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syannn

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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: heads up: filipino or pilipino. NOT 'philipino.' use the term  'filipino' or 'pilipino.' use the term 'intimate' or 'cramped,' either way the food tastes good just the same.  what i also cannot decide is if i am giving props where pilipino food is sorely missed-- in manhattan. grill21 fills this absence sans bayan cafe and elvie's.   make no mistake, the interior is shiny, close quarters, and has bright colors to equip you for food frenzy of the diaspora. visited here with pilipin@s living in germany and they were itching for any fix they could find. thusly, they gorged on quintessential breakfasts-- each of us tried the longsilog (sausage w/ garlic rice and eggs), danggitsilog (crispy fish w/ garlic rice & eggs), and dasilog (milkfish w/ garlic rice & eggs). to share we had lumpiang sariwa and laing. not to mention, calamansi juice all around!  the meal was swiftly delivered as we toiled the server for more toyo or suka, some more juice in the glass please. the rice was wondrously fragrant that managed my piquant fish. i was told the longanisa was cooked too dry. the laing was especially delicious with flecks of sili or chili, thick taro leaves and rich coconut milk. however, the shrimp in the laing was a bit undercooked, therefore towing a fine line. this was disappointing, as the flavor was savory and the delivery needed to be sharper. if you are to  forego the cramped setting, keep your meal time during the day, say right after lunch. enjoy ready service and prices that rightly fit flat iron expectations.  grill 21 does not afford a queens or jersey city portions or receipt. will try lunch specials in the future and more dishes for a possible upgrade in rating. [3.5 stars, so close- but not 4 stars]; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.254676871; Sentiment_Subjectivity (from 0 to 1): 0.515986395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 crab again as i foolishly thought we would go all out on lunch specials...nope. friend had a work meeting in 2 hours and went to that meeting with cologne provided by old bay. everyone had a crab-ified pleasant face afterwords. crab special is on top of it!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.453869048; Sentiment_Subjectivity (from 0 to 1): 0.55952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: habana outpost and their delicious lemonades, their wise eco-practices, their ability for us to pine for them once spring arrives. habana incites cuban food to me, which is funny because the burrito and elotes-laden fandom is mexican fare from my midwest knowledge. with the quirky menu and the matching kitsch of the surroundings, you can catch many scene-sters and now, haggles of yuppy moms wading in the sun. on an ideal day, a great snack and comforting crowd. on a bad day, sticky humidity surrounded by upwardly-mobile customers who want a brooklyn aunthentic-feel. if your craving is right on any of these days, the corn is overpriced (in chicago this street vendor food done just as well costs $1.25) and still quite undeniably glorious.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.373571429; Sentiment_Subjectivity (from 0 to 1): 0.735238095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: cambodian? not necessarily. the hip sandwich is cost-effective, and the gentrifiliciously intended orientalization-gone-food craze is wise. we're all eating them and comparing bread loaves and pork fat. whether it's baoguette or kampuchea, you have to agree that the price points match the area and i'm down for supporting API/A local business, no shame! here num pang discloses a tasty bánh mì from a pea-sized establishment. the cashiers would rather be somewhere else. customer service was hipster aloof while the diligent magic by the kitchen operated in high gear, assembling my suggestions: coconut tiger shrimp and catfish. unlike baoguette, their bread comes less fresh by way of parisi bakery. i hoped for subtle coconut flavor & proper texture of my shrimp and to this, the flavor was appetizing. no skimping on the shrimp or catfish for that matter, good flavor profile, balanced triumvirate of mayo, sri racha and maggi sauce. the bread hollered the stand out crunch and texture it was meant to. accompanied by said sandwiches were some pickled veggies that included watermelon rind.  tart with my spicy plus crunchy texture by bread, veggies, and pickles made the surroundings more desirable than they actually are.   food atop industrial metal tray, slim seating, and lackluster climate which is meant to equal cool downward mobility for the more privileged. yeah this isn't my kind of digs.  given this, when i am near by i can't help but shimmy my way towards num pang, craving lunch all of the sudden. no, i wouldn't wait in beasty lines in wintery shivers, but i would want to.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.20021164; Sentiment_Subjectivity (from 0 to 1): 0.483121693 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: before i begin, this is what we ordered: Bacon Wrapped Dates & Olives Fritto Misto de Mare Pulled Pork Empanadas P.E.I. Mussels Crispy Brussels Sprouts Carpaccio Of Beef Wok Seared "Taglierini" of Calamari the atmosphere was busy on a thursday night and of course we had reservations, but the castle-like atmosphere is either charming or overwhelming depending on how many people are stuffed into capacity. we were pleasantly suprised to get the table closest to the fireplace. we were of no suprise, a meager sprinkling of the customers that were people of color. our server was quick, uncongenial, and not conversational. she appeared to be hasty in the on-slaught of customers and as i noticed, didn't take great care to any of the tables she served. our food arrived within 15-20 minutes and the bacon wrapped dates and olives were tasty as expected. the fritto musto was a deep fried savory that tasted fresh and the sardines were a great addition. we were delighted with the pulled pork empanadas. they were moist, succulent, and flavorful. the meat was executed and went nicely with the crunchy hearty shell. the cilantro sauce that accompanied it didn't lend much. the p.e.i. mussels in lobster harina had a grainy and earthed taste harboring a good thick broth for the supple mussel meat. this helping was plenty. our favorite was the crispy brussel sprouts! the buttery and appetizing vegetables made everyone smile the ways of winter. the calamari were executed in basic fashion and needed more acidity by way of citrus. oppositely  the carpaccio was overwrought with blood orange and not enough créme frâiche foam, though sliced with precision leaving the meat to be silky. all in all, our food experience was good and the service though expedient could have used some warmth. the ambiance in its bones is gorgeous but once stuffed with who knows how many hungry people, you begin to yell across your table to pass plates. do not expect a conversation here of intimacy unless you want your throats to be at a raucous. an earnest and deserved 3.75 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.32827381; Sentiment_Subjectivity (from 0 to 1): 0.588095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 give out stars on a whim.  No friends,  I don't fling out astronomically high ratings for any old establishment that makes a good pork belly or has long-time followers or what could be considered as ultimately deliciously authentic.  Only in few eating adventures have I lured out the reluctant 5th star. SriPraPhi would be a stellar stallwart in examples of consistently tasteful food that is well-portioned and well-priced coupled with quality service. I don't want exotifying orientalizing patrons to skip their way there as they have tried for years. hopefully the heat and spice of each dish, not to mention the anti-cool of queens, will keep the hipster factions disinterested and stuck in snubbery. we can only hope.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.195555556; Sentiment_Subjectivity (from 0 to 1): 0.521111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a great stop for a bit of GREEK yumminess!!! I emphasize the Greek because I was slightly lead to belive that this place may offer some falafel delicacies but this is a true Greek experience. The food is fresh, fantastic and a huge bargain in my book! Lunch combo was $12 and it could have been shared. The sandwiches are huge and amazing, try the Tuna. You will not be dissapointed. A winner for me ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.286111111; Sentiment_Subjectivity (from 0 to 1): 0.555555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've eaten at Snack a few times and I've always had a good meal. As others have noted, anything having to do with lamb is delicious here.   The location itself is tiny, but I've never had to wait for a table. The prices are good. Anything on the lunch menu and most of the dinner items are either well priced and/or worth it. The stuffed peppers and tomatoes did not merit a $17 price tag despite being very tasty. The service was great and the atmosphere was cozy. Definitely go here for the lunch-time lamb sandwich!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.345454545; Sentiment_Subjectivity (from 0 to 1): 0.518181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been going to Snack ever since it opened, over 8 years ago. It's teeny tiny, so odds are that you will have to wait on a bench outside for a table.  The food used to be amazing and has gotten a little unpredictable, but in general I would recommend the Avolegdomo (perfect if you have a cold), lemon chicken soup with orzo. it's tasteful and tangy.  The Spanikopitika (spinach triangles) are delicious in a flaky filo dough. Salads - go with the butter bean salad.  For entree, the shrimp with orzo is really good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163257576; Sentiment_Subjectivity (from 0 to 1): 0.727272727 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Disappointing service and food. We were told by the host the wait would be 20 minutes.  Over one hour later, we are finally seated, but waited at least 20 minutes to put in our order.  At least a half hour later we complain that we have not received our first course and are given some bread and olives. The first course arrives - Kale with white beans and trout, which was delicious. Our main courses finally arrive 45 minutes later and and flavors are lacking. Chicken parpardelle is tasteless, Cobia is overly salted and flavors are not good.  The only thing which was good was the pork chop. The restaurant graciously offered us free dessert for the inconvenience, but alas the bread pudding didn't make up for the earlier missteps. It's a shame because the restaurant is beautiful, ambience is great and music selection is pretty awesome.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.090384615; Sentiment_Subjectivity (from 0 to 1): 0.606410256 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down my favorite restaurant in new york.  It's impossible to get a reservation, but if you pop by they will take your number and you can go get a drink at Employees Only and they will call you.  In the past they have given us a glass of wine while we wait  in the elevated area and brought us meatball sliders while we sat on the benches outside.  Good for brunch and for dinner. The meatball sliders are to die for! Great atmosphere - intimate and dimly lit.  Wines are delicious and service is polite and attentive. I love how they give you your check inside an old book.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.235942761; Sentiment_Subjectivity (from 0 to 1): 0.612895623 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lovely ambience with candelabras  - sit in the back area.  Great place for a date. The ricotta gnudi special with truffle sauce was divine. We also had some type of papardelle with mushrooms and spring onions, which was flavorful, tasted like it was homemade pasta and cooked perfectly al dente. They also have a gluten free menu available on request.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.493877551; Sentiment_Subjectivity (from 0 to 1): 0.610204082 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're shopping in Soho, stop by here and grab an iced coffee. I love iced coffee and this one is really special. Otherwise, come for dinner. Grab a couple of friends and squeeze into a tiny booth. Order a bunch of things to try (particularly the fava bean dip and the hummus) and get your snack on. If you get a bottle of wine, they will serve it with water glasses. What's not to love?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304761905; Sentiment_Subjectivity (from 0 to 1): 0.520952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is one of my favorites. I first came here when I was 19 and when I went back years later, wondered if it had only seemed cool because I was 19. Not so. Dark and candle-lit, enormous beer selection, and good music. A wonderful place to chill out on the couches and talk to your friends.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.238888889; Sentiment_Subjectivity (from 0 to 1): 0.542592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Caught the fever for manchego & chorizo in Spain last week and stumbled on Despana this week. The samples are plentiful, the flavors are great. The best part? It's completely reasonable! A half pound of the stinkiest Spanish take on blue cheese is $9.00. Hard to beat that even at the grocery store.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198958333; Sentiment_Subjectivity (from 0 to 1): 0.315625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 classic brunch conundrum: salty/cheesy or sweet? Enter the Benedict Johnny. I didn't know people outside of Rhode Island understood the concept of Johnny cakes. And while these weren't really johnny cakes--more thin slices of corn muffin--the bread + the poached egg + sweet maple sausage and tomato hollandaise was really delicious. I will be back here, next time after noon on a Sunday so I can get the raspberry champagne cocktail that my friend Jane says is fantastic.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.206666667; Sentiment_Subjectivity (from 0 to 1): 0.446666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh... HAY. My neighborhood has a lot of NYU dives (e.g., Grassroots Tavern) and a lot of swankay lounges (e.g., the Vault at Pfaff's). What I have not seen until now is a supercool gastropub with a sick soundtrack, a wide beer selection, good snacks, and really interesting decor. Until Swift, a stone's throw from my apartment, came into my life. Nice to meet you! I will return.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.227142857; Sentiment_Subjectivity (from 0 to 1): 0.671428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Many a night I have ended up here after Sway. Guess what? It's the latest I've ever stayed out in NYC... Funky stuff on the walls makes for great fun after a round of dancing and a few vodka sodas across the street. The complete opposite of Sway, and, accordingly, a great and mellow counterpart.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288888889; Sentiment_Subjectivity (from 0 to 1): 0.444444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, impeccable service, loved all the tiny things between courses. Pretty decor and good drinks too. Still, I am glad we had a gift certificate and (mostly) didn't spend our own money here because it is very, very expensive and there are a lot of similarly good dinners you can get a few blocks to the south and east.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.379166667; Sentiment_Subjectivity (from 0 to 1): 0.696666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 can't do better for NYC sushi that is the freshness. This is the epitome of excellent, fresh fish that doesn't taste the least bit fishy. Elegant, clean decor. This is the place to try things you're scared to everywhere else. Bonus--if you do takeout, they give you a packet of yummy brown rice tea.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.394444444; Sentiment_Subjectivity (from 0 to 1): 0.683333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Awesome ambience - located at the end of a tiny alley and decorated lodge-style with animal heads and stuffed birds. Perfect location for a Saturday night dinner before heading out on the LES. Be sure to try the corn pudding, the artichoke dip, and whatever dessert has toffee in it. I can't remember what the dessert is called... that Tom's Tonic with Gin was a little strong...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.457638889; Sentiment_Subjectivity (from 0 to 1): 0.77037037 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lives up to the hype, and I rarely say that about anything. Edi & the Wolf is gorgeous, interesting, and the absolutely perfect place to grab dinner on a cold downtown winter night. We sat at the bar and enjoyed the flatbread and spatezle with a dry riesling. I can't wait to come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.291666667; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ok, you're right, Ms. Ellis. Worth the trip. Like spinach artichoke dip on pizza. Also, food like this doesn't count when it saves you from a miserable hangover the next day.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.017142857; Sentiment_Subjectivity (from 0 to 1): 0.427142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Craving Taqueria y Fonda and wishing we hadn't moved, we ordered Oaxaca on seamless last night and it didn't disappoint. The mole chicken was delicious and we got some chips and salsa too. Glad to have this option in the neighborhood.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.623333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Possibly the cheapest dinner I've had since I was in India last summer...eating Tibetan food. Really tasty, really cheap, and BYOB. Had the momos with veggies and the chili pepper chicken. For those who haven't had Tibetan food before, it's like a mix between Chinese and Indian, but not as heavy as either. Be sure to try the corn soup and the spicy beef dish (I think it's #41). The bread is absolutely delicious. It's a little warm in here in the summer, but really great food and worth multiple return visits.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.200892857; Sentiment_Subjectivity (from 0 to 1): 0.518253968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reasonably priced gem in a neighborhood I don't often frequent. Replete with board games and nicely priced bottles of wine, the food is great (and as noted by others, really eclectic), Heidi's is perfect for 2 but I wouldn't dare coming w/ a party bigger than that. I wouldn't have expected this place to have delicious fish tacos.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.422222222; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thanks BDLee for introducing me to Soba-ya. I can't stop thinking about how delicious this meal was! We were going to see Tove Lo play Webster Hall and in search of sustenance beforehand. A 2+ hour wait at Ippudo was not going to happen, and Upstate seemed too small to risk trying. Soba-ya came through with two seats at the bar. We ordered: black cod, shiso leaf chicken fingers, tempura sweet potato, tempura mushroom and tempura shishito peppers, and a small bowl of cold soba noodles with uni. These were the best chicken fingers I've ever had. They're tempura fried and you dip them in green tea salt. Nom. The vegetables were so good and hot I burned the roof of my mouth. The uni was fresh and yummy. Everything tasted great with a dry, unfiltered sake. Also they have heated toilet seats. In conclusion, I miss living in the East Village.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.107843137; Sentiment_Subjectivity (from 0 to 1): 0.581372549 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Kati Roll (such a creative name) is great. Had a chicken tikka kati roll here--it was very spicy (+1) with a good amount of chicken (+1) and the bread was really good, a little sweet (+1). My only gripe? I had one and I was still kind of hungry (-1). Two would have been too much. Perhaps they should merge with Taj Delhi Chaat, offer TDC's #5 Papri Chaat on their menu, and then I would share it as an appetizer and eat here on a daily basis. Side note: a high proportion of Kati Roll's customers were young and really good looking. Not sure what the deal is, but it's another (+1) for Kati Roll. My friend attributes it to a higher level of hotness the closer you get to the East Side.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.190657895; Sentiment_Subjectivity (from 0 to 1): 0.622573099 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: More classic than Death & Co., but not quite Milk & Honey. I like their infusions, and the bartenders are knowledgable and willing to talk to you about why the drinks are made the way they are. I feel like if I'd come here on a busier night, I wouldn't have liked it as much as I did. It's a cool place. I just can't see myself willing to brave the masses for it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.389583333; Sentiment_Subjectivity (from 0 to 1): 0.602083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great little place. Enjoyed the bacon peanut brittle for real, and the shrimp and grits were fantastic. I had the margarita with pineapple and jalapeno--the jalapeno was hard to taste, would've liked it a bit spicier.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288690476; Sentiment_Subjectivity (from 0 to 1): 0.641666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cafe Cluny is reliably good and has the feeling of a restaurant that's been around for a long time. It's cozy, the drinks are good (try the vodka and ginger one) and I've never had a bad entree here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.09; Sentiment_Subjectivity (from 0 to 1): 0.603333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Where to meet a friend for breakfast on a Saturday, before brunch starts rolling? Grey Dog was a perfect choice. Much bigger than the Village location, but with the same delicious zucchini muffins and good, strong iced coffee.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.44047619; Sentiment_Subjectivity (from 0 to 1): 0.579761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hard to beat the oyster deal, and the wine isn't bad either. It's very easy to eat cheap here and have a nice time on a summer night. I had oysters with a cup of soup and together couldn't have been more than $15, including wine. Dig the soundtrack, too, very neighborhood appropriate--lots of 60s rock favorites.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.181666667; Sentiment_Subjectivity (from 0 to 1): 0.672619048 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dinner last night with a good friend. We shared the platter of vegetarian appetizers, all of which were good, but I liked the radicchio and beets with pistachios best. I had the cocktail with campari and vodka, also good, and the salami was spicy and tasty. This place can be hard to get into but we ate at the bar, which worked out just fine.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.478125; Sentiment_Subjectivity (from 0 to 1): 0.501041667 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Be sure to try the coconut shrimp sandwich. I also enjoyed the pulled pork--better than sliced pork in other banh mi sandwiches, but not quite spicy enough for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.21875; Sentiment_Subjectivity (from 0 to 1): 0.615972222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious (and cheap) arepas. I ordered the special and the muchachos arepa, but couldn't finish them. The bread is great, the fillings are tasty and they are bigger than I expected. Also liked the guacamole and plantain and taro chips. All they need is a liquor license and five stars it'll be.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.436734694; Sentiment_Subjectivity (from 0 to 1): 0.674489796 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ruh-roh, Hundred Acres. You've got some competition in my heart and it's a tiny, homey East Village hideaway called Northern Spy Food Co. Sidekick J and I shared three dishes: kale salad, butternut squash risotto and runner beans. Everything was hot, delicious, buttery, fresh tasting and really just great. The blood orange seltzer was refreshing and wine was $2 off. The decor is farmhousey and cozy, with elementary-school-style chairs and benches. And then there were the caramels... Salty sweet heaven. Beer pretzel caramel. Crunchy sea salt caramel. Ricotta orange caramel. Just stop it, New York. You're spoiling me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.333636364; Sentiment_Subjectivity (from 0 to 1): 0.665454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Truly yummy. I dined at Tink's last night with friends and we tried a lot of items from the menu--pretzel chicken, quacky tots, lobster ravioli, tikka masala wings, mushroom croquettes, chocolate pig sliders, mac & queso... My favorite was the pretzel chicken and everything was really delicious. Nice priced wine list, cute touches (check comes in a children's book) and friendly service. I hope this tiny gem sticks around for a long time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1725; Sentiment_Subjectivity (from 0 to 1): 0.736666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Unqualified yes. I enjoyed a delicious meal here last night with three good friends. We had two pastas, a pizza, a bottle of wine, an appetizer, and dessert and it was only $30 a person. The aspect of Rubirosa that sealed the deal for me was the soundtrack: they played all of my favorite, favorite songs from the 50s and 60s.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.457142857; Sentiment_Subjectivity (from 0 to 1): 0.766666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Same for the food. Minetta Tavern is a special restaurant. With blinds drawn, a cozy atmosphere, and delicious food, it is worth a shot of trying to slip in, sit at the bar and try to get dinner here. The mashed potatoes.... oh wow. Half cheese, half potatoes. The Black Label Burger? Excellent. My love for burgers is not contained to NYC, and so I will not say it's the best burger I've ever had (Louis' Lunch always wins. Sorry, NYC), but it was great. Nice bread, good fries (McDonald's style, thin, crispy), well-seasoned and high quality meat. Do not skip dessert: coconut cake. Be sure to talk to any cute Australians who happen to be sitting next to you.  Minetta Tavern is the perfect location for listening to their stories. And, finally, order the Martinez. This martini is, quite simply, perfect.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.328685714; Sentiment_Subjectivity (from 0 to 1): 0.641679365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have worked my way through the midtown East healthy Seamless options--and this is the best., far and away My banana smoothie is huge and delicious & the farmer's plate (spicy) is flavorful. You can top your meal with egg whites for a couple extra dollars. This is a great way to fill up for a dinner at your desk without feeling like you want to sleep/puke on your desk.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.488888889; Sentiment_Subjectivity (from 0 to 1): 0.572222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thanks to the owners for paying attention to Yelp. I still love dinner here and may give brunch another shot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A cheap and yummy treat during a day of jury duty.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went with a friend at 10 pm on a Thursday, no line. Delicious. Best burger I've had yet in NYC. Cheap and fresh, great french fries too. Also, I adore McSorley's dark and love the price.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.48125; Sentiment_Subjectivity (from 0 to 1): 0.53125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Our waiter comes up to us, apologetically. "Excuse me? The owner..." We were (I am a nerd, I know this) having our first book club meeting, had finished our entrees, didn't want dessert, and were nerdily lingering over the rest of our wine. I had already finished the waiter's sentence in my head ("...needs this table for a party") or something like that. But no! "The owner opened a bottle of wine last night and asked me to give it away tonight, would you like it?" Um, yes? Also, the pasta was delicious (I had a spinach fettucine with lamb special) and the atmosphere lovely. A haven on St. Marks.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.35327381; Sentiment_Subjectivity (from 0 to 1): 0.461904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic, from drinks to apps to mains to desserts.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hearty comfort food. we came here for lunch last week. we had the chickpea and fennel soup, the spinach triangles, and the lamb sandwich. their portions are enormous - we were stuffed. their sage tea is a standout. the place is tiny and cute - charming simplicity. our waitress was nice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.744444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and the service were exceptional - or as it should be for this level. I came here for lunch. The Arctic char sashimi was my favorite, and my boyfriend liked the tuna burger. Their desserts were pretty good. Their Malbec was good with meat, otherwise skip it.. The ambiance was stuffy (might just be the lunch crowd, but we were sitting next to some banker and his trustafarian spawn). I would come back for the food but will probably try dinner next time.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.37962963; Sentiment_Subjectivity (from 0 to 1): 0.555555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: spicy, tasty, and humongous portions!  (they run on the islands' clock so don't be in a hurry!) i have never been to the restaurant.  a friend of our lives near here so a brunch of us gathered at his place and did takeout a couple of times.   i love the rice with beans, the orka and cod fish, and the curry veggies.  the meat eaters will enjoy jerk chicken and jerk lamb. the food is excellent!  there are a couple of caveats - be prepared to wait awhile and not everything on the menu will be there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.28; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: after a long bus ride on one of those huffington post's buses, we were ready for some good comfort food. we were joined by my old roommie who lives nearby. the mango lassi was so amazing! the relaxing space - so chill - and good food - tsel momo (veggie dumplings), tsel gyanthuk (noddle soup), and paytel beef (beef with cabbage; it was ok, not great), i almost had food coma right there. the menu is extensive with many options from tibet, nepal, and india, and it is very friendly to vegetarians.  the portions are generous.   we will come back to try other dishes.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236547619; Sentiment_Subjectivity (from 0 to 1): 0.456269841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i like their dinner; i love their brunch. i have been here a couple of times for brunch - their french toast is the top of my list.  my brunch companions like their eggs. make sure you sit inside; the service can be slow and confusing if you sit outside.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.128571429; Sentiment_Subjectivity (from 0 to 1): 0.405555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 will never come back to this place! I loved the grilled scallops and my boyfriend loved the burger. The ambiance was very zen (rustic style). However, when they included a little bookmark on tipping in America in many languages, my affinity for this place abruptly ended.  We are both Americans (from Brooklyn and Boston); we have eaten out enough to know how to tip properly. The lame bookmark was an insult to both of us.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.12875; 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: Their tapas were some of the most adventurous that I have seen in the city. Their sangria was decent because it wasn't too sweet and wasn't watered down. I would recommend going here when they have their half-price specials; otherwise it can be a bit expensive. The service was good and the ambiance was on the cool side.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.238888889; 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: We came here on a cold day for some ramen to warm us up. It did! We were sweating by the time we were done. I had a vegetarian ramen and my boyfriend had a pork broth ramen. We both liked ours. I liked the ramen noodle more than the broth because the salt/msg level was still a bit low for me. The ambiance was cool - cute and cramped. The waiters and the cooks were attentive. Overall, I like this place and would definitely come back because it has a good combination of yummy ramen and great service.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.328571429; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i had one of my most fun and interesting dining experiences here for the usual reasons - wine, food, french people, and very nice bathrooms. the food and wine menus were well thought out. the decor and the atmosphere were perfect for a very nice and fancy dinner with out-of-town friends. it's pricey! we loved the sunchoke soup, the trout, the duck, the wine, and the desserts. they were worth the splurge. their impressive bathrooms with their aromatic soaps were a source of many laughs for our french companions and, by extension, us. it's a great place to entertain guests!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.521785714; Sentiment_Subjectivity (from 0 to 1): 0.542857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 vegetable dumplings in soup or on their own are good and cheap. it's a great place for vegetarians on a budget! the service can good or bad depending on whether they have had a long day or not.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.378571429; Sentiment_Subjectivity (from 0 to 1): 0.673809524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 totally over-rated. we came back to my old neighborhood to try this place.  it was a totally disappointment.  the food was bland. there are better thai places through out the boroughs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.027777778; Sentiment_Subjectivity (from 0 to 1): 0.447222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 our staple brunch place near midwood.   we have been here a few times.  we love the walk - it's a sight seeing tour of victorian houses.  the food is always good.  i love the fisherman's eggs; the french toast is good.  my boyfriend has tried several egg and meat dishes and likes them all.  the service is always a hit even when they are busy. i will be here on nice days.  the back yard is cute and lovely - a great place for brunch on a sunny afternoon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.342857143; Sentiment_Subjectivity (from 0 to 1): 0.478571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: we came here for brunch. it was busy and we had to wait a little. the waitress was nice and she kept us updated. we had the leek and goat cheese crepe and the french toast. the french toast person thought it was really good. both dishes were good, but they lacked the wow factor. the service was ok but at times scattered. they forgot to bring the coffee then forgot to bring the milk. everything else was on mark. the decor was low-key and calm.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.28125; 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: A very pleasant surprise. $19 buys you a delicious Braised Lamb Stifado (the meat literally falls off the bone) - served with a sweet, fruity rice pilaf and tzatziki. The saganaki appetizer is a winner as well; while I'm naturally inclined towards fried cheese, I found that this imagination of the Greek Classic straddled the fine line between being too greasy and being undercooked. The space is crowded and small, but for a quick, cheap bite - it shouldn't really matter. The service exceeds expectations.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.333636364; Sentiment_Subjectivity (from 0 to 1): 0.501515152 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An all-around, enjoyable meal experience: solid food, excellent service, and a decently priced wine list. Unsurprisingly, Maialino is over-subscribed - add one part Gramercy Park Hotel to one part Danny Meyer, and you have a near impossible reservation. I had to log in 28 days in advance, first thing in the morning to lock this one down. That all said, the meal turned out to be a winner. Service was the high-point. In typically Danny Meyer style, we were made to feel completely taken care of and comfortable. Never had to try and get the attention of the waitstaff because they were always around. Very helpful with the winelist, and helped select a very good, reasonably priced choice. I started with the egg yolk filled ravioli, ($13) which was the highlight of the meal for me. A delicious combination of saltiness, cheesiness, and richness (as you'd expect, the soft yolk oozes out after being cut). Portion could have been larger (only one ravioli!), but in any case, this is most certainly an appetizer, not a main. I was able to snag a sweetbread from my dining companion, which was very good as well. Nothing special about the preparation (five sweatbreads over a simple salad), but they were cooked excellently. My main - the lamb neck ($22) - was alright. The meat was tender and the gravy was tasty, but I was a little surprised by the portion (again, quite small) and the lack of adornment on the plate (a few small potato and vegetable garnishes). The meat itself was good enough for about 8-10 smaller bites and was quite fatty; I feel like I could have eaten at least two of the servings they gave me. Dessert was good - and - we were given a free third selection by the waitress. My favorites were the tartufo (chocolate chip coating on rich chocolate ice cream) and the Sformato (aka Panna Cotta). All in all, the experience was solid. I'm not likely to brace the lines and head back anytime soon, but for others, it's definitely worth a check-out. Might be an idea to try the bar area if you're not able to get a reservation? It was not super-crowded in the front on Monday night.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.16333416; Sentiment_Subjectivity (from 0 to 1): 0.518032407 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nothing special - but when you're looking for a casual, non-fast food meal or have a craving for "refined" comfort food, a solid choice that likely won't disappoint. The food is good, albeit not terribly inventive: favorites include a Roasted Tomato and Cheddar Soup (rich and cheesy), Hot Potato Chips with Blue Cheese Fondue (as good as it sounds), and the Roasted Cod. Some items disappointed - most notably, the Crawfish Hush Puppies were less flavorful than I would have hoped (they came out blindly greasy) and the Charbroiled Chicken could have been less dry/more juicy. For those sticking around for sweets, note that the desserts are almost entirely composed of Ice Cream Sundaes - with some combinations (Bread Pudding, Birthday Cake) seeming quite clever. Service was good but unspectacular: drinks took a little bit longer to come than I would have hoped, but certainly par for the course. Speaking of which, there's a pretty good selection of beers here. Not a bad choice for a quick snack and drink at the bar.  The Sunday Night Meal Deal (Burger and Beer for $14) is a steal.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.091688713; Sentiment_Subjectivity (from 0 to 1): 0.623500882 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best sushi in New York after Masa. Sit at the sushi bar and let Yasuda, or one of the many chefs behind the counter guide you through some of the best omakase that I have ever eaten. What's more is that the prices aren't ridiculous - $4-7 for the typical piece, which means you'll end up spending ~$100 on a good meal, as opposed to well north of that at comparable restaurants. Big, glass windows welcome into a sleek, wood-panelled eatery, with a long traditional looking bar at the center. Here, for a strict 90 minutes (reservations are for an hour and a half only), you'll experience some tremendous food. Tuna is one of the specialties (ask for a "flight" and you won't be disappointed). Other sushi highlights include the Uni, the Hamachi, the Kenmedai, and the Big-Eye. This all said, Yasuda will highlight the "best of the day" fish on the menu with red circles: follow his advice and you'll have the best possible experience. In terms of appetizers, the friend soft-shell crab is incredible. Not oily or greasy but perfectly crispy and sweet. You'll be best served, however, sticking to the sushi - the undisputed king of this menu. Mochi ice cream is a delightful way to close the meal (with Green Tea being especially good). Just make sure you're staying within your 90 minute time slot or you won't be allowed to order! Sake list is sufficiently extensive and well-priced. The carafes are ornate and beautiful. You'll go through at least a couple, I'm sure - as you naviate through the extensive sushi menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.322306397; Sentiment_Subjectivity (from 0 to 1): 0.583073793 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 oysters and fantastic cookies. Marlow and Sons opens every morning with a "take-out" breakfast service, and stays open through dinner, where typical "waiter-service" becomes the norm. Throughout the day, the menu changes according to the hour - scones and biscuits and replaced by breakfast sanwiches, which are replaced by pizza and lunch bites, which are replaced by a full menu of salads, soups, and mains at night. Highlights include the cookies (available all day - try the chocolate chip with fleur de sel), the pizza (a delicious fennel and onion varietal), and the oysters (the main draw of the restaurant - several options, spanning both coasts, are available nightly). I've had good salads here - crisp, fresh vegetables and a rich shaved manchego as well as a surprisingly good buttermilk fried chicken sandwich. In addition to prepared meals, Marlow & Sons also offers a variety of gourmet grocery items including beverages, sweets, and produce. Absent a proliferance of Williamsburg food stores, Marlow was a recurring part of my residential experience in BK.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304411765; Sentiment_Subjectivity (from 0 to 1): 0.538235294 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 throughly wonderful meal - delicious food and fantastic service. The space is beautiful (perfect lighting, not too crowded, interesting design), but the cuisine is the highlight here. Scott Conant's Spaghetti with Tomato and Basil was as good as advertised: it certainly was "one of the best pasta dishes" I have ever eaten. A Creamy Polenta with truffled mushrooms was incredible - the Polenta and "fricassed" mushrooms being served seperately, so that the diner can pick his or her perfect ratio. A market salad came out as a beautiful heaping plate of greens. The Banana Budino for dessert was warm, creamy, and rich. Even the bread was a fantastic mixture of crusty and soft. Pricing won't break the bank, but Scarpetta is not cheap (read: mid-$20 for the Spaghetti, and high-teens for the appetizers); for Secondi, expect $30+. In terms of wine, a good selection of mostly Italian bottles and glasses to choose from. NB: the prices border on the expensive side (especially by the glass), so be forewarned if you are looking to drink. Scarpetta is absolutely worth a visit. Up there in my mind with Babbo, and the Michael White Empire (Marea, Alto, Convivio) as the top Italian in NYC.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.467571429; Sentiment_Subjectivity (from 0 to 1): 0.638857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best falafel and shawarma in NYC - $5 and under to boot! Walk in, order your choice of sanwich on the menu, and within 3 minutes you'll find yourself at the bar or on the sidewalk, absolutely devouring your meal (only taking a short break to pant from the excessive amount of hot sauce you dumped on). Seriously, you are not going to go wrong with this place. And, it's open late night too. For those (like me) who love the hot sauce, you can purchase bottles directly from the restaurant and take them home. That said, the Middle Eastern is never quite as good coming from my kitchen...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.107777778; Sentiment_Subjectivity (from 0 to 1): 0.631111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fun, cheap, and tasty. El Cocotero has an extensive Venezuelan menu that features at least a dozen types of arepas (stuffed corn pockets with meat, cheese, and/or vegetable fillings). So far, I've tried the Pabellon (Shredded Flank Steak with cheese, black beans, and plaintains) and the Pollo Mechado (shredded stewed chicken): both were wonderful - especially with a little bit of hot sauce on top (adding a spicy and vinegary element to the mix). The tasty, hands-on food is paced by Latin and South American beats (read: Shakira). A great selection of juices complement the food menu, as well as wine, sangria and beer for those who are so inclined. Service was good; our waitress checked in with us soon after arriving, and made sure that we had everything we needed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205989583; Sentiment_Subjectivity (from 0 to 1): 0.631597222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Near the top of the list when it comes to pizza in NYC. Thin, blistered crust (courtesy of a combo wood/coal oven), fresh (and slightly sweet) San Marzano sauce, creamy Mozzarella. Two things to note about the dough: it's rolled ultra-thin (still chewy and significant, but thin relative to competing spots) and has sugar mixed in (creating an almost imperceptible sweetness in taste). For those looking to fill out a meal with appetizers - the Bruschetta came quickly and was huge: topped by a mountain of chopped tomatoes. Uniformally impressed by the quality of the pies; even more impressed by Luzzo's ability to accept reservations for large groups on short notice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.239565826; Sentiment_Subjectivity (from 0 to 1): 0.570798319 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 man who eeriely resembled Phillip Seymour Hoffman opened the door for me as I entered - perhaps a non-sequitur, but the backwards craning of my neck and inevitable snap back to full attention made my first impression of the chic, boothy, delightfully old-school dining room seem all the more dramatic. This was Minetta Taven. And truth be told, I had a very good meal here. Excellent service (we had a theater reservation later in the evening, and were working on a tighter than usual dining timeline), tasty (if not terribly inventive) food, fun "clubby" atmosphere. The space and exclusivity of Minetta Tavern seem to be the main draws - the dining room is finished beautifully, and everyone in NYC seems to want a table here - but the food more than stands on it's own. Frank Bruni of the NY Times loved the steak during his visits here, calling it the "best Steakhouse in the city"; I'd take a step back - my Bone-In NY Strip was well-charred, prepared, and spiced, but I didn't feel that it was revelationary. The Pommes Anna, however, were: crispy, thinly sliced, baked "Scalloped" Potatoes (finished with Duck Fat) that were perfect the entire way through. The Black Label Burger - written about ad absurdum - was delicious: tangy, rich, and beefy. A Pasta Za Za (prepared without pancetta for my vegeterian girlfriend) was described as well-cooked and surprisingly light (despite a hearty inclusion of cream and cheese). I found the appetizers to be less exciting, and was disappointed by the Stuffed Squid (recommended by our waitress); salads were generally enjoyed, but were not stand-outs. But looking-back: Minetta Tavern was fun and rock solid. Yes, a little bit disappointing relative to expectations, but when they're set at such a stratospheric level, you walk in the door knowing that you won't be completely surprised or wow-ed. I am looking forward to returning.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2149375; Sentiment_Subjectivity (from 0 to 1): 0.590541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So went to this place with my colleagues, it is small and cozy and the service is good. Unfortunately the Vegetarian Souvlaki I ordered was sub par, it was missing flavor, did not have the variety of vegetables that I am used to at other places which serve souvlaki and in all honesty was small compared to other places. I definitely will not be going here again but my colleagues did say the lamb sandwiches were good.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.025; Sentiment_Subjectivity (from 0 to 1): 0.505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 possibly the best Italian place in NYC. I have been there twice now and both times the food was great. It also helps that they do not charge you a s*** load of money. The service is great, the bread is delicious but the seating is limited so make it to go. I am looking forward to going here again soon.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.504081633; Sentiment_Subjectivity (from 0 to 1): 0.563265306 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They told that they don't deliver to the NoHo. I was crying to the phone. Because the AVGOLEMONO SOUP and the LAMB SANDWICH are dying the best food after a crazy night. And a lemonade... Can I become a permanent Saturday morning customer?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.066666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: THE GREEK TRICK My biyfriend and I love hunting for the best grilled octopuses in ny. Afterv the whole day on a party we were starving to have two of them. I yelp "Grilled octopus in ny" In top 5 I see the Pylos. 25 people marked octopus as a best in the city. We are going. Pita Bread was very hot and delicious. Thanks. Then we got our welcome octopuses. SMALLEST PORTION EVER Two tiny arms with sweet balsamic vinegar... for $14?!  It's a robbery dear Pylos. I better get 8 grilled calamari for $12 in Taverna Kyclades than that Manhattan greek trick.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4375; Sentiment_Subjectivity (from 0 to 1): 0.496666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: goooood: 1. Sea bass!!!!!! Must try! 2. Walk in 3. Decoration - feels like a big celebration tonight 4. Italian red wine 1997... 5. Robert Kushner's fruits and veggies on the walls boooooooring: 1. Pricy 2. Don't be surprised if you meet your grandma at the next table 3. No music 4. Among the 20 waiters and 10 managers nobody had a charger for an iphone?! I would like to take my parents to this place next time!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.087893677; Sentiment_Subjectivity (from 0 to 1): 0.214285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well well well... Din't go to Gato if you are really hungry. I enjoyed my Lahmeh Bi Ajeen at the lebanese pop-up shop later. Back to the Gato. New. Super busy. Crowd is pretty boring (midtown meets financial district). Little piece of octopus for $17? Rip off! Bar set for $17 Eggplant appetizer tasted very good and comfy Mushrooms which everybody rave about are very hearty and ricotta is super smooth Clams salad has a nice citrus touch Note - portions are table spoon size - only 2 girls on a strict diet would love to share them. That's good that we didn't get to the entree. How else would I enjoy my beef lahmeh from the Lebanese shop after?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.216432765; Sentiment_Subjectivity (from 0 to 1): 0.538393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wouldn't recommend to go for a good fish to the Fish. One hour waiting. Excellent Kumomotos Overcooked (almost fried(( red snapper. Sent it back. Tough scallops. At least I could eat them. Crab cake was delicious but with too much mayonnaise. Too much salt and butter. Next time i will have just kumomotos and a reservation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.241111111; Sentiment_Subjectivity (from 0 to 1): 0.423333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was an invitation from the guy who lived in the Lebanon. We came here like 11 people. Table was huge and round. I'v never tried such a good Tubule, Hummus and Eggplants before. Probably, the best middle east cousin in the city. I didn't try a meat, becouse I'm vegan, but guys really liked it. Aniseed liquor Arak was very good! You mix it with water, shake it a little bit and toss off this heating milky-white drink. Must to go!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.362847222; Sentiment_Subjectivity (from 0 to 1): 0.531111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 favorite restaurant hands down! My friends and I have been coming here for over 5 years. Im kinda obsessed with the avgolemono and will get 2 bowls. Love those crunchy breads. The mint lemonade is perfect in the summer.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261111111; Sentiment_Subjectivity (from 0 to 1): 0.777777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ive come in with friends and alone and have had great meals each time. Ive had the pepperoni and classic pizzas and they are so good. That 50 yr old thin crust recipe is awesome. The bartenders really know their stuff when it comes to making fancy drinks. Theyve also got some great zeppoles for dessert. I wish i was having some right now. Near little italy and soho but without the corniness of little italy or crowds of soho. They also play really good rock and roll music.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.313644689; Sentiment_Subjectivity (from 0 to 1): 0.542490842 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wandered soho one luncheon afternoon... a co-worker and I couldn't decide what we were in the mood for...until we bumped into Snack.  Considerable good reviews thanks to yelp...so we decided it's a must try.   Everything we ordered was pleasantly tasty.  My chicken sandwich was pretty kick ass, considering I do not like hard, cold bread.  (actually, minus the bread, I'm going to ask for pita next time)... My co-worker got a beet salad and a spinach pie.  Both phenomenal choices.  I love Mediterranean food with all of its thick hearty sauces, olives and olive oil.  YUMMY.  Needless to say, I think its sister restaurant "Snack Taverna" will be just as spectacular.  I am ready for a good meal anytime.   Forewarning, it's so TINY, it's unforgettable.  5 tables, squished together.  When you've got people waiting for tables to free up, yeah, it makes you just a little bit uncomfortable. OH, and if you haven't already recognized the brand, (I sure hell's didn't), their mediterranean dips & spreads are all over NYC and MA. Double yum to hummus!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.129340278; Sentiment_Subjectivity (from 0 to 1): 0.628009259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 review is strictly brunch only.  this place is on the money..and with 1 michelin star under their belt, it's not hard to understand why. once i stepped into the restaurant, i immediately fell in love.  The wall was filled with Cortland apples... the scent of sweetness permeated the air...and then right there, i knew i was in for one special treat. we opted for the five course tasting menu.... amuse bouche - watermelon soup Big Eye Tuna - Green Apple, Bergamot, Osetra Caviar Porcini Flan - Alaska Live Dungeness Crab, Black Truffle Dashi Slow Braised Kobe Style Beef Cheeks - Blue Kale Gnocchi Caramelized Anjou Pear w/ Valrhona Chocolate, Biscuit Breton, Hot Toffee Sauce Lemon Verbena and Tahitian Vanilla Ice Cream everything was delicious, beautifully presented and my favorite part???  The bread man. YES, the bread man.  This guy had a cart filled with different kinds of bread... i couldn't decide, so i picked three different kinds.  AND because it was my birthday, he wrapped up a whole loaf of bread for me, to go.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.217919372; Sentiment_Subjectivity (from 0 to 1): 0.616607143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: big fan of root & bone.  not a fan of the 60-90-120 min wait.  big fan of Top Chef and its alums Jeff McInnis & Janine Booth.  not a fan of it's loudness but hey, that's what gives it the charm perfectly situated in Alphabet city.   while the claim to fame is their fried chicken (we got a whole bird for a party of three!), i was blown away by their apps/side dishes.  To start, their biscuits are warm and inviting.  The crab waldorf was good, but a bit messy to eat.  The peach caprese salad was sweet, salty and crisp with a touch of smokiness.  The grilled corn (done a few diferent ways) was quite playful.   The best is their cheddar waffles served with whiskey syrup.  Truly unique and delectable and worth every bit of its calories.  Wash it all down with their not-to-be-missed cocktails.  You have to order a cocktail here, no exceptions.   Needless to say, we should have ordered half a bird with everything else we ordered. It was quite the treat to see Janine working that evening as she stopped by to drop off our whole bird.  We got the chance to speak briefly and warmly gave our kudos to the team and the delicious food we were eating.   waiting for the hype to die down (in essence aiming for a shorter line)...but i def can't wait til' it gets cooler so i can go back & chow down!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.198111111; Sentiment_Subjectivity (from 0 to 1): 0.463333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on my checklist forever...and just a few months ago, i am able to check this off my list.... finally. gotta say, i was sorely disappointed.  it's a beautiful restaurant and we opted to eat and drink at the bar.  my favorite way to eat.  we had a few appetizers (artichokes and sweet breads w/ prosciutto....) and a few pasta dishes (including garganelli with tripe & olives & spaghetti alla chitarra)...for a restaurant that is supposed to be big on Italian....pasta is obviously not their specialty.  for the love of god, i love sweet breads & TRIPE! but everything was a lick of salt...not sure if the truck just dumped a lot of salt but it should have scooped some out man.  WAY TOO F*ING SALTY. and that ladies & gentlemen is the real reason why my experienced was a bit ruined.  i'm sorry to be so dramatic, but any heavy dose of salt has completely killed any chances of me ever wanting to go back.  it's a shame because it is a lovely restaurant, great ambiance and killer selection of wine.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.156423611; Sentiment_Subjectivity (from 0 to 1): 0.56099537 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jean George you outdid yourself.  Beautiful restaurant with a farmer's market in mind.  The concept? the restaurant has its joint venture with ABC carpet & home focus on locally sourced, organic food from farm to table.  Vigorously exciting and the taste is in the freshness from farm to table.  What a great way to support the locals.   in terms of decor, the restaurant is a bit gaudy but irresistible, incandescent as the entirety of the restaurant whole place looks like winter wonderland.   the prix fixe lunch looked suitable enough... so we started with beets made with homemade yogurt.  the yogurt and beet was a pleasant surprise together.  sweet, tart, full bodied.. it had a lot of depth and interesting flavors to it.  definitely one of my favorite foods of all time to eat.  simple, classic, goodness.   main entree was the fragrant and personal margherita pizza.  thin crust, a bit heavy on the sauce, cheese was plentiful.  i was a fan of my friend's entree... she went with the port mushroom sandwich.  the cheese gave it a lovely texture... I enjoyed it more than the pizza.   i finished with a concord grape tarte... too crusty and dry for my liking, but the grape filling was lusciously plump with just enough sweetness...the crust just needed to be a bit thinner and perhaps softer.  solid finish though with some leftover crust.   there are too many options on the menu, i definitely want to come back and try their other varieties.... would love to come back for brunch and dinner as well.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.231451613; Sentiment_Subjectivity (from 0 to 1): 0.51609063 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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**** it's not like i walked into pylos intending to loathe the place.   i liked pylos but content like a loner in ny, i didn't fall in love at first sight.  the restaurant itself was not bad at all... i think after seeing such a blown out review, i came in with much higher expectations.   the technique and presentation was undoubtedly sophisticated.  what lacked the extra star was the overall taste.  simple, but lacking depth and robustness.  we started off with appetizers and a trio of dips.  the fish roe was my favorite.  light, fluffy, salty with a touch of zing.  tzatziki was slightly too thick and just needed a tad more dill.  The eggplant dip was chunky with a nice smoked flavor. Flavors were more on the untraditional side than what I am used to, but the appetizers were still great start offs.  The fried zucchini and eggplant was a no-brainer.  It was easy on the batter that complemented the rich thickness of the tzatziki.  the pita bread was nice & warm, but I prefer my pita whole, not cut up.  I've definitely had better and fresher...but still pita is only good when it's nice & toasty.   for the main entree.. i was deciding b/t the braised lamb shank or the grilled lamb chops. i opted for the baby chops and while I enjoyed it.. i enjoyed the shank exponentially more.  I have a tendency to enjoy a piece of meat braised over grilled anytime, but I love lamb chops if they are cooked perfectly.  The chops could have been a bit more rare and the marinade was definitely missing some robustness.  I would have liked some peppery herbal notes like paprika.  Minor complaints that definitely didn't break the fine line of my affinity for Greek food.  I still enjoyed it otherwise.... Greek wine is.... well Greek wine.  It's definitely not my top tiered choices for red wine, but it was OK.  not too shabby. lovely decor.. unfortunately i had a reservation for a party of 8 and sadly enough, we waited almost an hour.  this was pretty unacceptable in my eyes.  This had definitely set the tone for the entire evening.  Though the food is good, I'm not sure how quickly I will be running back here. i guess i'm quite the oddball and not the usual instance raving and ranting about this place. believe me.. i so wanted to.  i believe in second tries... but don't expect me to fall in love so easily!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.251515152; Sentiment_Subjectivity (from 0 to 1): 0.54488937 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Five Points owners Marc Meyer, Vicki Freeman and Chris Paraskevaides i really wanted to like this place... but everything from the wait to the food was a fail.  after waiting OVER an hour...we managed to score seats at the bar.  Bartender was super nice.. but that's not enough for me to warrant a return here.   the crowd was insane. it was a rainy sunday afternoon with the entry time of around 2pm.  You would think it wouldn't be so busy... WRONG.  there was so many people waiting that when the crowd finally died down, that we were able to get seats by the bar.   Dying from starvation, we immediately ordered... scrambled eggs with salmon and french toast.  i was expecting something else really.  the eggs were a bit too wet for me...and i was expecting a dollop of creme fraiche on top....no, it was already mixed in with the eggs, which made it taste a little sour for me.  biscuits were borderline too crusty... and salmon was too salty.  A complete miss for me. French toast wasn't too bad.  Anywhere where mascarpone involved is usually good.  Not good enough for me to come back. Sorry cookshop.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.034989316; Sentiment_Subjectivity (from 0 to 1): 0.480662393 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Top Chef Leah Cohen partners up with the Fatty Crew... and opens up this hipster, very appropriate LES restaurant that flairs Asian Fusion, predominantly Thai with Filipino influences.  It's a great spot if you want to kick back and have a few fun cocktails and try some interesting, spicy & sizzling dishes.  Khao literally means "rice" in Thai, but the naming convention has a fun play on animals.   The restaurant itself is probably 90% meat.  BE prepared.  We shared the quail adobo, sisig & noodles with red curry & chicken.   All pretty good choices... the sisig had some heat to it...that made it unbearable for my friend... i loved it....  the noodles were VERY good... something I can see myself eating again.  had a bit of sweet, spicy, crunchy... lots of textures, and the chicken was super tender, as were the noodles, which were so delicate.   my least favorite was probably the quail.  it was crispy, but a tad bit on the bland side.  i've had better...but since I love quail, i generally never say no and am usually able to finish it. i pointed to what looked like a coconut cocktail conconction in its own shell.....  i found out AFTER the fact that I have already ordered...that the coconut juice was mixed with sherry & whiskey barrel bitters.... not bad.  could have been stronger, but it was still really fun to drink out of. pig & khao's got great potential.  especially in the little hip side of the neighborhood they call Lower East Side.  There are so many more items on the menu that is a must try for next time.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.223355856; Sentiment_Subjectivity (from 0 to 1): 0.56545045 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 best thing that could happen to hell's kitchen.  much needed high quality coffee shop.  really. amazing coffee (they use counter culture beans). for those that prefer non-dairy, they have almond milk here.  the staff is warm and friendly.  their pastries are also amazing and they bake everything on the premise.  My favorite is the ham & cheese croissant.  Their blueberry muffins are great too.... They serve sandwiches here as well (think Cubans) but haven't had a chance to try it out yet. goodbye starbucks!  I am a regular now.. love love love.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.502692308; Sentiment_Subjectivity (from 0 to 1): 0.582071006 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Traditional elegance, and "hotness", literally.  Located in the basement of a desolate building, the place was like a sauna walking in.  I walked a block or so, before realizing I had passed the place.  It's kind of a little hidden treasure.  Remarkable for sure.   Onto the food!!  I wouldn't recommend this place for sushi, but more izakaya or tapas style, not really traditional izakaya, but authentic nonetheless.  Did I confuse you already?  Whether in small groups or big, this place is a must for ordering a few different dishes and sharing them.  Hot, cold, raw, cooked dishes... there is a great variety to choose from. From what I can remember, we got the fluke sashimi, tofu salad, uzaku "eel", tuna tartare (atop with caviar), grilled japanese eggplant and onigiri and buta kakuni.  My least favorite was the onigiri, it was uninspiring and straight up boring.  Highlights were the fluke sashimi, eggplant (eggyork being the best flavored sauce, sweet red being my least) and tuna tartare and their black sesame creme brulee is absolutely amazing.  (Partial to this, because frankly, anything black sesame is pretty amazing) They have an overwhelming listing of sake as well.  I mean, it was pretty unbearable.  We had our waiter pick out 3 different types of suggestion, the next carafe better than the previous.   Overall, this place is nearly flawless.  The onigiri ruined it...and though I loved the tuna tartare, I think the caviar could have been fresher (hence tasted better than what I sampled).  I've had a million versions of tuna tartare in my days (yeah I'm that old) and this definitely was not my favorite.  Still, I "love" this place and I will be back for sure.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.17517988; Sentiment_Subjectivity (from 0 to 1): 0.570275161 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 on a saturday night...and the wait is as long at ippudo.... ONE hour long wait.... when we nearly sat down, they had closed off their list.   i was disappointed in one respect...the noodles were a bit on the thick side and a little starchy....this place does not reign supreme over ippudo.  the broth is much lighter because it's made with chicken...and has it's own distinct flavoring.  i do like the spiciness... and got it extra hot.  (they basically give you hot sauce on the side so you can add as much as you want).  on the flip side, i do like their char siu pork, torched on top.   after waiting an hour, i definitely sucked up the bowl of noodles (but not all of it!)....and soup.  What can I say, i was hungry. it was definitely worth the price....but for $5 more...i can get the best.  good experience, but i don't think i'll be coming back here.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.133664021; Sentiment_Subjectivity (from 0 to 1): 0.419708995 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: holy crappers.  i usually don't write reviews on places that a bajillion people have written about...but this place is so noteworthy...and I have yet to see any place with THIS many reviews....i MUST add my two cents!! Especially, me being the starch lover that i am.... for those that have NOT yet ranted and raved about this place, shame on you.  I'm a late bloomer, considering how frequently i visit NY...and this place is possibly the nation's best french fries and sauce ever.  With a name like pommes frites, I have tried nothing like the kind in Europe, hence limiting the vicinity very carefully. My choice of sauce was roasted garlic mayo, hands down phenomenal.  Can't wait to try the others (the mango & rosemary mayo looked delectable)....not usually a sweet dipping fan (unless it's sweet & sour????), but i'll try anything once.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.179712963; Sentiment_Subjectivity (from 0 to 1): 0.535925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 that it is a 5 minute walk from my apt! I love that they text you 10 minutes when your table is ready. it is 5 seats smaller than the east village space...but i love it... esp. the secret doors that seem to blend in with the wall. there is about 4 ramen choices here....and it is still good.  I am sad that they modified the karaka miso ramen....there isn't that ball of ginger goodness anymore...only a ball of spice.   it is still my favorite in nyc by far....; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.259090909; Sentiment_Subjectivity (from 0 to 1): 0.736363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 madhouse.... that's why you go on a monday afternoon while the rest of the world is working.  to ... you know.. avoid the madness.  how much are you in the mood for breakfast on the weekends?  brunch is prevalent in nyc... but not so great when you're standing, waiting an hour plus, hot, hungover... mmm...... the infamous blueberry pancakes is the hype about this place...the buzz on the street as you walk and smell the sweet aroma of baked goods upon entering this big shiny gemstone.  or one could imagine.   the pancakes were indeed awesome.  not euphoric feeling, but satiated with a bit of guilt afterwards....but it's a once in a while treat, so guilt is quickly diminished by sheer pleasure in stuffing my face.  so what made the pancakes so great?  It really wasn't so much the actual batter.. though it was three, medium sized pancakes.. not too fluffy (which i normally like) but not too heavy or cakey.. consistency was just about right.   it was the generous amount of blueberries in the pancakes and a blueberry compote on top (i LOVE blueberries, else wise, i won't eat plain pancakes) and that wonderful maple butter syrup.  Never tasted anything like it...it's sweet and buttery at the same time.  Succinctly divine. The sugar cured bacon was just fine.. i liked the crispiness...but i was on a sugar high already and i felt my arteries  being threatened and clotted with every bite.  if you can handle that much sugar... go for it.. otherwise, i thought it was just too damn much.  perhaps it would have paired well with a poached eggs benedict better.  OH well.  now we know....and i'm sharing that momentous fact with you all. sugar + sugar cured in pure fat = super crazy high.  Handle at your own risk.   i'd love to come back here for dinner sometime... maybe at odd hours. i hate nyc when it's crowded especially on the weekends.  takes away all my glory to enjoying a lazy afternoon of doing nothin'.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.21600907; Sentiment_Subjectivity (from 0 to 1): 0.5705839 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: quite spacious, cute set up...wooden decor galore.  in the summer time,  you are able to sit outside, as they have massive space apart from the sidewalk without the cars and smoke to cramp up your style. This is super important for me when eating at any "outdoor" establishment.   went here for brunch on a lovely Saturday afternoon.  it was quite empty, so maybe we were there just a little too early.  J and I decided to split the banana french toast.  yes, it was a slice of banana bread with fruits and caramelized walnuts on top.  with mascarpone cheese on top.  definitely a bit sweet for my taste and very rich... i liked the mascarpone cream cheese though. it toned down the sweetness. would def come back to check out their dinner menu.  this place is a casual outing and location is pretty convenient and easy to get to!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.209974747; Sentiment_Subjectivity (from 0 to 1): 0.60479798 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: yeah... not much to be said that already hasn't been said.... this place is pretty much flawless.  Except the bartender that broke a bottle of WHAT?! lol..oh good, it wasn't our bottle of rose..... while, i did not dine the full tasting menu here... a gf and i just rolled up to sit at the tavern bar for some drinks and light appetizers.  a whole bottle of rose, some sweetbreads, grilled octopus AND a rhubarb bread pudding dessert later.... we were full.  the food was fantastic, as was the attentive service.  i love the casual "tavern" dining atmosphere that separates the actual fine dining room.     if this is just the amuse bouche to their tasting menu...then i am more than delighted and amp'ed to come back, tavern or the main dining room.  though i am wondering if there is any difference in terms of quality & taste b/t the two?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.33015873; Sentiment_Subjectivity (from 0 to 1): 0.585714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 for drinks and dessert and the place did not disappoint.  the menu itself has freshly prepared seafood bites.  (think crab toast and delicately sliced raw fish).   drinks and dessert were spot on...and the service was lovely.  It's definitely a cozy environment, one where we can't wait to go back to!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.011538462; Sentiment_Subjectivity (from 0 to 1): 0.56025641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One word comes to mind about Boqueria.  Flair.  Yes... Boqueria's got lots of flair.  it's quaint without being pretentious.  In fact, it has no intent to become pretentious, ever.  it's a nicely sized space... sleek & decorative... no gaudiness.  gotta love it.  bar seats, table seats for any occasion.  wherever you want to sit at your own leisure.  we have been kind enough to merit great food and customer service.  the hosts and waiters are all super nice. my personal faves on the menu:   potato bravos (classic), pimientos (shisito peppers), squid tossed with some greens, bacon wrapped in dates stuffed with blue cheese, lamb meatballs and the seafood paella!!!!!   go easy on the potato bravos.  it's too easy to stuff yourself here when everything is deliciosos.  sangrias here are not half bad.  I've definitely had better, but pairs well with their tapas.  lots to choose from whether you're in a full bodied or light & spritz mood.   this place is fun for dates and especially large groups, but it can be quite loud.  so keep that factor in mind.  for parties of 6, the restaurant requires a $40 pri-fixe for the whole table.  It's a bargain, considering I have always left content.   walk ins only!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.226984127; Sentiment_Subjectivity (from 0 to 1): 0.607054674 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: diners fall under one of only two possibilities..... old school crap ass diners with unequivocal food old school diners with heavy, homestyle cooking.. nothing too fancy (obviously as fancy is irrelevant to diners) upon entering Tom's... I quickly became judgmental.  definitely looked a little beaten around the path a few times.  should we stay or leave?  quickly, our attention was captured by a warm man who kindly was showing us to our seats, while offering us a sampling plate of sausages.  i took one bite (for taste of course)... it was the most fattening thing I'd ever tasted... all the more salty & delicious.   i didn't think the food was anything special or to die for.  while i appreciate the little freebies of food here and there... (and also the nice antibacterial spray was a nice touch).. i wasn't wooed in the least bit.  my omelette was jane plain ... with an iceberg salad tossed with a few diced tomatoes.  simplicity goes a long mile, but without the freshness factor in the actual ingredients, it will remain a plain jane dish.  On the other frontier, the sweet potatoe pancakes was the true starlet.  So simple and yet so graciously pleasant in your mouth.  Had a nice sweetness and texture that was distant from its traditional smooth, fluff, buttery norm.  Not too sweet either.... I don't think they added any extra sugar (at least not a ton of it), so all that goodness appeared to be natural from the sweet potatoes.   if there is one thing to love... it's the love that permeates in the air here.  Expect the family style atmosphere, as if your grandparents are taking care of you.  while good & gravy, this place is simply not my usual forte.  and that's ok.  i like my brunch scene with a bit more jazz and drama.  this place takes you back to the brady bunch days.  and who doesn't like that?; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.163338192; Sentiment_Subjectivity (from 0 to 1): 0.525194363 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Proprietors/Chef: Shige Akimoto, Scott Rosenberg and Naomichi Yasuda .Thursday Night Dinner. Taste ****** Mind dizzying sushi & sashimi.  The best in class that sushi has to offer in NYC.  Just thinking about the savory bite crunch of the uni makes me quiver to no end.  I simply had to order another one.  It was only proper and compliments to Chef Yasuda.  He caters to your every desired taste buds and warmly educates you... enabling a rich and humbling experience for us.  As soon as I hinted at my love for hamachi, I got yellow-tailed left & right.  No complaints!         Ambiance ****** Simply classic....clearly brings out the character of the chef and his point of view. Service ******** PHENOMENAL. HUMOROUS and Charming. He had to check in on me a few times, because I trailed off in conversations.  I was enjoying the food way too much in silence... I didn't mean to be rude! Dislikes - FLAWLESS. Likes - If you can't decide on your picks, trust the chef with his picks.  Anticipate with surprise and enjoy.  You won' be disappointed! Tips - Book your reservation in advance, at the bar with none other than Chef Yasuda himself.  And whatever you do, don't put wasabi in your "shoyu" soy sauce .. and if you order sushi, you are not allowed to dip it in the soy sauce.  He brushes the sauce and wasabi already for you on the fish itself... You'll insult him otherwise.  Severe mistake learned... I saw him cringe .. which made me cringe in shame. Overall - Charming, flawless experience with fantastic food that will melt your heart.  It's such a pleasure watching him with such precision.  I'm already waiting in line for the next reservation I'm able to make with the one & only.  The bottom line price tag? Yeah, it's a bit pricey, but they also offer prixe fix meal which is a hell of a bargain!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.234907834; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Not Spam</s>