Service What surprised me the most was even with the long lines and being outside. This street vendor actually seems surprisingly jolly. They are very animated and even makes jokes as they collect you cash. Food The white sauce is delicious and the gyro is favorite part then the chicken. I definitely recommend getting the combo because you can get chicken and lamb. Value Excellent $6 dollar get you a pretty big plate of food. Thought personally if the line is to long at the original I would go to the neighboring cart which I think is actually owned by the same company.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.158333333; Sentiment_Subjectivity (from 0 to 1): 0.520238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 brought my daughter here one night because she LOVES fries.  (Who doesn't??) We ordered the "double" to share, and let me tell you that it was HUGE!  Probably enough for 3 people.  I ordered the shoestring fries, and while they were very good, there were a lot of itty bitty pieces to eat.  I think next time we're here, I'll order the regular fries, just for comparison.  The only thing I'm not really feeling, is the mayo on the fries.  I know that's how most people eat them, but it's a little nauseating to me.  I'll just stick with the ketchup for now.  :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.192954545; Sentiment_Subjectivity (from 0 to 1): 0.496083916 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lombardi's boasts itself as the first place in the City to make coal oven pizza... or something like that. I came to Lombardi's Pizza three years ago at the insistence of my visiting brother re: out of town tourist. We arrived on a Saturday morning right when it opened to skip the line. Thank god otherwise I would have been annoyed with having to deal with a crowd. Taste result? Eh.... It's alright but I've had better pizza and for less money. This is New Yawk, land of pies! If you want to go just to try it out for its historical background, go ahead but don't get your hopes up. You'll always find a better pie elsewhere and it's not in Soho. Oh and it's cash only so better find an ATM beforehand.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163950216; Sentiment_Subjectivity (from 0 to 1): 0.469025974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ordered the KitchenI love the veggie balls! The assortment of vegetables is fresh and so yummy. The mashed potatoes are also wonderful. I just want to eat all the vegetarian options. Perfect for a late night snack.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was in the area handling business and did a quick search on yelp and found this spot. It's nestled between China town and the court house area. The staff was extremely friendly and courteous. I ordered the chicken tacos and fries. Food was delicious. No complaints here. Wish I had pictures to post. I will definitely be back next time I am in the area. Great little dive with good eats!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.319583333; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a craft beer/cocktail establishment in Midtown East/UES. What's that? There are bars that are not Irish Pubs in this area? Yes. At least one. The vibe here is like a hipster cheers. I'm not sure if the people who come here are actually regulars or if it just seemed like it...all I know is that, by 10:30 or so, the whole room was singing happy birthday to someone who was given a shot lit on fire for the occasion. But I digress. We came in last Saturday evening around 9. The first little bar area wasn't quite full at that time, so we sat down there and never made it any further. So, I'm sure the rest of the place is amazing, too, but I can only speak to the front bar. I was excited to try the beers AND the cocktails, as it all looked so amazing. Started off with beers. It ended up being a saison night for me. On the bartender's recommendation I tried the Stillwater "Existent", which was a dark saison (what?!). I then moved on to the Other Half "Laatse Ronde", which was a smoked saison (huh?). Both were pretty good. I then moved on to a cocktail. I was intrigued by the cucumber and basil gimlet, but also a bit wary, since I typically dislike gin with the intensity of 1,000 suns. The bartender eventually convinced me, and the drink was incredible. No terrible bitterness here-- just a delightful, refreshing, vegetable-y cocktail. We also downed some delicious bites. Both varieties of oysters (Kusshi and East Beach Blonde) were excellent, and the truffle popcorn was SAVORY TRUFFLEY HEAVEN. HEA-VEN. Okay? Seriously, I would like to make this a regular part of my diet. The only slight negativo was that by the time we left (maybe around 11:30), this placed was totally packed. The bar area was far too small to accommodate everyone who was crammed together in that little room, which made it crazy difficult to frequent the bathroom. Regardless, The Jeffrey is one heck of a tasty good time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.152191358; Sentiment_Subjectivity (from 0 to 1): 0.599301994 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is delicious pizza. First time, I ordered just a couple of plain slices. I can't wait to go back and a few slices with veggie toppings, pepperoni, sausages etc. You get my drift, right?! While on line I met a bunch of dudes that made the trek in from manhattan, not sure I'd do that but hey to each his own.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.192857143; Sentiment_Subjectivity (from 0 to 1): 0.526884921 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: good food; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.6 [/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: A fabulous little spot around the corner from my apartment, which serves up some super fresh oysters! They have a huge selection of oysters, which you select almost sushi style from a paper list.  The fettuccine with clams is spectacular and worthy of the praises laid on it.  I usually have a glass of vino, but my friends indulge in their craft beers.  Their complimentary whiskey cake is a perfect way to cap a great meal!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.391287879; Sentiment_Subjectivity (from 0 to 1): 0.724242424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fish Market I went in on a Friday to order a 6 lb. side of wild salmon for Sunday...it was $29.95/lb. When I went Sunday morning to pick it up I needed to ask for ice. ....OK....then I asked for a cold bag.....he said I could buy one ....and that they where out at the fish dept. and I could try to the meat dept. I was spending $187 on a piece of fish and they could not give me a cold bag!!!? When I was more insistent he asked if I wanted to speak to a manager , yes I said....then he walked over to fetch someone. The 'manager' apparently told this guy to give me a bag. Finally I go to the checkout counter where the kid says ' do you want this delivered?.....all orders over $150 have free delivery " So I could have avoided $20 in cab fares and had this delivered on Sunday morning had they on Friday asked or informed me of this possibility. While the fish was very good the service was  quite marginal and I will never buy fish there again nor recommend anyone going there. I wrote to the web site after this happened and never heard anything from them . Very poor service/very high prices; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -2.78e-18; Sentiment_Subjectivity (from 0 to 1): 0.715 [/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: Tom Collicio's Riverpark is definitely one of the best restaurant's in NYC. The views are spectacular and the food outstanding. My waiter's vocabulary was not only enticing but colorful and elegant. Words like succulent and sumptuous in addition to phrases like the onions atop one of the meals are like "the M&Ms of the onion world". He was right!!! The pork chop was perfect; the branzino was outstanding and the tuna tartar was to die for!!. I truly enjoyed the Riverpark experience and would return again and again and again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.521753247; Sentiment_Subjectivity (from 0 to 1): 0.735064935 [/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: Tapas always bring back memories of my backpacking trip through Europe four years ago, where we had copious amounts of tapas, pork products and manchego cheese as we traipsed our way through Spain.  Would Boqueria live up to those high standards? We were greeted by a large board featuring the specials of the day - special cheese, sangria, typical dishes such as tortilla Espanola, and....dum dum DUM!...in giant block letters - Jamon de Pata Negra! Often know by its more popular name, jamon iberico, this pork product is the fattier, fancier cousin of jamon serrano.  Salty, flavorful, and full of umami, jamon iberico is a cured meat whose enjoyment is worth of the most dastardly of migraines.   We started with some traditional dishes - first, the Tortilla Espanola, a traditional egg and potato omelet. We also ordered my second favorite tapas dish (my absolute favorite is coming up later) - Bunuelos de Bacalao, or cod fritters!  The citrus alioli was superb. wasn't too crazy about these Patatas Bravas (crispy potatoes), but eating buddy really liked them.   And finally, my go-to favorite tapas dish: dates stuffed with bacon and Valdeon, wrapped in bacon.  LOVE this - sweet, creamy, crispy and porky all in one.  Unfortunately, it was gone too quickly.  Into my belly, that is. We also ordered tapas that I hadn't sampled as much of in Spain, such as razor clams with sweet corn salsa and the sauteed wild mushrooms with pork guanciale and manchego. There was one mushroom that tasted sour, which although not unpleasant, was unexpected.  However, the cheese was an excellent addition - the manchego did not melt completely and provided a chewy, slightly curd-y touch. We also ordered the the shrimp with garlic and pepper in olive oil - the large chunk of bread that accompanied the dish was perfect for soaking up the garlicky goodness.   Our final dish was the creamy croquette dish - three were mushroom croquettes and the other three were chard.  While croquettes are common in Spanish tapas cuisine, these varieties were not.  The mushroom croquettes were especially delicious. Boqueria can't compare to the tapas I had years ago in Madrid and Barcelona, but I challenge you to find a place in NYC that does (no really, find one and let me know!).  That being said, the restaurant is perfectly suitable for primarily traditional tapas dishes, and the ambience is perfect for a Friday night out.  The dishes are a little pricey, but if you split among friends or find a dining coupon, it's not exceedingly tough on the wallet. Dependable location for mostly traditional Tapas.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.205197945; Sentiment_Subjectivity (from 0 to 1): 0.615313051 [/INST] Not Spam</s>