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syannn

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Spammer_sample

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 big shout-out to fellow Yelper, and friend, Radford T. whose review of La Sirene truly piqued my interest in this place.  And a very heartfelt thanks to my wonderful boyfriend, Jimmy C., whose penchant for surprises and slight francophilia, led us to La Sirene for one of my 3 birthday dinners this year! What can I say about this delightful little restaurant, other than, prepare yourself to be swept away by its romantic, little, cozy interior and a sensuous feast of a meal.  This is such an intimate restaurant, filled with tables of lovebirds, and though you sit almost elbow-to-elbow with your fellow diners, you can still be transfixed in your romantic meal-for-two.  Simply put, it's a great date spot.   Rundown of what we ordered:   APPS: 1) "Salade De Betteraves Fraiches Rotis Au Four" fresh oven roasted fresh beet salad, pistachio, diced apple and brie cheese ---- refreshing mixture of savory and tart.  This is a wise pairing to combat the fattier options you'll choose as appetizers.   2) "Tartelette De Chevre Frais Aux Echalottes" Truffles, Raisins Confit Et Voile De Vieux Gruyere goat cheese tart with shallots, truffles, grape and a veil of 90-days aged swiss cheese ----  a bold and sizeable portion, with a few tweaks, this could easily have been an entree all on its own.  The decadent cheese was very filling, and the crust was crisp and buttery.   3) "Moules Marinieres" steamed mussels in white wine and fresh herbs (the classic one) ---- the boyfriend said he enjoyed the briny taste of these mussels and ate the entire bowl of them.  Safe to say, it was a hit! MAINS: 4) "Filet Mignon De Porc Poelee Aux Morilles seared", sliced pork tenderloin, with morels, port wine, and lightly creamed sauce ---- absolutely delicious!!  Without question, this was the standout of the night.  This divine, inspired dish, is something I will recall for a long time!  The juicy pork tenderloins were infused with so much flavor from the morel mushrooms  and port wine, that it far exceeded my expectations.  The couple sitting to our left ordered the same dish, and both us girls wiped our plates clean.  I can't say enough good things about this particular entree.  I was blown away! Sidebar:  I didn't really care for the sides of veggies.  The cauliflower puree was probably the best-tasting one, delicate, sweet, and a nice smooth texture.  Otherwise, they all felt a bit unnecessary.   DESSERT: 5) "Big Profiteroles Au "Bitter & Sweet" Chocolate Good To Share" ----- on the menu, it says there's no need for an introduction as this is back by popular demand.  How could we refuse, right?  This dessert was intimidating!!  The rich, chocolate-coated mounds of ice cream are the only details that I can recall at this moment.  It was so exquisite and the use of artisanal chocolate really made this a very sensual and refined dessert. TIPS: Many have pointed out, this is BYOB establishment, but there's no corkage fee.  Additionally, reservations are highly recommended in light of their 25-seat capacity.  Lastly, for all the great and wonderful things about La Sirene, on the downside, they only accept cash.  Dinner can be quite pricey, so make sure you visit the ATM before heading over here.  Some guy had to leave his address and work info because he didn't have any cash on hand to pay for his meal and the nearby ATM may not have been working.  So by all means, avoid this embarrassment.  On the other hand though, they do have a $30 pre-fixe menu, so you can still enjoy all things La Sirene but at a cheaper rate:  lasirenenyc.com/menus/la…) This was a really special experience.  What sweetness and enchantment is to be discovered at La Sirene.  I can say I rang in my 20-something birthday in joviality with 'la nourriture excellente' !!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263060449; Sentiment_Subjectivity (from 0 to 1): 0.566799657 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 SOOO good!  I almost want to give it a 5 star rating.  If the service had been a bit more attentive it would have been.   Went on Sat night and had a beautiful time sitting outside on one of the nicest nights of the summer.   The location is prime and walking distance to a million places to grab a post-dinner drink. The pork enchiladas were insanely delicious.  Like, awesome.  Perfect textures, flavors, sauces, plating, you name it.  My friends loved their dishes too, but I was too busy scarfing mine down that I forgot what they had.   They have a great Mexican Mafia margarita, which had just the right amount of spice.  And we were pleased with the really nice sauv blanc by the bottle, which the waitress had us sample and compare to the albarino before committing.   The guac was beautiful, with a bit of radish on the top and a nice lemony flavor.  The chips were limitless.   A beautiful place and my new favorite Mexican downtown.  Awesome!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.537146765; Sentiment_Subjectivity (from 0 to 1): 0.694964526 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tucked away behind a suspicious green door (no the other green door) on Hudson St. is this cozy little restaurant that's too cool to find. If you've never been here before, your first few steps through the green door will have you thinking you just walked into someone's yard by accident - perhaps you did, best to double check. While the difficulty in finding this place adds to it's allure and charm, you'll be relieved to know that once inside it's not as pretentious as you thought. The interior design and decor is as thoughtfully prepared and presented as everything on the menu. I washed back the tasty Spiced-Rubbed Pork Tenderloin and julienned beets with a few Hudson Mules and was ready for a nap.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.000735294; Sentiment_Subjectivity (from 0 to 1): 0.376960784 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not all that impressed with my last visit here.  Went with the #6 (basil and chicken boiled dumplings) and #11 (pork fried bun) this time around.  The pork fried bun was excellent.  But the dumplings were...scary.  There were huge chunks of chive in there, as well as chewy gristle in the chicken which had to be spit out.  Plus the fact they had an odd pinkish hue, the color of a newborn baby LOL.  I tried one or two and just had to toss them in the trash.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.229166667; Sentiment_Subjectivity (from 0 to 1): 0.727083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is good and I love the design of the dining room and the open kitchen area , however it can get a little noisy and the service is a bit haphazard.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0825; 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: Took my boyfriend here for his birthday dinner and we had a wonderful time.  It is very packed and noisy (we were there on a Friday night) but we weren't too bothered by it because we were too occupied with our food.  We simply communicated our food-gasms through our eyes because the food just left us speechless.   We made a reservation for 9PM and we were seated in 15 minutes.  I really liked the decor of La Sirene.  Reading the reviews of the restaurant, I was definitely prepared for a small restaurant that didn't need nice decor to help the restaurant succeed.  So, I was pleasantly surprised by the decor.  It's hard to describe, it's very cozy, intimate but classy? Enough about the decor, I only stared at it for about 5 minutes before the bread was served.  I believe it was sourdough and I would have liked it to be warm but I could definitely tell it was fresh so no major complaints there.  (Also, you don't want to stuff yourself with bread.) We ordered the escargot to start.  It was my first time eating escargot so I have nothing to compare it to  It was delicious though.  Took me a minute to wrap my mind around the fact that I'm eating a snail but after the first one, there was no going back.   My boyfriend had the filet with foie gras (we love foie gras) while I had the hangar steak.  BOTH WERE SPECTACULAR.  The hanger steak was amazing.  It was so good I wanted to just scarf it down and yet slow down so I could just wrap myself in that moment.  My boyfriend's filet was delicious as well.  At first I thought the sauce ruined the steak but I began to like it (and almost miss it) after a couple of minutes.  I started just scooping that dark, thick sauce and eating it without the steak.  The sides included 4 different veggies.  I don't like eggplant and I was pretty indifferent towards the carribean potato and beans but I thought the sweet potato was ethereal.  It was just so smooth, delicious and balanced I just wanted to scoop the whole thing in my mouth and let it coat it all around.  But I was on a nice date so I had to act proper :( One thing that struck me as a bit weird was the paprika(?) that was sprinkled on the rim of the plate.  I wasn't sure if I was supposed to run my steak through it (I did but there wasn't enough to really make a difference on my steak), or if it's just there for appearance.  In my opinion, the food is really phenomenal and it really doesn't need the sprinkling but hey, not my restaurant and if the food is this good, the chef can sprinkle the rim of the plate with glitter if they want.   For dessert, my boyfriend got the apple tart (FLAMBE!) while I ordered the profiteroles.  Oh my God, I loved the profiteroles.  The thick chocolate sauce that coats all three LARGE profiteroles generously is just so...sexy.  Deep, dark and just full of secrets.  The pastry itself tasted very fresh and good.  So good that I didn't get to taste much of my boyfriend's dish.  But I'm going to say it was probably really good because he did not offer any to me.  The flambe was really cool, ($3 extra to set your dessert on fire, it's his birthday so I'll indulge)   I am looking forward to coming back to La Sirene.   P.S. My boyfriend really enjoyed the menu.  He thought it was charming and very personal.  Ordering took a while because he was reading the little background information in the back of the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.232110828; Sentiment_Subjectivity (from 0 to 1): 0.567272109 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The first time I went here was the second week of April. The food was excellent (had the vegan tacos, grilled veggies, and lamb lollies on that visit) The lamb lollies were so good that I had to have them again when I went back. Mother's Day (May 12th) must've been an off day! I saw another negative review posted for that day, and I'd have to agree. The lamb lollies were nothing short of a disappointment. They were extremely fatty! The last time the side of pumpkin was perfect... this time a little too candied for my taste. The pineapple, goat cheese bruschetta was just okay... a little too heavy on the pineapple. Finally, I had ordered the Old World Moussaka. The server did warn that this was made fresh to order and that it takes 20 minutes to prepare. Fortunately I was in no hurry, because it took closer to 40 minutes. If this place is to stick around for the long haul, they are going to need to work on consistency. Some friends had gone with me on my recommendation, and it proved to be an embarrassment. Such a shame, as I raved about it before. On a positive note.... they have their liquor license now. The prices are pretty good and I was pleased. But another piece of advice to management.... I know you just got your liquor license, but go spend a few dollars and have the drinks printed up on some nice paper and have it laminated. Even last minute, you could have had something better done up at Kinko's, rather than the photocopied, hand-scrawled drink menu. Just a tad tacky.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.174216301; Sentiment_Subjectivity (from 0 to 1): 0.503866249 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend took me here on my birthday! I would go there mainly for the Olive Oil cake dessert.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.166666667; Sentiment_Subjectivity (from 0 to 1): 0.333333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was absolutely our spot when my partner and I lived in Hell's Kitchen.  The food here is always amazing and the service is wonderful.  The only downsides to this place are the wait on a weekend night and how crowded it can get, but if you are up for sitting elbow to elbow you will not be disappointed.   I don't have any specific recommendations menu-wise as we've had basically everything on it and there wasn't a thing we didn't love.  Remember to check out the specials before you order - sometimes they have some really interesting items on there.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25625; Sentiment_Subjectivity (from 0 to 1): 0.721875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Simple perfection, made with love, great service.... Had brunch, came back later to eat again. Always a nice crowd, people laughing, having a great time. Sit at the bar if Chris is bartending, Teresa is also a great server... Just good people with great hearts, an eye for detail, and amazing charisma. All around an excellent experience. Try the Dutch baby pancakes.... The burger... And work through the drink menu... All of it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; 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: this was great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went to Grimaldis for the first time last night with my girls after a few drinks at Brooklyn Brewery. We've all lived in NYC six years or more and figured it was finally time to go to the proposed Mecca of NYC pizza. We orderend the margherita pizza, practically salivating with anticipation, and have to say it was a huge let down. The crust was great, but the toppings were not. I'm not Italian, but I have had pizza in Rome and fairly confident they would spit Grimaldis pizza out and throw it to their dogs. The sauce lacks the love required to make their pizza even remotely memorable, the mozz was not fresh and it's clear they skimped on the basil...Basil! The cheapest ingredient! Thankfully, I have several other pizza joints to select from, but now I know what I've been missing and it's nothing much.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.165316358; Sentiment_Subjectivity (from 0 to 1): 0.437808642 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 impressed with the staff and food. They weren't the fastest, but they were friendly and helpful, even while crowded. The restaurant was a little too crowded, but at least my friends and I had our own table and weren't sitting with people we didn't know. This place may get a bump to 5 starts in the future, it depends on how future visits go. Overall, I'm very impressed. Update: while I still really like this place and the friendly staff, I have on at least two occasions gotten empanadas that weren't quite done being cooked. They weren't raw or anything nasty like that, but had very cold spots (I assume they were previously very refrigerated). I still give this place 4 stars overall and like it a lot. The figs, caramel, and cheese empanada is drool inducing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.055984163; Sentiment_Subjectivity (from 0 to 1): 0.500678733 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very tasty menu and very accommodating to the dairy-free and gluten-free crowd. I have never had gluten- free bread and it was actually very good! Went on a random Monday evening, but for some reason a lot of the appetizers and some of the entrees were already sold out-- maybe they get their deliveries mid-week? Ordered the gnocchi entree and it rivaled some of the other Italian places I've been in the city that are much more upscale. The restaurant is on the smaller side, but it was never overly loud. Good for a casual dinner spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.164583333; Sentiment_Subjectivity (from 0 to 1): 0.526805556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 spot for a business lunch.  Wstaff is friendly .  Very stylish decor yet prices are very reasonable  especially when your paying the bill and not the expense account A great choice for early dinner nesr Grand Central.  Bottom Line: "bring your biss here for lunch when you ask for tvat raise..they will be impressed with the meal and the price"; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4485; Sentiment_Subjectivity (from 0 to 1): 0.733 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small. Tucked away. The only reassurance that we weren't completely lost was its bright store front in a mostly residential neighborhood. What I loved most about Grape and Grain was how homey it was. Dark, romantic, quiet and intimate. We were there on a Sunday evening so the place was pretty empty, and I was so comfortable in my little corner that I (gasp) took off my shoes... A great place if you just want to be left alone (if you want service here, you pretty much have to go up to the bar) and spend quality time with someone over a bottle of (very affordable) wine.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.205625; Sentiment_Subjectivity (from 0 to 1): 0.564166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: About 2 years ago, I got a craving for a lobster roll...and it never went away. At the time I was way over on the West Coast, not good for the craving. But now...now I'm here, here with Luke's Lobster. The first time I had Luke's I shared a Noah's Ark with a buddy - 2 half crab rolls, 2 half shrimp rolls, 2 bags of chips, 2 drinks for $38 - basically we got to try a bit of everything for about $25 pp (w. tax + tip). We had spent a long day walking the city and ate the rolls in this order: - shrimp roll - crab roll - lobster roll Unlike some other reviewers I loved the shrimp roll, it was sweet, bright and so noticeably fresh. The crab roll, however, was bland - in that the crab wasn't sweet or particularly flavorful - maybe I just am used to the delicious dungeness and king crabs we get on the West. The lobster though...the lobstah...oh the lobstah - buttery, sweet, slightly salted and complimented by the lightly toasted bread, swipe of mayo, celery, squeeze of lemon and their "secret spices". Perfect. Of course being lobster and all - it's not a treat I can have everyday (and the roll isn't that big) - but when that craving rears its head, I'll definitely be heading to Luke's.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.159782609; Sentiment_Subjectivity (from 0 to 1): 0.527173913 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fresh pasta! Great feel! Great staff!!!  Beautiful food!!! Authentic Italian food! Best hidden Italian restaurant around. Worth traveling over Brooklyn Bridge.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.500833333; Sentiment_Subjectivity (from 0 to 1): 0.448333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hubby said Mushroom pizza is heaven on earth!           It would be great if they give options of vegan salads, and pizza. It would make my dream come true. Nice patio area.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.583333333; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Simply delicious!!! The start was kind of slow, with Burrata, a little bit too much raspberry and not enough acidity. But hell did they come back from this false start... The Pig Cheeks are a must, the scallops really live off the carrot puree they're soaked in, and the bacon doughnuts, I mean they're delicious. But the coffee ice cream, with its roasted flavors, together with the smoky bacon - genius!!! Don't skip the Foie Gras either...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15785124; Sentiment_Subjectivity (from 0 to 1): 0.571590909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Need to have your head examined if you don't give this place 5 stars. Local haunt, went there with my wife on a Saturday night. For as crowded as it was (packed), service was pretty good. Appetizer and wine at bar were excellent, as was bread and meal.  Been a few weeks, so can't remember what we had, but go with the waiter recommendations. We did and both were excellent.  A lot of goat cheese in the entrees but not overpowering.  The affordability was just an added bonus. Might have been our best meal in the city.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.535714286; Sentiment_Subjectivity (from 0 to 1): 0.571428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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? You don't serve brunch cocktails? Otherwise great place and excellent food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.9; Sentiment_Subjectivity (from 0 to 1): 0.875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is excellent. The service is great and all the waiters are so incredibly kind and courteous. We ordered the seafood bean paste soup and I absolutely loved it. There was a lot seafood and plenty of tofu. Very tasty. My husband got the steamed lobster which was extremely fresh and sweet. The sides were very flavorful and we liked the leek and clam pancakes. The best thing about this place is they do not use MSG. I will definitely go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.529166667; Sentiment_Subjectivity (from 0 to 1): 0.608333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went to dinner twice with my girl and wasn't disappointed the service and the meals are excellent, a true gem in bk; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 price is really high compare what we had and service we received. First, our waitress was totally lost himself. He gave someone's bill to us when we just finished our appetizers. Then he came back with dessert menu, we looked at him very confuse said " we are still waiting for our main courses".  He then realized we were not done yet. Appetizers: Beef Marrow & Oxtail Marmalade $16.75 (it was good but too fatty, if we had second one, our cholesterol will shoot out the chart. ) Escargot  $13.00 (mine tasted awful, it felt like my escargot just got picked up from dirty soil) Main Course: Surf & Turf  $48.00 Whole Steamed Lobster, NY Strip, & French Fries (my husband skip the french fries b/c it was soaked in the juice with strip, lobster was fresh) Paella Basquez  $32.50 Clams, Mussels, Shrimp, Calamari, Chicken & Spicy Chicken Sausage (mine paella taste pretty heavy in butter, I had better ones before. i had few bites then rest of them took it home for next day lunch) Dessert: Profiteroles $11.75 Vanilla, Chocolate, & Strawberry Ice Cream with Hot Fudge (there were three min puffs filled with vanilla, chocolate, & Strawberry ice cream with a lot of hot fudges over all the plate. This is most expensive dessert i ever had).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.014047619; Sentiment_Subjectivity (from 0 to 1): 0.503214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Swordfish was The best. Perfect crisp on the outside. Juicy/tender in the inside!  I wasnt a fan of their cabernet... But the gamay was just right. The gazpacho appetizer  was a new one for me  But it was good. Of course i cany go wrong with the cheese :) the only downside is the price...but its def true organic food that is satisfying.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.351839827; Sentiment_Subjectivity (from 0 to 1): 0.658910534 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here the other night just walked in around 6. Decor is nice. Seems trendy. As for the food... I had the grilled octopus it was very good. Nice flavor and soft but not too soft. We shared the garden salad it was nothing special. Small portion. It was good. For my entree I had the sea bass. Again small portion!! For 27 dollars.. ugh I wish it was bigger! Although 27 seems to be the price all over the city for sea bass. It was a tasty dish. Except I'm 110lbs and I could have eaten 2 of them! Overall I would go back if I had money to burn. I think a manager kept checking on us to see if we were ok, Was nice. Id def go back and try other dishes.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.191950893; Sentiment_Subjectivity (from 0 to 1): 0.505071429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took a month to get a reservation here, so we were very excited to try this place out. I'm a huge fan of Pipa (also attached to ABC Home) and sorry to say this place didn't live up to our expectations. In fairness, they were very high. The wines are very affordable and we enjoyed ours alot. The ambiance is very sexy with a dash of home comfort, but the food was just alright. It's an expensive meal and didn't live up to the hype. I'd come back if I was trying to impress an out of towner for drinks at the bar, but probably not come back on my own.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.178325175; Sentiment_Subjectivity (from 0 to 1): 0.636692308 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow! Yum! For a place we ended up at purely because they would take a reservation for our large party, I was pleasantly surprised. You can be pretty healthy with some brunch options, and the portions are very reasonable. I had the Mediterranean breakfast with two eggs, labneh, chopped salad, and avocado. Others got the green shakshuka, and the croque Madame special. They looked really good too. I would probably try the grapefruit with granola and yogurt next time. Don't come here before noon Sunday because they won't serve cocktails, and don't come if you're really hungover because it's pretty loud and cramped. Like I had to sit up straight because people kept bumping into my slouch at the communal bench.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.220130952; Sentiment_Subjectivity (from 0 to 1): 0.598666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty much a "go once just to say you've gone" type of place. Yes, the sushi is superbly fresh and simple and delicious. Yes, it's the best uni I've probably ever had. Not enough to warrant the price though. Staff a little cold, much like the atmosphere. Not really willing to help with the somewhat confusing menu. If I'm spending $200 on a meal, I want it to last more than 45 minutes and not still be hungry. 4 stars for that uni though. Yummmm.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159821429; Sentiment_Subjectivity (from 0 to 1): 0.519557823 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crust, but way overpriced if you're willing to travel a bit further for a good pie. I guess it just has to do with rent, or maybe they're trading primarily on the "1st pizza spot in the U.S." thing. I don't know, maybe I'm just being cynical and bitter because I paid over $20 for a pizza that only had great crust and the rest was just good. And yes, when I am paying over twenty dollars for a pizza, I'm going to be picky about it. One big upside is that the lines aren't nearly as bad as Grimaldi's, and you don't have to walk across a bridge/take the train to one of the warmest subway platforms on the planet to get here. It's good, but it ain't epic.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217857143; Sentiment_Subjectivity (from 0 to 1): 0.622619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tribeca Frenchy -- After going here for the billionth time last night, I've decided to change my opinion of this place and give it 4 rather than 3 stars.   All you have to do to get a great meal here is to ask for MUCH less salt!  Your food will then come out perfectly seasoned.  (I find it absolutely astounding that some reviewers think the food is UNDER-salted here, but I suppose that just proves that salt is 100% a personal preference.) As I said in my previous review -- French food here is all-around solid, and the pasta, burgers, sandwiches and mussels are especially delicious.  If you get steak, go with the skirt steak (delicious and also the cheapest steak on the menu) over the filet mignon (very mediocre, compared to filets from other steak joints (I have in mind Delmonico's)).; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.431666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: $6 huge combo platter (lamb and chicken) over rice with white sauce and hot sauce = twu wuv. We were staying at the Hilton, so my coworker's room overlooked the halal cart spot. Don't be fooled by the other carts that are there during the day. They set up at 7pm and are pretty much ready at 7:30. The line forms at around 7pm, so if you hANGRY, get in line or create the line if there isn't one. I was tempted to get up at 3:45am to pick up a plate to-go for the plane ride back to SF. Imagine the jealousy that would ensue on that 6 hour flight. HAHA. I wish we had a halal cart in SF. :(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0175; Sentiment_Subjectivity (from 0 to 1): 0.5875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 here with my family while visiting in NY. For an appetizer we ordered the Grande. I believe it had like 6 types of meat but it's been a while. All I remembered was that it was really good. I ordered the Bucatini All'Amatriciana. It was really good. Really tasty but I thought it was too little. Because it was too little, one of my other family members and I shared the Hanger Steak. The steak was really juicy and it was cooked perfectly. For dessert, we shared the Spiced Dates and the Tartufo. The dates were sweet but not overly sweet.  The Tartufo is really good. I like anything with chocolate so I preferred this dessert over the dates. The service was fine here. Not a lot of people inside when I went but the waiter came by to check on us often. I hope I can come back to try other dishes. I recommend coming here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.285119048; Sentiment_Subjectivity (from 0 to 1): 0.482142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars.  hate to do it, but i'm docking anella 1.5 stars, ostensibly for its limited dinner menu but mostly because it seems that their always tasty pizzas have gone missing.  when did this happen?!  yes, i've become more of a brunch customer in recent months (still yum, by the way, brunch, that is), but it's a sad day when a gal is forced to satisfy a pizza craving with a lackluster pasta dish.  and it's not that i didn't choose the right pasta dish because when i tasted my dining companion's, i was equally disappointed.  when i think ragu, i think hearty meat sauce, but sadly, his pasta looked and tasted a little too much like my veggie option.  that can't be right, can it?  but maybe i'm being too harsh?  maybe i had pizza on the brain and nothing else would make me happy?  but wait, something actually did.  the dessert.  god bless the apple crumb(le?).  lord, that was tasty.  seriously tasty.  sweet but balanced well with some magical blend of spices.  and crisp and crumbly, oh yeah, heavenly.  now just bring back those pizzas, please, and i'll fall in love (head over heels love!) with anella anew.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.037673611; Sentiment_Subjectivity (from 0 to 1): 0.533234127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 the roast beef sandwich - it was great. The hibiscus martini was good, but "The Picnic" was probably one of the best cocktails I've ever had.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.833333333; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to absolutely LOVE this place. Like my-favorite-I-go-here-all-the-time LOVE. But they changed. Totally. Raised the prices, removed half of the menu (and all of the things you could order that weren't on the menu, too, like the Fettucine Alfredo with grapes and asparagus.) I go there, and can't help missing the old paprika. The chill music, the brick walls covered in various hanging ornaments, and the authentic italian vibe infused with a bit of east village. Now, its just expensive italian food, and honestly, nothing special. The bread is fantastic, though. If only you could just eat that for dinner and leave.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.139365079; Sentiment_Subjectivity (from 0 to 1): 0.512539683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: MARONE A MI!! WHAT A MEAL!! After talking about making a reservation at this local Austrian joint for weeks, a friend of mine finally pulled the trigger and reserved us a table for my birthday.  Although I have been known to talk about trying new places and never following thru, I am elated that I got up to this gem in a semi-timely fashion. First off, the setup in this place is different.  There is a huge communal table, (reminded me of the scene in Braveheart where all the nobles are breaking bread and the body falls from the rafters) and then several surrounding tables along the walls.  Although our reservation was for six (believe that is the minimum at this place which I did find a little booji) the table was really for five.  We made due and to be honest it was a nice change to have everyone close together -- didn't have to scream and everyone was engaged in the conversation.  I won't go into detail but the decor and ambience was great. Now to the food.  We started off  with one of each of the shared plates.  The flatbreads and spatzle were to die for. The g-d-damn of it is that those two still took a backseat to the baby back ribs.  Cooked to perfection; I wanted to go into the kitchen and personally shake the chef's hand.  We also got the cured pork belly but that wasn't really my scene. For the main course we pre-ordered the duck (I believe this needs to be done 24 hours in advance).  According to the waitress (who did a fantastic job) the entire restaurant was jealous of our choice.  And for good reason!  I haven't had an experience involving a duck this good since Julie "The Cat" Gaffney stopped Gunner Stahl to win the Junior Olympics!  So tasty and it came with some great sides (potatoes, mushrooms, pears, veggies).  Absolutely delicious!! I can't wait to come back and try out the rest of the menu!  Good job Edi! Good job Wolf! I feel proud to have this gem right around the corner in a-cids!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.357422439; Sentiment_Subjectivity (from 0 to 1): 0.518564214 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sausage and fennel pappardelle simply the best ....this is, if not the best, one of the best Restaurants downtown; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 0.314285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice little place that, thanks to yelp, we found and tried.  I would recommend sampling a variety as they were all pretty good, though nothing extraordinary.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.315972222; Sentiment_Subjectivity (from 0 to 1): 0.716666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just realized when we went to this spot that it was where Arunee use to be. Overall when it comes to the changes they made I would give them a five star but as far as the food I was a little disappointed. I had this place bookmarked for a while and it was also recommended by a friend but I guess you can say my particular visit there only deserves a three star. We ordered the roti, seafood pad se ew, tom yum soup, seafood thai fried rice and mango salad. The portions are pretty small compared to what I'm used too. The tom yum soup was good. It had a light spice to it and it was flavorful. The thai fried rice with shrimp was a bit small in portion but I got two raw shrimp pieces in the dish so we ended up only eating the rice part. Roti was fabulous. My husband and I had mix feelings because it was on the sweet side which i prefer. It's basically sweet curry, no spice at all. So it really depends on the persons preference but if you have a sweet tooth like me then  you'd like it cause I did. The pad see ew needs a bit more flavor. Mango salad is one of my favorites but it wasn't as sweet, they used green mangos so it was a little hard and dry then the ones I've grown to really like. Over all I think this place has potential but I'm just a little picky on thai food because it's not my favorite but some places just make it really good that I've started to love it. On a side note: service was great and on point. Our waiters were there and took care of us flawlessly. regardless try this place! It was just one visit for me maybe it just didn't go well.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.162970753; Sentiment_Subjectivity (from 0 to 1): 0.626141827 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fixture for a reason. All the burritos are great. Only downside is that seating is limited.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.242857143; Sentiment_Subjectivity (from 0 to 1): 0.630952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ordered the grilled octopus based on other reviews.  It was definitely cooked well - nice and tender and not at all chewy - and it was tasty enough, but it had a little too much lemon for my tastes. Perhaps next time I'll ask them to 86 the citrus. I also ordered the seafood spaghetti from the 'specials' menu. It was average. Not bad, but nothing to rave about, either. It had plenty of calamari rings and 3 or 4 clams and shrimp. I'll definitely order something else next time. I decided to stick with seafood on my first trip, since it's a seafood joint, but next time I'll try some meat dishes. ** While they DO accept credit cards, they only accept cash tips. So make sure to bring at least a few bucks to tip your waiter. **; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.055147059; Sentiment_Subjectivity (from 0 to 1): 0.433169935 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seriously..ok.   Seriously over rated.  From a middle eastern person, this is good but so generic.  The line is absoultley bonkers most nights, the tender and succulent chicken, gyro or lamb {or even better the combination} served in a warm fluffy pita or in a platter with rice & pita; portion is big enough to share for $6.  White sauce is too weird and seems mayonaise based which is totally not middle eastern, put it on the side in case you don't like it.  The red sauce.. WAAAATCH OUT its SPICY SPICY SPICY!  Worth trying but for anyone living in the NY area, nothing special; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.077871148; Sentiment_Subjectivity (from 0 to 1): 0.381652661 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If I would I would give it 3.5 stars but for this one instead of rounding up, I had to round down.  The ambience was great, decor is befitting of meatpacking district and that goes along with the uninvited feeling that I felt when I first walked into the door.  The hostess that greated me was less than pleasant.  That aside, the dining room staff was more than attentive, our waiter made sure that we were taken care of.  To start, their assortment of bread was excellent...I could sit there and eat it all night.  The entrees (I got the black squid ink noodles with uni)...the flavor was good but way too oily for my taste...I left there feeling like I had drank a whole gallon of olive oil...(i hear voices telling me that.."well durh, this is italian food, it's suppose to be greasy)...it is but this was just a bit over the top.  I would suggest for people to come here, the food is tasty but first impression is important for me.  I left the place with a happy tummy but also with the same empty welcome I felt when I entered.  The hostess' seemed too preoccupied in their own world to give a hoot when my friends and I were exiting the restaurant.; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.288888889; Sentiment_Subjectivity (from 0 to 1): 0.51678744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I must be missing something.  4 star average?  Maybe it's because I didn't get the Grandma pizza.  They did have a large selection of heroes and desserts as well, but I didn't give those a try. I gave the sausage and peppers a whirl along with a spinach pizza.  I started with the sausage and peppers only to be bombarded with a very salty pizza.  I was thinking okay, maybe it was the sausage.  Well I was wrong, it was the pizza because I ate the spinach and it was just as bad.  I would have expected the spinach version to be much less salty, but it was only a little bit. I would definitely have to say they do have a large variety and the crust was crispy, but I've had much better pizza in New York.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.014951975; Sentiment_Subjectivity (from 0 to 1): 0.505938853 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 way too crowded all the time to get more than 3 stars, but the meatballs are damn good and the ice cream sandwiches are AMAZING.  You get to pick what kind of cookies you want and what kind of ice cream.  I recommend chocolate chip cookies, espresso ice cream.  Just walk in past the huge crowd of people and order one at the take-out spot and eat it outside somewhere.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.39375; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After randomly running into some friends on the street, we decided to catch up somewhere, preferably at a bar. Now, obviously Guayoyo is also a restaurant but the bar area is fantastic to sit at. In addition, we came in around 11:15pm and the party was still going strong! The whole atmosphere was so festive which is probably why we stayed so long simply talking, drinking carafes of decently priced and delicious sangria while noshing on some delicious guacamole that comes with banana chips! I would definitely go back the next time I'm in the east village and try more of their other food!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.221577381; Sentiment_Subjectivity (from 0 to 1): 0.52372449 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would put 10 stars if they were available! The GF eggplant lasagna was outstanding. I will be craving it until the next time I am in NYC! It was 16 oz of deliciousness...everyone else loved their food too, including our picky son who is eleven. Thought he'd fuss about the wheat pasta. He was too busy shoveling it in his mouth to notice!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.365; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My childhood bestie Ada D. decided to celebrate her quarter of a century birthday here at Vesta! And what a wise decision it turned out to be!! My friend and I were the first guests to arrive after Ada, and already Ada was seated at a table for seven. That NEVER happens anywhere! Some places refuse to seat you if even ONE person in your party is absent! Yet they seated her right away with no one there. Definite plus. It wasn't as if it being a Wednesday meant the place was dead. It was relatively busy! After we all arrived our awesome waiter essentially described everything on the menu to us in astonishing detail. Unfortunately the menu was very limited in my opinion. I'm not really a one page menu kinda guy. Even if I usually stick to what I like (I'm not adventurous when it comes to food) I still like options. The only reason I'm not rating this a 5 star is for that simple reason. Having seen that slow-braised meatballs were on the menu, we all wanted to know how many were served. So upon a dare I asked the waiter "How many balls are there and how big are they??" LOL!!! The best part was, as predicted, when the waiter laughed and said "You have no idea how many times I get asked that!!! THREE BALLS!!! You get THREE!" HAHAHAHAHA!!! Good times! I ended up with the pizza. : ) The margherita pizza was quite tasty, with a very thin almost cracker like crust. I'm not a huge fan on crust so thin it's almost not even there. Nor am I a deep dish guy. Somewhere in the middle is good. However, it was delicious and HUGE. For $10! Can't beat that. As someone at the table said "This is Manhattan food at Astoria prices". I like. Ultimately with a couple glasses of wine, a bowl of butternut squash soup (really good, smells like the Holidays), the massive pizza AND covering a good portion of the birthday girl's tab, the total for two of us was $40. NOT BAD. YAY!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.282290179; Sentiment_Subjectivity (from 0 to 1): 0.610714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tater Haven was good but not sure about the gravy. It tastes creamy nth? chicken and waffle was good. but I wouldn't go back..; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.11; Sentiment_Subjectivity (from 0 to 1): 0.607777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not a huge tapas fan, but I came here with friends last week and was pleasantly suprised.  The food was good, the service was friendly and prices were very reasonable.  I will be back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.266904762; Sentiment_Subjectivity (from 0 to 1): 0.544761905 [/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: Ambiance: cozy, trendy, somewhat of a "Mad Men" feel, the most comfortable chairs you'll ever sit in while dining, intimate lighting without being too dark to see your food Service: phenomenal, attentive, accommodating Food: quite possibly the best I've ever had. ever. The bread is glazed with duck fat and sea salt (I described this as "magical"....we obviously needed seconds). We had a delightful refreshing amuse bouche with melon foam. The octopus ceviche appetizer was a work of art bursting with flavor. The wild mushroom gnocchi = dense pillows of perfection. For mains, my boyfriend had the arctic char with coconut lemongrass broth and I had the duck with bacon, brussels sprouts, and endive marmalade. Each bite was an explosion of carefully thought out deliciousness.                         out.of.control. Because we were in a bit of a rush, we didn't get to dessert, but to our pleasant surprise we were given a complimentary trio of sweet "bites" followed by a pallet cleanser; dark chocolate cake bite, passionfruit mini profiterole, and a passionfruit square... topped off with a blackberry sage shooter. I will definitely be back. And you should definitely go- your Yelp search for an excellent New York restaurant that is not overpriced ends here!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.281151515; Sentiment_Subjectivity (from 0 to 1): 0.680848485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Westville is a staple for us!  We eat at Westville in Chelsea or the West Village at least 1-2 times a month.  The quality is outstanding and the service is great.  I usually have the veggie burger (the best in the city in my opinion) and my husband has the hot dogs, grilled chicken or hamburger.  The veggie sides are also flavorful and generous.   The dessert is one of my favorite things about Westville.  The blueberry pie, carrot cake and mixed berry crumble are soooooooo good!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2775; Sentiment_Subjectivity (from 0 to 1): 0.6225 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To be honest, I very much wanted to give Jeepney five stars, but the only thing wrong was the bartender.  His attention was hard to catch, like the elusive golden unicorn, and I seemed to be bugging him with my drink order, asking for change, and tipping him.  You know, just me being annoying. Now, the table service was the best I've had in a long, long time.  Our waitress was knowledgeable, friendly, attentive, but not overbearing.   The food?  Oh, man.  The food was unique, complex yet simple, and most importantly delicious.  Oh, and very, very well priced. The fried tripe with the banana ketchup? A perfect start to the meal.  Even unadventurous eaters would enjoy the meaty, well seasoned tripe. The banana ketchup was such a deliciously unique experience.  Jeepney, bottle this and sell it.  I will buy it all. The balut, the fertilized duck embryo egg, was scary to eat, to be honest.  However, the waitress explained the process, like a nurse about to administer a shot to a child, and made it less intimidating.  with the seasoned salt, the balut was very, very good.  It tasted like the freshest duck I'd ever eaten.  And I've eaten tons o' ducks. The bulalo- beef short rib with bone marrow, corn, cabbage, onion, lotus root and potatoes in beef broth- was perfect on a cold day.  The perfectly balanced flavored warmed me, completely.  The marrow was meatily buttery and the broth was great with the rice.  Speaking of rice, the coconut rice is a must have.  Not with the bulalo, but get it as a side. The Pancit Malabok Negra- palabok rice noodles, squid ink & shrimp romesco with hard boiled egg, calamari, oysters, shrimp, scallops, baby octopus, tinapa, smoked tofu and chicharron- was a great amalgam of delicious seafood, eggs, and most importantly, chicharron. Yum, who doesn't like fried pork skin?  Terrorists. The Bicol Express- slow roasted pork shoulder in coconut milk, sili and bagoong sauce with vigan longganisa, pickled chilis and baby bok choy- was juicy and flavorful. When you get this, just make sure each bite has some pickled chili and bok choy, a perfect balance of sweet and spicy.   The whole meal was almost to the "punch your mama in the mouth" level of good.  I'm also a fan of San Miguel beer, now.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.296777778; Sentiment_Subjectivity (from 0 to 1): 0.65724515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 small tea house, located a flight up from street level, is classic Japanese in style and atmosphere, and really reminded me of places I visited in Japan.  The staff are Japanese, and not all speak English well.  Upon entering at the top of the stairs is a small bar (seats about 6) that faces the cleaning and tea prep area, backed by shelves reaching the ceiling holding large jars of tea.  You can see through to the kitchen in the back where the food and desserts are made.  The dining space is fairly small, cozy, everything in dark wood paneling. The menu has food options, mostly simple rice dishes and small plates, with some sets offered.  Also a large choice of desserts and many teas to choose from.  They also have beers, including some not typically found in most places.  The menu is separated by tabs. Having come after eating a meal elsewhere, I went with the chef's dessert assortment, which included a tea.  I really should have tried a hot tea (usually my preference).  Unfortunately, fresh off the street and hot sun, I submitted to impulse and got a cold hibiscus tea, which was quite nice: tastes simple but sweetness and hibiscus flavor were well-balanced and smooth. There were five different items in the dessert assortment, in small but reasonable portions: -  yogurt ice cream with fruit compote - refreshing, very mild yogurt flavor -  pound cake with strawberries - light cake, light cream, not very sweet -  basic flan - surprisingly sweeter than I expected for the Japanese take on flan but no sweeter than Spanish flan tends to be; caramel flavor is very strong but also just a bit burnt -  scone - very fresh, lightly crisp exterior and crumbly interior with a light filling.  Better than any scone I've ever had before. -  mini nut muffin - also fresh, warm, slightly crisped exterior Overall the desserts, while not extraordinary, were fairly good.  Cha-An is a pleasant place to briefly get away from the busy city life.  Its also a great place to visit if you're looking for an authentic, simple Japanese tea house/snack place.  Just wanted to also mention that their bathroom comes equipped with the multi-function Japanese toilets, which are awesome.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.177551192; Sentiment_Subjectivity (from 0 to 1): 0.46814598 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bacon hung on a line.  Order the bacon app.  Yum!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First and foremost, ADORE the decor. The atmosphere is set as you start your walk down a deterring alley.  Excitement fills my veins each time I walk down Freeman's Alley, I begin to reminisce of my club days in New York when we'd venture to the most awful locations and have the most amazing times. Upon entering the hipster exquisite restaurant, a regular New Yorker is comforted by the unfriendly but simply scrumptious hosts. That burly, bearded bartender often gets me flustered with his unrelenting, unmannerly ways, but he makes up for it all by living up to his hipster persona with perfectly crafted craft cocktails.  I could watch him mixology every day away. The cuisine, "imagined to be early American: simple, rustic and inspired by old world traditions," is what it is, comforting, and in this cozy, hipster kingdom, it makes me long to nuzzle up to the overly curated, lumberjack bears on staff. One Snap Up!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.144690324; Sentiment_Subjectivity (from 0 to 1): 0.482179516 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 really not one to offer a review based only on the experience with a restaurant's waitstaff... but unfortunately, Ofrenda really left me no choice. My friend and I walked into Ofrenda around 4:30PM last Sunday - in that weird time between brunch and the start of dinner service. The waiter who greeted us explained brunch service was over, and there was a limited happy hour menu for food. He had just given us menus for the happy hour when another man - I'm assuming the manager - came over. Without greeting us, he curtly asked if we had a reservation. Excuse me? Your restaurant is barely 1/3 full and it's nowhere near lunch or dinner. He then TOOK THE MENUS OUT OF OUR HANDS before we even had time to reply. I was so shocked that I simply turned on my heel and walked out. Horrible. I live around the corner and would have loved a new spot to satisfy my occasional craving for great Mexican, but this could be the best cuisine in the city and I wouldn't set foot inside again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.084839074; Sentiment_Subjectivity (from 0 to 1): 0.504183136 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 this place is a bit hyped.... it's was  good portion, but it's mostly rice.  plus i don't think the meat is flavorful enough.  eh... i've had better...; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.425; 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: I don't think this place needs anymore reviews but I feel like giving one anyhow. I'd like to start off by saying it is really really good pizza. The cheese is delicious! the place is small and quite crowded. I went during a weekday maybe like around 2pmish and I was able to find seating right next to Vince Vaughn's picture. Good luck finding room on any other given time. Back to the point, the pizza here is like no other (or I could just be thinking that since I am from California), but seriously its worth the trip. TRy it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.242906746; Sentiment_Subjectivity (from 0 to 1): 0.439781746 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars. This review is only for the Torta de Queso Blanco y Aguacate. That tort is delicious. Vegetarian with white cheese, spiced avocado, chipotle mayo, black beans, red onions, lettuce, and tomatoes. Well toasted on torta bread with a side of fries. Side of fries is nothing to write home about. The sandwich is amazing, though. The flavors don't taste classically Mexican and just go so well together. Everything is very fresh, good quality, and the sandwich is light and healthy for a torta yet substantial. Each ingredient adds something to the sandwich and there is no filler. Super delicious. On a Sunday around 3 pm there was a 15 minute wait for a party of 2. It cleared out a little more by around 4 pm or so. The waitress was super cute and animated, but she didn't crowd you nor did she rush you at all. Fun vibe, casual, yet with personality. Loud music playing, lots of hustle and bustle. Vibrantly decorated.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.284246032; Sentiment_Subjectivity (from 0 to 1): 0.586507937 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dear Owners of the Dbl Windsor.  What happened to NO KIDS AFTER 5pm!!!!  I am completely displeased with the fact that I had to watch an obese woman breast feed her child tonight while I tried to finish my dinner.  PLEASE DO SOMETHING ABOUT THIS.  I love that place but have no problem telling the rest of your regular customers not to go there because of this obvious lack of respect for ADULTS that patronize your establishment! THANK YOU!!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.15; Sentiment_Subjectivity (from 0 to 1): 0.394230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: cool place Super loud, Service is friendly and quick, make reservations love the bar.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.331944444; Sentiment_Subjectivity (from 0 to 1): 0.619444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: okay, but not worth waiting for 1.5 hour. I cannot believe it is the mostly reviewed brunch spot in Manhattan on Yelp. I would recommend Sarabeth's west or Balthazar instead, for the quality and the taste.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 live this place!! I come here for the shrimp dumpling soup!!! Just order it. Trust me!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.520185991; 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: 24/7 - simply great. went there around 12am. good service, waitress actually spoke english well and paid great attention on small dishes repeat. ordered beef sundubu mild spicy and bibimbap. before main dishes, they serve a small fish appetizer which was good. bill came out to $30 w tip. def will come back, especially when many food places are closed late night in the city.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.206666667; Sentiment_Subjectivity (from 0 to 1): 0.442222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'll start by admitting that I've never gone to Miriam's for brunch -- a fact that saddens me as I read all the glowing reviews.  I have, however, gone for dinner several times.  The tapas are delicious -- small, yes, but they're not very expensive.  The burekas are fantastic!  The staff is great -- the last time I went, the brought out dessert for free.  Baklava is pretty hit or miss in NY, but here it's definitely a hit!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.289230769; Sentiment_Subjectivity (from 0 to 1): 0.595512821 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their burrata appetizer is to die for. Go early for dinner on the weekends because they run out quickly.  I've tried the Tagliatelle pasta w/ the Bolognese sauce and the Veal SCALLOPINE.  They are both amazing.  Hands down one of my favorite restaurants in the city.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275555556; Sentiment_Subjectivity (from 0 to 1): 0.597777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 1ST THING u should order is soup dumplings- shao long bao. The price is so cheap and they are delicious! Foood is great and service was good too. But my only complaint is the interior of the resturant, the light was dim and it looked kind of shady. Dont be mistakened though because the food is delicious. Other notable dishes are the singaporean noodles and fried man tao; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.341071429; Sentiment_Subjectivity (from 0 to 1): 0.660714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for breakfast on new years day, great prices good selection, there char su or BBQ pork is highly recommended, we also ordered some wonton soup with noodles, very good as well.  Its is nice to be able to walk around chinatown and stop by almost any restaurant and get high quality won-ton soup with real stuffed wontons and hong kong noodles, not the crap that is served in the mid-west that barely has any meat in it and real weak broth. Back to the review there chilly oil is amongst the best I have ever had they infuse it with garlic and ginger very flavorful perfect for dipping the BBQ pork.  Again as in all chinatown restaurants bathroom beware and cash only, luckily this restaurant has an ATM inside!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.268679226; Sentiment_Subjectivity (from 0 to 1): 0.618967305 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Intimate restaurant with a great ambiance. Had the special of the night, a braised lamb served over mashed potatoes. The meat was so tender it just fell off the bone. Nice flavor with the perfect hint of red wine. Tried my friend's grilled ribeye with garlic butter. A bit on the chewy side for medium rare. Will have to come back to try the mussels and beer!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.407142857; Sentiment_Subjectivity (from 0 to 1): 0.602678571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Intimate, romantic, authentic, small tables, brusque service ... felt like I was in Paris.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.1125; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I guess Chelsea is equivalent to Weho here in LA so I expected it to sort of be high-end and pricey. It was definitely one of the nicer places we visited while in NYC. Everything looked good on the menu and I opted to get the steak and eggs and found that it was only $12 dollars. What? Really? Its cheaper then getting it at Norms or Dennys and it was way better. The service was really good and our food was delicious. Best cure for a hangover is good food and good company.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.490909091; Sentiment_Subjectivity (from 0 to 1): 0.572727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cash only AWESOME falafel! Small shop so it's best to get your items to go. They had a poster up with suggestions for a nearby park to sit and enjoy your food. The falafel sandwich was so flavorful and they give you plenty so you feel like you got your money's worth. I couldn't even finish the whole thing! We also got the fries with truffle mayo...good but I'm more of a ketchup kind of girl. Can't wait to go back during the summer time and try to smoothies!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.38; Sentiment_Subjectivity (from 0 to 1): 0.51 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 amazing dinner here & even got to meet Marc Forgione! We went here as a celebratory dinner of me getting my new job. Want to go here again and again. Service, Food, Ambiance were all amazing!! They are great about suggesting, easy with food allergies and are aware of when you need something but don't hang over you. Definitely one of the best places I've had in NYC. You should definitely make a reservation as they got packed (which we did). Next up is trying their brunch!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.430719697; Sentiment_Subjectivity (from 0 to 1): 0.538787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's always loud in here because conversation echoes off the bare brick walls, and the greenwich village college crowd is suffocating. Being sandwiched between two pairs of brainless sophmores having girl talk is par for the course. Too bad, because the restaurant is pretty consistent in quality and at least it's neat watching the cooks while you're waiting for a table. Service isn't that bad by New York standards, and what can you expect if it's busy all the time?The food is good, my girlfriend basically got addicted to drunken noodles because of this place, but it isn't enough to keep us coming back. The standards like Pad Thai and  Green Curry are all satisfying and well done. Still, I wouldn't object if my friends wanted to come here because I'm dying to try the Thai Burger.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.044602273; Sentiment_Subjectivity (from 0 to 1): 0.508617424 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is amazing, hands down the BEST ramen in nyc, the wings are tasty too.  They aren't super organized with the list of names considering how insanely long the wait is to sit down.  While it is nice that they'll call your cell when your table is ready, it only makes it worse when they tell us to get there as fast as possible but upon our arrival its still a 45 minute wait.  Why call us so early then?!  Also witnessed a somewhat racist seating preference when a group of 6 Caucasian men came in they were told it was a 4 hour wait, but then 15 minutes later when a group of 5 Asian men came in they were told 2.5-3 hour wait.  Not cool.  Worth waiting 4 hours though as the food is spectacular and not crazy expensive.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.141111111; Sentiment_Subjectivity (from 0 to 1): 0.554722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's a great feeling when you walk out of a place knowing you've found a true keeper. This was my second time at the establishment, and it comfortably sealed its position as one of my favorite bars in the City. My two first-timer friends definitely felt the same - they couldn't stop praising the place. The vibe is perfect for the Financial District. The first floor is small, narrow, old, wooden, dimly-lit. The walls and ceiling are covered with old black & white pictures of immigrants, locals, what-have-you of years past. They did a really great job emulating downtown New York during the great immigration boom. To further prove this point, the location was even used for filming Gangs of New York. Anyway, I forget my first time, but this second time around I had this great, warm whiskey punch, my buddy had a superb old-fashioned, and my other buddy simply had a beer. Finally, after a bit of a wait, we were finally allowed upstairs. The upstairs has much more of a saloon feel (they call it "The Parlor"). All the waiters/waitresses/bartenders wear matching red outfits. The music was pretty entertaining, too. For example, they played the Austin Powers theme song along with a neat instrumental version of Eminem's The Real Slim Shady (instantly recognizable, but a unique twist on an overdone song). The cocktail menu is a wild ride. Basically, one picks from one of let's say 9 moods (sharp, bitter, fiery, low-spirited, etc.) based on the life and times of...well, I actually forget who, but some bloke from back in the day. Each "mood," or drink theme, brings you to a different page in this thick book-of-a-menu. Within each "mood," one picks a drink. The mood reflects the drink-type. For example, a drink under "bitter" would be more bitter, or use more bitters. Creative concept aside, the drinks are crazy good. I've never had the food, but the drinks are top-notch. We were all pretty much blown away. Like, let's-keep-repeating-ourselves-to-the-point-of-­annoying good. Would I come back? Yes. Did I stutter? No. This place is in a league of its own and an easy FiDi staple. If it was in any other neighborhood, I would be here all the time. But you know what? Even if it's in FiDi, I vow to come here more often. It's just that good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.22014678; Sentiment_Subjectivity (from 0 to 1): 0.518352611 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 falafel here is delicious. Definitely one of the best in town--fresh and made to order. The sauces, especially the amba, were very tasty and nice additions. I'd have to say, though, that the food is overpriced for what is basically a takeout place. The sandwich price wasn't too bad at $6.25--considering how very good it was--but $5 for a very small container of salad that is basically a topping from the salad bar? Ripoff. Platter prices are also quite steep. Nevertheless, if you don't mind paying more for takeout than you should, you will get some excellent food at this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.380454545; Sentiment_Subjectivity (from 0 to 1): 0.687878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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! Super cozy eatery with a variety of selections. There was no wait time when my friend and I got here. Seated quickly and served quickly as well. I got the fish and chips, yum! The servers are super nice. Food was delicious and reasonably priced. Will have to come by again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.40462963; Sentiment_Subjectivity (from 0 to 1): 0.698148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fave spot for authentic Greek food. If Greeks line up to wait to get in and eat it must be good no? Menu is simple and offers great selection of seafood. Everything is fresh and tasty. I wish they had more space so we don't have to wait so long! I don't go anywhere else when I want Greek food!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.28375; Sentiment_Subjectivity (from 0 to 1): 0.385714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You could probably walk through Park Slope and lose count of the trendy Thai places you pass after only a few blocks. First off, you should have better things to be doing than counting things like a little child. Second off, very few establishments out of this Thai restaurant surplus in the area are actually any good. Song is one of these few. Mighty good, at that, as well as mighty affordable. The Homemade Chicken Curry Puffs appetizer are a clear stand-out, despite having not yet been called up for a spot on the everyday menu, but appearing rather as part of the specials (which still seems to be the same roster each day, mind you - semantics, I know). Curry is a far cry from being a buzzword for me the way prosciutto, duck, and fried are (some people have a sweet tooth, I have a really salty tooth), so I was a bit surprised myself how much I loved these hot and tasty, meat-filled pastry pockets the first time I tried them. And since then, they've remained a staple with each visit. Face your curry demons! Embrace the curry flavor! Anyway. The Fried Calamari is another worthy appetizer, for sure. You may not think much about ordering them at first. Then, you will see table after table around you with huge piles of squid goodness and be food-envied into flagging down the waiter to tack just one more item onto the bill. Lightly breaded, and served with a very nice Thai sweet chili sauce, the small, at $4.25, is more than enough for two people. And trust me - this is coming from a recovering glutton. I've been in a dark, fat place before, people. Then there's the Pad Thai. The biggest portion of Pad Thai I've ever had at any Thai joint. Seriously, I feel like a giant dump truck of noodles had to back up and unload itself onto my plate before it was brought to the table. I think the technical measurement here is a shit-ton. I don't know, I don't speak Metric system. But this shit-ton of Pad Thai is delicious, having seemingly found that wonderful, much sought-after happy medium between too soupy and not enough sauce. Plus, it's $6.95 and sure to yield leftovers for tomorrow's lunch. The staff, however, is something else. The host will barely acknowledge you, and when your table is ready, he will not say a word even when asked a direct question, he will walk no more than two steps away from the front bar, and he will simply point you to your table from across the room. He even hands the menus off to some server or busboy to bring to you well after you've been seated. Rough day at the office, I see. And while it doesn't get much better with the servers, I'm afraid, I really can't hold cold, stand-offish service entirely against Song as a whole. I've grown accustomed to the notion that the cooler-than-thou robotic antics of the staff are to be expected and it's always good for a laugh or two as part of the experience. Song is perfect for entertaining friends not from the area. Its stark yet chic interior, outdoor patio, full bar, and occasional DJ set can paint a pretty impressive picture of what the hood has to offer, if that's how you aim to show off The Slope to some new folks. That, and you won't be subjecting them to typical New York prices. Song is easily my favorite Thai restaurant in the area and certainly on the short list city-wide. You should go. I've just given you a shit-ton of reasons to get yourself there, after all.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.194075843; Sentiment_Subjectivity (from 0 to 1): 0.55781191 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been there for couple times already ..the food is good..service is good too..I will go back again..I like this place so much; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.266666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Eat the lamb shawarma. Eat the falafel sandwich. The only thing I can add to the discussion here is that I encourage all to buy their hot sauce ($4 a bottle i think?) and take it home. Then, next time you get halal cart, only ask for white sauce, then whip out your mamoun's hot sauce bottle and lay it on. I've never looked back.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.071428571; Sentiment_Subjectivity (from 0 to 1): 0.528571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazingly good! We made a reservation at 9, and were seated within moment of arriving at around 8:50. The hostess was gracious and efficient in that way that makes you feel at home but not fawned over in that cloying manner found in some places. Welcome to our wonderful restaurant., You have a reservation and we respected that, so here is your table. Done! The waiter was similarly attentive without being bothersome. Being from Sonoma County in CA, I am used to this sort of homey friendly service, but often in Norcal it is accompanied by a sort of over casualness that makes you feel the staff is too cool to spend time on your concerns. Not here. It is apparent that the staff's #1 priority is your experience, but not so much experience that they are in your face all the time. So, on to the food. Well. What can I say. I am a foodie from the fresh food wonderland of Sonoma..So, I live for fresh foods, simply prepared in interesting and unusual ways. That is what you get here. We had a divine octopus salad that had perfectly braised pieces of octopus together with frisee greens, tiny squares of f hard dark chorizo, and other greens and such. Interesting and delicious. We also had the Fluke crudo, which was a sort of deconstructed sashimi dish..not as amazing as the octopus, but very very good. The lamb T-bone was a relatively large serving, perfectly cooked and served with greens and little blobs of melted cheese (fondue), which, though a little weird, complimented the meat well. We shared a pumpkin Creme Brulee that went perfectly with a nice dessert Sauterne. Service- Check Cool atmosphere-Check Perfect food- Check Respectfully priced - check... I am sure to be back!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.367193963; Sentiment_Subjectivity (from 0 to 1): 0.656146384 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for lunch for a decent meal based on reviews. Service is excellent, the wait staff is friendly and the atmosphere is welcoming. Food is mediocre, had the tuna melt because I felt the burger was overpriced ($9 base with $1.50 for each topping). Beer selection was limited with standard selection. Overall a decent watering hole for a good quick drink, but better places around for food/beer selection.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155853175; Sentiment_Subjectivity (from 0 to 1): 0.548015873 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fantastic quality eatery in the Williamsburg neighborhood. Every time I visit, the food is outstanding and staff is awesome. Menu is smaller but perfected. Everything is prepared daily and fresh. I am not one to take time for reviews but this place is well deserved. Best Pulled pork sandwich I've ever had and Ive had plentyyyy of others. Check it out asap!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.457142857; Sentiment_Subjectivity (from 0 to 1): 0.582142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 serious doubts about this place even before stepping foot in it. A sports bar...in the middle of the theatre district. Being a native NY'er, I was afraid it would be wall-to-wall tourists, however I was pleasantly suprise to see it was it cool hang out, with great bartenders and some pretty good bar food. We made it in right before the happy hour rush and at one point, it was somewhat crowded. Our group kept the drinks following well into the night lol and had some appetizers as well, which were suprisingly good! I didn't even encounter nor did it seem like the place was infested with tourists. I won't be itching to come back here, just cause its your typical, run of the mill sports bar...but it's not as bad as I thought!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.226190476; Sentiment_Subjectivity (from 0 to 1): 0.602232143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hmm... I could have sworn I've reviewed this place before. The food used to be A+++ but now its more like a B. I don't know whats happened over the years. The staff is just plain terrible. They forgot our drinks and then said we didn't order any, but he took down our orders. Then 2 drinks came and they forgot the other two. Dessert, they forgot what we ordered and just didn't bring it out. I asked if they had a dessert and they said no - saw it in the fridge on the way out. This is NOT a place you bring to impress someone. Not anymore.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.198968254; Sentiment_Subjectivity (from 0 to 1): 0.504206349 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really great BBQ, especially the boneless ribs.  Reasonably priced (less than $30 bought 3 kinds of BBQ & a side, plenty for 2 people). Huge whiskey selection and good beer that you can get by the half-pint if you want to try a bunch of them.  Chock-full of hipsters, of course, but the meat is so worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.319047619; Sentiment_Subjectivity (from 0 to 1): 0.573809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can not go wrong with them. Eat all varieties to find your favorite; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.95 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Never again, I said to myself because the wait was insane. Since then, I ended up going back twice already. Sadistic? Nope, I've just figured out when to go to minimize the wait. Forget the weekends. Go on occasions when you have a free weekday. And even so, do not go before noon. Best of luck! Love: - buttermilk biscuits - sugar cured bacon - hot apple cider; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.191666667; 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: One of my foody friends sent me here and it didn't disappoint. A very average looking place in an average part of town. You just wouldn't expect the food to be so good. From what I hear they've got some sort of Iron Chef in the kitchen making magic happen one dish at a time. All I remember was the the burger and fries were incredible. I mean who orders a burger and fries at a place known for their food. Well I did,... because they are know for it. Check it out and be prepared for a nice long wait for a seat. You won't be alone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2490625; Sentiment_Subjectivity (from 0 to 1): 0.6884375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hate to break the trend but this place is my fallen angel. Four years ago, this was one of my favorite places. Chic venue, sick paella and a great place for groups. So they've moved into the base of the Excelsior hotel. The drinks are still great but unfortunately..the food has not kept to it's former self. Went with a fairly large group of couples and dates. Everything was sub par and I think "$$" is inaccurate, closer to $$$. Steaks were dry, shrimps were overcooked. My crew is a group of passionate diners, never have I seen someone take two bites of the steak and leave the rest. It's sad to see what they've become. I won't be back here.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.051388889; Sentiment_Subjectivity (from 0 to 1): 0.67797619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food; I had the chicken liver hash (that's right, I said chicken liver, and it was delicious) and my boyfriend had the frittata of the day.  Both dishes were exquisite and I was thrilled to see that my 2 fried eggs were sunnyside up and cooked to medium, just perfect.  His frittata had fresh ingredients and came with potatoes and toast, he said the bread tasted homemade.  We drove there and were able to find parking easily on the street and once entering into the restaurant, were greeted by a host/waiter who seemed as though he was born with a smile.  This same service expert waited on basically every table in the place with the same friendliness, attentiveness, and professionalism (he should get 5 stars alone).  His colleague, a female waitress seemed to act like she was bothered by having to serve us as our pleasant exchange from a genuinely friendly host to non-greeting waitress was what gave this restaurant 3 stars instead of 4 or 5.  I know that many restaurants do "shared tips" but it was obvious that the male waiter deserved every dime of tips from every table in the restaurant and if she were the only recipient of our patronage, we would have given her only a dollar.  Luckily, we thought to ask the waiter if they shared tips and when he said they did, we added much more in hopes that he would see how pleased we were with his service. We would still come back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.306181319; Sentiment_Subjectivity (from 0 to 1): 0.625412088 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know everybody loves this place. Especially the hipsters. Particularly the hipsters. They swarm about, nibbling on their artisan grilled cheeses, drinking expensive coffee, wearing hipster frames and typing the next-bestselling-but-deep-great-American-novel on their macbooks. Let's be clear: I love the hipsters. Queens Kickshaw? Not that much. This, coming from a true cheese lover at that. I just find everything here unpalatable and greasy. Overly greasy does not equate with a well-done grilled cheese. I appreciate the concept behind QK, but I just don't believe that the food lives up to the hype. Sorry guys. Next time I will come in wearing my oversized tank top and wayfarers. Hopefully my fixie doesn't get stolen.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.037878788; Sentiment_Subjectivity (from 0 to 1): 0.551515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 they were building Eataly, all I could think about is the way it feels when you meet someone on line, and you're emailing, and you feel like you have so much in common, and you keep going back to their profile to look at the picture, and then you email some more, and then you get really excited when you finally make plans to go out. (I am of course referring to dating in the days before I had a boyfriend.) Then, you finally see this guy you've been all fluttery about, and you realize that he, or in this case, Eataly, was a hell of a lot better in your mind that it actually is in person. The entire place reminded me of an old bank that had been transformed into an Italian grocery store. I bought two pastries that were very overpriced considering their size, and also considering that they both tasted like what I always imagined those manila interoffice envelopes might taste like. (Sometimes I get really hungry at work.) Even worse than the pastries was the bitter expression of the woman who waited on me. Despite everything, I would still come back and give this place another chance. I'm just not sure when.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.048529412; Sentiment_Subjectivity (from 0 to 1): 0.450816993 [/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: Love this place, would give it  5 stars but it's too loud. Food great and reasonably priced. Service is fast.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.36; Sentiment_Subjectivity (from 0 to 1): 0.67 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4.5 stars Yasuda definitely has the freshest fish out of any sushi bars in NYC that I've been to. Selection is amazing, but the downside is the pricey tab. The rice however, was kind of lackluster: dry and not as flavorful as some other places. If only they had Azabu's rice with their fish..... Edit: maybe the tab had to do with me and my friend eating almost 70 pieces of sushi before they told us we were done...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.168055556; Sentiment_Subjectivity (from 0 to 1): 0.7125 [/INST] Not Spam</s>