Datasets:

syannn

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spammer

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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: I love that the food here is not heavy and greasy. I didn't feel gross after the meal and I had a lot. Argula salad - nothing special but tasty. Black and white tagliatelle - really good. order it! Pizza - fresca with sausage was good but the winning pizza for me was the vodka one. The sauce was just incredible. Best to get a reservation this place does get packed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.433225108; Sentiment_Subjectivity (from 0 to 1): 0.477705628 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 black label burger is delicious and lives up to the hype. I didn't like the french dip sammy that much.  Definitely get the burger.  Carrots were delicious and so was the spinach.  Bone marrow was soo rich and there's a lot in it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.368055556; Sentiment_Subjectivity (from 0 to 1): 0.613888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I FINALLY got to try this place out on a Friday night after everyone telling me it is better than sake bar decibel.  We got here around 8 pm and waited for about 30 minutes?  It's a izakaya style restaurant which I love because I can try a little bit of everything. Stuff I recommend: The chicken meatballs, fatty pork and something else yakitori style the beef yakitori Fatty pork + cabbage shrimp tempura - amazing. Mentai-cha han agedashi tofu Stuff that was ok: takoyaki - otafuku def. has way better takoyaki. I also got the Sour Shochu and it tasted like juice..nothing special.  I like this place b/c they have great food but I still somehow find myself liking sake bar decibel more...the atmosphere there just makes it more fun somehow.  too bad sake bar decibel doesn't have good food.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.189390756; Sentiment_Subjectivity (from 0 to 1): 0.566946779 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: mac and cheese blew my mind. also, love the meat pie.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.5; 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: Cool chill crowd with awesome bartenders. There's this grapefruit drink there that I really like but unsure of the name. will def. be back to try the tapas!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3875; Sentiment_Subjectivity (from 0 to 1): 0.4625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Suprisingly good. but their soup dumplings were alright.  I especially like their scallion pancakes and the shanghainese noodles.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meh. Overrated. Chicken was small and a tad over salted. Mac and cheese was decent. Baked beans ok. Banana cream pie was good too. Ribs stood out as being good. But don't think I will be back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.173809524; Sentiment_Subjectivity (from 0 to 1): 0.530952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and this place gets packed so it's best to have a reservation.  While I loved the food, i thought it was a bit overpriced. Appetizers: beet salad with goat's cheese, horseradish crème, soft herbs, hazlenuts.  I'm not big on beets so not a fan but everyone else liked it. fried east coast oysters with savoy cabbage slaw, cayenne-tomato butter.  I really liked the oysters. crispy and flavorful. warm octopus salad with fingerlings, chorizo, frisée, olive purée.  Super good.  the fingerlings were yum and so was octopus. Entrees: pan roasted chicken sweet potato salad, bok choy, hazlenuts.   Chicken was juicy like everyone said.  But not amazing.  I like the sweet potato salad though. For sides: Didn't like the broccoli rabe too much. But I really liked the brussel sprouts!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.333578431; Sentiment_Subjectivity (from 0 to 1): 0.630392157 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Friendly and efficient staff.  Saturday night at 8 pm, place was pretty packed. I didn't think the pizza was anything special to me.  The crust was too thick for my liking.  I think the best one we had was the pepperoni pizza.  Don't think I'll be coming back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.280357143; Sentiment_Subjectivity (from 0 to 1): 0.474404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really liked this place.  For appetizers, definitely get the fried oysters with avocado and bacon.  Great combination of flavors. Steak tartare was good too but fried oysters were  better. On the dinner menu, the hamburger isn't on it but if you ask for it, they'll serve it. My hamburger was sooo good! A bit too greasy but delicious. Cooked just right. Didn't like the fries that much though.  The fried chicken was also good! Porkchop was a bit dry.  Staff was friendly and nice.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.438860544; Sentiment_Subjectivity (from 0 to 1): 0.65255102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very cute place. Good service. I just love the fried okra. It's a must. The naan is also one of the best naan I've ever had. chicken biryani was also delicious!! will def. be back; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.464285714; Sentiment_Subjectivity (from 0 to 1): 0.635714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: out of all the viet sandwich places, i think this is the best one. i love the pork viet sandwich.  but there's a shitload of msg, when i'm done i'm usually downing bottles of poland spring.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.416666667; Sentiment_Subjectivity (from 0 to 1): 0.383333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not a big fan of Italian food but I really enjoyed my food here. The risotto balls were very cheesy...it tasted like cheetos to me.  Definitely get this! Creamy Lobster Maccheroni and Cheese was SUPERB! The sauce was perfect, the lobster was cooked to perfection, everything about this dish was great.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.4375; Sentiment_Subjectivity (from 0 to 1): 0.54375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here on a Sunday night with friends, and it was about a 45 minute wait.  It was packed...so that goes to show how good it is.  But we only waited for maybe 15 minutes or so.  I had the pork buns - I really recommend that.  And the sampler appetizer dish (I forgot what it was called), was really good. I tried the ramen and it was ok...but I'm not a huge fan of ramen to begin with.  They have a thing where if you have enough soup remaining in your bowl, you can order a second round of ramen and you pay $2.  So that's good for people who don't get full easily. I loved the atmosphere, the decor was really nice as well. I would definitely go again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.273076923; Sentiment_Subjectivity (from 0 to 1): 0.588461538 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love this hidden place. I got the Cripsy Duck Breast with marinated rainbow chard, tarragon roasted potatoes, peppercorn jus. It was so crispy!  A bit on the salty side, but still good.  Loved the fingerling potatoes it came with.  Hangar steak was good but nothing amazing to me. For appetizers, we got the Summer Vegetable pot pie, Béchamel, puff pastry, torn herbs to share.  It was alright.  I wasn't crazy about it. Sides that we loved: potato-onion gratin, radish salad grape tomatoes, basil oil, watercress, goat cheese sabayon roasted corn, grilled Radicchio, spicy house-made farmer's cheese Drinks were strong and my favorite is the Duchess (Gin, Earl Grey Tea, Blackberries, lemon, agave, lemon twist) since it was sweet. The Lolita (Gin, Aperol, Elderflower LiqueUr,Prosecco, Grapefruit,lemon peel) had a very strong grapefruit taste and drinking half of it made me tipsy.  King's County (Rye, Chartreuse,Carpano Antica, Cynar,Angostura & Orange Bitters, Orange Twist) had a very strong vodka taste to it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.352333333; Sentiment_Subjectivity (from 0 to 1): 0.672666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 tiny cafe on Thompson has been a favorite of mine for years, and I'll tell you why. Everything is fresh and the attention to detail makes it a keeper. The lamb sammie on ciabatta is melt in your mouth chunks of lamb, with roasted onions and pretty much to die for. It's big enough for two gals to share, for sure. My favorite soup of all time, they rock here -- the Avgolemono is super lemony and perfect, with al dente orzo. Served with toasted slivers of olive oil coated fresh bread. And in every take away bag then toss little twists of waxed paper filled with a few Jordan almonds. Pretty adorable, since I'm a sucker for these little touches.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.218859649; Sentiment_Subjectivity (from 0 to 1): 0.666081871 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in here while trying to grab a bite near enough to the movie theatre but far enough from the fratty douchebags of Kips Bay ... Et voila! Decently priced wines by the glass, and from the way DP inhaled the steak frites, I kindof wish I'd ordered more than the onion soup (it was good, if a little too tangy from the red wine in my opinion). Service was a friendly French lady, the food came out pretty quickly and best of all they leave you alone until you ask for a bill. This gave us ample time to listen to the rude girl at the table next to us take an extremely long, personal phone call at the table in front of her friends. I too hope the baby is his, btw, and I hope Biff gets out of rehab soon. Okay, maybe this place is just *almost* far enough from the sorostitute throngs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.170833333; Sentiment_Subjectivity (from 0 to 1): 0.488888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'd get a little nervous being the first two people in a resto on a saturday night, but we were well taken care of by the doting staff. I would recommend the fois gras mousse -- and before we'd even finished them the buttery toast squares were replenished -- and the venison pasta, which when they first opened was maligned by trusted reviewers, has come a long way, bunny. (too soon?) and was super tasty and delish. I uncharacteristically had a cab sauv on the rec of the server and it was quite lovely. for dessert, there was a rhubarb crumble situation that did not last long, if I recall, because it was scrumptious, but things are a little hazy. Absolutely looking forward to returning.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.105833333; Sentiment_Subjectivity (from 0 to 1): 0.485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tasty, Mediterranean fare, with a twist on the usual. Green eggs with a quinoa hash brown was a yummy way to kick off brunch. Add in their version of a Pimm's Cup, and you have a happy camper. Spacious dining room with lots of windows and rustic feel. The maitre d' and waiter were really friendly and welcoming. Great addition to Mulberry Street.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.305; Sentiment_Subjectivity (from 0 to 1): 0.56 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not like this place needs another rave review, and imma let you finish, but pretty much every iteration of their eggs benny is amazing. Johnny and Jane compete for my plate each time I have brunch here. I also highly recommend their bloody mary's. Friendly service. The only down side being that even with a reservation I almost always have a wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.078680556; Sentiment_Subjectivity (from 0 to 1): 0.666111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mean... I don't even know where to begin. My good fortune began with finding this adorable shop on a whim of wandering Vanderbilt for somewhere I could get takeaway to eat after yoga class. The guy behind the counter was so sweet and helpful, and he and his coworkers had a really nice banter going on. Something great about happy people working together... he helped me pick out my dins : a few chicken tenders, which were so lightly breaded that all I tasted was the juicy, tender chix inside. Absolutely delectble; some sweet potato mash, which was better than any dessert I could have chosen, it had the freshness of a just-made-by-insert-family-member and the sophistication of this-is-expensive (pro tip: it wasn't!); and the farro salad, which was a tangy treat, blending all things together. The best of all was how the guy packed it all up tidily, and each healthy serving was less that $5 each, such that a big to-go meal sized container was less than $7. So completely worth every penny and more. I'm actually heading back tonight, and may try some of their tea/coffee and snacks, before stocking up on a meal. (I noticed their bread counter had some Balthazar pastries, which looked very tempting); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.253044872; Sentiment_Subjectivity (from 0 to 1): 0.520032051 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm with rusty r., they are getting two reviews. I've been in the main dining room for dinner and although an ordeal to get a reservation and you usually wait a little bit, the food is good and lends itself well to groups. The beauteous dark wood is really uncomfortable to sit on, however, and you're perched just high enough to be uncomfortable, so I'd say don't bring old people. (4 stars) But I am so bummed at what they did to the back part, where there was a lunch counter type situation where you'd go up and order and where you could just lean/eat your buns/dash. They've capitalized on the space and made it into a bar. I think this back part *used* to be called Milk Bar, but now that is moved across the street in an all-sweets vending location. Obviously, this part is ok by me. Of course I always forget this new arrangement and show up there for some quick buns when I don't have a ton of time. I made myself sit at the bar this afternoon, and I have to say their new pork buns are le crapola. It was a cardboard meets church wafer bun with pork that was literally grey and gristly. I drenched the thing in sriracha and left with my tongue on fire. Heading straight across the street, obvs. (2 stars); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.039761364; Sentiment_Subjectivity (from 0 to 1): 0.411621212 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 delicious topshelf grapefruit margarita went down soooo easy... maybe too easy... nah, just easy enough. I seriously could have had ten of those. But then L would have been wheelbarreling me to the subway. The enchiladas verdes were a huge plate of Sunday afternoon goodness, very fresh and tender meat with the tangy tomatillo sauce really bringing it all together. One critique is that the queso was a touch waxy. I know it comes with the territory but I've had better. The space is a bit nightmarishly crowded, but the servers are really nice. If you want the best spot, the two-four seats on the short side of the bar are where it's at. I'm lucky L knew the drill and Yelped this ish before we got there and snagged seats there.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327152778; Sentiment_Subjectivity (from 0 to 1): 0.602430556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 in for an impromptu dinner and the quality continues. Really enjoyed the flatbread with ricotta and ramps, a nice crunchy sea salt bringing out the rampy-ness. {yep, that's a word.} The popovers were Maine-worthy and I didn't even mind having to deal with the sticky sauce all over my hands. The hake with endive, fennel and black grape salad was something I want to make over and over again in my own kitchen, it's so my style -- warm, fresh with that feeling of eating soup inside on a rainy spring day. Having just done a ton of cardio before dinner I was ravenous so I jumped at the chance to try Adelaide S.'s fried chicken, something I would never permit myself to order. I liked the breading, but there was something off about the chicken that I could not put my finger on... the cheese waffle was okay, tasting the cheddar more from the smell than the amount of cheese in it. For dessert the bread pudding was very good, a nice spongy almost Belgian gauffre-y texture to the cake and smothered in a creamy caramel with a spoonful of whipped cream. The dark and stormy had no lime juice in it and the ratio of rum:ginger beer was a little off, but once the ice melted a bit it took the edge off and was pretty good. I think it was a question of preparation over quality of ingredients. BC stays on the roster for good eatin'. I shall return.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.314212963; Sentiment_Subjectivity (from 0 to 1): 0.711851852 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 farro beet salad situation is out of control. It looks so simple, deceptively so! You've gotta get some of this action. Actually, no. Stay right where you are. I want the rest of it for myself.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.096428571; Sentiment_Subjectivity (from 0 to 1): 0.273214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at this place is 4.5 bordering on 5 stars for fresh ingredients, simple dishes that are really wholesome and satisfying. Just what you look for in a man--- I mean, in a meal. The Israeli Breakfast was delish, with my favorite Israeli salad (sans bulgur & o/o), tahini with seasonings/olive oil, two perfectly poached eggs and some pita to soak it all up with. The trouble, as a couple of people before me have mentioned, is the service and the way the staff handles the crowded-ness during busy periods. For brunch, I was seated at a 2-top that hung unto the aisle, was wedged waytooclose to the 4-top against the wall and also managed to abut the stairs. Major layout fail. We were constantly jostled and busboys/servers were leaning over our heads and around us uncomfortably. If they delivered, I would order in and gladly give them 5 stars for food alone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.117857143; Sentiment_Subjectivity (from 0 to 1): 0.598426871 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 girls dinner is the kind in which you end up sharing everything, which is good if you plan on writing a review about it, but bad because girls notoriously under-order each other. She'll just have an entree; and she'll just have an appetizer; that one? Fine with bread and water. Thanks. The asparagus soup with mushrooms and garlic croutons ($8) was divine and almost completely unsalted, such that I had to add some (I can count on one hand the times I have ever added salt to a meal). My friend's strawberry and fennel salad ($10) was light and fresh, earthy and aromatic. I had a the tilefish ($24) that was light and flaky and prepared with mushrooms, asparagus, spring onions and dusted with caper butter. And of course, four dainty lady spoons dug into the delightful chocolate pot de creme ($8) and split the accompanying cookie in four pieces. It was just rich and creamy enough that the 1.75 bites we each got really hit the spot. They have half bottles of wine, for those who can't quite finish a whole bottle between two or who want a different wine from a companion. Why aren't there more half bottles on restaurant lists? I like that they use fresh, local ingredients. I liked the mostly attentive service. I will surely be back. I hear their brunch is really popular. But you'd better believe I am going back to eat like a man.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.284946237; Sentiment_Subjectivity (from 0 to 1): 0.565322581 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty good French cafe food with the requisite just-snooty-enough waitstaff, door policy and clientele. Make a reservation. The best time to hit Balthazar is for a late breakfast, when things calm down a little. I recommend enjoying a cappuccino with a croissant over the paper. Lunch-wise, their French onion soup was a disappointment, but their steak tartar was tasty. Those are my two bistro benchmarks, thus the 3/5. But the bakery! Stop in and grab a few petit fours -- if they're not out, ask for them. They have seasonal designs and are perfect moist cake covered with a buttercream fondant, heaven in one inch cubed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165918803; Sentiment_Subjectivity (from 0 to 1): 0.472222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very much enjoyed the orange blossom and rose water for their aromatic-ness, the raspberry was a bit sweet. The chocolate tasted cacao-y, much like the gluten free cakes you find these days, but the stand out for me was really the caramel fleur de sel (the caramel was actually chewy and you could bite into the tiny salt flowers). The shop is dripping with ridiculous pretentiousness... yet the shopkeeps didn't even know what I meant when I asked : are they chilled or room temperature? ... and yet, they really wanted to tell me and my old man friend (aka the old guy with a hat in front of me in line) about the angel "proferring" (actual word choice) a cake in the logo and that she was based on one of the Botticelli angels or the Sistine Chapel, maybe she said Sistine Chapel but my mind said, hmm... looks more Botticelli to me. Either way, ridiculous pretentiousness all around but some damn fine little gateaus. The minimum purchase is a box of 8, which I SUFFERED through for you in order to write this review. I know, I know. Your heart, it bleeds for me... In short, these are some really good macarons that you most certainly pay for with your money as well as your patience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.196513605; Sentiment_Subjectivity (from 0 to 1): 0.489115646 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Regardez la petite abeille! Is my favorite line from Marie Antoinette. I'm not sure exactly how that is relevant, other than the most precious little French-speaking baby is running through a field of wildflowers as Kirsten Dunst looks off in the other direction like a doofus, not understanding the child. I think it was more of a visual movie. Plus, I was getting some strong Belgian vibes from this place... from the Stella and gauffres to the Asterix comics... so let's just ignore my whole first paragraph, ok? I had the most lovely braised beef here, sweet and juicy and just falling apart on the fork. Paired with lightly crunchy fries it made a tasty meal and the other half of it was just as good for lunch the next day. I was encouraged to try their hot chocolate and it was also very good, not too thick, not too runny. Next time, with a gauffre. With The City Bakery* right near by I wouldn't come back for their HC, but I will surely come back for dinner or brunch again. Really friendly service, the kind that leaves you alone to talk, not bugging you for the check so you'll have to ask for it. You feel like you could sip wine and chat in here for hours. -- * (best hot chocolate in the city, in my opinion) yelp.com/biz/the-city-ba…; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.263191138; Sentiment_Subjectivity (from 0 to 1): 0.51324515 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 hey, honey. Come on down to SoCo for some comfy breakfast food on your hungover Sunday mornin'. This place is ginormous. Huge. There is a little DJ booth in the front, along with a bar, that opens up to the hugest dining room I have seen in Brooklyn. Plus, there is a back patio. All this space and a tiny kitchen and the place was almost completely full on a Sunday afternoon. Whoa. The red velvet waffles that everyone is talking about were pretty good, but it was the bourbon maple syrup (totally the real deal, no Aunts were involved in the making of this stuff) that made it worth the whole trip. To get those waffles you HAVE to order it with the chicken, a bummer since I prefer eggs in the am, but since I came all the way just for those, I ordered a side of scrambled eggs and shut my mouth. And by shut my mouth, I mean I opened it to down the best grits I have ever tasted -- I even said : these taste like I'm eating clouds. So fluffy and just the right mix of cheesy and egg-y and grits-y. The fried chicken was not greasy at all and had a nice, sweet corn, flaky crispy outside. Perfect, when dipped in that bourbon maple syrup. The portions were huge, so great to share. The coffee was ok but presented so adorably on its own little tray with bamboo leaves holding it in to place, I can forgive them for it not being better. They also serve some hard to find New Orleans beer. Plus! 20% off with your check in on Yelp!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.175250138; Sentiment_Subjectivity (from 0 to 1): 0.5837413 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: From the Char No. 4 peeps, you know I am already biased in their favor. If you guys haven't checked out this Brooklyn bourbon/steak join, Go! But Maysville happily had the same gorgeous warm lighting, handsome and handy bartenders and the Spick Buck! My favorite bourbon and ginger beer elixir! ($11) The food was less steak and more Maysville, KY, which trended towards some seafood, pork and such. All very solid. Oh and those little cornbread muffin things. Just adorable. Crowd was quite eclectic, but such is the area. A very mixed bag-- from the drunken eastern european model wannabe who could not stand up straight behind me and kept falling into me (at least she was wearing a nice soft faux fur) to the williamsburg hipster asian tech guys, to the upper east side 50+ers... just a random crowd. And kindof loud on a Friday night. As an FYI.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.176833333; Sentiment_Subjectivity (from 0 to 1): 0.527866667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm not sure I can overstate how amazing this pizza is: thin, chewy crust, just enough to contain the gobs of goodness on top of it... and there are DOZENS of options, but the Laura is my hands down fav with the creamy cheese and prosciutto just salted enough to bring out the tangy bready goodness of the crust... amazing. Good for groups at large wooden tables or for pairs at the bar. Wine list is easily accessible with prices from $30-$100. Help and delightful service is offered from the Italian speaking (and how romantical!) staff. Love this place. It's a new favorite.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.254123164; Sentiment_Subjectivity (from 0 to 1): 0.575640862 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: No reservations, tiny space, sat on top of others. My wait on Saturday, 6pm arrival was 48 minutes. Even though we stood there, she still called my cell and checked that her # came up on my screen before she sat us. I guess there has been identity thievery before. The food is pretty good, but it will take you a long time to get it (from arrival) and once you do get it, they will be standing over your shoulder waiting to rip the bowl/plate from under your fork holding your last bite. Then they will remind you 3x in 5 minutes to pay the check and get out, in a really pushy way. How good does the food need to be in order for someone to enjoy eating like this? The vegetable dumplings and spring rolls were super good. Absolutely delicious. The "most favorite" per the waitress crab pork noodles smelled super weird, but my companion loved them, so it was maybe just my personal taste. They were on the sweet side and got cold really fast so I maybe ate a 1/4 of them. It was pushy everything but cheap, so... decide for yourself whether it's worth it. I didn't see any delivery heading out, but if they do, I'd opt for that.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.300724638; Sentiment_Subjectivity (from 0 to 1): 0.606521739 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Long Island Boy Makes ... Eh, Okay I knew nothing of what to expect here, not a watcher of any Top-Chefery type shows nor follower of the joke that is Michelin ratings, but I DID learn a little in preparation for dinner. 1. there is a scathing NY Times article* about the chef's decorum and 2. my friendster S. told me I'd want to molest my date for taking me there. (um, I'm paraphrasing a little here) We went for the tasting menu, which began with the a strange herb to open up the palate. I could just hear the chef going: let's see if we could get these suckers to suck on a weed for a full minute before we rush them out of here. And the consistent factor in this experience was feeling rushed out the door. There were moments I needed to swat away overeager busboys from stealing my plate when I merely rested my fork. They took away my date's 1/2 full Ketel and tonic while he wasn't looking and cleared away dishes faster than we could finish them. That's right. FastER than we could finish. I get that you need to flip a table in a certain amount of time, but for a couple hundred bones for dinner, it's not cool.** Following the bitter herb, there was a tasty and fresh watermelon salad with some sort of spicy gaspacho. The only slightly fishy hiramasa tartare, with avocado, pinenuts & um, potato chips was pretty good, too, if an odd pairing. My favorite dish was the halibut en croute, with artichoke, raisins, hazelnuts and whatever special sauce they were serving up. It was a nice transitional dish, moving from summer to fall, reminding us of the change to come. The oft-lauded chili lobster was good and I let my date eat most of it because it was ridiculously spicy (but I cede to others' opinions on this, since I am a spice weenie). But it was this dish that revealed for me the thread that brought this meal together. It was all flavors from a suburban American childhood, from the poor excuse for "ethnic take out" to trying to dress up plain, factory-produced, grocery store ingredients as a fancypants meal. Just really uninspired, un-unique tastes. While my date slurped up the sauce, I was reluctantly trying to regain sensation in my tongue. Apart from the lack of inspiration, the meal was uber-salty, especially my Buddhist duck that I chose as a main (maybe it was too busy trying to reach nirvana) and could not finish & the truffle pasta which was also sadly bland for something with the word Truffle in its name. I'll fast forward and say I did enjoy the small taste of the (New) Jersey blueberry cobbler, maple crumble with lemon verbena ice cream that I got before +1 inhaled it. The poor dear did not do well with the small portions. My peanut cookie with jelly flavored ice cream sandwich was great. I would have gladly shelled out a fiver for it at my local diner back home in the 'burbs. So while the simple flavors weren't bad per se, the food was oversalted and boring. The busboys' overeagerness to clear plates and drinks made the dinner almost stressful. Clearly overstaffed, they would have done well cutting one or two of them and getting a better server. Ours was ditsy and unconvincing, not able to respond to simple questions about the dishes and forgetting each thing we ordered-- from drinks to the main (on the tasting menu, it's the only thing you choose that isn't dessert). I just expect more from a place that asks you to shell out this much for dinner under the guise of fine dining; and this is not even taking into consideration this purported reputation. I also learned this reservation was made before I was a twinkle in the date's eye, so apparently you need to prepare for months in order to have an overpriced, uninspired meal. Hmpf. -- (2.5) * Diner's Journal : dinersjournal.blogs.nyti… ** I could wax on about having a responsibility to those who trek in to see the "famous" chef for their "special nights", etc. and I honestly do believe there should be some honor among the thieves we call high end restauranteurs, but it's not why I was there, so I'll spare you that.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.053812033; Sentiment_Subjectivity (from 0 to 1): 0.550593826 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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've got to be kidding me. I lived around the corner for years and the overflow of hungry, hungry, hipsters making this corner impassable was enough to deter us from eating there, usually. But one late night, a foursome of us came in to grab some late night grub. The food=blech. I do not know what you people are talking about with that corn bidnezz. It was dry and nasty. And the plaintains were somehow both sticky and dry at the same time. About 10 minutes after we had gotten our food, they made us get up and move everything (ourselves) to the cafe tables in the back. I am not sure why this happened, or why we agreed to it, but we did. It was late and we'd all worked long days, so our resistance was low. The entire experience left a really bad taste in my mouth.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.205208333; Sentiment_Subjectivity (from 0 to 1): 0.484722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Total make out city in this place -- in the sense that once you get here, you are on the outskirts of making out with your date. Super romantic vibe, good wine list with tons of options. A few choices of small places, stuff to share and full dinner. In the summer, they'll leave the big windows open so you can get the nice sunset light mixed with candlelight and in the winter it's a perfect cozy nook to retreat to. Get there with your honey.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.195238095; Sentiment_Subjectivity (from 0 to 1): 0.561904762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Um, yes. Yes. Yes. Yes. Just... just go. Things Smarmy and I had here included: scallops, which were tender and delightful and my personal fav the bacon wrapped dates with gorgonzola (whoa mama. in some circles, these are known as Devils on Horseback. who would ever run from this Devil?) pulled pork sliders, which were also super yummy, on tiny light fluffy brioches and at the rec of Mr. Smarmy, we had to get ... the bacon doughnuts. Save room for these sweet little things peppered with salty bacon. we split a bottle of tempranillo -- lots of very affordable options in the under $50 range -- and the waitress was spot on with a recommendation based on what we said we liked. the menu changes all the time, which is a sign of chevery at its best, always wanting to keep pace with new ingredients, what's fresh, what's best available. we ordered a few less than recommended by the waitress to share and it was a perfect fit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.335027911; Sentiment_Subjectivity (from 0 to 1): 0.491467305 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 A rating calls the Heath Department's entire rating system into question. I think Addie S. was right about that one. This place is friggin' filthy, but somehow my wimpy stomach came through unscathed. This is the best kind of greasy hole in the wall (oh, yes, there were also holes in the wall -- seriously, Health Department?!) serving up really tasty dumplings and pancake things. When the guy whipped out a freshly baked (fried? probably fried...) one it looked like a sesame covered pizza folded over on itself, stuffed with meat, cilantro and crunchy pickled veggies. And this place is dirt cheap (did I mention there was dirt? Like everywhere that there wasn't already spilled soy sauce or some erstwhile patron's garbage) -- 8 vegetable boiled dumplings for $2 and a sesame pancake with beef for $1.75. But yeah, I'll be back. There's a recession out there and I've been meaning to beef up my immune system. (3.5); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.142640693; Sentiment_Subjectivity (from 0 to 1): 0.502489177 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Buckwheat crepes, stuffed to the brim with goat cheese, figs and caramelized onions... and that's just the vegetarian option! There were at least 15 options of crepes from traditional ham, swiss, egg to Italian with prosciutto, etc. to modern American like the veg one I just mentioned. Very affordable bottles of wine from ~$28+, with quite a few in the $30-range. The dessert crepes were such a sweet treat. My dining companion had the nutella banana and I had a Proustian moment with my all time favorite crepe au citron. Just a little squeeze of lemon and a sprinkle of sugar transports me to a time not so long ago when I would wander the streets of Paris after a night of revelry with one of these beauties wrapped in paper in my hot little fist. Le sigh. I am on a ROLL lately with Yelp rec's from reviews and friends...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.018333333; Sentiment_Subjectivity (from 0 to 1): 0.456666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 old timey tin bar, mirrored walls, dark wood and cozy atmosphere with surprisingly decent food and drinks. The downside is that it's insanely loud. You'll leave here even on a weeknight with a hoarse voice, which is a bummer. I never know how the logistics of this work: is the music too loud initially? or is it just the crowd involved that makes a place din-y? It's a nice find for the neighborhood, and may be better over the weekend or at lunch. I loved the corn croquettes and the lamb meatballs. They were really good and not greasy at all for pub food! Our cocktails were well made and nicely presented. So, if you are a loud talker or travel with an MagnaDoodle for communication, this is the place for you. ;); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.267261905; Sentiment_Subjectivity (from 0 to 1): 0.66547619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 impeccable service at ai fiori was matched by its well appointed dining room and staff. Business lunch fell a bit short on flavour and variety, and the coffee was just bitter (so pass on it) I would consider coming back for dinner (and not a lunch prix fixe) to see if the food quality matches up to the service when all the cards are on the table.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.3875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ::head explodes:: * Everything I smelled, looked at or put in my mouth in this place was incredible. The majority of people were very pretty to look at. If only there weren't so goddamned many of them. Perhaps it's that this place is still in it's "new" phase where people can't get enough of it, but it's really miserable trying to find anything, eat or drink anything or pay for anything with the amount of people pushing all around you. That said, best cappuccino I've had in a while. --- * copyright Brian H.; this is the phrase that came to mind when I walked in and tried to find my friend amidst the throngs of people.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.232670455; Sentiment_Subjectivity (from 0 to 1): 0.706818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 things DO come to those who wait, and for those of us in Windsor Terrace, Giuseppina's was worth the wait. I hit up this pizza shop tonight and although it's obvious that the place opened for business merely two days ago, I am really excited about what is to come. The service was overeager, but helpful and attentive. The hostess triaged the crowd of people and sat us all quickly. When we asked about ingredients, one of the managers came over to chat with us. There is a small wine and beer list on a chalkboard on the wall, offering 5 wines (with one white and one red by the glass option) and 5 beers. At this stage, they are offering only whole pies, thin crust with their signature mozzarella+buffalo mozzarella sprinkled with parmesan. We topped our pie with beef pepperoni and mushrooms ($20 a pie, toppings +$3 each). The other topping choices were onions, shallots, hot peppers, peppers, olives. It arrived perfectly hot, with an even distribution of the above, basil and lots of garlic. I was tempted by the calzones, which looked and smelled great coming out of the wood fire oven, but we couldn't even finish the pizza, so I'll have to get one next time. Any of the above toppings could be mixed in (large/small are $20/$10) The cheesy Italian American songs in the background -- from That's Amore! to Mambo Italiano to some Sinatra -- just make you smile.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.085333333; Sentiment_Subjectivity (from 0 to 1): 0.435 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: To add to the many rave reviews, I will agree that this was a truly amazing steakhouse and you get quite a bang for your buck. Plus, when Melga Smarmy gives a place a rave review, I listen. And not just because I'm scared of her. We put our names in and waited maybe half the wait time quoted next door in the garden of Spuyten Duyvil. They called Melga's cell and we slipped in the back door. We started out with the Artichoke Hearts & Aioli, which was epic. I mean, who knew? The huge artichoke hearts drizzled with aioli (which is a treat because I do not have the superhuman patience it requires to make at home) were tangy and salty and fresh. Oh my. But steak is where it's at: our group split a few rather than go nuts and each get our own because they are BIG hearty lumberjack portions. (like, actual lumberjacks, not just those who dress like them) A pair of Butchers Steaks with garlic butter and one Steak au poivre (guess who had to get that one?) fed the four of us and made two generous take-home plates. The sides were phenomenal. The truffle mashed potatoes are a MUST, the male contingent required the Berkshire bacon, and even though I claimed it was excessive, I was caught nibbling on that thick, chunky, salty goodness. (Glare from Melga.) I even ate the creamed spinach, and despite years of childhood protest, it was delicious. If I could have possibly fit more food inside me, I would have tried dessert. But that's what next time is for.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.162310606; Sentiment_Subjectivity (from 0 to 1): 0.451325758 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Irony (not Alanis style) is when you defend something that turns out to bite you in the heiney (not affectionate name for beer). the wine, which was pointed out to me in the context of "I always worry about some wines by the glass... whether they're low quality or have been left open too long." me: "no, they're fine!" after just two glasses, this wino woke up with that icky crappy-wine headache, the one I used to get when I was 22 and thought it was ok to drink the wine they serve doofuses (like me) in Irish pubs, the one they've had open for six weeks. the space is cute and the servers are friendly, but that's where it ends, really. I kept saying, "no, it's fine". but really, those chair bench things look cool but every man, woman and child agrees they are the most uncomfortable things on the face of the planet. they slope down so you're constantly falling (unless you're wearing rubber pants) and they are just the wrong size for any tush bigger than a toddlers. and I know it's park slope, but still, toddlers should not be bellying up to the wine bar. oh, $1 oysters on Thursdays. I choked on pieces of shell and godknowswhatelse in each of the briney LI ones they had yesterday. you get what you pay for, sometimes. full of peeps coming or going from the Barclays Center. I think you could walk half a block and do better. redeemed a star for their epic negroni, ironically the best I've ever had-- I used to make these things weekly!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.138528807; Sentiment_Subjectivity (from 0 to 1): 0.440329218 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here has always been five star; there is very little that leaves you wanting after multiple courses of the likes of gooey goat cheese fritters in lavender infused honey, Crispy Brussels Sprouts with fuji apples, crème fraiche and pistachio nuts, Chestnut & Mascarpone Ravioli with pancetta, sage brown butter, vin cotto and preserved lemon and Warm Duck Rillette with tangy sour cherry, pickled sunchoke, spiced tuile and purple mustard ... and the list goes on. It's even great for a group with vegetarians -- the pan-Mediterranean menu is full of meatless options. The wine list does not disappoint either, with a wide variety of tasty options from $28-$600. But the service. It's so lamentable. From their awful policy of giving away tables if you don't jump through their hoops of 1. calling during set reservation hours and then 2. YOU must call THEM back on the day of the reservation before 2pm or it's given away. Checking in is equally painful, as private conversations dominate between the staff, while a line of patrons wait to check in for their hard won tables. I dined with two 60-somethings and after we were crammed at a tiny table at the top of the hallway that the servers bustle through, we asked for another table. Since it was 6:05pm and the restaurant had barely 15 other people there, the server's silent stare of death was unnecessary. We ended up shuffled through the kitchen to the back dining room. Being so isolated ended up being for the best since the main dining room and "terrace" area get rockin' busy and it's not so easy to hear your conversation, even with the not so parental crowd with whom I usually come here. Our server was fine. I wouldn't call her friendly or attentive but at least she didn't ask us to leave, like the (I'm assuming) manager did. We'd just paid our bill and were sipping the last drops of our after dinner drinks when he came over to "inform [us] that the next party has arrived for this table". It was just unnecessary. I'm not going to write here about the size of our bill, because even if it hadn't been sizeable, that kind of behavior is uncalled for. In a restaurant with easily 60 tables, I have to wonder if he shuttled around with a stopwatch set for each table. We were obviously leaving within the next five minutes and to do that just left me with a bad taste in my mouth. Happy birthday dinner to me. Meh.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.062556306; Sentiment_Subjectivity (from 0 to 1): 0.470945946 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Penelope and cannot get my bf calling it peen-a-lope out of my head, so that is how I say it. Non sequiturs aside, this is an adorable cafe in the most unexpected part of east midtown/murray hill/bellevue land. Even though this place has been around for years, the wait for brunch is long for a reason. Brunch is SO good here.  If you come a little earlier than you want to eat, you can enjoy their free coffee and catch up with your date(s) because you won't be talking once the food is put in front of you. For dinner and lunch it's a little less crowded, so enjoy a more leisurely pace then. My favs include: --Nutella French Toast (exactly as it sounds) brioche filled with warm chocolate hazelnut filling --Warm Artichoke-Spinach Dip with pita bread --Warm Brie and Green Apple sandwich with honey mustard on 7-grain toast --Mac & Cheese, which is solid and not as heavy as at other places, if you're looking for a lighter than usual version It used to only take cash but now it takes all cards, which makes me want to throw 5 stars in the air and dance around. Whee!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.195512821; Sentiment_Subjectivity (from 0 to 1): 0.516987179 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm going to try not to gush all over this review, but I am not making any promises. I have been here so many times over the past several months that I kindof want to set up a little hut on the back patio and live there. I'm sure I could work out an arrangement with the staff, perhaps doing dishes in exchange for foodstuffs and cocktails. Consistent 5-star experiences, for both brunch and dinner. Pre-dinner: If you're not going to drop in at Sycamore (also recommended), you're going to kill time waiting for your +1 at the well-stocked, top-shelf bar. Let them make you one of their seasonal cocktails. I loved the Effie's Secret which included-- surprisingly-- port, rum and maple. Very warming-to-your-core type of stuff. Dinner: I think I could eat an entire meal consisting of their moist and buttery rosemary foccacia-type bread. omfg. For something more substantial, however, I recommend the delightfully salted ricotta and "upstate carrots". The butternut squash tart is also perfectly paired with a nice aged balsamic vinegar. They have a lot of vegetarian options, but their steak special never disappoints. I was loving the sunchoke puree they were serving it up with over the summer. For dessert, the chocolate mouse with salted creme was heavenly. Very good coffee from Jim's Organic. Brunch: I have never seen my dad eat something so fast as he did the Red Flannel Hash. Maybe it was because he had spent all morning directing my movers around, but it srsly disappeared in like 2 minutes. The tangy beet mustard matches the hash drenched in beet juice in a really pretty display equal to it's delightful heartiness. Everything you read about the chocolate brioche with sea salt butter is true, so get it. I had to arm wrestle my dad for the last piece. He is getting old, or I might not have let him win. Besides all the yumminess, they focus on interesting spins on classic things and source a lot (all?) of their produce/meat/etc. locally. +1 for sustainability.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.302431564; Sentiment_Subjectivity (from 0 to 1): 0.498489729 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 absolute favorite thing here is their drink the Spicy Buck ($11, Weller Antique bourbon & Blenheim SC Spicy Ginger Ale). The ginger ale is really ginger-y and not sweet and really matches the bourbon in bite and spice. I have to say first off the service is stellar; really friendly and they seem to magically know when to check on you, when to leave you alone and when your drink needs refilling. This is clutch. GW & I came here a couple of times because of the late night menu and the location to other drinking and other activities. And because boys like steak. Duh. And the steak is the thing to get here, for sure. Tender and juicy, like it should be. The Grilled hanger steak with crispy rosemary-garlic potatoes ($24) was amazing yet surprisingly so was the Herb-marinated grilled half chicken with roasted potatoes, fennel, bacon & pickled ramps ($22). The gnocchi was pretty bad, though, and I feel like it's almost my fault for ordering that at a steak house. They tasted like bland croquettes in a questionable brown sauce. I see they've been taking off the menu in just the few weeks since I've been there so, I guess I wasn't the only one to think so. To start we had Smoked & fried pork nuggets with hot sauce ($4) which were spicy and crunchy, but the Crispy cheddar curds with spicy pimento sauce ($7) were a bit of a let down and not too exciting. The Cornflake crusted crab cake with lemon bay leaf sauce ($9) changed our "I'm not really a crabcake person" into a "wow, this is awesome!" person. But, to be fair, he does overuse the word awesome a bit. ;) Would I go back? Absolutely. Girls, bring a boy here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.134603175; Sentiment_Subjectivity (from 0 to 1): 0.655079365 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: With the multiple recommendations I've been given to go to this place, I have to guess it was good. But it seems like they can't handle the volume coming with the success. An hour wait for brunch and they don't take reservations. Ok, that's annoying but not so unusual. The huge communal table in the middle of the room allows for everyone to be constantly smashed in the back by servers and patrons. The server was pretty pushy, clearly because of the line outside. The pair next to me and my fellow diner ordered the same thing - shakshuka. And like us, they found it bland, like watery green cellulose and a runny egg with cardboard bread. Only they were interrogated by the server as to why they didn't like it- in a painfully awkward conversation happening on top of half a dozen other people. And good for them, they eventually told him it was tasteless. So they got free dessert. We just got our bill for $40 and were shoved out the door.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.055666667; Sentiment_Subjectivity (from 0 to 1): 0.490666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Often when one recalls a lover, one fondly remembers the good while ignoring the bad. Verlaine was the poet Rimbaud's lover. I shall thusly bastardize some poetry: But, truly, I have wept too much! [for oversugared, hypoglycemic coma inducing drinks] The Dawns are heartbreaking. [for they are the worst kind of hangover] Every moon is atrocious and every sun bitter: [but the drinks are sweet, oh so sweet] Sharp love has swollen me up with heady langours. [and so many heads can fit in this place to languish away the hours, it's huge!] O let my keel split! O let me sink to the bottom! [yet floors and bathrooms could really use a mopping] I can no more, bathed in your langours, O waves, [of $5 drink specials until 10pm] Sail in the wake of the carriers of cottons, [I've got nothing for this one.] Nor undergo the pride of the flags and pennants, [and I love how it was an old skool Yelp cool crowd hang out] Nor pull past the horrible eyes of the hulks. [and that there aren't too many meatheads or frat boys, which is good times] so, ok, Verlaine. I won't kick you out of bed, but you'd better be ready with some mineral water and Advil for the love hangover you're giving me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.120905172; Sentiment_Subjectivity (from 0 to 1): 0.583333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, I don't know, Yelpers. I feel like you kindof led me astray with this one. Melga Smarmy and I were here a month or so ago and I had high expectations because of all the great reviews, but everything was lackluster. Although we were greeted by a friendly proprietor, the place was completely empty at 7pm. We started with two of the spreads, chicken liver mousse with caramelized onions ($7) & the artisanal cheese with gruyere ($9), white wine & herbs. They both tasted like they came out of a can. And how. The chicken liver mousse was so unpalatable, especially with the pile of onions just plopped on top in a completely unappealing way, we just munched on the bread, which was slightly burnt. And the "artisinal cheese with herbs" tasted like that stuff you get for $4.99 at the grocery store. After a while of tolerating our not-so-good wines by the glass, the waitress finally came over to take our plates asking if there was something wrong with them. How do you say : "they were gross", without sounding mean? She was so nice, so we didn't say anything. I had high hopes for the duck confit poutine with fries, cheese curd & gravy ($18). I mean -- who doesn't like duck, fries, gravy and cheese? How could you go wrong? Oh, man. The cheese was congealed in chunks over flavorless, dry duck and greasy fries. I tried to like it. I did. And I think if better components were used, I would have. But it was so gross, I just picked out some of the duck and gave up. Smarmy's look of disdain was enough to break my heart as she ate her moules frites ($14), which were listed as "spicy mussels & fries". She told me they were as flavorless as my dish. And we had one of those moments where, after someone describes their dish as poor quality and they ask you : "want to try it?" There were death rays coming at me from her eyes. After this showing, and even after trying another pair of different wines by the glass, Brindle Room did not redeem itself. It was like bad diner food dressed up with French-sounding names and prices. But even if everything were half what we paid, the quality of the ingredients was just ... lacking. I won't be back. Any place that makes me look bad in front of Melga Smarmy is on my sh!t list.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.083793103; Sentiment_Subjectivity (from 0 to 1): 0.56454023 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was impressed! This was my first time picking up food from Snack. I had no idea it was a Greek place after walking by a few times. I was pleasantly surprised by the quality at this tiny but quaint eatery. I'm half Greek so I've had a lot of Avgolemeno soup - I got the Snack version and was totally blown away! I loved the big orzo rice and the flavor was perfectly lemony and super delicious. The Chicken Artichoke salad was WOW! Its huge and there was a generous amount of roasted chicken and all of the other fresh and tasty toppings. My minor suggestion for the kitchen would be to cook the potatoes just a little more. But that didn't affect the overall amazingness of this salad. This will definitely be a place I will be visiting again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.151166667; Sentiment_Subjectivity (from 0 to 1): 0.547666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 got an order for take out. It took a SUPER long time.Granted it was a busy Sunday evening but when i got home a few blocks away the burger was stone cold like it had been sitting in the back for a while. I ordered the turkey burger. It's annoying to me that they won't change out the burger to go with other toppings AND only offer one turkey and one veggie option. I didn't like the feta and sprout combo on the turkey. Seriously how hard is it to make a simple switch for turkey burger. Probably wont be back since I don't eat cows. Oh well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.151282051; Sentiment_Subjectivity (from 0 to 1): 0.485164835 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 full moon evening here in SoHo. Walked over to pick up some late night dinner - salmon with champagne sauce and roast potatoes on the side. Generous portions and everything was really delicious! I'll go back to get this again and to try out their pastas. Bravissimo!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.31; Sentiment_Subjectivity (from 0 to 1): 0.58 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ohhh Snack. I love you, Snack. I order from here often since it's close to my work and their delivery is always precise and on-time. Their avgolemono and vegetarian souvlaki are fantastic and I hope that one day, maybe, I'll be able to replicate their giant beans in that delicious dill tomato sauce. I haven't yet eaten in the store itself, but I'm sure it'll be just as enjoyable as digging into my brown paper sack for the best (and still reasonably priced) lunch I can find in SoHo.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.731388889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 understand the whole "You can't order off the lunch menu if you're sitting down for dinner" thing, especially when your restaurant is empty.  You'd think they'd be glad for the chance to earn a tip and the glass of wine or 2 I might order... but I guess not.  -1 star for that... The lamb sandwich to go though was pretty awesome.  I'd go back and try a sit down dinner, but I guess I wouldn't be able to have that sandwich again.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.203888889; Sentiment_Subjectivity (from 0 to 1): 0.610277778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had no clue about this place, so thank you to the friend that introduced me to it!  At first I thought it wasn't going to be very good because their tapas list was a mile long.  They seriously have every variety of tapas under the sun and then some.  How can they possibly be good at making everything??  But at least for the ones I got, they were good!  Now I'm intrigued by this flamenco night thing that everyone is raving abt.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.293095238; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came back here for a 2nd meal and ended up not being that impressed anymore.  Had the lamb this time which was good, but almost a little too sweet.  Had the mushroom appetizers again and they were just okay.  I wonder what happened here, but it was a bit of a disappointment after I had made it a point to go back.  Still BYOB which is always good, but now I think this place is just okay.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.269318182; Sentiment_Subjectivity (from 0 to 1): 0.431818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 East Village is becoming a fried chicken death trap.  Last I heard there was so much fryer grease circulating in this neighborhood that oil companies were going to start fracking Tompkins Square Park.  But I digress... When the "Bucket of Bird" was brought out, present parties declared that it was "the most beautifully presented fried chicken" they had ever seen.  But as we all know, looks alone ain't enough.  #amirightladies? It was indeed, a good serving of fried bird.  It had great lemony tang, and was juicy.  The special hot sauce they brought out added a good kick and a hint of sweet. For the sides, we ordered the mac and cheese and the spoonbread. Tip: don't ever order the mac & cheese AND the spoonbread... they'll run out of cheese... because it will all be in a smoky molten pile in front of you. But, cheese coma aside, the spoonbread was the standout hands down. Lovely drinks, lovely desserts, lovely staff (though, I have to say I expected more southern belle and less British accent), and a great setting. I'd be back in a flash, but now I have a tough decision to make... this or Bobwhite... oh the agony.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.208786848; Sentiment_Subjectivity (from 0 to 1): 0.504535147 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On a price performance basis, you can't beat this lunch truck.  Sandwiches starting from $5... filling and good.  There's always a long line here which is a great indicator, but it moves quickly.  Quite an efficient operation and looks like a friendly bunch of guys.  I'll definitely be back to sample the rest of the menu.  I had a standard lamb pita deluxe with the works. The fries are good, but not sure they're worth the $3 upgrade... that was about the only thing I thought was unreasonable.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.269871795; Sentiment_Subjectivity (from 0 to 1): 0.487606838 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Superb.  After having just come back from a trip to Spain, I can say this outfit definitely knows what they are doing.  It's on the pricey side for tapas for sure, but what they do, they do well.  The highlights were the squid and the goat, but there were a couple things that I thought were just okay, like the pumpkin croquettes.  Not quite 5 stars, but definitely worth a repeat.  A word of caution... we made reservations a month in advance and could only get a 9:45pm reservation for a party of 4 on a Friday.  So plan well in advance.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.328571429; Sentiment_Subjectivity (from 0 to 1): 0.56984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Eating here makes you feel like you've discovered a secret place.  It's tucked away in the basement of the building and you have to go down some ugly looking stairways to get there, but once you do, it opens into this beautiful underground space. It's izakaya style.  All the dishes were immaculately prepared and plated.  The highlights for me were the seaweed salad and the gindara.  They were excellent.  Some of the other dishes I didn't care for, like the Ebi Stick and the Maguro Yamakake... they were kind of plain. It might be harsh to give this just 3 stars, because there was a lot of good about this place... the atmosphere, the service, etc.  I love that the meal was well paced and we were able to dine and chat for a couple hrs without feeling rushed or waiting too long for food... but in the end, dishes matter.  I suppose if I went back I'd try other things.  Perhaps I just ordered wrong.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.105009921; Sentiment_Subjectivity (from 0 to 1): 0.613814484 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 initial take on this place is that they really haven't decided yet what they want to do with it.  It has a lot of potential.  It's a beautifully designed space... but it seems like a real waste to just be a little sandwich and pastry shop.  I'll reserve judgement and re-evaluate as they evolve.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.09375; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While my search for the perfect grilled chicken continues, I'm glad that I stumble upon places like Purbird along the way.  Charred just the right amount, and the white meat is still moist, which is hard to achieve in most grill joints.  So needless to say, the chicken was stellar.  The mashed potatoes were also awesome. The only thing I didn't really care for was the chicken burger.  It was okay, just not as good as the other stuff.  I like the fact that they use good meat.  People complain about the price but happy chickens ain't cheap.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.193764172; Sentiment_Subjectivity (from 0 to 1): 0.654875283 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 an _awesome_ vegetarian place.  When I lived over in the EV I used to love Curlys (closed sadly) and never though I'd find a place with as chill of a vibe and as good food.  The burger is amazing.  Get it.  The sweet potato fries are amazing.  Get it.  The hot dogs are only so so.  Optional.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.34; Sentiment_Subjectivity (from 0 to 1): 0.76 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 might just not be built for places like this anymore.  Too big, too loud, too crowded, bunch of drunk college kids.  Pass.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.133333333; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in here for lunch on a Sunday, frustrated by how many places we're closed.  It's times like this I missed the east village.  Anyways this place was okay.  Had the roasted chicken, ceviche, and some roasted veggies.  The ceviche was the standout dish, and the other stuff was okay.  A little pricey for what it was though.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.0265625; Sentiment_Subjectivity (from 0 to 1): 0.453125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, good atmosphere.  Had to wait almost an hour for one of the 4 small tables upstairs but I didn't mind the wait at all.  We ordered up some super spicy jerk wings and proceeded to chat up a storm with everyone around us, including the staff.  They were great, and it was awesome to see them cook up a storm in their tiny kitchen, and churn out beautiful and well plated caribbean dishes. Jerk wings - Awesome!  Hot! Calypso shrimp - Spectacular! Curry goat roti - Great! Fried plantains - I'm out of adjectives! Jerk chicken - Fell off the bone just like everyone said This place was the full experience.  Loved it.  Will def go back and consider for 5 star upgrade.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.477864583; Sentiment_Subjectivity (from 0 to 1): 0.707291667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I don't think I've ever done a 3rd update of a place but dinner #6 here now and this place just keeps surprising me every single time.  Truly one of the gems of Brooklyn and this is officially our "goto" place when we want to have a nice meal.  Last night it was the carrot salad and a new drink on the menu called the Selleck. Go.  Just go.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.227489177; Sentiment_Subjectivity (from 0 to 1): 0.372582973 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 joys of finding a place again.  When I had first moved to New York, I stumbled upon this place due to a blackboard eats deal.  Had a great time, really enjoyed the food and vowed to come back repeatedly, only to forget the name later on.  That was 2 years ago.  Off an on I would go to my wife and ask "Remember that place we went to....", and we thought it was lost to us.  Coming to loath and despise the West Village probably had something to do with why I forgot about it. Fast forward 2 yrs later and my co-worker is telling me about this great place Boqueria... IN the West Village.  I cringe.  Why do people keep insisting on going to this neighborhood?  But I relented, and as we walked in my eyes lit up as we realized "THIS IS THE PLACE!".  The tapas was still great, and the atmosphere was just as we remembered it.  Now I have a West Village sanctuary to propose for all my friends who insist on meeting up in this area.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.296780303; Sentiment_Subjectivity (from 0 to 1): 0.476073232 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: As I stood there, staring in despair at the "Closed for renovation" sign in front of Xi'an, my stomach rumbled "So what now, genius??"  As I lurched through the wilderness that is St Marks, blankly looking at restaurant sign after restaurant sign, I saw it... like a mirage in the desert "Five Tacos".  Yes please! This small unassuming setup in the midst of the craziness that is this street, is exactly what I needed.  I had 2 chicken tacos and layered on the jerk habanero sauce... good stuff.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.383333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let's build a pizza comparison case: 1.  Are they better than Dominos?  Definitely.  That's the bar.  You gotta at least be above the bar to make it in this neighborhood. 2.  Are they better than Giuseppina's?  No.  They make a similar style of pizza, but at Giuseppina's you get a few more options and a little more style. 3.  Are they better than Pauline & Sharon's?  Well it depends.  I apparently like my pizza with a touch of condescension and a dash of bad attitude, so I'd say no, but hey I appreciate that not everybody likes to feel scolded when buying their pizza, so if you're one of those people, then Table 87 is your solution. There are some serious Italians at this place... just call in and you'll see what I mean.  "Shure hun.  Okaayy hun."  Right outta Sopranos.  Love it.  Friendly staff and old school Italian style.  I've gone in here just to grab a slice, and also ordered a whole pie for takeout.  Getting a fresh pie is of course the way to go.  It looks like they have some nice seating in the back and some other good things on the menu besides pizza so I'll have to give those a try some day.  The calzones look delicious too. Also, don't forget the complimentary roasted garlic and the chili oil!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.172406463; Sentiment_Subjectivity (from 0 to 1): 0.467198129 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in here for a drink and bite before a show at Beacon Theater.  It has a very cozy atmosphere, with just the right amount of buzz.  We had a flatbread (which was quite large) and a salad... both good.  Overall, I like this place way better than Riposo 42, and I'd definitely stop in here again if I'm on the UWS.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.205714286; Sentiment_Subjectivity (from 0 to 1): 0.505612245 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Chicken curry soup!!  I used to have this all the time at a Vietnamese joint in Toronto 13 years ago, and could never find it anywhere else.  And now finally, after all this time, I have it again, readily accessible in Bay Ridge Chinatown.  Made me so happy I could cry.  I'll definitely be back here to sample more of the menu in this place.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.122916667; Sentiment_Subjectivity (from 0 to 1): 0.6375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 jury is out on this place.  I've had one Meh experience, and one good one.  I believe that by the laws of Yelp, that averages into an A-OK.  I just can't shake the feeling that given the myriad of brunch options in the neighborhood, I shouldn't have to feel like I was just robbed every time I pay for a meal.  It's a nice setting and all, but I'm not sure it's worth the price.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.647222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When someone says to you: "I don't really like coffee, but this, is good coffee", do you ever stop to think "well if you don't like coffee, how do you KNOW this is good coffee??" So heed this review in that light.  Because I really don't like Italian food, but man, this was good Italian food!  The grilled calamari is perhaps among the best I've ever had.  The arugula, lemon and red onions gave it a wonderful contrast.  For a main, I had the seafood risotto.  I've never liked risotto in any form but since it was talked up as THE dish to try at this restaurant, I did... and I was not disappointed.  It was fantastic. Loved the setting, loved the service, loved the ambiance.  It's a winner.  I believe I now have a go to Italian spot.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.402192982; Sentiment_Subjectivity (from 0 to 1): 0.493859649 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fine Little Collins!  You and your tiny little chic sandwiches have won me over.  It was the turkey confit that did it.  When I first had it I was like WTF.  I actually went back and ordered it again the very next day in order to confirm the deliciousness.  It was real.  God damn that is probably the best turkey sandwich I've ever had.  And the arugula salad with cranberries and crack laced dressing on the side is a winner too. Here's my sandwich ranking: 1.  The turkey confit 2.  The chicken schnitzel.  This was my previous fav before I discovered the turkey 3.  The avocado and 'shroom.  A great veg sandwich 4.  The salmon... just okay Best sandwich spot in the area... even if they are tiny.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.145772059; Sentiment_Subjectivity (from 0 to 1): 0.423529412 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Southern food meets Brooklyn chic.  I rue trips on the G train, so I decided on a 45 min walk, and what better way to reward such a trek than with fried chicken.   The place was bigger than I thought it would be.  It was intimately lit and on a cold winter night it was like stepping into a sanctuary.  We started with drinks and the fried green tomatoes.  They had the most artisanal ice cubes I've ever seen in a drink.  Mine had a frozen grapefruit.  The fried green tomatoes were amazing, not at all like any that I've had before.  We had the fried chicken, the whiting sandwich and a side of brussels sprouts.  The chicken was excellent as reported and though I would have preferred dark meat to white, the pieces I had were tender and juicy with a crispy and well seasoned skin.  The fish sandwich was okay, but nothing really stood out about it. Overall, a top 3 contender on the fried chicken list.  There are many other things on the menu I'd like to try (24 hr lamb??), and so I'll probably be back for more!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.065384615; Sentiment_Subjectivity (from 0 to 1): 0.504807692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 2 years ago, I'd probably have given this place 4 stars... however now that I've been exposed to the exploding Brooklyn taco scene, it's really only a 3... and not worth the price.  The tacos are on the small side, and over $4 each (over $5 if you add guac, which these days, as a condiment, is apparently laced with gold dust or something for the prices they charge). In the end, it's just okay... but given the other options around, I'd take a pass.  Check out 5 Tacos over on St Marks instead... much better value.  And then if you REALLY want good tacos, come to Brooklyn.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.158333333; 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: Maybe my expectations were just set too high, but I don't know about this "amazing fried chicken" thing.  I love fried chicken... But when I'm sitting there thinking about how it stacks up to Popeyes, then you know something it wrong.  It was fine, don't get me wrong... but def not what the hype makes it out to be.  So far the best fried chicken in Brooklyn is still from Sidecar.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.002121212; Sentiment_Subjectivity (from 0 to 1): 0.771818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I must not lead a very exciting life, because today, my life was altered by a banh mi.  Due to certain dietary restrictions, I've never been able to fully experience the banh mi (or so I've been told... "Oh well you HAVE to have the pork" or "Well no you have to it with pate", are the usual excuses I hear).  But no longer.  Today, I had the Chicken Fu from Ba Xuyen... and it was exquisite.  They nailed everything about the sandwich... from the perfectly toasted bread, to the loads of veggies, to the perfectly shredded and seasoned chicken.  I might have liked it a bit spicier, but I'm not complaining.  At $5, this huge sandwich is a steal. Added bonus points for really good milk teas.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.31994898; Sentiment_Subjectivity (from 0 to 1): 0.733673469 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 usually try to let a meal sit for a while before I tackle writing a review for it.  If it was really good OR really bad, I'll remember everything about it.  I went here last week and I can't remember a damned thing.  I remember it being a shorter wait than we were told, and I remember the staff being friendly and attentive, but other than that... *pooofffff*; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.057142857; Sentiment_Subjectivity (from 0 to 1): 0.479761905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Awesome Awesome!  This has got to be the best value/quality lunch meal in the area.  For $11-$12 (I know... probably a little expensive by some standards, but par for the course around this area), you get a dy-no-mite! lunch special.  I had a large and great salad, and the jerk chicken which was spot on.  I plan to come here again and again to sample the menu.  Can't wait to try the empanadas. The only bad incident was that one of my coworkers ordered the vegetarian option and then found meat in it.  They did the right thing and took it off our bill.  Kudos.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.272664835; Sentiment_Subjectivity (from 0 to 1): 0.723260073 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had very few positive experiences with savory crepes... there's always something off about them.  Crepes should be filled with nothing but ice cream, fruit and chocolate.  However, there were some damned good savory crepes here.  I had the coldwater shrimp and it was fantastic.  3 thumbs up.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.293454545; Sentiment_Subjectivity (from 0 to 1): 0.615090909 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 grow more and more impressed by this place each time I go in here.  The first time is was for breakfast pastries and bread.  They have amazing bread.  Their baguettes are perfect.  The second time it was for a lunch sandwich and a soup.  The sandwiches were great, but the soup was served, well, not hot.  Ding for that.  Then last night I went in for dinner for the first time.  Let me start a new paragraph here, because this experience was deserving enough for its own context. Wow... if this had been my first meal at this place, I might have given it 5 stars.  It was incredible, from the service right down to the food.  They started off by offering up some small savory pastries and fresh bread, playing to their bakery strengths... and very well done.  I wasn't wild about any of the cocktails on the list but the server was able to recommend something I liked.  For entrees we had the braised lamb and the ricotta ravioli.  It's hard to go wrong with braised lamb shank, but they knocked it out of the park.  Whatever those moroccan spices were, they hit the ratios perfectly.  And pasta always seems a little boring to me but this was well done too.  And all through this, the service was on point... friendly and attentive. This place has great overall value.  Dinner for 2: drinks + entrees + dessert = ~$80 (not including tip here).  That places like this are starting to open up in the neighborhood makes me feel good about the direction of Gowanus.  Between this place and Littleneck, I'm going to have some very hard dining decisions to make when I get to that intersection.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.252774078; Sentiment_Subjectivity (from 0 to 1): 0.591452529 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Have you ever gone out to one of those Korean joints in Flushing... the ones with the poppy techno music and lots of young load asian kids?  Well Song is the Brooklyn 80s pop middle aged white person version of that.  Just go in, take a seat at the bar and take it all in and you'll see what I mean.  It's not necessarily a bad thing.  In fact, I quite enjoyed my dinner there. The place was crowded on Friday night, so we had to wait for a table.  The bartender was nice, but he seemed a little overwhelmed having to work a crowd like that solo.  Once we were seated and I looked at the menu, I was pleasantly surprised to see how cheap the prices were, and even more surprised at how good the food was after it came!  While I'm not going to compare this to Sripraphai or Pok Pok.... it's a good go-to spot in Brooklyn.  Whatever that sauce was that came with the calamari, damn that was good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.254411765; Sentiment_Subjectivity (from 0 to 1): 0.538480392 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Don't waste your time on the fried chicken. That doesn't seem like the way one would start a 4 star review, but everything else about this restaurant was stellar.  The service and the staff were great... very accommodating of our, uh... "difficult" circumstances that night.  The restaurant ambiance is lively but not pretentious. We had a verity of dishes that were all excellent, except for the fried chicken which paled in comparison to the other dishes we had.  Not that it was bad, it was just a bit plain and not worth it when everything else was so good.  The Hake was especially good, and I found myself staring longingly at other tables who had ordered the lamb.  I need to learn to say No to fried chicken every now and then. Next time we go back, I'm having the lamb dammit.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.021103896; Sentiment_Subjectivity (from 0 to 1): 0.541190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 didn't believe the hype.  When I heard they were opening up I was like "What is all the fuss about?".  Now I know. First off, I'm not really a fan of American style BBQ.  I'm really not down with the whole "smokey" thing... just doesn't do it for me.  Secondly, for various reasons, I don't eat beef or pork... so that usually renders most BBQ places off limits for me.  However, the 20% of this menu that I COULD eat, has been amazing.  The wings... great.  The chicken sandwiches.... great.  The fried green tomatoes... the mac and cheese... the potato salad... great, great, great! There's a pretty long wait right now, so do yourself a fav... put your name in, go to the awesome Canal Bar around the corner for a drink while you wait, then come back and have... well... if you ask me... all the chicken.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.241890959; Sentiment_Subjectivity (from 0 to 1): 0.532953761 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 to admit, this is some pretty good pizza.  I wasn't sure about this place the first time I went in here.  The staff seemed a bit snooty, so that put me off, but the food was so good as was the setting, so I went back again and it was okay.  So not sure what the attitude was about the first time.  Good for groups, great outdoor seating, and great pizza.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.603703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tried the lamb and the chicken banh mi.  It was pretty good, but not as spectacular as everyone makes it out to be.  The buns were well toasted and the lamb was a good unique flavor in banh mi, but its no Nicky's.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.3375; Sentiment_Subjectivity (from 0 to 1): 0.841666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 solid neighborhood restaurant.  On the menu for us were the squash perogis, the chicken paprikas and the duck.  All excellent.  It was the perfect winter meal.  The restaurant had nice ambiance and a friendly staff.  I'd go back again in a heartbeat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.339285714; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Didn't quite know what to make of this place when we stepping in.  The walls were painted in a weird greenish color (maybe it was the lighting), nut somehow didn't seem quite suited to the space.  It's small... when we walked in I felt like everyone stopped eating for a moment to watch.  I've heard that more than a few famous people have eating here so maybe everyone keeps expecting a celeb to walk in at some point and they'll be seated next to them. Foodwise it was pretty good.  I had a lamb entree which seemed to be prepared tagine style.  It was a tad tough but still very flavorful.  We also had the halibut which was excellent!  The service was good too and the price was not so unreasonable for a high end joint.  I'd go back.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.190793651; Sentiment_Subjectivity (from 0 to 1): 0.562380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm always skeptical of places in this neighborhood, but I have to say this was a good one.  It's on the fancier side of Mexican, but they do it well.  I had their tacos and they were amazing... definitely the best fish tacos I've ever had in NYC.  I'd definitely go back here if I was in the neighborhood.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.257142857; 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: I think I spent half my evening there trying to figure out if the host(ess) was a man trying to look like a woman, or a woman trying to look like a man.  Gender ambiguity aside, I'm glad that after months of walking by this place, I finally stopped in for dinner.  The food was good and reasonably priced, and the atmosphere was very laid back.  This is a good neighborhood place to relax and have a reasonable dinner and drinks with friends.  The seafood stew hit the spot.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.223333333; 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: At first I wasn't going to do a review of this place seeing as I'm not a burger eater and I stick to veggie and turkey burgers.  However many people are raving about the turkey burger so now I feel somewhat entitled to an opinion.  And that opinion is that it's just okay.  No complaints really, but I get the same quality out of the turkey burger at goodburger... and the fries are better there too.  I'd go back to this place for sure... but only because it's one of those neutral low key no fuss spots you'd go to to hang out with people.  They had great drinks and a nice atmosphere and good prices.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.549801587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: These guys seem to change their name a lot so I'll give them a new review under the new name!  Still great pizza... some of the most unique toppings you can find in a to-go pizza place.  But what brings this up to 4 stars (I'd previously given them 3), are the new little service touches... a nice box instead of the plate/bag... cutting the slices in half (slices are big).  Little things make the difference.  Keep it up!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.104844114; Sentiment_Subjectivity (from 0 to 1): 0.534382284 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There are perhaps 2 schools of thought when it comes to the process of eating: 1.  Those who slowly savor each and every tiny little bite. 2.  Those who try to jam as much food into their mouth as possible so that their tastebuds are overwhelmed with flavor.  (This is also, coincidentally, a similar trait to that found in crack addicts) I am definitely of the latter school (uhh... not the crack addict part of course *cough cough*).  People often find it embarrassing to sit next to me at a meal... especially at a nice restaurant.  So with that context in mind, let me just say that any meal that can take 3 hrs and not have me feel impatient or bored in between, is a meal deserving of 5 stars.  That meal, was the tasting menu at Dover. 7 courses... SEVEN!  With like a million little things in between!  It is definitely a good value for the price, the time and the quality.  Pictures tell a thousand words, but the standout dishes for me were the scallops and the lamb (a substitute that the staff graciously made). I'm glad that this extension of Battersby is living up to the reputation of its beginnings.  It may not have the same intimate atmosphere, but the friendliness of the staff, and the care with which you are served, are impeccable.  The meal was perfectly paced, and it felt like something special. And now I can make reservations online... there goes my bank account.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.194784903; Sentiment_Subjectivity (from 0 to 1): 0.606655844 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really don't get it.  It's a nice location with good outdoor seating, but really just mediocre food.  Points for ambiance and setting only.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>