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syannn

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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Had an awesome brunch at Almond today, most of it exceeding my expectations - service, ambiance. Food was ok and therefore I deducted stars from the restaurant. Service was extremely warm and welcoming, but not overly obtrusive.  Water glasses and bread basket were always full. The bread came with two jams and a delicious sweetened butter. The waiters are friendly, cute, and patient. We never felt rushed (waiter waited for us to ask for the check) I ordered the waffles with nutella, to negate all the benefits of the morning run and it was delicious! I really enjoyed it. We also ordered the housemade pastrami & eggs and I wasn't impressed. The pastrami and home fries were good but the eggs had nothing special. My only complaint is that the tomato salsa that comes with the eggs tasted a bit old and looked soggy. Even Chipotle has better tasting tomato salsa.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.510714286; Sentiment_Subjectivity (from 0 to 1): 0.671848739 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 friend who used to live in NY gave us a three page list of her favorite restaurants to try in NY, but she said that if she had to pick just one place to endorse, Snack would be it. We trusted her judgement and had a delightful dinner in this tiny little SoHo spot. We are lucky to have gotten in - we walked in on a Sunday evening, about 20 minutes before the kitchen closed and they were able to accomodate our group of 4. There were several parties that walked in afterwards that all got turned away since there was no more seating and the kitchen was closing. I had the lamb stew which was so tender and flavorful, the BF raved about the mousaka. Our server was absolutely delightful and attentive and enhanced an already fabulous meal. I would definitely come back here again on my next trip to NYC and just make sure I'm here early enough to guarantee a spot at one of their 6 tiny tables.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.216609848; Sentiment_Subjectivity (from 0 to 1): 0.557361111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thanks to my little Yelp friends, I knew to pop in here after a day of shopping around SoHo. Great find! On a Sunday night, we were the only ones in there and had the waitress' attention all to ourselves. This paid off because during our wine selection process, she let us taste every white wine on the list, plus gave us her personal wine commentary. Surprise surprise, we picked her favorite wine. The pastitio kicked ass - evenly balanced sweet and savory. Lamb rib appetizer was flavorful but could have been a tad bit more tender. It was clear that this was a 'regulars' spot. After a while, one or two more people strolled in, pulled up a chair, busted out a book, and the waitress brought them their standard order. It's rare to find such a local gem in the vast bustling city but I'm glad I did. Well worth every moment!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.229861111; Sentiment_Subjectivity (from 0 to 1): 0.515740741 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 If you're a dood and you don't feel de-masculinized by eating "brunch" with your bros, then you should definitely dine here for the scenery. All tables, all young attractive women, all the time. Now if you're a chick like me, I found Jane to be pretty standard fare. Crowded with some wait time. Great service. Strong coffee served with frothed warm milk. Highly recommend the Benedict Johnny but the spinach omelette was just meh. Go ahead and fill up on bread. It's damn gooood.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.349259259; Sentiment_Subjectivity (from 0 to 1): 0.613703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hmm. So far, I am not impressed. Stopped by to grab a sandwich for take out. Woman behind the counter clearly wished me to hurry up and make a decision. I placed my order and she gave me the total: $8.15. I wanted to give her exactly that amount but she would not take my five pennies to make up the five cents in 15 cents. "Oh, no pennies. He doesn't like pennies." (Who is "he"? Am I supposed to know?) And who doesn't accept pennies? Aren't pennies money? So you'll take my dime but not my pennies? Wtf? I gave her a quarter instead, and of course I got back a dime. Just what I need: more change. She told me to sit outside and that my sandwich would be brought to me when ready. Fine, as there were no seats inside anyway. Sat outside on the bench. Tick. Tock. Tick. Tock. 15 minutes go by, and I"m wondering seriously how long it takes to make a bloody sandwich. So I go inside to ask about it. Turns out my sandwich has been sitting on the counter this whole time. The girl (a different one now) behind the counter says, "Oh, is this yours?"   What, do employees not talk to one another in this place? I mean, I could sit all day on the bench outside and watch the yuppie families pile their DKNY-sporting toddlers into their luxury SUVs, but I think I ordered a sandwich because I'm hungry! The sandwich, as it turned out, was really good. Lovely ciabatta bread, fresh ingredients (I ordered the marinated sandwich), and all-in-all delightful. But when Alidoro is only half a block away, I think I'll give Snack place a miss next time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.028720238; Sentiment_Subjectivity (from 0 to 1): 0.539434524 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Believe the hype: it's good! Stopped in for lunch last week... long line, but super efficient staff made it better. They were so friendly and professional. Ordered a pollo burrito... WITH guac. Mmmm Mmmm good. Delightfully messy, warm, and full of tastiness. It filled me up and took me out, but left me intent on returning. My dining buddy, a skeptical Berkeley grad, exclaimed that her carnitas burrito was so good it meant she'd return, too. Yay! Kudos also to Dos Toros for using environmentally friendly Greenware and corn-based forks instead of plastic. And, for making the menu cheap-ish. I'd be more willing to give you 5 stars if you shaved a dollar off each burrito/taco/plato, though. But that's just cuz I'm broke. Having said that, I will probably happily be back for more beautiful burrito indulgences. ...but seriously - what is up with all the Californians talking about "authentic" Mexican food? Have they been to Mexico? I realize Cali has a different *kind* of Mexican food than you might get in, say, Mexico City or even San Antonio, TX, but please -- Californian Mexican, while dang delicious, is not "real" Mexican. [edit: it has been pointed out to me that the veggie burritos here are not vegan, in case that is important to you. The rice is cooked in chicken broth. It's not important to me, but I thought it deserved a mention.]; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.248484848; Sentiment_Subjectivity (from 0 to 1): 0.518181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You might wonder, "Seriously - $2.50 for a falafel? and a 5-star review?" Let me allay your concerns. First, let's address the $2.50 issue. Yes, it really is only $2.50 for a very filing falafel sandwich. How can you beat that price? 'nuff said. Now let's talk about the falafel-ness. I lived in the Middle East. For 3 years. I know my falafels. In fact, I'm usually dubious about trying falafels stateside because most of them just do not compare and I usually end up disappointed. But take it from me -- this is the real deal. Without a doubt, this is the best falafel I've had outside of the Middle East. The crispy chickpeas are hot and freshly fried, and the gobs of onion and tomato melt into them. And then there is The Sauce. Apply with caution if you're not one for spicyness. I happen to *live* for spicyness, so I indulge to my tongue's content... all the while letting little "Mmm"s and "Ohh"s escape in between bites and breaths. Just writing about Mamoun's Falafel is making me crave one... and at $2.50, why the heck not?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.062678253; Sentiment_Subjectivity (from 0 to 1): 0.414705882 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well, it ain't no Casellula, but it sure will do in a pinch. More of a neighborhood hangout or an after-work stop-by if you're a Midtown slave, but still worth a visit. Very considerate servers and staff, who will do their utmost to accommodate. The barman knows his wines!! I asked him to "match" my favorites (Barbera d'Asti and Santa Christina) and he did so with a Montipulciano d'Abruzzo that was perfect. A cheese and meat plate matched our wines comfortably. Service was pleasant, attentive, but unobtrusive. The food menu is not extensive, but the wine and beer menu is. Come, stay awhile, get comfortable. The back room is more intimate and quiet (the couple sitting next to us shared a very .. uhh.. engaging kiss at one point) while the front room is animated and lively. Pick your noise level for your comfort. No matter where you sit, enjoy a relaxed atmosphere. On the night we visited, music selections included U2, Miles Davis, Arcade Fire, and the Turtles. Nice. :) I won't be rushing out of my way to get back to Sofia, but if i'm in the 'hood again, you can be I'll stop by.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.340099862; Sentiment_Subjectivity (from 0 to 1): 0.546464646 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Few places like this exist in a neighborhood like Chelsea, and that is part of what makes Johny's so special. Fight for a seat at the bar, or order to-go -- either way, you'll find the service personable, quick, and friendly. This is a greasy spoon and that is what makes it taste so damn good. This isn't a greasy spoon that deliberately makes things unhealthy, though. No, this is the kind of food your parents and grandparents grew up on, before we found out that excess butter, processed cheese, white bread, and pork fat cause things like cancer and heart attacks. Dammit. Sometimes, ignorance is bliss. Whatever you do, make sure you try the hash browns. They put the potato on the pedestal as the world's greatest starch. Lots of regulars. Fresh, refills on the coffee. Fill-ya-up portions of fried egg sandwiches and omelets. And all for less than 10 bucks. What more could a woman want for breakfast, really?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.292772109; Sentiment_Subjectivity (from 0 to 1): 0.501927438 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Super reasonably priced pizzas and more. The pizza I ordered was beautifully done and tasted divine. I gobbled it up very quickly! Great service, too. Nice that there is some outdoor seating, as inside it's a bit dark.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.447619048; Sentiment_Subjectivity (from 0 to 1): 0.702380952 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Walked in on a busy Saturday night without a reservation. Staff were accommodating and gave us seats at the bar. We ordered two tapas plates and both were excellent, though the roasted Japanese eggplant won us over by far - we were savoring every bite and our conversation stopped completely! The sangria was so-so.. I tried the white sangria which tasted too much like orange juice mixed with wine. I've made my own sangria many times and have made 3 trips to Spain so perhaps I'm a bit picky. Alta's sangria was the only thing holding it back, in my opinion. But the food is creative and delightful, and the warm yet active atmosphere are reasons to go here!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.284895833; Sentiment_Subjectivity (from 0 to 1): 0.553125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Was doing a bit o' work in the Flatbush area and being unfamiliar with the 'hood, I powered up my trusty Yelp iPhone app to see what was around. Yelpers like yerself recommended this one, so off I went seeking lunchtime nom on a Tuesday afternoon. Nearly walked right past this place; if it hadn't been for a lone girl sitting at a table near the window indicating there was indeed food inside, I probably woulda kept on walkin'. Inside, a handful of clean, simple, upright tables and chairs, as well as a counter in front of a very open kitchen. Coolio. I looked at the menu, asked the woman behind the counter what she would recommend because I wanted some spiciness to my winter day. She recommended the spicy eggplant fake chicken lunch special and so that's what I ordered. It came with soup or a roll -- I chose the hot and sour soup and it was slurpy delightful. The eggplant dish came with rice (I opted for brown) and oh.my.goodness was it ever flavorful -- not to mention a HUGE portion. I couldn't finish it all and ended up having to ask for a to-go container... to which the lovely woman behind the counter obliged, and I was thus able to enjoy Zen Vegetarian for another day's meal. YUM. Oh, and not to forget the fresh juices here. What a cleansing treat. I daresay if I lived near Flatbush I'd be here rather regularly. Cheap, cheerful, and lots to chomp on!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.141718427; Sentiment_Subjectivity (from 0 to 1): 0.632142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Hummus Place is way better.  Snack is a rip off. I got a platter of three appetizers.  It cost $13, so I was expecting a decent amount of hummus but Snack gave me three little containers and not even enough pita to eat it with.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.119791667; 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: Worst service ever.   The guys stand back there finding things to do so they can ignore customers and the line can grow really long. They suck.  And the pizza isn't that great.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0625; Sentiment_Subjectivity (from 0 to 1): 0.5375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: everything was fabulous. go here, but please don't tell anyone else about it.  let's keep our little secret so the crowds don't ruin it.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.0625; Sentiment_Subjectivity (from 0 to 1): 0.733333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and cozy. Agreed that customer service could be better. Anyways, best way to avoid them is just grab to go and eat at the park on Thompson and Spring. My favorite of what I had so far is the lamb sandwich. A good 8" long, floury ciabatta holds a generous portion of well flavored braised lamb, sweet onions, and arugula. Tuna sandwhich is pretty good too. Hard-braised yellowfin tuna with artichokes, tomatoes, cucumbers, portobello mushrooms, scallions and shaved viahotiri cheese in a lemon vinaigrette on ciabatta bread.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.327272727; Sentiment_Subjectivity (from 0 to 1): 0.654545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am lucky enough to have summer Fridays, so this is my only chance to get the dosas (closed on weekends). For the price, being vegetarian friendly, filling, and great service, its gets all 5 stars. If you like spicy, ask for very spicy bc the hot sauce can be weak if you dont adamantly assure them that you enjoy spicy. We ordered (menu attached): 1. Pondicherry-- beautiful presentation, easy to eat, filled with potatoes and veggie ($6) 2. Rava Masala-- harder to eat bc the crepe is made of wheat and rice flour so you definitely need to eat with fork. Has peppers though which I think beats Pondicherry bc it adds more flavor. ($6) 3. Vegan Drumstick-- got this for kicks-- all soy protein-- would stick to the dosas, but is a nice appetizer if you really need one (2/ $3) Cheapest lunch Ive had in a while, and Washington Square Park is newly renovated-- so grab a bench and enjoy the weather!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.262049062; Sentiment_Subjectivity (from 0 to 1): 0.597438672 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 2 weeks ago for Sunday and it was the perfect way to end the weekend. Scott's an excellent chef. We ordered: -Sweet Peas, Almonds and Lardo Butter on Toast: Where can I get some lardo butter of my own? Definitely came from a good pig. -Lipstick on a Pig with Pickled Mushrooms: It's a nice change from liver pates. You could taste all the flavors of the tenderized slow cooked, congealed meat. -Olive Oil Poached Cod, Melted Leeks & White Beans: Thankfully, I no longer follow the rule of not ordering fish on Sundays. I was so impressed by the freshness of the fish and its dense flesh quality. The leeks and white beans (first time with this creative combo to fish) enhanced the mild delicate flavor of the cod. -Steamed Clams, Roasted Tomato, Fresh Chilies & Garlic Bread: Yes clams were good. But the best part should always be the broth and garlic bread, which indeed it was! -Vanilla Cheesecake, Almonds, Blueberries: Could have honestly eaten the whole menu since it was so good-- but alas we decided to save room for dessert. Highlight was definitely the toasted almonds topped over the creamy cheesecake. So delish! undergrounddining.blogsp…; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.384057971; Sentiment_Subjectivity (from 0 to 1): 0.638405797 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Mmm...not better than Ushiwakamaru, but definitely on the same excellence level. Both highly recommended. Yasuda's interior is fancier. Came here on Friday, party of 4, sat at chefs table. I had 16 pieces of Chef Selection for $100 (included $10 carafe of sake) which was totally worth it. I love coming out of a restaurant and not being phased with how much I spent. (Ushi's bill was cheaper though). The best part of the meal was that our chef gave us a unique comparison tasting. So fatty tuna is fatty tuna, but he gave us one from origin A and the other from origin B. We really enjoyed tasting the difference. Definitely worth traveling uptown for!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220357143; Sentiment_Subjectivity (from 0 to 1): 0.41 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: MMMMmmmm..this place was good. Surprisingly a lot of seafood compared to meats, which I dont mind at all. Waiter service was incredible and attentive; had trouble finding the right red and white wine, so we had a little wine tasting and he was very gracious and patient.   We like to eat, so we ordered a lot, and were perfectly full. 3 dishes per person sounds good.  Menu changes. Good for sharing. For Crudos I loved the scallops (so fresh) over the other fish that was pan seared with arugala.   For Pasta we got the black ink with calamari. I thought it was too salty-- but liked that they chopped the noodles into small pieces so I was not slurping the whole entire time. My favorite Pasce was the octopus-- grilled with some lime juice, potatoe and...peppers? Good one  to get! And then for the Carne, definitely get the Berkshire Pork with Mussels. Never thought the combination coudl meld so well. Sauce was amazing. Also for Contorni, just bc we like to try new things, we got sunchokes-- which were like...potatoe fries? At least it tasted like it, and it went well with our food. Will definitely come back, and or try sister restaurant Dell'Amina.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.262686595; Sentiment_Subjectivity (from 0 to 1): 0.51288252 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for my 1/2 birthday and farewell dinner to my BFF Neth--it was one of the best 3 hour dinner of our lives. Kiyo (the chef) even came out and talked to us a couple times. Love the space-- huge skylights in the middle of the cieling, and recessed garden on the side wall. Couches as seats makes the whole room feel like youre at someones house-- Kiyo's house. Food...everything was excellent and thats why this place gets 5 stars ($15-25 an order). It's tapas style, very easy to share, sizeable portions. Here's what we ordered-- 1. The cavier-- this lasted us through all our courses. Get it, have it on the side and dip into it when youre waiting for your next plate. Comes with beet, cucumbers, radishes, etc. 2. The mushroom uni croquette-- melt in your mouth uni. Its a small fried ball filled with savory mushrooms, and topped with a generous amount of the most seductive uni Ive ever had. 3. Oysters! You can buy a dozen for $30 or 6 for $16. I say GO FOR THE DOZEN! Caught from Massachusetts, so fresh and silky. Best part though was instead of cocktail sauce, Kiyo makes this amazing apple vinegar sauce instead. Seriously. Go for the dozen. 4. Market Price Sashimi-- you choose 3 of the 5 they have, and they give at least 5 pieces each. They dont skimp on this. 5. Today's Special Wagyu -- TONGUE. How could I say no? How can anyone say no? Yum. Comes with fried potato and garlic. Make sure to take each bite with the rosemary. 6. Black Miso Cod-- Yeah you'd think all cods should be the same since all Japanese establishments serve this-- but youre wrong. Dont be stupid. Order it. We ordered it twice. Something about the seared skin, and buttered meat...very irresistable. 7. AND last but not least, the sake panna cotta. Not too sweet, just the right amount of alcohol. Helped keep our buzz going from our own bottle of sake. But just FYI-- its BYOB. Dont worry though, Rick from Sakaya can hook you up with a bottle.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.237051446; Sentiment_Subjectivity (from 0 to 1): 0.547774943 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Roberta's is definitely worth the L train down to Morgan Avenue. Just be sure to get to the L train by 1130PM, or else you'll have to take the bus to connect to the train. (Lesson learned last night). The menu online is actually slightly different than what we looked at the restaurant-- so I wasnt able to order the Axel Rose. We did however get: 1. The huge ass 'Big Tone Calzone' with mozzarella, mushroom, PESTO AND ARTICHOKE. That was an awesome pie to eat. The flavors of pesto and artichoke really melded well together. (see pic) 2. Da Kine which was basically a hawaiian pizza with...ta-da, jalepenos! But I didnt like it that much-- mostly bc the calzone overshadowed it, and there wasnt enough heat from the jalepenos. The other option was a pie with tuna and jalepenos, which I'll have to try next time. For now, that pie was too ordinary, and only gets 3 stars. 3. Veal Sweetbreads from the Dinner Specials-- oh this was so worth $16 for a small plate. I'd have to say, even though the actual sweetbreads were not big round balls like what Ive had at other Italian restaurants, the smaller size of them allowed all sides of it to be perfectly crispy on the outside. The best was the dressing and pistaccio / walnut bits it came with. Seriously 5 stars. If we were not so full (and wanting dessert) I would have ordered the pappardele and the fried chicken!! 4. Goat Cheese Cheese Cake with rhubarb and graham cracker crusts on the side. The best way to describe it (bc it was such a new flavor for me) was like dating a guy and you feel comfortable with, but hes always surprising you-- bc you eat the cheese cake and it tastes like a normal one, but at the end the kick of the goat cheese came in. We finished the whole thing. It was the intriguing and experimental for us! Definitely coming back for more! **CASH ONLY**; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.180908517; Sentiment_Subjectivity (from 0 to 1): 0.46569674 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Over rated. Then again, I didnt get the spaghetti or polenta that everyone was raving about--but it's pretty sad if nothing else on the menu list is outstanding. Dont get me wrong, the ambiance is exactly what you should expect from the MP District, the service was extremely helpful, the meal definitely enjoyable, but just so over rated. Ive definitely had better. We started off with the 3 choices of cheeses with fruit that complement the flavors: fig honey, beets and grapes. Very good. Best part of meal. Glad to finally be eating with someone that can have cheese! Had the otoro-tuna appetizer with uni. I love uni. But this was not good. The tuna is supposed to be the best fattiest part of the tuna...but maybe it was the combination of the uni that made this taste very fishy...yuck. For pastas we had the sweet breads and the stuffed mushroom. We finished it--just too salty and saucy for me. Dessert was pretty good--Im glad we did get the almond cake with the whip cream and cherries. Put a smile on our face. Over all experience was just 'meh' after reading all the reviews. Didnt ruin our night, but didnt leave us with a bang. Lower your expectations...it might turn our better for you.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.297045455; Sentiment_Subjectivity (from 0 to 1): 0.670681818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Not your typical mexican joint. Dont be expecting the traditional rice and beans etc. This is a more fanciful menu, but definitely good-- and busy! Dont be scared of the hipsters. They dont bite. I would come with an even party, and not a large one. Tables are TINY for the amount of plates and drink you order. We were told the wait would be 45 minutes, at 7pm on a Tuesday night, but were seated in 15 minutes. Luckily waiter will take down your name and number and call you back if it really was 45 minutes. Based on reviews we tried 3 margaritas: grapefruit (+++), habenero grapefruit (++but wow definitely spicy), and the traditional (cant go wrong). Shared the guacomole (agree with yelpers, good) and the fish tacos (i mean its 3 small tacos, but they really packed in the meat!). Next time I will try the squid and al pastor as main courses instead of appetizer. For main courses, we opted for the Sopa De Pollo (not your ordinary Progresso soup. Fresh ingredients, liked the cilantro), Chile en Nogada (poblano chile stuffed with shredded pork (it was actually ground pork) pears, apples, raisins and almonds) and the chicken-- which was by far the best chicken Ive had in a while-- the skin is so good!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.09921255; Sentiment_Subjectivity (from 0 to 1): 0.50953001 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ive been here for lunch and dinner and cant decide which one is better. Most memorable dinner dishes: maple + bacon roasted almonts, sausgae from espositos, duck meatloaf (classy not classic). Linguini? Pass. Drinks? Strong. Most memorable brunch dishes: hands down, pecan pie french toast. we both ordered eggs, and shared the french toast. scarfed that down first. rib hash and egg huntington was good, but pecan pie french toast stole the show.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.239259259; Sentiment_Subjectivity (from 0 to 1): 0.454074074 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 move to Red Hook for Petite Crevette. It's daily catch of seafood. The board always shows the daily specials which is worth a try. Favorites have been cioppino, red snapper, tuna burgers-- and whoah-- the meat burger really rocks. Atmosphere is so cozy, warm and intimate-- very date worthy. Cash only, no delivery, but you can take out.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.136111111; Sentiment_Subjectivity (from 0 to 1): 0.379166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Ive been to dinner and brunch here, and would never go back for lunch. They serve everything room temperature (menu did warn me, but who knew it would taste bad?)....which basically tastes as if they made it in the early morning and schleping it out as orders come in. Dinner however was better-- despite the long wait, cash only, and...again, the long wait.  Luckily they do have a very nice backyard, bar, and wine selection.  I'd recommend all of the crostinis, the cured meat tasting, and wow the meatballs.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.19037037; Sentiment_Subjectivity (from 0 to 1): 0.603703704 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: NY Times categorized Good Fork as Asian, Korean. This is not Korean. You've got Korean, Vietnamese, Italian, American...it's kind of all over the place, and I just didn't like it all that much. If you want Korean, go to Seoul Garden. If you want Vietnamese go to ThaiSon. For Italian go to Fragole, and American go to Shake Shack. I get it, they are trying to be a fusion of cuisines, but nothing melded together. It felt as if we ordered from 5 take out places and we were eating it all together bc we were indecisive. But if I had to judge the plates individually and not as a cohesive meal, it was alright. The dumplings are definitely worth the trek-- but 1. too bad its only an appetizer and 2. its only about 4 for $8. The diver sea scallops were good, but they were 3 small ones. The Vietnamese spare ribs, came off the bone nicely, but the sauce was not marinated into the ribs, so the meat had no flavor, bc the sauce was only glazed on. The halibut was actually not bad, but Mermaid Inn is way better. Nothing stood out. It was definitely edible and we were full. But is it worth the trek to Red Hook? Maybe no.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165909091; Sentiment_Subjectivity (from 0 to 1): 0.462878788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very small restaurant, so be ready to wait. Went here for brunch for the $14 prix fixe brunch. Staff was very friendly and attentive, constantly filling our water. Worth waiting in line for 30 minutes-- maybe not an hour though. Food was creative-ish. For example, I had the wahoo fish cakes (mixed with fish and potatoes), that came with 2 poached eggs (perfectly poached), a bitter salad with sweet salad dressing (great combo) and then a home made blueberry bread (not overly sweet). I feel like I had a sampler for brunch! Very good. My friend had the duck confit that came with cucumbers, guac, and a side of fries-- but the dressing for the fries was like tomatoe/carrot based puree? Didnt bother asking for  ketchup, it was good! We also shared a side of slow cooked pork (we both wanted the pork sandwich on top of our main meal, so we opted for a side dish instead). Id get the sandwich next time for the full impact. Next time, Im definitely trying one of their sweet dishes-- the pancake looked amazing!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.310942029; Sentiment_Subjectivity (from 0 to 1): 0.522463768 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, but since my main entree wasnt stellar, I am rounding down. Ate there on Saturday,1030pm reservation...yes, very late dinner, but that was the only time available and the restaurant was still packed. Service was exemplary. Food wise... 1. Grilled Sardines Tartine-- We'll, youve got to love sardines. I thought it was very strong in taste but overpowered our other appetizer. Kind of had to really swish the taste out of your mouth before trying a bite of something else. 2. Chicken Liver Foie Gras-- Tasted like chicken liver, but not a mixture of foie gras. Ive been on a chicken liver comparison kick and Balthazars is just 3 stars. It was definitely creamy, but it was missing a hit of specialness which I thought the foie gras would have added. VHH still has the best. 3. Duck Sherpherds Pie-- Probably the best Ive ever had. 4. Roasted Halibut-- Nothing spectacular, yet $6 more than the Shepherds Pie... 5. Strawberry Rhubarb Tart-- The best in the world!!! Clearly, Balthazar lives up to it's Bakery name. Food wise, I think it's just a scene. Pricey does not always mean yummy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.211877778; Sentiment_Subjectivity (from 0 to 1): 0.586055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 vegetarian, congrats, you can finally eat at a (fusion) ramen shop! Vegetarian ramen was actually pretty spectacular as was their kale salad. Pork ramen tasted like bacon soup. Call it bacon soup and maybe I'll change review to 4 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.283333333; Sentiment_Subjectivity (from 0 to 1): 0.966666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 itself (read the 2-3 star ratings below) are all true. It's not that great for NY standards. If you want Indonesian food, it's better to just go to Astoria. I was thoroughly annoyed with our server, quality of food and price of Selamat Pagi. We made reservations for 6-830 (they requested us to be done at 830)-- yet the food did not hit our table until 745PM (starving in the meantime) and we were forced to stay well beyond 830PM. Considering we practically bought out the whole restaurant ahead of time (20ppl), you'd hope that they would be better organized. AND they prepared the menu for family style, it wasn't as if all 20 of us ordered different dishes. Why does it take a 1 hour 45 minutes to bring out--- deviled eggs. Or--cold green bean salad? Or ---even soup! These are items that can be made in advanced.... The portion size for family style is also sparse. Want seconds cus you've been sitting there for now 2.5 hours and you really want dinner (not bc the food is mind blowing)? Too bad. We ended up having to order bottles of wine and cava in the interim to kill time and when we asked if we could get comped for a bottle (since we hadnt been fed in 1 hour 45 minutes) the waiter laughed. Seriously? You couldn't count the proper amount of silverware to give to us. Worst waiter ever. At the end the check was $60 a person. This is not high end dinner people. $60 dollars?!? While majority was probably alcohol-- even that wasn't worth it. Come, expecting the worse.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.024561404; Sentiment_Subjectivity (from 0 to 1): 0.493333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: In general brunch is 3.5 stars (normal brunch food) but the PANCAKES gives Cafe Luluc the full 5 stars.  I dont know how they make it so thick yet so fluffy; it's one of the best pancakes Ive ever had (besides Chestnut's oatmeal pancakes....yumm...but the 2 are different pancakes altogether). Again if  you order anything else on the menu besides the pancakes, pls remember Cafe Luluc is only 3.5 stars.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.13125; Sentiment_Subjectivity (from 0 to 1): 0.559375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. If you missed out on the lobster rolls from Red Hook Lobster Pound at the Dumbo Flea Market  today-- be thankful you can go back every Sunday starting today, 11 am-5pm. Fresh from Maine with New England baking! Yes, we waited at least AN HOUR in line, under the hot sun, but so well worth it!! You've waited longer at Mary's Fish Camp and Pearl havent you-- I have! But get this-- I honestly think LP's is so much better than any of those city lobster rolls. Why? 1. They stack on that lobster meat!  As we were paying the cashier noticed that one of our orders could use a little more lobster, so she threw on some more without us even asking! Great customer service. Not too mayo-y either. 2. The buttered bread! Neither Marys or Pearls use the toasted JJ Nissen Roll. It's a top split roll that just soaks up that butter and is still warm as you bite into it. 3. New condiments like lettuce, celery and green onions were really refreshing. 4. Only $13 for one roll fills you up. My brother had 2 and that was over the top. Marys, Eds and Pearls charge at least a good $32 right? Who needs the damn fries? You come for the lobster meat!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.282495942; Sentiment_Subjectivity (from 0 to 1): 0.517792208 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: loved the food and drinks, but the people scene is ridiculous. ill just keep my eyes on my food and drinks filled. came on a friday at 630, to skip the late night wait. was seated in 15 minutes upstairs. waiter service was great. for drinks i had the salty dog (grapefruit cocktail) and a 2nd with orange juice (forgot the name but that was killer! so good!). food wise, wow-- started with deviled eggs (it was just okay, but only 3$ so oh well), chicken liver (honestly so smooth and not gag me liver taste. best ive had in NY), and special of the day, pork cheeks bruschetta (i love babbo's beef cheeks, and spotted pigs pork cheeks are almost as nice). entree, we had shared the burger and quail. burger was cooked perfectly-- and doesnt come with lettuce/onions/toppings-- nor does it need to. the meat itself is good with shoestring rosemary fries of course! and the quail...this is my first time having quail...it doesnt taste like chicken...maybe the texture is like a frog...but nonetheless fun and just enough as a tasting plate since we shared the burger. and to top it off-- yes we are glutinous-- we shared a lemon lime tart.  great way to end the night...yum.....; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.356952381; Sentiment_Subjectivity (from 0 to 1): 0.674190476 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I ordered Mooncake for lunch 4 days in a row...so I feel obligated to say how much I love eating here. It's under $10 fusion food with the best cilantro dressing and...whatever sauce concoctions they come up with. Even though the wait staff is very good and efficient, I just dont recommend eating in since its real small and claustrophobic. Take out and delivery is the best way to go. And oh, bring cash! Here are my top 6 picks in no particular order: 1. Beer Braised Beef Shins--sounds funky-- but regular beef is always tough-- beef shins are OMG melt in your mouth. And it comes with a HUGE salad portion. Doesnt taste any different. Its just melts in your mouth. 2. Smoked White Fish Sandwhich-- it's like a Vietnamese sandwich but with fish. Be warned that fish is not a filet, but more like a tuna salad version. Very good, reminded me of banh mi. 3. Tuna Burger-- I like it for the wasabi mayo. This is safer than #1 and 2. 4. Spicy Hoison Fish Taco-- wow. Hoison sauce makes everything taste yummy. 5. Thai Steak Salad-- omg. This is not a girly salad. This is meat. Meat, meat and meat. With salad. Very good. 6 Miso Glazed Salmon-- again a safe plate, but who cares. The dressing is sweet and tangy! What I would NOT order: 1. Octopus with Spinach Noodles-- noodles yummy. Octopus? Im all game for seafood, but they need to cut those down to smaller pieces! 2. Tuna and Arugla Salad-- all salad, barely any tuna 3. Steak Sandwhich- some people thinks its good, but I thought it was extremely salty. maybe that way a accidental mistake.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.245588889; Sentiment_Subjectivity (from 0 to 1): 0.546899145 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 gnocchi and panna cotta definitely made the trip to Lupa worth it. Order anything else and it could easily be a 3 star.   Came in on Wednesday after work 6ish, no reservation and we were seated without a problem, no wait. Service is really attentive; ate for 2 hours and did not feel rushed at all. A caraf of Morellino, which is comparable to a dry Merlot paired very well with our meal. We ordered 3 pastas: the gnocchi, special of day tagliatelle with braised pork, and linguine seafood. The best of course was the gnocchi. I like how yelpers call it soft pillows, bc they are indeed that way. The tagliatelle was good, but could have done without the linguine. All I tasted were noodles, where were the clams? Next time we'll just order 3 gnocchi's and skip the rest. And bc the special of the day for secondi was duck confit which I have never had, we shared it. This was a good size drum stick of a duck--and very moist--but I'd skip it and get another dish of gnocchi. We were definitely full by then...but whats a meal without dessert? I know everyone raved about the tartufo, and it was definitely good icecream-- but have you tried the panna cotta???? The black peper and rhubarb meld so well into each other, Id confidently say that it is better than tartufo. Oh but I'd skip the spiced dates mascarpone--go to a fruit market instead.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321964286; Sentiment_Subjectivity (from 0 to 1): 0.490892857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For $4 noodles and 10 dumplings for $3, who can complain? The place seats about 26 people, strangers sitting with strangers, and it was pretty packed this Sunday. We ordered the spicy beef noodle and oxtail noodle which were pretty good. What stands out is the broth (the chili sauce adds a great kick), the great texture in the hand pulled noodles, and the juicy/sweet pork/chive dumplings. The food is seriously authentic. And dont be afraid if you dont speak the language. Although the lady has a hoarse voice, she is not yelling at you-- and there is an English menu as well. My one gripe was that the table we took was not properly wiped down after the guy left all his lamb bones on the tables.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.231313131; Sentiment_Subjectivity (from 0 to 1): 0.558080808 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Reviews for this place have been very accurate and definitely earns its right to 4 solid stars. We all got the bronte burger-- and the sweet chili sauce enhances the expirence of your medium rare burger with ciabatta bread. Mmmmm... And I wouldnt worry about what you wear, per some comments-- youre there for the food. But the seating is definitely limited-- roughly 16 seats.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.160535714; Sentiment_Subjectivity (from 0 to 1): 0.506488095 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 'hidden' gem in the neighborhood. This is always our go-to place for brunch (dinners not bad either but smaller portions to my liking). Very packed and lots of strollers, but worth the wait. My favorites (never had anything bad) are smoked salmon over thin layers of sliced potatoes which comes with a side salad. The other one is the egg with sausage and broccoli rabe...that will definitely keep you full. We like the truffled egg sandwiches too, and the pickled vegetables that comes with it too. And bc it takes 30 minutes for them to make the baked eggs with tomatoe and spinach without cheese-- weve never tried it but it looks amazing, and I am jealous. Bloody Mary wise...its okay. It doesnt have as much kick as say Char4, but it'll get you going. Id stick to a mimosa. What I like about the interior is that they have floor to ceiling windows so even on a gloomy day there is light-- and on an especially pretty day it feels like youre almost outside-- but youll have AC!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.122685185; Sentiment_Subjectivity (from 0 to 1): 0.521759259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: No substitutions allowed. How they designed to make each sandwich is the way you get it, regardless of allergies. Sucked for my friend, but I respect that. BC my friend was allergic to carrots-- ingredient in every sandwich-- I was only able to try one. The special of the day: mackerel. (Came back 8/22 -- had the shrimp--great! Will seriously have to try the whole menu). The sandwhich is probably only 7" long, and you THINK its small, but it is STACKED high. Better than Baoguette's in my opinion. I am definitely coming back to try the whole entire menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.085587302; Sentiment_Subjectivity (from 0 to 1): 0.508539683 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quality food, inexpensive ($), substantial portion, super friendly service, opens late. Done and done. Agreed that the fish, veggie and fried chicken tacos (3 for $10)-- and gnocchi are delicious. 5 stars!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.161666667; Sentiment_Subjectivity (from 0 to 1): 0.743333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tempted to give this a 2 star bc of the lack of attention from our waiter Matthew-- but I'll keep this strictly as a food review. Im giving Matthew the benefit of the doubt that he had a bad day. Based on 5 star reviews from yelp and other online reviews we were planning to get blown away-- and we should have bc when youre hungry anything tastes good! 1. Complimentary Bread-- The best part of the meal--warm focacia bread with tomatoe sauce. This gave me high expectation for the appetizers. 2. King Prawns-- 2 fairly large sized prawns-- but over cooked, tough, and not sweet. 3. Chicken Liver Crostini-- Generous amount of chicken liver-- but taste wise...it was kind of flavorless and the texture was a little too creamy for me. Plating wise it looked like a science project of amoebas. Good, but not better than VHH. (Wanted the blue crabs, but Locanda was out of it. Lamb sliders were tempting but the portion was so small.) So with appetizers being a dud, we still had hope for the entrees. 4. Orecchiette with rabbit and peas-- I liked this-- thought it was well seasoned-- but this alone would not make me come back. 5. Chicken for 2-- Normally we agreed that we never order chicken bc its something you can cook yourself or get at Gourmet Garage...but...it was actually kind of amazing. I loved that the skin was smothered with garlic and rosemary and that even the white meat was juicy. For $20 a person it's expensive, but we couldnt finish it, so we took it to go-- technically it was $10 a meal. But again, it's not really 5 star worthy bc you can easily get a just as good rotiserrie chicken from Baden Baden for cheaper. Dessert-- yeah we didnt bother. With nothing that we ate screaming WOW...whats the point of dessert?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.092558957; Sentiment_Subjectivity (from 0 to 1): 0.607911565 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: From the outside everything looks real snooty-- but dont let that stop you from coming in! Ive been here twice--brunch has kids and dinner its more adult but very friendly staff and bartender.   Bloody Mary is the best-- love it with the pickle. I'd say it was up there with Prune's bloody marys. The thick cut bacon will give you a heart attack. But they smoke everything in house-- so how can you resist? I'd skip the pork nuggets (its only $4) bc its all fat and soft-- I'd rather get McDonalds chicken nuggets.  And the side vegetable of squash tasted very...thanksgiving? Too much cinnamon or something for me. But what you should DEFINITELY get is the cured lamb pastrami-- OMG. They top it with mustard greens that give it just the right bite. My BF ordered the beef links which were the second best. You have to eat the sweet onion, with the side and beef link in the same bite-- delish texture and flavors! My pork sandwhich was also good but no comparison to the other 2. I liked that they had a side of sauteed onions and sweet peppers, and teh beans tasted like they added a bit of bacon. Yum. We also tried 2 drinks. its all about whisky. Cant remember the names, but the 1st one on the mixed drink menu is too sweet, but the one after it, is just right.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.176211735; Sentiment_Subjectivity (from 0 to 1): 0.498086735 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Visually the food looks amazing. But it was just too salty for me--especially the parpadelle. The mussels were served very generously, but too meaty for us so we barely ate any. Best was the complimentary bread (served in pot), mozzarella crostini, staff (friendly as hell), and drinks (had 4 different ones, all were excellent). But food? Meh.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.391666667; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 cocktails, good food, good service. come with a group of friends or a HH date. avoid if you do not like the finance crowd.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.733333333; 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: Damn. Be warned that the weekend is super crowded. No reservations. We went at 9PM and they had already stopped seating. Wednesday at 730PM still had a 45 minute wait. They do text you when seating is available which is a nice gesture. Other than that, food, drinks and service were fantastic.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.321666667; Sentiment_Subjectivity (from 0 to 1): 0.668333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Oh Ippudo, I hate the wait (average 45 min) but definitely think the wait is worth your $13 miso ramen (egg +$2). Had the omakase appetizer-- but thought the chicken wings with spicy sauce was 10xs better (3 other tables ordered it too). Go with no appetite, bc the wait will surely build it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.03125; Sentiment_Subjectivity (from 0 to 1): 0.576736111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is fresh & tasty!  There is very limited seating & they won't seat until entire party has arrived (even if you are a party of 2!).  The Fresh Mint Lemonade was very refreshing!  Recommend the 4 cheese pie, Greek Salad and the Chicken Sandwich.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.113520408; Sentiment_Subjectivity (from 0 to 1): 0.537244898 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 ate here this past Saturday and the food, service & ambiance were superb.  Try the Porchetta (poached eggs over roast pork set ciabatta).  We kicked it off with a Brioche & it was soft, sweet, light... MmMmmm.  The Honey Phoenix Oolong Tea was smooth and hint of honey, fantastic.  The waiters were efficient and attentive.  This is my new favorite spot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.356136364; Sentiment_Subjectivity (from 0 to 1): 0.670454545 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 chanced on this litttle joint & luckily did not have the nightmarish wait in line that other yelpers experienced.  We were quickly seated & ordered our noodles.   I had the spicy ramen which had 2 pieces of torro & one piece of seaweed.  It was perfect, not crazy spicy... just flavorful enough.  My friend had the miso ramen & it was a perfect balance of deep smooth broth, one hard boiled egg, torro slices and miso meat sauce.  Very very good.  Comparable to Ippudo, if not better.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.339230769; Sentiment_Subjectivity (from 0 to 1): 0.671538462 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good, but average.  We had the crawfish hushpuppies (pretty good), deviled eggs (not bad), chicken salad (my friend loved it), pork chop (very tasty), mussels (yum) & goat cheese ravioli with pesto (friends loved it).  The spinach was very average but the brussel sprouts were tasty.  Overall, average.  We think most people came for the ambience (i.e. loud conversation, packed bar area & frustrated looking people waiting for their table).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.160333333; Sentiment_Subjectivity (from 0 to 1): 0.569111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 threw my friend's bday brunch here.  Extra Virgin took RSVP for a group of 11, which is amazing in the city.  But they have a strict policy, entire party must be there to be seated & if you aren't all there 15 minutes after your time, your time is given away.  There was a long long line outside, but luckily we arrived on time & we were whisked away to our table.  The staff is very efficient, friendly & they know what they are doing.  We were not rushed at all.  They even helped us put a candle on dessert to celebrate.  Fabulous banana french toast.  We will be back for dinner.  Jewel of a restaurant in the west village!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.150694444; Sentiment_Subjectivity (from 0 to 1): 0.425694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 were very happy here.  we went saturday morning with reservations, but rsvp not necessary.  they seated us immediately.  the ambiance is laid back & classy.  biscuits were warm & came with sweet butter, marmalade & a cranberry (?) jam.  everything is homemade or locally bought.  i had the pastrami & fluffy scambled eggs.  the eggs were fantastic!!  And the pastrami was perfect!  wait service was just right, not intrusive at all.  waiter assistant mistakeningly threw out leftovers we wanted to take, and they cooked us a whole new plate!!!  now that is service.  one minor thing, my bro got chicken sausage & it was a tad too thick, but the taste was fine.  i would definitely go back!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.205206454; Sentiment_Subjectivity (from 0 to 1): 0.553625541 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Although they don't take reservations, they will take a "call-ahead" reservation about an hour in advance.  The wait staff were all very sweet, friendly & accomodating.  The Mac & Chicharron was very very tasty.  Guacamole fresh with mix plaintain, sweet potato & tortila chips.  Tres Leches Cake with mango was light & fluffy, a nice finishing touch.  We were a large group and not rushed out.  Yay! I'm a fan.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.311984127; Sentiment_Subjectivity (from 0 to 1): 0.601507937 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!  We had the grilled calamari (which was seasoned just right), fresh mozarella and tomato salad (light & perfect) and the ravioli.  The OJ is minute maid and they don't take credit card but otherwise - perfect!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.605102041; Sentiment_Subjectivity (from 0 to 1): 0.712244898 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 were very excited to try Porteno's because of the 4.5 stars given by fellow yelpers.  The main entrees were not very good, slightly less than average.  Let's start with the good stuff, the stuff that deserved the stars.  Wait staff was nice.  Decor is cute.  The desserts were fantastic (peach tart & bread pudding w/ gelato).  The appetizers were average.  Empanadas were okay (beef) and the salads were alright.  The main entrees were a supreme disappointment.  oh my goodness.  Salmon, boring.  Roasted Chicken, dry (but flavored well).  Penne w/ Mushroom, bland needed salt.  Matambrito con Papas Doradas, worst than cafeteria food.  Sea bass, not too bad.  We were not impressed, not at the very least.  It was my friend's birthday & I was embarrassed for choosing this restaurant.  embarrassed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.10856352; Sentiment_Subjectivity (from 0 to 1): 0.656357809 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic meatballs.  We had the special with mushroom sauce.  Just perfectly flavored.  And the slice of bread with it.  PERFECT.  We order side of polenta, which was positively heavenly.  Mashed potatoes were good. Spinach was plain, but helped balance all the flavors.  Risotto not worth it, my friend's sangria was watery tho & the bar tender was grumpy, no smiles at all.  geez.  Meatball makes it worth it though!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.434007486; Sentiment_Subjectivity (from 0 to 1): 0.574891775 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: great food!  love the miso salmon dish!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.98828125; 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: We enjoyed our dinner here.  Our waiter was knowledgeable and a funny plus nice guy.  The place got packed really fast and we noticed that restaurant surrounding were not as filled up.  The kosher octopus was good but the sause underneath was a tad too salty.  The Falafel was very good.  The Coucous del Mar was FANTASTIC, especially the shrimp.  And they are kid friendly too. Food was tasty but I was very thirsty the rest of the night...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.412272727; Sentiment_Subjectivity (from 0 to 1): 0.752727273 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very pretty decor also has a enclosed garden space.  We ordered the Chicken Tangine with couscous (yum) portion was small and good for a light dinner.  Also had the organic garden salad with apples, beets & greens (very fresh).  cute place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.209285714; Sentiment_Subjectivity (from 0 to 1): 0.757142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Shawrma on whole wheat pita is EXCELLENT.  It's so much food, I can barely finish.  You can add stuffed grape leaves to it, which is a plus.  The fixings are super fresh and the lien moves very fast.  They also have 10% student discount, but the cashier always has a difficult time applying it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.230416667; Sentiment_Subjectivity (from 0 to 1): 0.580833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: food quality is great, service was nice and the timing of the food was perfect.  We had the hot pot with Berkshire pork belly & ramen (broth was delicious, ramen was "eh"), the deep fried chicken (sauce was fresh & tangy), snow crab cream croquette over Japanese sweet potato sauce (quite delicious, the Japanese sweet potato  was akin to a tasty apple sauce & the croquette had a nice/light mild taste of snow crab), grilled toro salmon (bit to well done) , the dessert tasting (creme brulee, black sesame ice cream & cheese mousse) was good.  we especially liked the creme brulee.  definitely make reservations.  while we were there, people were turned away as every table was reserved in this teeny tiny place.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.364035088; Sentiment_Subjectivity (from 0 to 1): 0.646491228 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food is average, nothing to go ga-ga over.  The seating is terrible.  They squeezed too many people into small tables.  We were a party of 5 and they forced our group into a table for 4, and I was left sitting RIGHT in front of the kitchen ~ HIGH TRAFFIC area.  It was steamy hot and the waiters kept bumping into my chair and they brought out HOT STEAMING dishes over my head!!!  I didn't mind as long as they didn't pour anything on me.  But why would they take that risk?  And the waitress rushed us through everything.  She really forced her face to smile because what she really wanted to do was take our wallets and kick us out.  We totally did not enjoy our dinner and definitely have had better of everything that we go (kim Chi Soon Du Bu, seafood pancake, etc etc).  If you find yourself heading into this one, turn around... TURN AROUND...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.024110863; Sentiment_Subjectivity (from 0 to 1): 0.468095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Their Skirt Steak sandwich was fantastic!  The steak was grilled to perfection, and slapped over a mayo cucumber & carrots.  It was just perfect & hit the spot.  Looking forward to trying other items on the menu!!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.418619792; Sentiment_Subjectivity (from 0 to 1): 0.758333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wait staff are SUPER DUPER nice.  The food is average though.  We had the mussels with African spices and didn't really taste anything.  The wild mushroom risotto was very tasty.  But the clay pot chicken was too salty.  The Crepe with nutella, bananas & strawberries was FANTASTIC!  So, we will try their brunch one day...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.131481481; Sentiment_Subjectivity (from 0 to 1): 0.535185185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Riverpark restaurant is beautiful!  Every detail has been thought out, down to their business cards.  The food was fantastic.  For brunch, we had the cinnamon donuts for a starter.  If you told me they were healthy, I would believe it.  The donuts were light & fluffy!  The chocolate sauce sent it over the top!  I had the BLT, very delicious & filling.  The view is lovely as well.  Good job Tom.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.471944444; Sentiment_Subjectivity (from 0 to 1): 0.663888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: aren't all deli meats created equal?  nope.  it's so delicious here that my husband won't allow us to get deli meats anywhere else.  unless it's sunday & lamazou is closed. ha.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3; 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: It was a 2.5 hour wait on a cold Thursday night but well worth it. Recommend: Fried Squid, Octopus Balls, seafood pancake & pancake trout w/ red bean paste dessert.  Also, thanks to all Yelpers who wrote about how to get a seat - extremely helpful!  Remember to sign your name on the list as soon as you get there!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.0590625; Sentiment_Subjectivity (from 0 to 1): 0.46 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 scones were pricey but really really tasty. worth the price.  Everything else was okay.  The waitress was super nice.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.386666667; Sentiment_Subjectivity (from 0 to 1): 0.493333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 soupy dumpling broth was clear & tasty.  But the wrap was a bit thick.  We ordered fried salt & pepper squid (not bad), homestyle bean curd with meat (over sauced), shanghai bok choy sauteed in garlic (perfect), fried salt & pepper pork chop (okay), shanghai noodles stir-fry (not bad).  Prices are reasonable, wait staff is helpful & decor is nice.  Good place to go with a group of friends (large or small), they leave you alone to your own chatterings.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.338690476; Sentiment_Subjectivity (from 0 to 1): 0.643353175 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: An hour and a half for a bowl of ramen is just not worth it.  We will come back if there was a shorter wait.  The Spicy tonkatsu ramen was very very good - while it was hot.  Once it cooled down, it became a bowl of salty water.  But not too bad if the wait was less.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.022361111; Sentiment_Subjectivity (from 0 to 1): 0.364861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: INCREDIBLY rude. So rude you know they are TRYING to be rude. I place a large phone order for our office, well over $100 worth of food, and the entire time on the phone the guy was as rude as possible. The culmination of the rudeness was so surprising that I'm not even angry, I'm just shocked: After ordering 6 entrees already, I said: Oh I'm sorry I don't know how to pronounce the word for the cheese triangles, how do you say that? GUY: Cheese. Triangles. There are no words. That kind of rudeness is purposeful! That said, the food was good, although the portions were TINY, especially in comparison to the price. Everything we ordered said it came with pita, but we ordered 10 entrees and received ONE PITA cut up into 10 pieces. No joke. They sent these covered almond dessert things in the bag and I kept trying to figure out how they can be skimpy with PITA, which is so cheap, but then give us a handful of almond for no reason? I'm sure the almond things were more expensive than the pita . . .; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.033214286; Sentiment_Subjectivity (from 0 to 1): 0.682123016 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I absolutely love this place! The food is amazing and I love that they import all their ingredients from Spain. They sell the ingredients in the grocery store and use them to make sandwiches . . . you get to sample olive oil while you wait for your sandwich! Everyone who works here is very friendly, too. And the prices are reasonable, $8 for a big chorizo sandwich is a great price! (but their soup is expensive, fair warning!); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.434722222; Sentiment_Subjectivity (from 0 to 1): 0.644444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 an excellent addition to this neighborhood -- not too pricey, great food, and really good service. We've been twice since it opened just a month ago! Everything we had was really good, even the "plain" salad was interesting and flavorful. They've just started being open for lunch and I had their "grilled cheese" which was to die for, I would eat that everyday for lunch if I could!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.426339286; Sentiment_Subjectivity (from 0 to 1): 0.613392857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 prices are kind of insane but the food is good comfort food. I've had breakfast items and lunch dishes here and both were satisfying and well-made. Their coffee is kind of gross though and the biscuit that came with my scramble was shockingly heavy and hard (I make better biscuits than that when they come out bad!). Their giant apple pie is really good but I haven't had any of the other pies . . . next time!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.079166667; Sentiment_Subjectivity (from 0 to 1): 0.613095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food here is awesome, the service is friendly and efficient, and the place is adorable! The only negative is that it's cash only, which is really annoying . . . if they took credit cards I'd eat here at least once a week!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.065625; 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: Amazing! I love the idea of the local seasonal menu and all the ingredients were top-notch. The beer and wine list was inspiring as well! For an appetizer we split the beef Carpaccio salad which was inventive, light, and delicious. I had the pork porterhouse which was a huge portion and deliciously seasoned; it was too big to finish but I sure tried. The orzo and olives on the side was as delicious as the pork. The waiter was kind of weird and awkward, but other than that this place was amazing and I would definitely recommend it to anyone who's really into food for a nice dinner or a special date.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.366233766; Sentiment_Subjectivity (from 0 to 1): 0.71751443 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 10 seats. genuinely friendly staff. but the food, the food was super fresh, homemade, and rich with flavor. their homemade taramosalata was marvelously salty. my souvlaki was yummy and fresh. def returning.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.447222222; Sentiment_Subjectivity (from 0 to 1): 0.652777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: reminds me of post-mass sunday buffet at my korean church when i was growing up--a wide variety of korean staples with as wide a variety in terms of quality (i let my eyes order for me and bought twice as much as i needed). i give it four stars for all the choices and relative low cost. have only been once. may add or delete star based on subsequent visits. upon several subsequent visits i stick to my original rating. there are so many options you can only blame yourself if things go wrong. i recommend the warm rice treats just to the right of the registers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.084047619; Sentiment_Subjectivity (from 0 to 1): 0.445714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been over 5 years between visits, and i have to say the food hasn't gotten much better: very middle of the road, salty. i forget what my entree was called, but it had to do with chicken in cream sauce in pastry, pastry which was tres tough, unpleasantly so. my onion soup wasn't bad, though. the best part of the experience was sitting outside under a pleasant moon facing pleasanter company with a self-provided glass of excellent pinot. it's the idea more than execution here, an idea worth revisiting in a pinch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.141203704; Sentiment_Subjectivity (from 0 to 1): 0.568055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: went for brunch with my fellow yoginis after class today. ordered the feta, spinach, kalamata olive omelette. delicious fluffy omelette with perfect proportion of ingredients. as usual, the roasted potatoes rocked (possibly the best roasted potatoes in the city). shared chocolate cake for dessert. their whipped cream is special. orlin has one of the better brunches in the city. i've been coming here for over 10 years and the quality has remained consistently good thru-out, which is why i'm giving them 5 stars. they have great sandwiches and the dinner entrees are solid. the prices are very reasonable, too. great low-ceilinged, exposed brick wall interior.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.459010989; Sentiment_Subjectivity (from 0 to 1): 0.615494505 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: [following satisfied greasy, gristly throat clearing] a most excellent cuban sandwich experience. walked in and sign just inside says "wait here to order cuban sandwiches." woman behind counter asks, "cuban sandwhich?" to which i nod and she says, "$6." 2 minutes later i'm walking out with a just-made sandwich. walk back to office, pick up chips, and enjoy. nicely toasted bread, and the perfect amount of everything, esp pickles (usually i'm disappointed by the amount of pickles on my cuban s'wiches, but not here). interior is totally old skool: long, narrow, trapped in the 70s; would look perfect in a photo album by eggleston.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.21875; Sentiment_Subjectivity (from 0 to 1): 0.534375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 space, excellent details, but food is very mediocre. i had the pizza tano (the anchovy with capers delight), which was ok. the group tried five different bruschetta, all of which were ok. ingredients just didn't feel fresh. but if you're in the area, you could do worse.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25625; Sentiment_Subjectivity (from 0 to 1): 0.68125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: went for brunch on sat around 12:30. if our 3rd had been there we would've been seated right away. after about 15 mins, we were seated at the center table. felt a bit rushed and was constantly bumped due to location. but whatever. food was what we were here for. and it was good. i had the fried eggs on polenta: warm, homey, pretty, filling and tasty. had a bite of my friend's french toast and will try on my next visit. forget what the meateater with us had, but i think he was wishing like a vegetarian. nice space. excellent transformation of what used to be The Old Devil Moon, which demise had saddened me.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.25467033; Sentiment_Subjectivity (from 0 to 1): 0.441849817 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: decent greek food.  i had an eggplant/ground sirloin special.  it was pretty good.  wish i had tried the lamb.  :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.328968254; Sentiment_Subjectivity (from 0 to 1): 0.63968254 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 dont know much about lamb, but I consider myself "experienced" when it comes to sangwiches. The chef here seems to also be experienced in the art of sangwiches. The bread on the lamb sangwich (which is only available during lunch or for takeout) is incredible. I don't even recall what other ingredients were involved, I was stuck on the bread.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.425; Sentiment_Subjectivity (from 0 to 1): 0.667857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sweet Jesus I love this place. Its a bit of a trek to get to, but totally worth it. I grab a 12 rack of beers at the market down the block (BOYB), post up at one of the 6 tables in the joint, and order a rotisserie chicken, rice, beans, and mofongo. Their self-proclaimed "best rotisserie chicken in Manhattan" may in fact be the best in Manhattan, and the authenticity of the rest of the menu, as well as the interior of the place, is undeniable. The beauty is in the bill, which will barely break $10.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.204938272; Sentiment_Subjectivity (from 0 to 1): 0.470987654 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A very cool little coffee shop. Good atmosphere, good design, good food/drinks, good prices. Minus one star because their free wifi is pretty slow.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.33175; Sentiment_Subjectivity (from 0 to 1): 0.6045 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sweet Jesus this place knows what they are doing. Ya know what I mean? They just get it. Nothing was off. Nothing was amiss. Everything was just fine and dandy. Nay! Everything was better than fine and/or dandy. I can speak of the bean toast, crab toast, baked lobster, fried organic chicken, roast squash side, and donuts. Perfect. All of them. I love the clean yet comforting decor too, but that was all but guaranteed seeing as ABC is involved and they know decor. *Side Note: The fried organic chicken (sounds like an oxymoron huh?) comes with a side of mashed potatoes and gravy. While the potatoes are delightful, notice the gravy. It is BBQ sauce gravy. You read that right. BBQ SAUCE GRAVY. How did it take this long for someone to combine the two!?!?!?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.256132669; Sentiment_Subjectivity (from 0 to 1): 0.690247253 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went here in the summer, which I think was a mistake. I also had a reservation - which again, was probably a mistake. GT (thats an abbreviation folks) is meant for the winter, and without reservations. Here's what your going to do: come here for dinner when it is blizzard-ing outside, sit in the bar area (there's alot of tables in the bar dining area, but they're reserved for those without reservations), take off your large wintery coat (one that preferably has fur...or faux fur...I guess the authenticity of your fur jacket doesn't really change the quality of your GT experience...in which case its probably best to go with faux fur...its more animal friendly...by more animal friendly I mean waaay more animal friendly...like "I'm not gonna kill you and wear your hide around" type of friendly...ok...I'm starting to sound like PETA...i digress...), and order the meatball. The inner-cozy-ness that you will feel is remarkable. You are in a classy NYC restaurant, but you will feel like you are on your grandmother's couch, and she just gave you a bowl of soup, and its snowing outside, and your looking into her just-lit fire place, and maybe she has some Sinatra on vinyl playing in the background . Jesus I am digressing my ass off on this review. Im done. Im putting an end to this. I'm clicking "Post"...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.301913265; Sentiment_Subjectivity (from 0 to 1): 0.419005102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 namesake noodles aren't that impressive, although watching them being made is fun. The dumplings though, are, a, steal. 12 pieces of perfection for $3. That's a quarter a dumpling! Having said this, I have yet to come across a dumpling that I didn't like, so, take it for what it is. They sell the dumplings frozen, which I plan on going back and buying. 50 dumplings for $8. I imagine cooking them requires nothing less than artistic talent, but at $8 I am willing to give it a shot.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.298611111; Sentiment_Subjectivity (from 0 to 1): 0.502777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: this place is fantastic. great food at a great price. If your a thin-crust-pizza-man like myself this place is tough to beat. The crust is more reminiscient of a cracker - which is rare as I'm sure you know. The lasagna was a little strange (I will admit I didn't like it that much) Their other pastas are good though. The pizza, prices and service really set this place apart.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.280662393; Sentiment_Subjectivity (from 0 to 1): 0.580555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would break down the meal, atmosphere, and service - as usual  - but to be honest I blacked out after the dumplings. My mind just couldn't hack it. I don't really blame myself, but rather the chef, for making too delicious of food. To the Chef: Tone it down sir, I would like to remember my meal... To prospective diners: Tread carefully friends...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.162698413; Sentiment_Subjectivity (from 0 to 1): 0.561111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 is good pizza. It is not 'the best in the world" or even "the best in NYC", but it is good. I will not name places with better pizza, lest you think I am an undercover yelping agent for them, but trust me, better exists. The history of this places is obviously appealing. If you are standing in line outside to soak up the history, that is ok, but if you are in line for "the best  pizza" you are misinformed. Also, do not order the breadsticks. They are horrible. I could roll up a slice of white bread, heat it in my pocket, and serve it to you with a side of ketchup and it would be better. I dont know how they could be so off.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.453846154; Sentiment_Subjectivity (from 0 to 1): 0.434615385 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: La Sultan crepe. amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Solid is the most specific and accurate word I can think of to describe The Green Inn. Everything is just solid. The interior is decorated in a rustic modern aesthetic, incorporating industrial lighting along with exposed brick and ventilation. And yet a flair of modern sophistication is enfused - presumably wannabe-Matisse lithographs adorn the walls, lux-drapes frame the windows, and stained glass (I think?...) is incorporated. Solid design. I cannot comment on the cocktails or wine selections, nor can I comment on most of the beer. I did however order a hefeweizen that was delicious. And where many restaurants overlook the beer glass, The Green Inn paid particular attention - which I appreciated. Solid beer-drinking experience. The food was also delicious; I can comment on the wild mushroom appy, the rock shrimp appy, and the Stacci (pasta with lamb bolognese, ricotta, and mint) - all of which were fantastic. The plates were served with good timing, and everyone seemed happy with their selections. Solid food. Typically I don't partake in dessert, but the table seemed set on ordering the ricotta cheesecake, accompanied by blood orange sorbetto. And while it seems like the ricotta would be a bit too much, it was in fact, delicious. The sorbet was delicious as well (but that means little coming from me - as I have a weak spot for sorbet). Solid dessert. Overall a solid little Sunday dinner.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2359375; Sentiment_Subjectivity (from 0 to 1): 0.431770833 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Absolutely fantastic, Snack was my oasis from work when I worked down in SoHo. If it's your first time their and you like lamb, you must try their braised lamb sandwich. Extremely tender and juicy, sometimes too juicy, haha, and amazing depth of flavor. You'll be going back to try everything else, which won't disappoint. Friendly staff!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.204774306; Sentiment_Subjectivity (from 0 to 1): 0.527777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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!! Favorites: Beef Brisket Stew Enchaladas with their fantastic Mole sauce, the only one I have ever liked to be honest. Haven't tried anything I didn't love. Wish I lived closer to this place!; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.527083333; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 value, great cuban food, great drinks too. I recommend the Churrasco if it's your first time going. But don't be afraid, everything here is very good and authentic. And I love the cuban music (sometimes live!); Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.458939394; Sentiment_Subjectivity (from 0 to 1): 0.679259259 [/INST] Not Spam</s>