Datasets:

syannn

/

spammer

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seriously Amazing. Honestly it seems as if people just don't get it these days - food is just not as good as it should be - but here, here THEY JUST GET IT. the chef is AMAZING - she cooked everything made to order herself and you can taste the goodness. Each day the menu evolves as each day she would get new food from the farmers market and create the menu based on the fresh order. Its a small personal place and the waitress is friendly and very great with helping you order. I love to go in and try EVERYTHING that is how AMAZING this place is. We frequent it often just because it doesn't get any better than this. I love Petit Oven.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.417424242; Sentiment_Subjectivity (from 0 to 1): 0.621969697 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Margherita pizza I've tasted ever, anywhere.  The crust is thin and oven crisp, the mozzarella is fresh and delicious, and there are fresh basil leaves baked right on top.  Too delicious!  Fast local delivery too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.403246753; Sentiment_Subjectivity (from 0 to 1): 0.563852814 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The menu is basic and the same all day long, but the food is quite good and so is the service. Still, the draw here is the space itself, which is absolutely beautifully designed and enormous. It's on the same block as The Bell House, so hopefully people will find out about it that way. Otherwise I worry that it's off the beaten path and no one knows it's there. It's enormous so needs to really draw crowds for it to operate in the black, I would imagine. The major limitation at this point is the menu, which is rather limited and I hope that eventually they expand. But by all means GO and bring your friends! Spread the word! Gowanus really needs places like this to succeed. Bahche management, if you are reading this, please advertise and make your presence known.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.129555861; Sentiment_Subjectivity (from 0 to 1): 0.43470696 [/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: Wow!!!! I was thoroughly surprised about this restaurant. The Penne a la Vodka was out of this world. I hear they have another restaurant in Bay Ridge. Wish there was one on every corner.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.172070313; Sentiment_Subjectivity (from 0 to 1): 0.95 [/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: Excellent pizza, really friendly neighborhood place. Very generous portions for salad and pasta too -- and never a long wait for a table.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such lovely food, so fresh, so scrumptious!  The pasta, the roasted chicken...unexpectedly the mashed potatoes --- maybe the best I've ever eaten. And - such hospitality!  Cozy, beautiful bar, great for a date or a quiet night out with girlfriends.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.369444444; Sentiment_Subjectivity (from 0 to 1): 0.598148148 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ate here last night, was able to get seated around 7pm immediately (there were 4 of us). I had a cappuccino with whipped cream and cinnamon which was delicious and warmed me up right away. The pizza was delicious as well! I forget the names, but I ordered a pizza with mushrooms, olives, ham, and artichokes - YUM! The crust was crunchy and I loved how I could really taste the smokey-ness from the brick oven. Would definitely come back/order takeout from them again!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.460714286; Sentiment_Subjectivity (from 0 to 1): 0.590922619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious food and great customer service! Will definitely return. We love getting the margarita pie with pepperoni and the kids love the penne vodka with chicken. Love this place. Top pizza joint in NYC.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.6875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, not great. The pizza chef that deigns to use canned mushrooms commits the pinnacle of pizza heresy. Especially at $24.95 for a small (enough for two and leftovers), I expect someone to forage for even the most basic button 'shroom. Mellow about mushrooms, I am not. Other tasting notes: great crust, sauce on the watery side, quality sausage; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.156944444; Sentiment_Subjectivity (from 0 to 1): 0.555555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderfully authentic brick oven pizza. Nothing pretentious about this place. Great pizza, great staff, great experience. I wish more places got it like this place gets it. Best pizza in the neighborhood, but would be worth going the extra mile to get here if I didn't leave here.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.488888889; Sentiment_Subjectivity (from 0 to 1): 0.522222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We get plain pizza most of the time, half with pepperoni. My wife is very picky when it comes to pizza and she's obsessed with how great a pie is. I'm also really into their eggplant rolls - probably the best I've ever had. If the pricing scares you away, I suggest making the splurge. Totally worth it.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.235449735; Sentiment_Subjectivity (from 0 to 1): 0.408201058 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Jane, for me, is consistently a good spot. I've been for brunch and dinner, and always find something yummy. The atmosphere is great and the service is great - though at times a bit upsell-y. I'm never blown away there, but it's an accommodating place with something for everyone, even vegetarians.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.766666667; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was a super dope place. Me and the wife came here for food and drinks, to explore the neighborhood, and it was an awesome spot. Quiet, candlelit, different seating options. Great ambience. The food has a base of good with some dishes that were really terrific (cauliflower soup, artichoke and manchego crostini). We had delicious cocktails made well. I would say the bill ended up being just a bit more than we wanted to pay - but it was a good splurge for a Friday night date.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.384848485; Sentiment_Subjectivity (from 0 to 1): 0.731818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: LOVE this place - great ambience, great food with options for vegetarians, and awesome service for a very fair price. I love how it's tucked into the neighborhood and has what feels like such a local crowd. If it had any downsides, it might be that the service is a little slow - but we so far haven't had a problem just sitting and enjoying this restaurant for a little longer.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.341153846; Sentiment_Subjectivity (from 0 to 1): 0.630769231 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 at first sight! What a simple, gorgeous restaurant, with terrific music and lighting. The service was amazing. But I saved the best for last - delicious food! We went for their Monday night dinner - three courses for $28 - and loved it all: salad, soup, linguine, chicken and waffles, and the super delish pot du creme and pecan sundae. We plan to go back, like, all the time. Life hack: show up right when they open. No wait!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.322103175; Sentiment_Subjectivity (from 0 to 1): 0.593968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was exactly as good as the Yelp reviews promised. I had a lobster roll, fries, and a Key Lime Pie. It was a couple of months ago, but I can still taste how awesome it was.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.566666667; Sentiment_Subjectivity (from 0 to 1): 0.866666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 often in this hood, but I loved this place and would definitely go back. The food was great, the ambience was cool, the service very attentive, and it was not so expensive. Only downside:  they had a big party coming in and definitely let us know, implicitly and finally explicitly, that they needed the table back. Fair enough, we definitely sat for awhile. But that was it! Otherwise it was a great experience.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.224666667; Sentiment_Subjectivity (from 0 to 1): 0.61 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 place! The happy hour is great - love the veg nachos and cucumber margaritas - and the atmosphere is terrific, quiet without being reverentially so. Will definitely go back when in the area.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.442857143; Sentiment_Subjectivity (from 0 to 1): 0.669047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I recently came for brunch and was impressed by the variety of dishes available. I had grits, eggs, cheese, and scallions. Delish. My friend and I split dessert, a chocolate brioche thing with caramel ice cream. Preeeetty good. For me, there were a couple of notes: there was a strange mix of music - Eminem, Nelly's "Hot in Here." Not saying this is a bad thing, but it wasn't the usual brunch atmosphere because of it. I also had a somewhat lackluster mimosa.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.16875; Sentiment_Subjectivity (from 0 to 1): 0.520833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: applewood was fantastic for dinner. The decor is gorgeous and simple, the service was terrific. They had great booze (bourbon for me, red wine for the wife). The food of course is the point of all of this, and it was amazing: parsnip soup, bluefish, pork, and a pumpkin pie with thyme ice cream. Everything was delicious. Definitely my favorite place in the Slope!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.458333333; Sentiment_Subjectivity (from 0 to 1): 0.756349206 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'd noticed this addition to the neighborhood and was eager to give it a spin. We went for brunch and sat out back. The outside seating is quite lovely with a good mix of shady and sunny spots. The picnic tables work okay, but I would've preferred a more comfortable set up. The food was dope! I had eggs on toast with cheese and... something sweet. The unexpected combination was delicious. The portion was small but adequate. I also had a great iced coffee. I'd happily return for another breakfast or give dinner a try.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.372222222; Sentiment_Subjectivity (from 0 to 1): 0.597222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We love this pizza! Always delicious!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.8125; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The Diavola pizza was absolutely amazing and the service superb. I will definitely make this my new local regular pizza spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.289393939; Sentiment_Subjectivity (from 0 to 1): 0.488578089 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best pizza I have ever had. Excellent service and great ambiance. I would reccomend this for everyone, especially couples. We made reservations on a Saturday and were seated upon arrival without any wait.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Excellent burgers. I had the Hatch burger and my date had the truffle burger. The truffle burger was very salty. Not sure if that is normally how they make it or just this one happened to be too salty. The atmosphere could have been a little better. Great service and we didn't wait long to be seated.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2703125; Sentiment_Subjectivity (from 0 to 1): 0.623611111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Much needed review, this place is another awesome brick oven pizza place, good for a couple, or a sunday treat..fresh, yummy and  the food presentation is classy ,service good,would recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.675 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: great diner.. food is real tasty"; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yelp did not lead me astray on this recommendation. The small pizza is huge. We did ours half and half - prosciutto & the blanca. Both were so good and totally what you want when you think NY pizza.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.086111111; Sentiment_Subjectivity (from 0 to 1): 0.497222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 was excellent. Perfectly cooked medium rare steak. So good! The cocktails might seem expensive, but they are definitely a heavy pour. The service was top notch. I would definitely come back here again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.330555556; 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: Came up to Brooklyn for the day to see a show, afterwards I just wanted somewhere quick, not too crowded, and that had beer available. Used Yelp to find this pizza joint. When we got there we ordered a round of drinks and a large Diavola. Took less than fifteen minutes for the pie to come out.  The pie itself was awesome, I didn't want to stop eating it. I was actually almost tempted to order another pie to take home! The staff also was quick and really friendly. Thumbs up to Peppino's!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.264781746; Sentiment_Subjectivity (from 0 to 1): 0.432804233 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place serves the best good basic pizza in Park Slope. If you want a fancy pizza, go to Franny's but if you want good solid basic pizza, Peppino's is where you want to be.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.308333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Impressive dinner! Their herb focaccia served with homemade creamy ricotta alone is worth visiting this amazing restaurant.   We walked in at 7pm on Friday night and were told by our friendly hostess that the wait would be 2 hours for our table.  Don't get there too late...the place was packed the entire night! Our favorite dishes were Roasted Asparagus with Poached Egg and Morels, Homemade Buratta Agnolotti and Chatham Cod. Everything was fresh and full of complex layers of flavor. Delicious!!!! We finished our dinner with an amazing banana and lemon tart and olive oil cake....makes me want to drool just thinking about it! Outstanding service and cozy atmosphere. Cannot wait to go back!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.369642857; 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: WOW.  We looked at restaurants on our GPS under Italian and this came up.  Walked in the smell would bring you to your knees.  PLUS they were playing Italian Opera. My boss said if it is half as good as it smells we are in for a treat.  Well it was better than that.  My boss is a pro with Philly steaks and Philly Hoagies and he had one that he said was a HOMERUN!  One of the best he has had. Italian food is my most favorite and I had Penne Alla Boscaiola.   OUT OF THIS WORLD.  I have eaten in the "little Italy's" in Boston, New York, Scotland, San Francisco, Minneapolis MN to name a few.  The food quality was 5 Diamonds that all I can say.  I will make plans whenever I am NEAR this place to go in and try other items.  Our tiny waitress with her cool black glasses (Tanya???) I do not remember was personable and just so funny about her restaurant. Try it you cannot lose!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.183054226; Sentiment_Subjectivity (from 0 to 1): 0.446291866 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow!   Everything everyone wrote about!  A MUST show if you are in NYC Queens! There is nothing I can add it except it was as good as advertised.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.44765625; 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: I've never eaten at their storefront but I have ordered from them a lot and still do if I'm  in the area. I'm not a big fan of brick oven pizza and never really had theirs so I can't really comment on the pizza but everything else they make from their heroes and rolls to the their pastas and salads are all on point. Their Philly cheese steaks are a bit salty but still among the  best I've ever had in Brooklyn.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.275; Sentiment_Subjectivity (from 0 to 1): 0.2 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Make a reservation! This location is a bit smaller than the one I usually go to by Cooper Square but everything else about is just as good. Friendly and professional staff and great food.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2875; 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: I wish I could give this 3.5 stars, but I don't think it deserves 4. Good if not too acidic pizza. Everything else a little too rough around the edges. Very nice and attentive staff, they were very accommodating when we asked to exchange our dessert which was inedible (old and freezer burnt tasting amaretto ice cream).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.270357143; Sentiment_Subjectivity (from 0 to 1): 0.557142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The fried pork chop with waffles alone is worth the one hour-wait you'll have ahead of you once you put your name down! (Too bad they don't take reservations). Add to that the almonds with bacon and that's one of the best meals in Brooklyn. Great service too! For such crowded place though, having only one bathroom was a pain and there was a long line the whole time we were there. We were 4 people and paid around $30/person (tax/tip included). I wanna go back right now!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.173881674; Sentiment_Subjectivity (from 0 to 1): 0.449206349 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite restaurants! I've been coming to this place for over 13 years and the quality holds up. Great food and service. I particularly love the bone marrow appetizer and the fried chicken. And their chocolate chip bread pudding is the best dessert I've ever had in NYC.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.465; Sentiment_Subjectivity (from 0 to 1): 0.72 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Totally overrated! The wait is ridiculous and I hate that I have to be walking around the tables hoping people are friggin' done. The quality of the meats is great, but I don't think the seasoning is anything special and the BBQ sauce tastes like Ketchup. I have gone with people that love it though (including Texans) so it's one of those places that you either love or hate.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.02797619; Sentiment_Subjectivity (from 0 to 1): 0.758928571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 1 start review is solely based on the delivery and customer service experience I just had with this place. Their food is really good so I would suggest going to another of their locations and check it out. I placed an order on their website which said it would take about 45 minutes to deliver. After I waited 1.5 hours I called them to see what was going on. They put me on hold a couple of times to look into it and let me know I should get my food in 8-10 minutes. After another half hour I called again and after talking to 3 people, being put on hold for large periods of time, my order was nowhere to be found. The whole thing lasted 2.5 hours and was extremely frustrating. I am not planning to order from this place ever again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.10952381; Sentiment_Subjectivity (from 0 to 1): 0.499047619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing brick oven pizza!! My gf & I tried it for the first time tonight and were blown away!! Definitely coming here again.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.442708333; Sentiment_Subjectivity (from 0 to 1): 0.577777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took my girlfriend here for Valentine's Day and it was an absolutely awesome experience. From the moment we walked in it was just great service. We arrived 20 minutes early. The owner greeted us and told us he would seat us shortly. Then he offered to take the roses I gave my gf and put them in a cooler in the back. We were seated within minutes. The atmosphere there is very laid back. There were people seated at every table and the tables were right next to each other but the crowd was very calm and cool. Our waiter came over a little after we were seated. We started by ordering a bottle of Rose Sparkling Wine (a Valentine's Day special) which was excellent for being smooth, tasty & strong. For appetizers we ordered Melanzane Rollatini which was OMG to die for & a Tortelloni Con Brodo which was a soup unlike anything I've ever tried before; it was really good. For the entree we both ordered another Valentine's Day special, we had Chilean Sea Bass. I couldn't believe how good this was, my taste buds melted. It was absolutely delicious, served with spinach & potato. For my 1st time trying this, it's a meal I won't forget. For desert we had Tiramisu which was very delicious as well. They serve it cool, creamy and light. Great way to finish our seating. Dining at Bistango was an absolute delight and this is a restaurant we are going to frequent in the future. The service was on point the whole night, prices were very reasonable and the food was amazing. That is why I give this restaurant 5 stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.36729798; Sentiment_Subjectivity (from 0 to 1): 0.582330447 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been here 100 times and it's always been delicious. I'm pretty sure I've tried everything on their menu and it's consistently good. I've been here for lunch, dinner, and events and the staff never disappoints me. If you go make sure you try their margherita pie and one of their cheese steak specials. You will be glad you did. Oh and just a random addition: I'm COMPLETELY obsessed with their muscles in red sauce. I get a tray every year for Christmas Eve and my family goes nuts over it!; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.272222222; Sentiment_Subjectivity (from 0 to 1): 0.764197531 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is a SOLID after-drinks spot or great place to go if you just want a quick bite and good food.  They have beer on tap and a great variety of (delicious!) sauces to compliment the food.  The butternut squash taco is probably the best veggie taco I've had in the city. Friendly staff too! Keep in mind the place is small so I would suggest going with a small group.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.460208333; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The perfect place to have a low-key brunch with drinks.  Hot artichoke dip with crisp bread = incredible.  Everything is good here.  I love the servers and the wall décor.  They make a good bloody mary and their roast pork sandwich with pickled zucchini & garlic mayo is SO good.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.466666667; Sentiment_Subjectivity (from 0 to 1): 0.718518519 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of my favorite winter dinner spots when I'm in the area. Everything is good and the open kitchen makes for an interesting, fun view. All their pastas are housemade, my favorite being the pappardelle with braised lamb. Their meatballs are a cult classic too. I usually get those 2 with a carafe of their house red wine. So good.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.311666667; Sentiment_Subjectivity (from 0 to 1): 0.481666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nobody does it like Mark Iacono and his team.  This is my favorite pizza in all of NYC.  The menu is minimal and that's because you only need three things in life: 1.  Their pizza 2.  Their calzone 3.  Their nutella pizza for desert. AND, its BYOB.  It gets no better.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.0375; Sentiment_Subjectivity (from 0 to 1): 0.775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Been to this place a bunch of times- both for dinner and as an after-drinks meal later at night. The staff is always good and their food is CONSISTENT. I like to pair the kitchen sink salad with spicy pork+ spicy meat sauce and some mashed potatoes.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.316666667; Sentiment_Subjectivity (from 0 to 1): 0.283333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ohhhh, bogota!  This is my go-to whenever I'm in park slope.  It's just ALWAYS good and the atmosphere is welcoming and fun.  I definitely consider myself a regular here and the main reason is because I think I'm addicted to their homemade Columbian aji sauce. They sell it to take home but I wont buy it because I just love coming back to this place. - Caipirinhas and coconut mojitos are great drink choices. -  Goat cheese empanada's are delish as are all their arepas -  My favorite things to order here are there cubano sandwich, the fish tacos and the pernil.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.256666667; Sentiment_Subjectivity (from 0 to 1): 0.466025641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best greek food I've had in manhattan. Their grilled octopus is just incredible. I can't wait to go back; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.3 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Looking forward to being back.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The pizza with prosciutto and arugula was delicious.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy spot with good house wine available carafe style, if you like.  I really enjoyed their bloody mary mussels, which is basically mussels in a spicy blood mary sauce.  If you like mussels and enjoy the taste of spicy blood Mary's - its a must try! One of the most interesting dishes I've had in a while.  What I didn't like was how quickly they spaced our appetizers and entrees together.  We were JUST served two appetizers and a minute later they brought our entrees to the table.  There needs to be some regulating for this.  It was a sunday evening and it wasn't very busy, so there's no excuse. The food was good, but we really would have had a better experience if we didn't feel that we were rushed.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.265888889; Sentiment_Subjectivity (from 0 to 1): 0.472666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious food, great Lambrusco (if you are into that) and a beautiful back patio - it's a no fail. I will definitely be back.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.508333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dreaaaaaam about their Iksander Kebob.  The way the toasted bread soaks up the sauce juices and the way the garlic sauce compliments the lamb- TOO GOOD. But that's about the only stand-out (I've tried most of their menu) and this place is always mobbed/ the service is slow, so I call ahead and pick up my order to go.  It's an easy way to beat the chaos, I get my Iksander, and no one gets hurt.; Max_Daily_Reviews: 10; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There are a bunch of Italian restaurants in Park Slope.  I honestly like to avoid them because of the carbs, so coming here was just out of spontaneity.  My mate had the garlic bread - even though there was already complimentary (nice and warm!) bread.  Pizza dough slices were nice and toasty - though could use a touch more garlic.  The sausage pasta alfredo was super yummy - though it sort of turns a bit into a greasy mess the next day (leftovers).  Would be back if I ever have a carb hankering.  Winter would be nice - as the oven is right next to the bathroom, super toasty!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.320714286; Sentiment_Subjectivity (from 0 to 1): 0.502936508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Decided to meet someone here for Brunch since it's in midtown and she's from some place north of the Bronx and I'm in Brooklyn.  Good enough reason to finally take this off my bookmark for the longest time.  First off, there is no list of names for brunch.  You wait in line.  Old School.  We arrived around 11:30, and the wait was approximately 15min for the two of us.  Not too bad I guess. The food.  Awesome.  Soup of the Day was Cauliflower and it was real nice and clean.  Sourdough bread and salty butter (though a lil too hard) was nice.  One look at the menu (and it's prices) you know you're going to have a great meal.  I was actually a little embarrassed to admit these prices were lower than that of my neighborhood of Park Slope.  My Nook eggs with Smoked Sausage (didn't know it was blended together, which was a neat change of pace) was great - though the "home fries" were just mashed potato.  Weird.  Friend's French toast isn't very memorable but the tart Raspberry sauce on the side makes it a little interesting.  Another slight gripe would be that the waiter forgot my coffee. Will definitely be back to try dinner service.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.192424242; Sentiment_Subjectivity (from 0 to 1): 0.604924242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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.  The place reminds me of Eataly, only a mini version and Spanish.  Bought their stick of salami and it did't really wow me.  Prices are high, but I suppose if you want a taste of Spain (though a lot of their product seems to be made in the USA), come check it out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.065; Sentiment_Subjectivity (from 0 to 1): 0.635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 date recommended we go here for dinner and my oh my what an awesome way to introduce me to the world of delicious ramen.  You see, coming from a Cantonese background a friend of mine pointed out that us Cantonese folk has always focused on the noodle itself when we're talking about noodle soup, ie how chewy egg noodles are in a wonton noodle soup.  We're not really programmed to actually drink the soup as our ancestors merely added sodium and msg. Japanese ramen, Vietnamese and Korean soup noodles however do in fact pays a closer mind to soup base and Totto Ramen sure made a fan out of me.  It's thick but not too thick, salty but not like in your face salty but salt from the marinated roast pork, and rich but not too rich.  FInished half a bowl of the soup and definitely wanting me to try out more ramen - the way it's meant to be had.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.105555556; Sentiment_Subjectivity (from 0 to 1): 0.553703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wasn't hungry when I arrived so I had simply ordered an appetizer.  We went all family style and before I knew it, I was devouring everything up.  The green sauce is scary good and the chicken is cooked to perfection: meat off the bone good.  The seafood salad, fried bananas, sweet potato thingy were all good as well. The staff is very attentive and they even have a coat check to keep your umbrella off their velvet? lined bench style seating downstairs.  My friends enjoyed the decor however I felt like a caged chicken.  Gonna be back but next time, I'm staying upstairs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.120769231; Sentiment_Subjectivity (from 0 to 1): 0.592857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 new go-to brunch spot.  At $11-$14 a plate w/ coffee and juice it was a really tasty experience.  Salmon omelette, blood sausage -yum. FYI, if you want bacon on the side - it's two thick cut pieces that look a lot like pork belly and there's nothin wrong with that.  My only gripe is that the service was a little slow.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.135876623; Sentiment_Subjectivity (from 0 to 1): 0.561363636 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 very hestitant about coming here for Sunday brunch, but fellow Yalper Elaine M. INSISTED on going here.  After an hour and ten minute wait (orignally arrived at 11:30), we quickly ordered as I had a 2pm doctor's appointment. She had banana walnut pancakes and I had the biscuit sandwich with bacon.  I would've had the eggs benedict instead, but I was in a hurry.  They syrup was whipped with butter - not the most original technique but still very tasty.  Pancake was fluffy.  My buttermilk biscuit was off the hook, but the spaghetti sauce on it was a turn off.  The $2.50 extra for two slices of not-so-special bacon boggled my mind. If you're in the neighborhood and there isn't a line come on in.  Otherwise go somewhere else as CSB is one of those restaurants you'd enjoy - but not necessarily want to come back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.164393939; Sentiment_Subjectivity (from 0 to 1): 0.395454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 mystery of Himalayan food solved!  Well, sort of.  We're guessing when this restaurant opened Yak was more readily available but unfortunately it's a seasonal ingredient as we didn't get any.  What I appreciated most were the video screens on the wall explaining what Himalayan culture was all about, the cool copper lined water cups (though they were not very well cleaned inside), and the decent service.  The tasted basically like Chinese food in general so if you're Chinese like me and expect something that's wow that's so different you're not really gonna get that.  Nevertheless it's good.  The momo's (dumplings) I found a bit dry so I guess the beef was lean or perhaps it was actually a little overcooked as we waited a while for those.  I'll certainly come back for their lunch buffet and hope there's of the 'exotic' stuff like the buffalo and yak.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136339286; Sentiment_Subjectivity (from 0 to 1): 0.484404762 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 House of Yasuda vs The A Train The servers are the epitomy of politeness.  I have no manners. The King Salmon gave me pause with it's delicate texture and buttery finish.  Owns any salmon I've ever bought. Their toilet tissue.  Softer and firmer than any brand I've ever bought from anywhere. The end of the night, I had to refrain from asking the next table "Are you gonna finish that?" two pieces of nigiri.  I'm glad nobody reads my reviews as they'd quickly find out how much ghetto-ness I have in my closet.  Women would find I have no manners, my salmon sashimi is weaksauce, and I have shitty toilet paper in my bathroom.  *sad face*; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.020833333; 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: Brunch with the dynamic duo Tom and Trishy-pants.  (You can add y-pants to anything to make it sound cute).  Anyhow while I thinK Tom has heard of this place it was completely new to me.  Alley way egress.  Rustic.  Dead animals on wooden walls.  Haunted house.  Damn good last meal.  Come back.  With a date.  (You'll get +5 cool points).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188636364; Sentiment_Subjectivity (from 0 to 1): 0.373787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 true foodie knows if given a choice between a restaurant with many choices on their menu vs. a restaurant with only a few, s/he'd tell you to go with the few.  As the name would imply, Get Fresh serves up the freshest food. I finally came into this place for brunch over the weekend after passing it by so many times.  I thought it awkward for this place to sell groceries while trying to have a restaurant.  It looks like they've wisely stopped selling the groceries and perhaps they can get rid of the equipment in the front to afford more seating as the restaurant draws a good brunch crowd.  Also, some of the tables in the front are a bit dainty - a Paris like feel. I stared at the menu drawing a complete blank as first of all, I don't typically do brunch.  Face it, brunch is a chick thing.  Next was the ingredients in some of the dishes as a lot of it is pretty healthy as it mixes fruit and veggies a lot into your eggs.  This ain't McD's! All in all it was pretty tasty but for some reason I didn't enjoy the consistency of the meal in terms of what-gets-me-full.  My friend has some scrambled eggs on a pretty dense raisin bread while my Huervos Rancheros was topped with baked beans.  Obviously it's the bread and beans that gets ya full but for some reason it didn't sit well with me. Not really sure I'd come back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.204012346; Sentiment_Subjectivity (from 0 to 1): 0.574897119 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best Cuban restaurants I've ever been to.  Why, I had to google two words from the menu and when I have to google something, it's usually very tasty and something exotic: ethnic/ authentic.  Salmon entree was amazing and I have to learn how to make chocolate-chipotle sauce for my wings. Understandably, the executive chef was probably at the Plate by Plate charity event and therefore the plates coming out of the kitchen wasn't very fast, and half the dessert menu was not available it's great to know that the restaurant (other chefs) can still pull off a great meal.  The free sponge cake for the birthday girl was also a very very tasty surprise.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.371410256; Sentiment_Subjectivity (from 0 to 1): 0.589358974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Bonnie's Grill had been on my list of places to try in my hood for a long time now and I'm glad I did for my birthday.  Hands down the best wings I've had.  Hands down the best burgers I've had - beating Corner Burger and Press 195.  Greatest value in the hood as well since the burgers come with a choice in sides: the spicy cole slaw and fries are perfect. The only dessert on their menu is a chocolate caramel brownie which is actually nice, but it could be served warm with ice cream as opposed to whip cream.  However it's nice that "diners" such as Bonnie's know that it doesn't take that much to kick "regular" food up a notch with nice plating, ginormous servings, and tons of different condiments on your table like a Thai monkey sauce and a wacky clear hot sauce that was pretty good in my Diet Pepsi. If you have a thick skin and you know you're gonna take a shower when you get home, feel free to sit at the bar cuz the grill can get a bit greasy.  Seating somewhat limited so a party of 6 should go somewhere else.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327594628; Sentiment_Subjectivity (from 0 to 1): 0.607918897 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Party of 6 came here for lunch on Sunday.  All but one of us ordered a pasta dish and the other had an omelette platter.  It looked awesome but we came to try the Italian fare since it's known for it.  The Spinach Gnocci was indeed divine, but we all agreed it's quite heavy, as was my pasta ragu.  Therefore all the pasta dishes were all too carby - little or no meat at all for $13-14. My biggest gripe was the service.  It was a bit slow and they were really big on pushing us appetizers and desserts.  Water glasses had no ice.  In the end we got hit with a 20% tip, which was the first time I have ever seen on a bill.  Cash only probably means one thing in here...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.048611111; Sentiment_Subjectivity (from 0 to 1): 0.467592593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: mmmm Porky-goodness.  Honestly yeah - skip anything else on the menu that's not pork.  Out steak entrees were well done, but I guess that's just how Filipino's cook them.  Fried milk fish was just fried and sort of bland.  But everything else pork?  Awesome.  The pork buns were a bit pricey at $8, but everything else cost wise was pretty fair.  Pork belly all the way - and the congee was also pretty good.  Very nice smokey garlic/ ginger flavor.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.534814815; Sentiment_Subjectivity (from 0 to 1): 0.903703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hands down the Best beef stew in Chinatown.  The best Jerry, the best! The crazy cats are all in Hawaiin shirts while the quieter Noodle master does his thing, cooking our egg noodles to perfection.  Their wontons themselves are pretty good however their broth is kind of bland and I prefer Big Wong's across the street, simply because it's just got a little more sodium.  heh My favorite thing has always been the beef stew over broad yellow noodle, soup on the side, veggies.  Damn, talkin about it right now makes me wanna go to Chinatown!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.285877684; Sentiment_Subjectivity (from 0 to 1): 0.513387021 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you're a fan of hot pot or never tried it before, this popular Korean spot is not a bad place to try it.  Our birthday party of 7 celebrated over the beef and seafood hot pot, dumplings, and a seafood pancake.  First off, it was sort of a weird experience.  There's a hole in our table which I imagine a waste basket goes on the bottom.  And you use the button on the table to call for service. So the food.  The fried eggs were interesting - a waitress started frying it and we never saw her again for the rest of the evening.  Could have cooked it ourselves, but that's what hot pot is about - cooking it yourself.  Had some seasoned salt in it which was nice.  The seafood pancake was delish as was the sauce.  The spicy rice cake and ham was really spicy which is great to have around.  And now the giant hot pot: had beef, enoki mushrooms, a white mushroom, watercress, mussels, cherrystone clams, baby octopus, a live octopus, rice noodles, bean sprouts, a live abalone, conch, snails in shell, shrimp, and cabbage in a mildly spicy broth.  My favorite things were the the live octopus, abalone, and snails.  Since it's a hot pot, like Szechaun everything tastes the same after a while it's all about textures and I particularly enjoy the squishiness.  Will definitely be back to try the octopus LIVE instead of letting it boil and skip the dumplings as it was mostly skin.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240313853; Sentiment_Subjectivity (from 0 to 1): 0.579464286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So it seems to me some of my Yelp friends are spoiled lil brats who doesn't seem to recognize what a hole in the wall place is.  A hole in the wall means the following: -Poor service: no tea or water unless you ask for it -Not very clean tables or restrooms -It's small -It's cheap -It's difficult to find -They might not even speak English -The food (or drinks) is damn good Do you want to see what happens to a place on the outskirts of old school Chinatown visited by White people that's been reviewed a lot that has not really improved in terms of standards of health, cleanliness, or service but has somehow maintained the one standard of excellence - food, you'll need to visit Lam Zhou. Handpulled.  Old school hot chili oil sauce (some places have started nixed it).  Comp'd pickled vegetables.  All condiments served in sticky bottles to the touch.  Grab your drink for a fridge outside this dive cuz there's not enough space inside.  Fans, no AC (yet).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.009935897; Sentiment_Subjectivity (from 0 to 1): 0.371153846 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the more reasonably priced venues for brunch I've been to since living in Park Slope.  For a little over 12-15 bucks a coffee/ tea and a juice/ mimosa/ belini/ champaine is included.  My date hits it on the spot when she came back from the bathroom thinking as if she's in some sort of bed and breakfast place.  Candles in there, the family style table, and the cool and comfortable bar is a nice touch. It appears that it's also a family owned restaurant, however one of the bartenders was a little bit annoyed how someone's daughter was wandering about behind the bar as it was a bit busy. My dish with the pumpernickel bread wasn't very satisfying as it completely overtook the lox, cream cheese, and salad.  My date's short rib hash was amazing and we were eyeballing everyone else's dishes.  I honestly was thinking about ordering more, as it seemed a lot of people were doing it tapas style.  Their pancakes look uber yummy so I've got to come back and try them.  Plus there was a fried pork chop and cheddar waffle on the menu.  ftw!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.190277778; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 totally beats a $5 footlong at Subway, but why not 5 stars?  Spicy isn't very spicy and their bathroom downstairs is a scary run down dark corridor reminiscent of SAW movies.  Nevertheless, the Manh Mi #1 was off the chain awesome.  If I was a daring man, I would have gotten a Durian milk shake or some other Asian drink. Authentic.  Great price.  Will be back.  Worth Recommending (for take out).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143803419; Sentiment_Subjectivity (from 0 to 1): 0.477991453 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow, is this place hoity toity or what?  Fancy talk doesn't really impress me much - food does so lets get down. Bread was nice and warm but the foie gras butter wasn't that big of a wow. Kumamoto oysters were dainty, but tasty.  Not sure why it's an aristocrats first choice - perhaps I needed it to swim in my mouth a little longer. The razor clam and bone marrow first courses were the BEST. Mesculin Salad was ok - the maple glazed grapes was subtle. Pork Chop over cold fingerling potatoes was a bit dissappointing (and a little undercooked).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165895062; Sentiment_Subjectivity (from 0 to 1): 0.569135802 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Everyone said their kale salad was the bombdigity and they were right.  Must duplicate at home!  =D  The kimchi app was mediocre but my kimchi ramen was pretty tasty.  Broth is one of the better I've had - always hard to balance richness and saltiness.  Definitely worth coming back - especially on a cold day!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.068386243; Sentiment_Subjectivity (from 0 to 1): 0.630820106 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cashier can't stop smiling and staring at me while I wait for the restroom.  (I still don't know which balls to order yet - to take out). Quick dash out to meet up with Will C and Isabella.  Guys still can't decide what to get.  Quick dash back before someone ninja's my spot cuz I really needed to pee.  (Did the flirty girl behind the counter know I really had to pee?  Was that why she was smiling so much?  Is my pants zipper down?  No?  Ok.) Alright, I'll have the spicy pork balls. Which sauce? (damn, totally forgot about the sauce - I just really need to pee please.  The cheese makes sense, since cheese is always good with anything spicy.  But nah - too fattening and I just had Luke's Lobster.) Mushroom please.  (always a good default) Paid and did my business.  Or was it did my business and then paid?  I don't remember.  Waited more for the other guys' order.  (hmm, 4 balls ($7) and I'm not that hungry...)  Went back to ask the pretty gal for two forks.  [Evil Eyes]  *_* Went home early so didn't get to share my spicy balls with the guys, but I do remember hell hath no fury like a woman scorned.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.126900585; Sentiment_Subjectivity (from 0 to 1): 0.442836257 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It's time for an updated review of Song.  I think like most Slopers who first come here, they love the place.  Great prices, food, service.  But lets face it - they is WAY too much sauce in your stir fry it could be sodium soup.  Guys gotta chill out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.45; Sentiment_Subjectivity (from 0 to 1): 0.476666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I didn't actually go into the Borgota (every time I use that word I envision Hugh Heifner in a red robe smiling at me while a whole bunch of nekid girls are swiming around), I had to stop here yesterday during the Park Slope Fabulous 5th Ave Fair and try an empanada. $3 each or 4 for $11, I tried the codfish.  Squeeze a lil salsa from a bottle that tasted a bit like Chinese duck sauce, so that's an automatic win right there.  Super yummy - FULL of cod fish and beautifully seasoned.  Hit the spot on a great day.  Will definitely come here sometime for dinner and maybe even some happy hour.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.351360544; Sentiment_Subjectivity (from 0 to 1): 0.503741497 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 woman I'm seeing introduced me to her best friend and her best friend introduced me to her sister and her husband Saturday night for dinner just after 30 minutes her best friend completely devoured the unagi nigiri (eel sushi) I prepared for them.  She's a beast. We sat in the front booth as there weren't any seats in the back since we didn't make reservations or anything.  I think it was a bit of a shock to me that this couple would sort of eat here on a "regular" basis as the food isn't cheap and everthing is indeed fancy.  Me and my girl were full so we didn't really want to order anything, but as the husband was gracious as he was generous ordered a few things for everyone to share. Two bottles of Shiraz who's name I can't remember but it was limited edition, 53x2 Beef Marrow and Oxtail Marmalade, 16.75 Butternut squash ravioli (special?), ? Paella Basquez, 32.50 40 oz Rib Eye, 70 Banana Split, 12.75 Chocolate Bruno, 11.75 Banana Walnut Bread Pudding, ? Final bill came out to be a little over $300 for the five of us. Richard, the husband was known to be a foodie and a great cook so I trusted him to do right and indeed everything was.  The wine was awesome and I pretty much knew he wanted to go for steak even before he ordered it.  Red wine + the fact that the wifey doesn't eat red meat.  The beef marrow and oxtail marmalade was out of this world and I'm pretty damn sure it was something I saw on teevee!  We all snicker about the fact that the "marmalade" was made of oxtail which was sweetened of course.  Twas very rich but oh so damn good I have to have it again next time I come here.  My girl asked if I was ok and I don't think she understood how excited I really was I got to have this "tasting menu".  I then proceeded to ninja the ravioli (really, I'm not hungry!) and split her half.  Wowza this was yummilicious.  Onto the main course. The Paella was passed down to the ladies and although I'm sure it really was appetizing, I was eyeballing the ginormous rib eye.  O_O  Richard opted for the fries while I coulda gone for the sweet potato or yukka alternative.  Still - no regrets.  The steak was perfectly done medium and the fries were salted and crispified to perfection.  The only gripe was the sauteed spinach tasted sort of burnt.  The fig bbq sauce was also very nice.  Although I didn't remember much of the Paella (as I already had rice earlier in the evening), I do remember that the rice was well done (which is the most important thing about paella) and the seafood was also fresh.  However I wasn't a fan of the spicy chicken sausage in it. As we finished up the main courses and Richard was pouring more wine for everyone the beast inside me kept staring at the bone of the rib eye - we all agree that's the very best part!  Of course we talked about dogs (I don't have one) and if they'd want it but they all passed.  So I whispered to the waiter, can I doggie bag that?  He responds, "oh for your dog?"  "Yeeeah...  that's it... my dog"  Woot! The desert came and even though everything looked nice, I knew the ice cream was melting already (that's the thing I don't like about restaurant ice cream - melts too fast) I was thinkin about the awesome bone of the rib eye I was gonna have tomorrow while watching some manly show on my couch in my underwear (j/k).  Alas, the waiter told me he accentally threw it away.  Dudes, I was completely bummed.  The girl-beast of course asks if we'd get another steak and I being the guy whom Elaine talks about was new, I didn't make a scene. The banana split was spot on, however it could have been a little bigger and the banana should have been more evident visually instead of having to go through the entire scoop of ice cream to get to it.  They just need a slightly bigger ice cream scooper and a bigger boat.  The Bruno was good - thick brownie like structure is always a good accompaniment to ice cream.  The bread pudding was my least favorite as it reminded me the first time I actually came there (just for dessert). This place would have gotten a full five stars if it weren't for the spinach and throwing out of my awesome rib eye bone.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.270762207; Sentiment_Subjectivity (from 0 to 1): 0.524727052 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 stars. Recently they apparently had donned up their version of a thai iced tea by deconstructing it into something more fancy - orange ice cubes, tea, simple syrup, and condensed milk all in individual glassware with a long stirrer to make your own.  Very cute - so much so that I finally had to wiki what's in a thai iced tea (been meaning to do that).  So apparently what's supposed to give the tea it's color is strongly-brewed ceylon tea.  However due to it's cost, regular black tea is used and red and yellow food coloring is used (thus the ice).  Mystery solved. Apps: Pork belly salad was the best.  Mushrooms were slightly on the greasy side.  Papaya salad is simple. Mains: Beef green curry, pad see ew, and pad thai was all average and honestly disappointing.  When I tasted the prawns in my pad thai it was...  funny.  Spit it out and had another just to confirm.  No bueno.  I had to inform the waitstaff of the bad shrimp and they gladly asked if I wanted a replacement.  No thanks - the noodles were ok so I just finished the noodles.  They removed my dish from the bill. Great Service and prefix sunset menu lunch.  But alas the food was overall lacking - besides the pork salad app which was awesome.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.111021505; Sentiment_Subjectivity (from 0 to 1): 0.484931466 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 made reservations here for my birthday and I found it a little interesting how someone from Traif actually fowarded me a menu to choose from (9 savory dishes, 2 desserts).  People, words do not do this place justice and with 500+ reviews averaging 4.5 stars that speaks volume already.  I'm not going to bother with highlighting what we had, but I will say that the least favorite is probably the salad as it was the first course and least original thing we've had.  Everything else is spot on and the 16 other Yelp friends who were damn lucky to have reviewed this place before I did would agree. So I'll just make a few suggestions. #1 Make reservations. #2 Only bring people you like here, you'll get lots of love in return. #3 Starve yourself for a day and a half and order the chef's menu. #4 If your girl likes dessert, order them all. Oh and you must love pork to come here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.111944444; Sentiment_Subjectivity (from 0 to 1): 0.510555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 took Courtney J and her boy as part of their quick Chinatown eats tour and boy did they enjoy it.  As we were waiting for our freshly steamed chive and pork dumplings, a few white people walked in.  I turn to the boy and asked - do you know how you can tell if the place is awesome?  When white folk come to your restaurant.  /nod; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.261904762; Sentiment_Subjectivity (from 0 to 1): 0.371428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 understand why Stone Park is rated so highly.  Didn't really want to come here until there was some sort of special occasion (as prices are a bit fancy) and when Courtney J came to visit, brunch was definitely on.  Create your own omelette is awesome.  The homemade sausage is meh, but definitely go for the andouille.  Toast comes out already buttered.  Live a little and go for the sourdough!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.221913149; Sentiment_Subjectivity (from 0 to 1): 0.631142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to be a big fan of this place.  Thier Roti Canai (pancakes in curry chicken dipping sauce) is the best all around, however their portions have gotten skimpier over the years.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.133333333; 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: 3.5 stars. Great value for lunch specials, but generally Japanese curry isn't my favorite type.  Sue me - I just visited Thailand where I made my own during a cooking class. Fried Chicken cutlets over the brown curry tasted pretty good, but somehow it tasted like fast food - and nothin wrong with fast food once in a while.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.215; Sentiment_Subjectivity (from 0 to 1): 0.74 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 3.5 Stars really.  The butternut squash soup was tasty and had a real earthy tone given the walnuts.  My NZ venison was cooked perfectly, spinach seasoned well, and sesame potatoes were interesting.  What topped the meal was a NZ type of dessert with fruit, cream, and a light cookie thingy on the bottom.  What's not so great was flat/ expired diet coke from a 2-liter bottle, the table setting (tiny place and I was stuffed in the back), and the noise level was extremely high - table to the left had middle aged men and women discussing orgies and table to my right had a woman talking about hours of make out sessions and slutting it out.  Classy, but I suppose it was better entertainment than dining with an ex. If you follow Top Chef alum Mark Simmons go for it, but this "mediocre" review is totally for the poor front of the house execution.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194785714; Sentiment_Subjectivity (from 0 to 1): 0.496285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 my fellow Yelp foodies is a little bit harsh on this place.  It's crowded and I'm personally not a fan of eating/ drinking while standing in the wine/ cheese "area".  Prices are a bit high, but look at the facts - the area and I'm pretty sure a lot of the products are imported.  You get what you pay for: gourmet Italian fare and it's not often you visit a place with black garlic and a rack full of different salt rubs. It irked me a little that there was a station where you had to pay $1.40 to try a sample of chocolate spread, but then the bread section had freebies which I appreciated - to that we bought a loaf of Panchetta n Provalone Loaf for $5.80.  Awesome, but dense and definitely not low-cal. It'll take a few times to get used to the layout and if you're in the mood to treat yourself or want to find an otherwise exotic ingredient to cook with, this is not a bad place to come hang - or impress a date.  =); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.159351852; Sentiment_Subjectivity (from 0 to 1): 0.576604938 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just had to see what all the hub bub was about.  I sort of guessed Num Pang was only a take out place, but they actually had seating upstairs.  I expected overpriced sanwiches compared to Chinatown counterparts in which I grew up with.  Yeah - they are a little pricier.  Size?  Yeah, that threw me - the buns are dainty.  However I also anticipating a treat as they were going to be packed with flavor - mayo dressing on both sides of the bun, carrots, red cabbage, and other good stuff.  The sausage?  MEATY. I didn't like the blood orange lemonade so much though, but if I ever need sandwich fix when I'm in the area I'll know where to go.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.154166667; Sentiment_Subjectivity (from 0 to 1): 0.463888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 agree with Leslie D that Kefi is a little bit pricey, but you're paying a little extra for the great service and ambience.  We tried many meze's (appetizers/ tapas) and while my friends enjoyed grilled octopus, I thought it was overcooked.  The crispy calamari was also a little overdone as well.  The entrees were good however.  The steak/ sausage dish or the lamb shank with orzo is a crowd pleaser.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2421875; Sentiment_Subjectivity (from 0 to 1): 0.51875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can finally understand what all the hype was about, but I'm tired.  That was my thoughts when we were merely halfway done with our shrimp and crawfish combo - not from eating, but from shelling the crawfish!  Don't get me wrong, that boil sauce - old bay, lemon pepper, and garlic butter was the bomb.  I've never had so much garlic goodness in my life.  Had to get the bread to sop it all up. I'll be back sometime to get the crab legs.  Few tips, I wouldn't come with more than 4 as the wait could be long, and my only gripe is that it's cash only.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.08125; Sentiment_Subjectivity (from 0 to 1): 0.541666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I brought a Filipino gal here for brunch last Sunday, newbie Yelper Hannah A.  My other Filipino friends Stella D and Rachel A give me street cred as a genuine OG Yelper helpin me out with great reviews.  I had the prawns and poached eggs with something that she said wasn't potatoes but some other root veg.  She had the Steak and Garlic Rice, mango agave drink.  She loved the experience so much she spent more attention on her phone checking in on Facebook/ FourSquare/ Yelp bragging to her friends than chatting with me.  I even ran into a old Filipino coworker here with her family here checking it out for the first time.  I'm sure they were also happy with the experience. Very tasty brunch and it was the first time I sucked head (the shrimp people, the shrimp!).  Great service, but no happy hour, takes only cash, no halo halo. Will definitely be back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.253289474; Sentiment_Subjectivity (from 0 to 1): 0.498538012 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small old school restaurant here.  Service was a bit slow and they should go for larger cups for the tea/ water.  Gonna be much better in the long run for everybody!  It's a possible indication of their lack of dish washing capabilities as we had a hard time finding soup spoons and the napkin dispenser ran out. Bathroom is relatively clean and I'm actually quite surprised they have paper towels instead of a ghetto air blower. Anyhow what tips the scale between a 3 and a 4 for me is the quality and value of the food.  Super tasty and they have more of a variety than the hand pulled noodle shop on E. Broadway.  Great broth, noodle, meat all around.  Worth the wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.139722222; Sentiment_Subjectivity (from 0 to 1): 0.510555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 missed a get-together with my buddy Benson Y, but decided to come here for a pre-Blue Man Group dinner.  We had a Bacon, two Basics, and an order of fries.  Love all the sauces on the table and that Jalapeno is pretty spice - when the sauce is green, watch out!  I loved the fries the most I think as my second slider which came with a bit of a wait since they make a massive amount at a time was a bit greasy.  Fast service and a really great joint for a burger/ fries fix.  I would totally avoid the Bacon Milkshake as Ben reviewed - heavy!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.222727273; Sentiment_Subjectivity (from 0 to 1): 0.618181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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'd like to thank all my Yelp friends for your recommendation and 4-star reviews of ilili...  the academy...  my family who's supported me, thank you all. Service is super attentive and the nice lady helped me check my ginormous backpack near the front door. Like many other tables around me, we came here for restaurant week and each ordered two starters a main and their dessert.  Started with two cocktails which I admit were quite pricey (~$16), fancy, but damn delicious.  Hummus w/ Jalepeno (+$1), Falafel, Tuna Belly (+$8), and Beef Tartar.  Entrees were the Bass and Lamb Shoulder.  Fantastic Lebanese cuisine here. Everything was beautifully plated (mostly with tiny lil turnips), great sauces, and just downright tasty.  My only small thing was that they poured sauce on top of the tuna starter and the bass which I generally don't like as I like my skin to stay crispy. It's fancy and pricey, but a very delicious way to introduce someone to Mediterranean cuisine for the first time.  Beautiful date spot and worthy for special occasions.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.352619048; Sentiment_Subjectivity (from 0 to 1): 0.685190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I walked into Applewood, I first noticed a very romantic atmosphere.  I sat down looking towards the bar area and then noticed two gentlemen with very distinguishable facial hair, oddly feeling I was either transported into a fancy Western-European Saloon.  She ordered the drink of the day which included gin, orange bitters, and some other type of alcohol.  I ordered the "Green Tea" which wasn't nearly as strong as my date's. The bread came with three different kinds of spreads and the most prominent was the garlic butter.  The others lacked flavor of any kind.  Our Seared scallops with almonds and honey was divine.  We waited a while for our entrees to come out and it was pretty good.  The lamb was perfectly cooked and the beef short rib was flavorfully and (slow) braised to perfection.  Despite the slow dinner service, I'd come back again for another special occassion.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.168726379; Sentiment_Subjectivity (from 0 to 1): 0.500094482 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Any place that you see tourists AND locals ordering up is a good indication this is the place to be.  Not a good place for dieters or vegatarians, that's for sure!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325; Sentiment_Subjectivity (from 0 to 1): 0.696296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for a Tom K's birthday. First time I've honestly tried lardo - straight up.  It was part of "The Boards".  Before getting into what we ordered, "The Boards" menu should probably need to be clarified a little bit better.  Check it out: swinenyc.com/Swine_food.… FYI, you can choose between all three sections: Salumi & Such/ Charcuterie/ Cheese.  Not just Salumi.  So we had the Lardo, Duck Rillettes, Consider Barwell.  Everything is spread onto the awesome buttery toast.  Lardo was fantastic, melts in your mouth (omg, don't think about the fat and calories), duck was meh - pates don't tickle my fancy, and the Barwell's bacon marmalade & cheese was amazing. Was about to order the Grill Cheese because I wasn't too hungry, but the waitress persuaded me to get something else that's more filling...  I wished I gone with my original intentions because the Bone Marrow & Brisket Burger nearly killed me.  Delicious.  Heavy. This place really deserves more stars than I'm giving it, but I guess I wasn't just feeling it.  The Boards were a bit pricey as were the Condiments ($3.  It's strange to pay for condiments and they should simply included in the price - choice of).  Someone turned down the lighting midway through out meal too much and I couldn't see what I was eating (hate that so much).  When I asked if it could be turned back up, I was given two tiny candles.  Also my mood wasn't into as one of the people on the table (sitting directly in front of me didn't even eat anything). I'll come back to try other entrees.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.188728632; Sentiment_Subjectivity (from 0 to 1): 0.471321734 [/INST] Not Spam</s>