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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: There have been many times that I've been in the K-town area and craved some hot Korean food, but loathed to actually sit down and eat at one of the wonderful restaurant options in K-town. Woorijip is like the oasis in the dessert.  Stumble in, pick up some snacks, some hot food  - like duk bok kee, jap chae, bulgogi, katsu curry, omurice, etc, kim bap and tons of drinks both alcoholic and not and you've got something to look forward to on the way home.  That is if half of it even make it that far...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.147777778; Sentiment_Subjectivity (from 0 to 1): 0.535555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to hate falafels, but I think it's mainly cause I'm not a fan of chick peas.  But then one day, my tastes changed, because this guy I knew made some and they were delicious. The ones at Mamouns were good, but not as flavorful.  I did appreciate that they were crunchy - that was good.  What I didn't appreciate was that it was busy, so I put my order in and stepped aside so that the line could move along and they promptly forgot to make my sandwich.  WTF? I waited until every one who had come after me had left and still no sandwich.  Meanwhile the guy that took my order AND my money was just standing there staring at me.  WTF?  I had to remind him and he was just like oh.  Not cool! Anyhoo, my falafel sandwich was good.  Fresh pita, stuffed with falafel balls that had a soft interior with a crunchy shell and topped with lettuce tomatoes and a creamy tahini sauce.  Good, but not spectacular.  I still like the ones my friend made better...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165494792; Sentiment_Subjectivity (from 0 to 1): 0.614583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really like Terroir's East Village location, so I pretty much knew that I'd likely be in for the same here in Tribeca. But, surprise! The Tribeca location is way more spacious than its East Village counterpart. And that's always a plus in my book! What I like about Terroir is that it has a casual ambiance, which is especially great when you're getting together for a chill night out with your girlfriends. But, on the other hand, if you wanted to come here on a date, it can also exude an air of intimacy, which I find a bit more true in the front room, which is made of mostly two top tables. I've seen groups here in the back, which is something you'd likely not be able to do at Terroir EV. I like that the staff is knowledgeable on the wines and most importantly that they pour you a taste before they fill your glass. I'm by no means a wine connoisseur, so although your description may sound delightful, my taste buds have the last say. And nothing's worse than paying $14 for a glass of wine you hate. Which is why I appreciate their willingness to let you "try before you buy." These guys have also recommended some really great wines that I think I otherwise would not have tried before. As for the food, I've tried a variety, but I'd say that they make some excellent bruschette. My favorite is the tomato, basil & egg bruschetta. It's fabulous - just order it! Seriously, I'd eat one right now if I could! Solid charcuterie plates and delicious red wine & oxtail risotto balls. We've ordered the saucy mozzarella balls and the fett'unta bruschetta (aka garlic bread) and used the bruschetta as a vehicle to sop up the last drops of the sauce from the mozzarella balls. So good! Happy hour prices have gone up from $6 to $7 for select wines and the free glass of sherry is now $2.50, but I believe Tribeca's HH is a full hour longer than EV, so I'll take it! And, I'll definitely be back. You'll recognize me with a glass of wine, shoveling that tomato, basil & egg bruschetta in my face...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.300955514; Sentiment_Subjectivity (from 0 to 1): 0.594141604 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 know you're in for something good when you can smell the fresh baked bread wafting your way when you exit the subway station. I don't think I needed directions - I could've just followed the scent over. Also, having lived across from an Italian bakery when I was growing up, the smell brought back many memories of my afternoon snack of warm, freshly baked bread after school. I first discovered Matt Tilden at an Elite event many years ago, when he was still baking out of the pizza oven at Toby's. I became reacquainted through a buttercream brownie at Brooklyn Flea and it's been a love affair ever since. Scratchbread is by no means convenient to get to from where I live, but I happily make the trek because I know my taste buds and tummy will be generously rewarded. Breakfast rules, as do the pizzabreads. But really, I don't think I've ever had anything bad. I go for the Mutt, the Cacio e Pepe, the focaccia - it's all good! Looking forward to Matt's new dinners as well. If his collabo dinner with Sara Jenkins was any indicator, those dinners will be fabulous too. Seriously, just go try something, anything! It's good stuff!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.313476874; Sentiment_Subjectivity (from 0 to 1): 0.516905901 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My new lunch spot!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.170454545; Sentiment_Subjectivity (from 0 to 1): 0.454545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend had been telling me about this place for forever.  Finally, one Sunday, we decided to meet up and go grab lunch. As it was getting late and neither of us had ate anything all morning, we decided to start with the Saborcito de Cuba plate AND the tostones.  The mixed appetizer plate included a papa rellena, two empanadas, two bollos, 2 shrimp fritters and two croquettas de jamon. Papa rellenas are one of my favorite snacks - a breaded, fried ball of mashed potato stuffed with ground beef.  This one is filled with picadillo which had raisins in it - yuck!  It was great until I bit into my first raisin.  Oh well...  The empanadas were good.  The bollos (corn and black bean fritters) and shrimp fritters tasted too similar for me.  And, the ham croquettes tasted like ham croquettes. The tostones (fried, green plantains) are served with ajo, a garlic sauce.  This was not the traditional ajo I was used to.  For me, ajo was always a garlic infused oil that still had the minced garlic steeping in it.  This ajo was a slightly creamy tasting, loose dipping sauce.  My friend likes to try and leave with a take-out coffee cup full of this stuff. We both ordered sandwiches.  They were humongous!  My friend got her usual - the bistec empanizado - and I was in the mood for fish, so I got the minuta con pan.  I tried hers and it was very good.  After letting me get my bite, she promptly killed her sandwich.  All gone!  I don't know how she does it.  I, having not eaten earlier and filling up on the appetizers, wasn't really able to eat much of my sandwich.  It was a perfectly fried piece of fish and I shoved half of it in me.  My friend helped take a few extra bites from my other half before we both gave up stuffing our stomachs. We were both stuffed to the gills and left with full, happy stomachs.  It's a bit of a trek so far east, but it's well worth it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.167309696; Sentiment_Subjectivity (from 0 to 1): 0.475496795 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 how I long for the days of working in Midtown just so that I could have lunch here... Other than that, I hardly ever find myself in Midtown. You know it's gotta be good when the room you're sitting in is filled with all Japanese people chowing down on katsu-don and katsu curry. It comes the closest to my Tokyo katsu experience.  I really must trek up there sometime soon for a fix... BTW, don't let the Daikichi type sushi joint fool you!  Just walk straight past it and through the curtains and you'll soon be in katsu heaven!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.061527778; Sentiment_Subjectivity (from 0 to 1): 0.395555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So meh that this review has been in drafts since February 2010... "I read about this place weeks ago and ever since, I was sooooo excited to try it.  Walked by the Monday before opening day, hoping to possibly get a sneak peek, but they still had the windows covered.  I'm sure they were still doing friends & family then, because I could hear the distinct sound of an extremely crowded dining room behind their closed door. I figured that they'd be slammed their first week, but on Friday, I was just finishing up errands and Joolz and I had decided to catch a late lunch.  At this point, it was nearly 3pm and neither of us had eaten yet.  I walked up to the door and was soooo disappointed.  They were closed until 5pm.  Argh! We headed elsewhere to grab a bite and then headed off to sit and just have some girl talk time.  Hours later, we decided to see it we should even try going back.  We put in our name on the list and wandered off for 45 mins.  When we walked back in, we were seated right away.  Woohoo! I understand the kinks with kitchens and service when a place is new, but this is ridic. The way you order at TMS, is that they give you a menu, you check off what you want, they bring it to you.  So, we do that.  I ask about the special meatball - they say they don't have one!  Why is it on your menu then?  Bah! We get our order.  I get the sliders - beef, pork and chicken and a side of broccoli.  Joolz opts for a veg slider, a beef slider and a side of risotto.  Now mind you, we ordered on two separate menus.  We didn't even get everything at the same time.  I get my plate of sliders and we both get our sides.  The waiter leaves and we're wondering about her stuff.  Five minutes later, he brings her plate. Okay. We both go in for the bite.  I seriously bit and instantly crinkled my nose.  What the hell?!  The owner must've seen my stank face because he came over.  I asked for differentiation on our sliders (something I think the server should have explained in the first place...).  So I ended up with two beef and the veg on my plate.  Joolz has my chicken and pork (which is what she bit into...) Now, my problem here is, what if Joolz was allergic to pork?  Or it was against her religion (ok, she's Korean. We all know pork is not against her religion.  C'mon, they're all about ssam gyup ssal, for chrissakes!)? As for me, I'm not much of a bean or lentil fan, which is what these veg balls were made of.  *barf* So grossed out. Even worse when you're not expecting it. Moving on... the spicy pork meatball - mildly spicy.  The spicy sauce, not a hint of spicy at all.  The textures of the meatball are a bit too much filler for me.  I like a more solid meaty ball.  All the sliders had sopping wet bottom buns from the sauce, yet I didn't really taste any sauce. All the food, barely warm.  My broccoli was mushy.  I thought the risotto was decent, but Joolz thought it was too al dente for her. Owner comes back as we're finishing with a veg and pork slider to replace the ones we ate of each others.  At this rate, i was just meh over the whole thing.  Cut a third of it and ate it to be polite and made Joolz eat the rest of it. So, as we found out for ourselves, the way to tell your slider apart - the toothpick frills are color coded: red - beef yellow - chicken blue - pork green - veg The special and salmon balls, you'll have to figure out on your own, since we didn't order any.  I'd say orange for salmon... Anyhoo, Joolz seemed to enjoy her ice cream sandwich. Bathroom was huge.  Maybe they could've made a smaller bathroom and then had seating that wasn't so close together.  I think I might as well have been sitting in the lap of the guy next to me... So not that great of an experience, but I'd be willing to come back after the kinks have been worked out.  The service - both kitchen and dining room - will probably improve in time. Next time, I'm getting the plain meatballs and no sliders.  They looked better.  Oh, and the hero looked tiny!  Might as well have been a finger sandwich.  It was only slightly larger than a slider..." I had takeout from them after this in 2/10 and it wasn't that much better. Yet to go back, but maybe when I run out of other choices or if someone else really wants to go. I'll update if that ever happens.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.084401016; Sentiment_Subjectivity (from 0 to 1): 0.432243312 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My secret (though not so much now...) spot for freshly made cheong fun. The rice noodle batter is ladled onto a metal tray and your choice of meat is added. I usually opt for the Chinese sausage and request corn (an additional charge) and ask for extra cilantro. It's then inserted into the steamer and minutes later, it's done. They scrape it off and chop it into slightly more manageable chunks and there you are - fresh cheong fun! At $1.25 per order, it's a steal! The other thing I get from here is fresh soy milk. They have it either hot or cold, sweetened or not. I always opt for the sweetened, hot soy milk because luckily, they don't overdo it with the sugar. You can also buy ho fun (wide, flat rice noodles) or tofu here as well...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.100104167; Sentiment_Subjectivity (from 0 to 1): 0.414166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I first heard about SoCo, I pictured a cozy space with comfort food served by a little old lady. Instead, the space is sleek and modern - in complete opposition to my expectations. I was warmly greeted at the entrance and waited at the bar for the rest of my party to join us. (Side note: I noticed this at the end of the night, but it's a great little touch - outlets underneath the bar, so you can charge up! Yay - it's the little things...) I ordered a SoCo Saint - grapefruit infused gin with St. Germain and grapefruit & lemon juices. It was fine, but seemed light on the alcohol and totally overpriced at $13 for the size of the drink. I switched to sweet tea and water for the rest of the night. For dinner, I had the 509 Caesar Salad. It's billed as a kale and romaine salad with parmesan cheese and cornbread croutons, but I only got the tiniest piece of kale that was not even the size of my pinky nail. It was also fine, but I was disappointed since I was expecting kale. Oh well. Next, Buttermilk Fried Chicken - organic buttermilk fried chicken served with a red velvet waffle. I only ate half of this since I filled up on salad and a piece of tasty, tasty cornbread. While the chicken was good, I thought the waffle could've been crispier. Also, it didn't have that hint of cocoa that I expect from red velvet cake. I was debating on it, but ended up taking the other half home. The chicken reheated well and the waffle tasted better after I crisped it up in my toaster oven. We got the okra & tomato side and shared the mac & cheese. The okra and tomato was surprisingly good. Not slimy and not overdone and mushy. The standout of the meal for me was the mac & cheese. It was the perfect consistency - not runny or dry. Perfectly cheesy and piping hot with a layer of cheese on top. I would travel here just for the mac & cheese! I was way too full for dessert and just took a nibble of the mini Brownie S'more. It was a mini brownie molten chocolate cake with a dollop of toasted marshmallow and a scoop of vanilla ice cream. I found the ice cream bland and the cake overdone. I felt bad, but ended up just giving it back to the waiter. How sad - the smallest dessert ever and I didn't even want to finish it. While the food is mostly lackluster, the service is great. The wait staff kept our glasses full and were just the right amount of attentive. Not sure I'd come back again for dinner. Maybe I'll try brunch, but I'd definitely cruise on by for more of that mac & cheese...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.094096268; Sentiment_Subjectivity (from 0 to 1): 0.584928266 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So I'm not much for going out for ramen, but since the weather was a bit chillier last week, I've been craving noodle soups.  There's nothing better than your face hovering inches above a steaming hot bowl of noodles while you slurp away happily. Unfortunately, Minca was a bit disappointing for me.  Don't get me wrong, it was tasty, but I guess I was expecting more. I ordered the Toroniku Ramen with Minca broth. The Minca broth was thick and salty.  There was definite body to this soup.   It's a pork, chicken and dried seafood mixed broth.  It's interesting to think that they call it a mild broth.  The one failure here - temperature.  The broth was warmish.  I wish it was piping hot.  That's the best part of noodle soups! The noodles were a bit thinner than the ramen I like, but they were not bad.  I'd agree that the ramen was a bit too al dente.  I like some chewiness, but these noodles could've used just the tiniest bit more cooking time. The pork was super fatty!  I guess I should've known from the name...  It was basically fatty, fatty chunks of pork belly and I guess that just wasn't what I was expecting.  I've usually only seen the charshu type slices of pork on ramen.  Pork belly seemed a bit much with the broth and all. Plus, what's up with the cabbage?  The description says soft cabbage.  This was raw cabbage placed on top of my ramen.  It's fine, but it ended up making my ramen colder since I was soaking it in my broth to cook a bit.  I don't mind raw cabbage, but the description is misleading. So, like I said on the talk threads... Eh. I probably wouldn't make a special trip, but if I was in the 'hood and had the craving, I'd hit it up.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.056432456; Sentiment_Subjectivity (from 0 to 1): 0.518772894 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 a long time since I've had a bahn mi that was freshly prepared and piping hot. You see, I almost always take it to go or sometimes my Dad buys me one when he knows I'm coming to visit. So, my bahn mi suffers a bit because I neglect it. But, after skipping lunch and knowing that I was heading to the gym after I ran a few errands, I knew I needed to eat something. This place happened to be in the neighborhood, so I stopped in. Even though there were plenty of interesting choices, I always order whatever the classic is when I'm eating at a new bahn mi joint. Their classic is the Super Cub Classic - made with BBQ pork, headcheese, pork roll and pate with the usual fixins of cilantro, pickled daikon and carrots, cucumber and mayo. They even go to the trouble of offering white or whole wheat baguettes. Unfortunately for me, I wasn't asked if I wanted a choice, so I think they just went ahead and made mine on white. And while it's fine, since that's more traditional, I would've liked to have made my own choice (would've gone with the whole wheat...). The baguette was toasty - a bit too much, as the butts were a little too dark for my liking - but I have to say, it was delicious. I loved the crack and crunch of the exterior and the warm, softness of the interior. I was so in love with the baguette itself that I started breaking off sections of it to eat on it's own. Yeah, I *love* carbs. But, not to say that the fillings don't deserve their own due. The meats were delicious and the pickled daikon and carrots added their tang without being overpowering. I did wish for more cilantro, but I always wish for more cilantro. I also ordered a lychee green tea. This was actually quite an impressive drink. I find that most times, green tea drinks don't have much flavor. While lychee drinks taste pretty artificial. Not sure how these guys make theirs, but the lychee flavor is not artificial tasting and the green tea flavor still stands out. You can even see bits of lychee in the drink! To up the refreshing factor even more, they add slices of lime and fresh mint leaves. I'd order this drink all summer long. While I had originally asked for my order to go, I ended up deciding to stay. The people waiting for their orders left and I basically had the whole counter space to myself. I had time to kill, so i figured why not. I was originally only going to eat half and save the other half for post-workout, but it was so good, I found myself devouring the whole thing. Damn skipped lunches! The guy who took my order was super nice and friendly - he asked if I liked what I ordered and even checked in while I was eating. That's just another reason to go back. I'm looking forward to trying the Mean Green veggie/tofu bahn mi and the Lam'bretta in the future.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.194729908; Sentiment_Subjectivity (from 0 to 1): 0.52858842 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 corn of the cob was good, but there's something to be said for getting good service as well.  Beside the grilled corn, the food was nothing special.  The hipster wait staff was either too bored to care or just attitudinal - whatever...  I'll go back to Havana Central for my grilled corn - it's better there anyways.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.251020408; Sentiment_Subjectivity (from 0 to 1): 0.503061224 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: (Cue angels singing) The pizza at this original pizza place in America is justly so.  Having pizza here starts the addiction.  The next day, you just want it again.  It haunts your taste buds.  Yummy!  Also, if you have 5 or more of your closest friends with you and have survived the wait, splurge for the $27 calzone.  It's cheese heaven!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.416666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 antipasti here is ridiculously tasty.  Oxtail terrine was the highlight!  I'd go just to pig out on the antipasti selction alone. The entrees were good, although I think the lamb was a bit too heavy on the balsamic sauce.  It overpowered the entire plate.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.020833333; 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: One cold, late night, 5 starving friends shopping in SoHo were in the mood for some yummy eats that would not break the bank.  We ended up here. Seated right away and given bread to stave off the hunger while we decided and waited for our food to come, we discussed how cheap the prices were.  A dizzying array of pastas to choose from - not to mention a decent selection of appetizers and pizzas as well.  All for very reasonable prices! Food arrives and a definite hush falls on the table for a good ten minutes while we stuff our faces.  Then all the mmmmm's and yummy's come flying from everyone's mouths, forks are jabbed into everyone else's dishes and another round of compliments goes around again. Would give it another star, but they're just not consistent enough.  Subsequent trips have produced similar quality eats at times and overly salted ones other times.  And I mean salty!  Like to the point where your tastebuds can't even taste anymore and you're trying to drink every glass of water on the table (and more!)  to prevent yourself from drying out...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.044809174; Sentiment_Subjectivity (from 0 to 1): 0.502640056 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had balut! O_o I'm a Filipino food newbie, as I haven't really been exposed to much of that culture's food. Unfortunately, with the few Filipino places in lower Manhattan all having unceremoniously closed in the last year or so, it makes it a bit more difficult to learn more about the food without having to travel to the outer boroughs. Having heard news of this place popping-up at Resto Leon a while back, I immediately put it on my list of places to try. Since it hadn't opened when I first heard of it, I forgot about it until a recent post on a food blog. How I could forget of a place that would allow me to try balut is crazy, but I finally got myself a reservation. Luckily, I was joined by a balut-loving friend, so at least I'd have someone to show me the way. I'm pretty happy that the menu is small, as I'm really indecisive, but I knew I was going to try the balut. For those of you that don't know, balut is a fertilized egg. It's a popular snack in the Philippines. And, although it sounds gross, I was intrigued and wanted to try it. So, as the opener to our Filipino brunch, my friend and I got the balut. We ate it as our other friends and some fellow diners watched and side-eyed in semi-disgusted awe. And the verdict? It's fine. For me, it tastes like an egg that happens to also have meat in it. No big deal. As for the more "normal" brunch options, they were delicious and our entire table were members of the clean plate club. Two of us got the Eggs Benigno, a Filipino take of Eggs Benedict on pandesal  and with spam, instead of the usual English muffin and Canadian bacon. Two of us got the Ilog Breakfast, a sunny side up egg with fried rice and your choice of longanisa or tocino. I got the longanisa, while my friend opted for a special request of spam instead. I'm not sure if it's supposed to be garlic fried rice, which is what I'm used to, but I have to say the rice was kind of bland. But, with the breaking of the yolk and the egg's incorporation into the rice, there was some flavor and definite richness. The accompanying longanisa, a garlicky, pork sausage, that had a touch of sweetness, was delicious. I would have liked it to be cooked just a touch more, as I usually like my sausages with a lil' bit of snappiness. Still, I was a happy camper with my pick. I'd skip the calamansi mimosas, which are good, but not great. But, I did like my Baguio Breeze - gin, citrus and strawberry jam. Next time though, I'm definitely going to try the sizzling sisig!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.148556231; Sentiment_Subjectivity (from 0 to 1): 0.546318811 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yummy!  We first came here before one of our mani/pedis for a quick bite.  It was delish.  The mac and cheese, spinach pie and the arugula with chicken meatballs salad are some of our favs.  My friend always bugs me to come back here.  We just can't resist!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.004166667; Sentiment_Subjectivity (from 0 to 1): 0.445833333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 warm summer night as we danced amongst the crowd.  Pier 54 on the Hudson River was filled with the sounds of salsa and the sight of couples twirling each other about.  Music was in the air as a warm breeze trailed behind our little trio as we left in search of food. We agreed to Cuban fare to keep the theme going.  We decided upon a cozy place that was aptly named Cuba.  Upon entrance to the main dining room, I wasn't very impressed.  It was just a tighly packed restaurant that was doing good business on a beautiful night. Our hostess led us to the back and behold, we'd come upon an incredibly romantic little nook. White sheets draped across the ceiling as candlelight flickered it's warm glow.  Cuba would make a great date spot if you were to be seated in this back room.  Although we were all together as friends, we appreciated how conducive the space could be with another... We could've had the classic mojito, but we decided to go for a pitcher of Caipirinha instead.  Although the pitcher would've been finished, we made sure we drank every single drop because this pitcher cost us $50!  Yes, I said $50.  I was expecting maybe $30, no higher than $32, but I guess I was wrong... As we weren't very hungry, we decided to share a variety of items.  First were the Tostones Rellenos, stuffed fried green plantains.  I love tostones, but these were fried just a bit too hard to my liking.  Tostones should be fried, then taken out and smashed and fried again.  Biting into one should give you a crunchy outer layer with a starchy inner layer.  These tostones with their shrimp tomato sofrito filling were just hard, hard, hard.  It almost hurt my jaw to chew them. Next up were the Papas Rellenas, fried stuffed potatoes with beef picadillo or cheese.  We chose beef.  These are another favorite of mine.  Imagine beef picadillo, enveloped by a mound of fluffy mashed potatoes, coated in breadcrumbs and fried.  When we cut into one, we realized that we had gotten a cheese one.  Hoping it was a mistake, we cut into the second one, which ending up being cheese as well.  When we pointed out that we had ordered beef, they graciously told us to keep the ones we had and try them while they corrected our order. Unfortunately, both versions of the papas rellenas were bland and understuffed.  A bit more salt and pepper could have brought these so much furthur.  I personally enjoy them with a bit of annatto oil in the potatoes for not only a hint of flavor, but color as well... Next up was the Ceviche Mixto aka the mixed seafood ceviche.  Squid rings, shrimp and bits of scallops served with thin plantain chips.  This could've been made better with a more varied variety of seafood (I'm pretty sure it was mainly squid rings with bits of shrimp and maybe one piece of scallop.) and less of the lettuce filler. Our final dish was the Paella Valenciana, saffron rice mixed with shrimp, scallops, squid, clams, mussels, baby pork ribs, Spanish chorizo and chicken.  Although this dish arrived in a paella pan, upon touch you'd know that it wasn't cooked in it.  As I dug in, I found that there was not much digging to do.  Had the paella actually been cooked in the pan, the crusty layer of soccarat that could have developed would've been the only bit of rice in the pan.  How would there be enough rice to accompany the meat and seafood in the dish? Overall, the food at Cuba was distinctly meh.  There is no better word to describe it as it's not terrible, but I probably wouldn't go back anytime soon either.  This place really only deserved 2.5 stars, but I'll round up for the cozy back room.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.091468254; Sentiment_Subjectivity (from 0 to 1): 0.49190366 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 been meaning to try Riverpark, but the reviews always made me feel like it'd be a hassle to get to. But, squeezing in a visit during Restaurant Week was actually quite a nice way to get my first look/taste of this place. Also, it wasn't as difficult to get to as others made it seem. It was actually pretty straightforward for me... As this was a last minute reservation I made with a friend, we were relegated to a very early dining time of 5:30pm! O_o It actually worked out well in our favor - we got a lovely table by the window, which looked out onto the porch and the East River. (Also, beautiful lighting for those of us who document their food... I can't help the Asian in me! =P) I started with the Route 99 cocktail, which was an icy mix of vodka, Canton, cilantro, cucumber, lime and chile. I only wished that there was more lime, if only to round out the flavors and make my cocktail choice super-refreshing. As for the meal, I went with baby octopus, lamb and the chocolate-caramel tart. I also really liked that they offered their entire menu as RW options. Of course, there were some supplements, but hey, it's still a steal! The baby octopus was served with manila clams in a broth with cilantro, lime and chili oil. The octopus was tender and had just the right amount of char, though the broth did make subsequent pieces just a bit soggy. Still, the flavors shined through. The clams were perfect and pristine - not overcooked in the least. And I could've slurped down every last drop of the broth, but we shared our apps. J's grilled calamari salad was also delicious. Served with baby greens from Riverpark's own Farm, grapefruit and a nicoise olive vinaigrette. The vinaigrette added just the perfect amount of saltiness to the calamari. I really enjoyed the grilled lamb t-bone and ribs. I hate overcooked lamb and these guys didn't disappoint. My t-bone was medium rare, as requested, and the ribs were fall off the bone tender. The fingerlings that accompanied my lamb were nicely roasted, but what failed here were the incredibly over-salted wilted greens. Not sure if it was the smoked olive-lemon vinaigrette or maybe an additional (unneeded) salting, but I thought I was going to crumble and dry up right then and there. J's diver scallops with corn, chanterelles, tomatoes, bacon & tarragon screamed summer. The scallops weren't rubbery, the corn was sweet and fresh and the bacon didn't overpower. Yum! J also ordered a side of Farm eggplant, which was grilled with balsamic and oregano. Each tiny eggplant was halved and scored and seriously delicious - I could've ordered my own side, but alas, I didn't. For dessert, J and I both wanted the peaches & cream sundae, but I went against my gut and got the chocolate-caramel tart with roasted peanuts, caramel corn and caramel ice cream. I figured one light dessert and one richer one would be a good contrast. The tart was delicious. I loved that the tart shell wasn't too hard, the chocolate was smooth, the caramel not cloying and the smattering of roasted peanuts to add to the textural contrast. It was a very good dessert, and apparently the favorite of our waitress. J's peaches & cream sundae didn't disappoint. The peaches were wonderfully fragrant and ripe, with just the right amount of sweetness. This almost reminded me a bit of Asian desserts, as the creme fraiche ice cream and the sponge cake were also on the less saccharine side. and, when you already have a rich chocolate dessert, it's nice to balance it with one that is lighter and so seasonal. After a rash of awful service experiences, I was happy to find that our actual waitress was attentive and bubbly, unlike the waiter who originally brought us water and chided me on my inability to locate the cocktail menu. You're the one who gave me a drinks binder that was incomplete. Had there been a cocktail list, I wouldn't be asking, buddy! =P I'd surely return for the view and even the food. I hear brunch is pretty good as well. P.S. We roamed around the Farm after dinner. I'm quite impressed with the variety of vegetables and greens they grow and use on site. P.P.S. I wanted to harvest all their shishito peppers right then and there! One of my favorite things in the world!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.288928288; Sentiment_Subjectivity (from 0 to 1): 0.666493197 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Always great when I'm in the mood for congee or anything Chinatown.  Great soy sauce chicken and roast pork.  Everything over rice or any of the noodle soups.  It's cheap with great food.  What more can you ask for?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.45; 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: I was meeting up with some friends for lunch and originally were going to Max, a standby lunch spot since we couldn't think of anywhere else to go. We're indecisive but, we ended up giving Locanda Verde a try since it had just opened for lunch that week. It was a rainy day, so I think all the bankers stayed inside. That made for an overly staffed dining room. The waiters were all just standing around, and when you have 8 - 10 people (NOT including the hostesses and manager) just milling about, it's very noticeable. Even with that, the atmosphere was pretty relaxed. I couldn't compare the room with its former occupant, Ago, but the new space is airy and broken up into rooms. I believe we were in the front "cafe" area. Lots of black and a very nice looking bar. We ended up ordering the sheep's milk ricotta to share. The ricotta arrived, drizzled with olive oil and herbs, with slices of perfectly toasted bread. It was light but somehow rich and creamy too.  We couldn't stop slathering our slices of bread with it. It was a shame to have left as much on the plate as we did. If the pasta hadn't been so fulfilling, I would've polished the last bit off! The pasta dishes we ordered were the fettucine verde with white bolognese, grandmother's ravioli and the maltagliete.  All three pasta dishes were just the right portion sizes.  The pasta was cooked perfectly - not too al dente, but not soft and mushy either. The fettucine verde with white bolognese was the perfect balance of flavors.  I had tried a similar dish at Il Cantinori a few months back and this was what I wished I was eating that night instead of the slop they served me there.  I almost wished that I ordered that instead. Grandmother's Ravioli was stuffed with a meat mixture that I believe included pork and lamb.  The raviolis reminded me of wontons - thin pasta with a meat filling.  I loved that the pasta was so thin that you could almost make out the color of the meat filling.  They were slicked with the perfect amount of sauce and sprinkled with cheese. The maltaglieti are flat sheets of pasta roughly cut into random shapes, usually from scraps. Well, they certainly did not taste like scrap pasta! Simply dressed with pesto and parmiggiano-reggiano they were amazing. Perfect pesto that wasn't oily on beautifully cooked pasta. It was a no-brainer to pick pasta since Andrew Carmellini is known for his pasta. Subsequent trips have yielded spectacular pasta dishes as well, though I must admit there was a terribly drawn out lunch once after the initial visit. I think we just had an inexperienced waiter that must have forgotten about us. But, overall, 4.5 stars minus half a star for the service.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.128672767; Sentiment_Subjectivity (from 0 to 1): 0.496829496 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I had to meet up with friends to get them our materials for class, so I suggested going to Hagi for dinner.  We weren't sure if we'd be able to get in, as we're all aware of the notorious wait time associated with dining here.  When we arrived, there was a wait, which we decided to endure.  We figured a short walk back over to the Nintendo Store might keep us occupied as we whiled the time away there.  Alas, Nintendo was closed, so we just hung around Rockefeller Center for a bit. As it got closer to the end of our wait time, we walked back, which was perfect timing since they called us when we were about 30 feet away.  Unfortunately, the only available spot was a two-person table, which we decided to take anyways.  I really didn't want to wait anymore, so I'm glad the guys didn't mind.  As I tend to frequent izakayas, I like to get the usuals to compare, but I also wanted to try something new and was intrigued by one on the daily specials list. What we got: yuba konnyaku - This was the specials item!  Tofu skin yam jelly in spicy miso paste.  It sounds delicious and strange all at the same time.  Looked a bit odd too, but it was yummy...  My favorite dish of the night! A dish of cabbage, bean sprouts and onions simply sauteed.  This was good and served piping hot, which I love.  I love HOT (temperature-wise) food. takoyaki - Decent, but lukewarm.  I like my takoyaki to be burning hot - to the point that you're afraid that you'll sear off the roof of your mouth. agedashi tofu - Good, but nothing special.  By the time I got to it, it was already cold, so I have no one to blame but myself... tsukune - This, unfortunately, was the worst chicken meatball I've ever had!  It tasted like a breadcrumb ball.  Did you guys run out of chicken?  I've had matzoh balls that tasted better than this thing...  Ick - so disappointed! Hokkaido mackerel - This was the last thing to come out.  And, we were already pretty full by then.  We tried to cancel it, but were unsuccessful in doing so.  We ate as much as we could when it was brought out.  Good and it was huge, so we definitely didn't finish it. We also got a pitcher of Sapporo, because what's a trip to an izakaya if there's no drinking involved? Dinner was pretty inexpensive  - $64 total, but with the dud tsukune, which is one of my izakaya meal staples, I'm not sure I'll be back too soon...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.095788586; Sentiment_Subjectivity (from 0 to 1): 0.599889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: When I heard that there were $4 lychee martinis (and red or white sangrias and 2-for-1 beer) to be had at Verlaine's super long Happy Hour, I wanted to rush right over, but I kept putting it off. Well, I finally made it and the lychee martinis are great - enough to earn Verlaine two stars! What's not great? The fact that the waitress keeps your change when you never said that it was a tip.  Biatch, I am not a cheapo!  I would've told you to keep it when you tried to give it back to me.  Please don't ever assume that I'm tipping you, okay? Next.  When I order a drink, can I get it when I order it?  I really don't want to have to order my drink with you FOUR times.  Yes, I said FOUR!  It only took 45 minutes for you to bring the damn thing to me.  Yep, that makes me so happy. You had me at $4 lychee martinis, but you lost me with your surly service and overcrowded digs... Good Bye!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.240826331; Sentiment_Subjectivity (from 0 to 1): 0.523669468 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 back recently with four girlfriends for dinner and a catch-up session. I had been craving the ramen, so I was glad the ladies let me pick the place! We booked an early reservation, which is a bonus if you want to take advantage of the happy hour. But, be advised that you must be sitting at the communal table or the bar in order to partake. Since we were already seated and quite cozy at our table, we stayed. Plus, their wines by the glass are quite reasonably priced and are generously poured, so no biggie. To start, we shared a few appetizers: Kobe Beef Hirata Buns - with hijiki, red onions and togarashi mayo. These tasted like a burger/slider. I wish they were more heavy-handed with the togarashi mayo, because I didn't taste the kick that it would've given to the bun. Short Rib Hirata Buns - with spicy fermented cabbage and tobanjan mayo. These fared a bit better with me. The short ribs were perfectly cooked and tender. The fresh kimchi wasn't too spicy, nor was the tobanjan mayo. Shishito Peppers - I love shishito peppers and will find any reason to order them off a menu or pick them up from the farmers market to make at home myself. These were delightfully blistered and sprinkled with a yuzu salt that went perfectly with the lemon aioli. Had I been alone, I would have eaten the entire pile myself! Loved the floral, citrus notes from the yuzu salt! Animal Roll - Short rib, jalapeno and garlic roll with a soy glaze. As with my previous review, not very memorable on the sushi front. But the girls wanted to try it and I obliged. I may be hanging out with too many chili-heads or something, because anything that was supposed to have an element of heat didn't. I want more heat, more spice, more kick, more punch! Don't worry, I can take it! Please add more spice! As for the entrees, we all ordered ramen. Besides the cold night, I think my multiple raves for the ramen here were a huge factor in this. We had two seafood, a spicy miso, a miso and a wasabi shoyu ramen. At one point, everyone tried everyone else's broth, which probably made for a funny scene of flying soup spoons... The seafood ramen is still one of my favorites and when the ladies who ordered it got served theirs, I got a little pang of food envy. Once again, the fragrant aroma of the rich broth called my name. I got to steal a sip of it and was happy! Yay! The spicy miso wasn't too spicy, but I did enjoy the richness of it with hints of nuttiness. Definitely getting that one next time! The miso ramen was good too, but not as rich and velvety as the seafood or spicy miso broths are. My wasabi shoyu ramen also had a thinner broth. And though I enjoyed it with the extra wasabi they send out on the side (I definitely added more!), I really wanted one of the richer broths. I must say that the addition of the onsen tamago, a slow-poached egg, was great in adding the richness I craved. Glad I got that! All the ladies really enjoyed their ramen - especially my one friend who had never had "real" ramen... When Joshua, the chef/owner, dropped by our table to check on us and heard that, he even joked about that with her. "What? You've never had ramen before? You know that stuff in the packages? That's what we use here!" That was cute and I always appreciate chef/owners that have a sense of humor about their food. As for dessert, Chef Joshua remembered me from my first visit and was kind enough to send out a dessert tasting. We got one of each plated dessert and a dish of green tea ice crean. The Fromage Blanc "Cheese Cake", the Brioche Bread Pudding and the "Coffee and Donuts". I loved the warm donuts and enjoyed dipped them into the foamed cream. But, I have to say that digging my spoon into the dessert to get a little bit of everything - the coffee semifreddo, the layer of caramel and the cream foam - was both fun and delicious. The brioche bread pudding with caramelized banana and vanilla ice cream was excellent as well. I liked that it wasn't too hard or soft, as bread pudding in this city runs the gamut from gooey messes to overcooked rocks. This was light, not too sweet and the brulee'd bananas are the perfect touch. Thanks Chef! On a side note, though the ramen is different than that of Ippudo, for me, Ippudo can keep its 90 minute wait times and trendy dining rooms. I'll be making my way here more often, as Zutto is more cozy, the staff is super friendly and the ramen is just as good. Yeah, I said it. Not only that, it has at least four new fans after just one taste...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.325621061; Sentiment_Subjectivity (from 0 to 1): 0.587124809 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 banh mi (Vietnamese sandwich) place recently moved here from it's original location under the Manhattan Bridge.  It's the best banh mi place in NYC, as attested by it's long lines in rain or shine.  The new spot is a palace compared to it's original digs (ie. more spacious).  These small toasted baguettes filled with coarsely chopped barbeque pork, pt, cucumber spears and julienned vinegar-pickled carrots and daikon radish are out of this world!  I've heard people call and order 20 sandwiches at a time and this is not a rarity.  Their phone is constantly ringing and all I hear are orders after order for anywhere from 1 - 40 sandwiches.  Come early or you'll be disappointed...; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.141258741; Sentiment_Subjectivity (from 0 to 1): 0.506759907 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: After a long night of drinking, whether it be here or somewhere else, get in line or find a space at the bar and order a burger.  Served on a paper plate with or without fries, it's one of the best in the city!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.475; Sentiment_Subjectivity (from 0 to 1): 0.35 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Took my friend here for a belated birthday dinner.  As she was running late and the front room was already filled with people waiting, I thought we might have to wait for a really long time.  But, I was seated right away - yay! There were booths for large parties, a round communal table, bar seating and conventional table seating.   I sat at the square communal table with the chairs that look like a loveseat, but they actually separate from each other to be one-armed individual chairs.  I really liked the sparkly mural piece on the wall in the conventional seating area. When my friend finally showed up, we ended up ordering the mixed apps plate and salmon carpaccio to start and the akamaru and the karaka-men. The mixed apps were 5 little portions: pickled vegetables, grilled pork on salad, braised pork, a shrimp tempura on tartar sauce and I guess the last one was just not memorable enough to remember...  Decent, with the shrimp tempura being one of the best that I've ever had.  Usually shrimp tempura are made with shrimps that are too small and tempura that's just a bit gummy under the crunchiness.  This was a large shrimp that was perfectly crunchy and not greasy and sat in a small puddle of tartar sauce that tasted homemade. The loss of its star for me was the salmon carpaccio.  Please don't call it carpaccio if it's not raw.  I really should have refused it and sent it back.  This carpaccio was a plate of about 8-10 slices of FULLY-COOKED salmon surrounding a small dressed salad.  If you watched Top Chef this season, this is kind of what I think Richard's sous vide salmon would have tasted like.  To give some credit, the salmon was not overcooked.  It was prepared well, but seemed a bit watery...  I would not recommend anyone order this dish. After that disappointment, I was really starting to look forward to my ramen.  My friend ordered the Karaka-men - spicy.  She said it was good.  I'll take her word for it, as I couldn't pull myself away from my Akamaru ramen. The broth was thick and rich and full of porky-flavored goodness.  The ramen was on the thin side, but not overcooked to mushiness. It had a pleasing bite to it - al dente, I guess.  I splurged and had kakuni added to mine.  I figured that if I didn't like the ramen, I wouldn't want to come back just to have another $13 bowl of ramen with pork belly in it...  The kakuni was a good balance of pork and fattiness.  I liked the ball of yuzu kosho (yuzu pepper paste) that melted away into my broth. And, although the broth may have been a touch on the salty side, I did try to finish it all.  It was THAT GOOD. Love the toasted sesame grinders on the table.  Adds a yummy nuttiness to your ramen.  I may have to get myself one at home and do that instead of sesame oil from now on! Dessert options are limited - green tea brulee or sweet tofu.  We passed and went to Cha-an instead.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.123364313; Sentiment_Subjectivity (from 0 to 1): 0.479678123 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My wife and I took my parents there for lunch and were greeted by stares from the staff with no greeting whatsoever despite there being only five people in the entire place. This was followed by a rude, abrupt waitress who acted like we had to speed talk to place an order. To cap off this wonderful experience, the pizza was non descript and  the pasta tasted like it had been ordered from a diner. So poor, in fact, that my two kids, who normally love pasta, refused to eat theirs. Won't be back and will definitely not recommend this place to anyone.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.075; Sentiment_Subjectivity (from 0 to 1): 0.658333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Got a margarita pizza. First off let me say very expensive that one pie came out to 25$ with 2 simple toppings on it. Secondly the was a piece of hair in it.  Also the sauce was bland. My table was all oily. Definitely not recommending this place might as well go down the block to Tommys. Again HORRIBLE.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.215277778; Sentiment_Subjectivity (from 0 to 1): 0.527837302 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is average pizzeria and not cheap.  Add that to the fact that I puked my guts out in the bathroom during the "meal" and I've decided not to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.366666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Recent visit was very good. The servers don't seem to favor me - as my portions are usually smaller than those received by other customers. Also, they do expect a tip but my question is why should I tip someone who rings up the bill on the register? Do I tip the cooks in a regular "sit down" place?   Business has got to pay their employees properly and stop turning them into beggars and stop turning customers into service managers; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.089920635; Sentiment_Subjectivity (from 0 to 1): 0.338687424 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Going good!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.875; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: They have gone up in price (like everywhere else) but still come in as tasty and usually authentic Malaysian food BUT now borderline 3 stars. Good service always.  The "blond" old  guy who seems to be the manager, might consider saying hello-at least once-to regular customers.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.405384615 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: On most recent visit, our waiter was inattentive and rude, kind of like a  wise-ass thug. Mussels with garlic/wine sauce were DROWNED in olive oil. The Merlot was served COLD-like San Gria! And, by the way, they don't have coat hangers since "the bed bug problem came out". Also, if you want a drink after dinner, they "don't serve liquour but we can make something special for you". They did - off the bill- and then the waiter gets $20 bucks extra and I had one F-ing bad headache the next day.  Dropped down from my earlier 4 stars and I'll re-consider whether to go back.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.014715608; Sentiment_Subjectivity (from 0 to 1): 0.373082011 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Some very interesting, good foods here and some not so good foods: both for sale in the market and in the restaurants. Grossly overpriced in many areas. More expensive than Milano or Rome. Butcher sold me a bill of B.S..  Fat Mario, Fat Lidia and her son are making a freaking fortune here.  Stunned at the small portions in the eateries.   If you know what you want and can only find it here, may well be worth the trip. Otherwise, save your money. Some of the stuff is just cheap factory-produced in Italy and shipped here with a fancy label. Service is consistently excellent but the butcher will sell you anything-even if he/she has to make up a story.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.333333333; Sentiment_Subjectivity (from 0 to 1): 0.5625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 4 stars on the generous side.  Soft-shell crabs are very good. Noodle dishes pretty good. Service is better than it used to be but you can run into a rude one.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.412; Sentiment_Subjectivity (from 0 to 1): 0.696 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: is up to 4 stars, if you enjoy this type of cuisine. Good price, too. Service is good EXCEPT for one CRAZY short waitress who appears to be a relative of the owner. You cannot order without her badgering you to order more. And she will keep at it for 5 minutes. One time, I got up to leave and she said "OK OK, you sit".  Another time, she got into a long shouting match with cook.  Difficult to know how many people she turned off to coming here. One star removed for her.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.220833333; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I can not fathom why people would give this restaurant more than a star or two. I'm starting to find Yelp reviews unreliable. This was our first time ordering from Peppino's and we will never eat their food again. Overpriced for the quality. I gave one star for prompt delivery and one star because the food wasn't horrible. It was just bad. Their bread is tasteless- this goes for their crust and garlic crisps. No flavor whatsoever. Same with the plain pizza. We couldn't even finish a slice. The marina sauce is coated with a layer of oil and tastes burnt. The penne a'la vodka was fine, but again, lacked flavor. The eggplant parm roll tasted old. If you want good pizza on 5th Ave go to Brooklyn Central or La Villa, which also has amazing pasta and appetizers.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.004029304; Sentiment_Subjectivity (from 0 to 1): 0.49478022 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here during the time it was busy and i got a regular slice. When i received it, it was just warm.... i rather have my pizza hot, but maybe its just because it was busy but still...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.21; Sentiment_Subjectivity (from 0 to 1): 0.425384615 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: never lets me down!!!!!! If you order a lot you can def. rack up a bill but let me tell you it is worth it! I would just like waitresses that are little  more "with it". Other than that.. the BEST pizza ever!!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.161517108; Sentiment_Subjectivity (from 0 to 1): 0.343981481 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pizza was not bad, however not great either. Prices are reasonable.  I think they can work on there service.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.672222222 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Why would anyone serve frozen Burgers?  I feel in and environment were everything is getting more upscale and more gourmet why frozen?  I was eating there the other day and I got my burger and it was very rare on the inside and a little cold.  When I asked the server why he told me the burgers are frozen and it seems that the grill man didnt cook enough.  Thank you for your honesty however now I would never go back there.  The one star is for the fries.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0596875; Sentiment_Subjectivity (from 0 to 1): 0.546875 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I like this place. Clean and the staff is cute.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.433333333; Sentiment_Subjectivity (from 0 to 1): 0.85 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Peppinos is far superior to your typical neighborhood slice shop but it isn't a destination pizza place. The staff is friendly to a fault, which almost makes up for the errors in their food. 2 out of the last 3 times that I've ordered pies from them, they have put the wrong toppings on the pies. I'm not a picky guy but it is annoying when you are paying $20 + for a pizza. I'm not sure what the issue is but I hope they get it fixed. Delivery service is inconsistent in delivery time (15-45 minutes) but the food does arrive hot every time. In addition to their pies their salads and sandwiches are also delicious, especially the pepperoni hero.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.067361111; Sentiment_Subjectivity (from 0 to 1): 0.725462963 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I feel bad for not having tried Get Fresh sooner...especially since I live 2 blocks away and have walked by dozens if not hundreds of times before deciding to stop in for a 9PM Saturday dinner. The space has gone through several incarnations and they have now removed the to-go fridges from the front room finally making it a proper, comfortable space. The service was attentive, on the verge of being slightly overbearing but in a charming way and the ambience was pleasant despite the fact that we were sitting amongst several large parties. The food was all quite clean and excellent, especially for the price point. The portions were very fair and my wife and I left quite satisfied after having 2 starters, 1 entree and 1 dessert. They do not have a liquor license yet so it is BYOB which, as others have noted, helps keep the price down. Final verdict: Get Fresh is a welcome addition to the already crowded 5th Ave. scene and it is a top tier destination for neighborhood folks as well as those looking for a pleasant Park Slope dining experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.278870418; Sentiment_Subjectivity (from 0 to 1): 0.635365079 [/INST] Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: For the price and the hype i thought it would be way better.... A little disappointed considering the high hopes we had.,; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): -0.069375; Sentiment_Subjectivity (from 0 to 1): 0.5725 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I would love this place so much more if i didnt have to wait on line with 500 tourists just to get a take out pizza; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Soooooo much food!!! Dont know where to begin... The pizza was great as were the fresh pasta... But my fav is the lavazza coffee bar; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.496875; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I am impressed with this place. I love pizza, but Solid oven pizza was my frist time to try. Amazing and delicious. It 's one of my best pizza experience of NYC! I can't wait to go back for more. (after I missed NYC's Biggest Pizza Party); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.575; Sentiment_Subjectivity (from 0 to 1): 0.55 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute little spot very old school feeling. Theyve got brick oven pizza which is always a plus. But if your not ordering a whole pie sometimes the pizzas hit or miss. The bruschetta, the diavolo, these are not. they are always spot on and delicious. get a pizza as an app for the table if youve got a group and then chow down on their actual dishes. good stuff.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.273368056; Sentiment_Subjectivity (from 0 to 1): 0.518611111 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I worked near here awhile and kept seeing crazy lines, figured i should give it a try. It's not half bad but it's no L&B. Don't go at exactly dinner time try when its a little slower but sometimes even lunch seems pretty busy. prices food and service are all pretty good but not nearly good enough for some of the lines ive seen.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.008680556; Sentiment_Subjectivity (from 0 to 1): 0.573611111 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: From a true Brooklyn guy this is the hands down best pizza youll find anywhere. Dont go in there and order slices. Get a big sheet of squares its amazing. They literally melt in your mouth like no place youve ever been. The restaurant side has good food. they can actually make garlic and oil and alfredo instead of making tasteless pots of oil. Service is like being in any of the citys best restaurants. Then get the spumoni on your way out. out of this world.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.321604938; Sentiment_Subjectivity (from 0 to 1): 0.459876543 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just so so. Foods not really consistently good. Sometimes it can be sort of tasteless then the next time its not. Other times its greasy as heck then its the next time theres no grease to speak of. I can treally pin point it but my sister and my folks seem to like it a lot so we keep coming back. soup dumplings arent bad but ive had better. lo mein is either awesome or just eh depends on the day. when its awesome its a lot better than ive had elsewhere and when its just eh its not bad just not great.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.104807692; Sentiment_Subjectivity (from 0 to 1): 0.53525641 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This restaurant helped me planned a last-minute birthday party for my daughter after another place cancelled at the last minute. Pizza was crisp and delicious and the waitstaff were patient with a room full of 9 y/o's. It's not fancy or gourmet; it's just honest pizza and god service at a fair price.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.483333333; Sentiment_Subjectivity (from 0 to 1): 0.638888889 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The service at all 4 sections of this place leaves something to be desired, but the food doesn't! I've been going to this place for 30+ years and Iv'e never once been disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.75; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The quattro stagioni reminds me of great pizzas from my childhood. I highly recommend this place for delivery.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.48; Sentiment_Subjectivity (from 0 to 1): 0.645 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I order from this place at least twice a week. There ceaser salad is great!!!, comes with amazing garlic crisps which are so yummy! I come here frequently for dinner also with my 2 kids & they are very accommodating! No weird faces when you have to seat a stroller & a highchair! Thx for your good food & good manners!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4609375; Sentiment_Subjectivity (from 0 to 1): 0.60625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wonderfully delicious pizza! One of my favorite places to go in Brooklyn.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.75; Sentiment_Subjectivity (from 0 to 1): 1.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: One of the best places for good wine and good food. Love the atmosphere and love the staff!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.705; Sentiment_Subjectivity (from 0 to 1): 0.54 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is awesome! Cheap drinks, games at the bar and they serve cheese balls! Also: BUCK HUNTER! Awesome.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.875; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I went to The Farm for brunch and it was simply fantastic! Love this place.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pretty good cheesesteak subs. Pizza from a brick oven: a plus. Good service too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.733333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Nice atmosphere and good service. They have a great menu for everyone. Crispy pizza and good taste.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.7; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay was here last weekend with some friends and tried to get in for lunch but was to busy and the line was to long to get in (yes a line to get in all day long) so we went back for dinner.. Now the place is packed so it is a bit confusing to understand at first but once you get the idea it's not so bad.. There is so much to choose from all over the store, we decided just to get a few things to try. Prices are okay maybe a bit on the high side, but I feel you are paying for the experience too. We waited for about ten minutes for a table which you just have to be quick to grab one when available. We were in the meat and cheese dept., so there is only standing room tables. We ordered a meat and cheese platter with a bottle of wine, which I thought it was all a bit pricey for the portion they gave us but, and it's the experience to.. Coffee was very good, and the Gelatto was very close to the real deal. So if your in the city a must look at least, but I would probably keep away from there during the Holidays, I want to go back after the newness wares off to get a better experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.115362319; Sentiment_Subjectivity (from 0 to 1): 0.373333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a great place that I read an article about it and decided I needed to try it. The neighborhood is a little run down , but that's because the fish market closed down in the area. Small place but I am going to say it "cute" place. Service was incredible and the everything we has was worth tring it again. Belive it or not it was also nice the next time I went to have a glass of wine outside and at the bar.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.187615741; Sentiment_Subjectivity (from 0 to 1): 0.448148148 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing food! I went with a friend and had one of their daily specials with seafood and red sauce. It was out of this world. The portion lasted me for the next day's lunch. Nice, friendly stuff. Overall good experience. Will go back and would recommend it to friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.269444444; Sentiment_Subjectivity (from 0 to 1): 0.333333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Peppinos surprised me quite a bit. I wasn't sure what to think of the place when I first walked in but the atmosphere was warm and inviting. I sat down and had a Margarita Pie and it was to die for! Just the correct amount of sauce to cheese ratio, it came to our table piping hot and the sauce wasn't overly sweet which is a pet peeve of mine. I can't wait to go back and try some of the steak sandwiches, I hear they're great!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.317283951; Sentiment_Subjectivity (from 0 to 1): 0.584567901 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Manager was extra helpful and friendly. Food was delicious. Place was nice and clean.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.468333333; Sentiment_Subjectivity (from 0 to 1): 0.66 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Staff was very awesome and food was great! We are from Texas and the food tastes excellent!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.916666667 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great pizza! My go to place when I want something that hits the spot. They use all fresh ingredients and they are very generous with their pizza topping . Def check them out if you haven't already .. You won't be disappointed; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.1875; Sentiment_Subjectivity (from 0 to 1): 0.575 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was yummy  ! Very tasty . I ordered the plantains with a spice that tasted like curry  with coconut rice .  Everyone at the table was happy with their food.. It was quiet when I got there but a couple tables filled in as the night progressed. Only complaint , as much as the food is good .. I felt like it was very pricey .; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.244444444; Sentiment_Subjectivity (from 0 to 1): 0.537037037 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went here for a work party /dinner and it was great! Portions were large and the food was yummy . Waitstaff was beyond great ! They were always on point with filling up our drinks and helping us choose what to order .  Will def be returning when going out in a group .; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.738095238; Sentiment_Subjectivity (from 0 to 1): 0.642857143 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Pricey but great Italian food! Best around!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.35 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This probably one of my top 10 favorite restaurants! I order the ravioli and it was amazing! The marina sauce was the best, Homemade and delicious. Though I recommend coming in hungry because it fills you up and portion are kinda big. It was a like I was in Italy and the atmosphere is very laid back.   Definitely A must if your visiting New York!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.424545455; Sentiment_Subjectivity (from 0 to 1): 0.505454545 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great place, great food. I have in both Brooklyn locations and have almost enjoy a good meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.675; Sentiment_Subjectivity (from 0 to 1): 0.65 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I rarely comment about my experiences at restaurants but needed to take the time to thank Peppinos for the truly amazing food and excellent service!!!!  The Bruschetta is a must have so so yummy {trust me}.  My main meal of Penne a la vodka was unforgettable.  My Hunny had the Philly Cheese Steak which of course I needed to try, it was incredible, needless to say no more driving to Philadelphia for us.  Pricing is excellent for the amount of food that is served!  If I could give a 10 star rating they would get it for sure.  On another note we were at the restaurant when that musician came into the restaurant.  What an unprofessional jerk!  Yes the manager was trying to find out what was going on in the middle of dinner service making tons of calls and trying not to let it affect the patrons.  Kiddos to Peppinos for not allowing the musician to play and standing their ground.  I ENJOY the family restaurant values!  WE WILL BE BACK OFTEN!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.395512821; Sentiment_Subjectivity (from 0 to 1): 0.686324786 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Both spots are great I believe there's one in Park Slope and one in Bay ridge. Both places make great brick oven pizza. Def got my stamp of approval 5 star! all day every day. Margherita pizza is really good at Peppinos you will savor every bite. They even deliver pretty far. So if your in the Ft Greene area and your in the mood for some pizza give these guys a call.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.57; Sentiment_Subjectivity (from 0 to 1): 0.82 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Enjoyed the pizza . Very fresh and flavorful. Worth the wait.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.396666667; Sentiment_Subjectivity (from 0 to 1): 0.483333333 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good pizza . Love the Neapolitan crust.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.705; Sentiment_Subjectivity (from 0 to 1): 0.69 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My husband and I visit Peppinos once a week and always enjoy the food.  I just wanted to let everyone know what type of people they are.  I know a neighborhood girl that married and moved to Breezy Point to raise her 5 children and has recently been displaced because of Hurricane Sandy.  When I mentioned it to one of the owners of Peppinos they immediately invited the intire family for dinner on them.  These are real family, neighborhood people ! God Bless them for doing such a good thing!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.295833333; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think it is a family run business which makes it even better in my book. The pizza is fantastic here and the service is always great. The vodka sauce and garlic crisps are real good too!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.675; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have been coming here for about 15 years and the pizza is still one of my favorites. Its one of those places that bring me back to high school. The place is mobbed during the summer months for good reason, the pizza and ices are flat out awesome. Why 4 stars you ask? Ive only eaten in the dining room a couple of times and the service kind of sucks every time. Im a little old fashioned in the sense that when I sit down to be served I actually want my server to be around and actually serve me.  Anyway, check out he pizza and spumoni it wont disappoint.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.145534188; Sentiment_Subjectivity (from 0 to 1): 0.43491453 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best pizza and calzones around, period, end of story! Don't get any fancy topings, stick with the basics and you will not be disappointed.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Let me start with I've only every had their delivery... that being said, they're super fast, super nice, and super DELICIOUS!  The vodka pie is honestly amazing.  A little too good, like, "I'm already really full, but I should probably have just one more slice," good.  A large isn't a "huge" pie, but with how good it is take that as a saving grace!  I definitely recommend :); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.413988095; Sentiment_Subjectivity (from 0 to 1): 0.704365079 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is pretty close to perfect.  Amazing brick oven, wood fired pizza, incredible heros made with homemade, amazing dough.  Sauce is fresh, barely touched using great products.  Incredibly warm and nice staff both in person and on the phone.  This isn't a complaint but a request.... I wish they had a few more appetizer choices, i think they could do a really good fried mozzarella app, fried calamari, maybe an arancine? I also wish they would make a clam pizza which when done well by great pizza restaurants is absolutely amazing.   I just feel like they would do everything well and this would be great.  Keep it up Peppinos, you guys are great in every way.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.522222222; Sentiment_Subjectivity (from 0 to 1): 0.677777778 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Okay, here It is. Went to Grimaldi's and the line was way too long. Yelped a few places and found reviews for  Peppino's. Read a review about the place and decided to take my party of five to Park Slope. WOW. We started with bruschette and a mozzarella appetizer. Then we got some pizzas and pastas. Vodka and margerita pie were amazing. Fusilli were amazing and i really enjoyed the orecciette pasta dish. All the food was tasty and the service was great. I would highly reccomend this place, quality food at the rite price. Peppino's is my new spot.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.314636364; Sentiment_Subjectivity (from 0 to 1): 0.624454545 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: We have lived in Park Slope for three years and only now FINALLY have found a pizza place we love. Since we live about 14 blocks away, I hadn't realized they would deliver to us, but it was no problem. We ordered six large pizzas for a party (Margheritas and Diavolas), and the staff was incredibly friendly, responsive and right on time. Sometimes delivered pizza isn't so good, but this was still hot and just perfect. They were quick. I thought maybe I had ordered too much, but that definitely wasn't the case - everyone loved it. Will definitely order again and maybe trek over to eat at the restaurant, too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.312979798; Sentiment_Subjectivity (from 0 to 1): 0.634285714 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best pizza in the slope. There thin crust margherita pizza is delicious. The crust is crunchy and the sauce is perfect. A few slaps of fresh mozzarella and you have a great pie of pizza. It can be a bit pricey compared to some other pizzerias but you pay for quality so I don't mind not one bit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.421875; Sentiment_Subjectivity (from 0 to 1): 0.609375 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Another great Italian restaurant. Been here a few times. I have tried a few different meals here but I love the veal. It melts in your mouth. Always perfectly cooked. Also, the mussels and asparagus app is cool and the bone marrow is a must try. If you are into seafood, I would recommend the wild stripe bass. Staff here is very professional and this place is always packed. Love everything about it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.235833333; Sentiment_Subjectivity (from 0 to 1): 0.4525 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great brunch over here on a sunday. Went to buttermilk awhile back with a couple of friends and we all enjoyed it. When we got there, wait time was about 45 mins, so we decided to take a walk down court street and check out some stores. When we returned they had skipped us because we took too long to get back but the hostess seated us next which was cool on her part. Mimosas, bloody marys were all good. As for the meal, it was amazing. We snacked on some bacon almond which is basially almonds with bacon lard dried up on them. Well atleast thats what I think it is and it is AMAZING. I ordered the cheese waffles with sausage. Cheese waffles were something different that I never had before and were actually quite good. The homemade sausage were more like meatballs and a bit under cooked, still I'm not complaining. The waitress at times was hard to locate but it was so busy that it's expected. She did seem a little rattled at how busy it was but still, she was great. Will be coming back again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.165219907; Sentiment_Subjectivity (from 0 to 1): 0.470023148 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My husband has a love for brick oven pizza and when we found Peppino's on a weekend stroll through Park Slope he was in heaven. We ordered the Margherita pie well done (I don't like a soggy center) with extra fresh basil and it was DELICIOUS!  The crust was perfect not too thick or too thin, the sauce was flavorful and there was just enough fresh mozzarella that you didn't feel guilty eating a slice or the whole pie, which we did :)  The staff is very accomodating and attentive.  We've made it our Saturday lunch spot and can't wait to try out all the other items on their menu.  Happy Eating!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233823529; Sentiment_Subjectivity (from 0 to 1): 0.623529412 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Seriously.  I want to sew my *** shut so it would never leave me.  This place has the best pizza ever.  It's a weekly favorite at my apartment!  I've only had delivery, never been there.... but wow!  Get a large pie with peperoni, ham, sausage and mushroom.  Mmmm; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.271825397; Sentiment_Subjectivity (from 0 to 1): 0.732539683 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Best Pizza in Brooklyn. I tried others and I have to say that they don't even come close. Cheesesteaks are great and the pasta dishes are real deal. Love this place.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.625; Sentiment_Subjectivity (from 0 to 1): 0.4875 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Quite simply, the most delicious pizza you'll get in the slope. Whether a slice or a pie, it's an amazing taste sensation to rock your world!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5625; Sentiment_Subjectivity (from 0 to 1): 0.689285714 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Go, go, yummy!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I moved about a block away from Peppino's, and it quickly became my go to place for when I want a tasty margherita pizza.  The atmosphere is comfortable inside, the waitstaff (er, waitress - it's been the same woman every time I've been) is incredibly nice, and the bruschetta is to die for.  Seriously - my wife (a phenomenal cook) has been trying to replicate it at home, but something about the bread is hard to pin down. I recommend that you get a Caesar salad, a small margherita pizza, and the bruschetta to share if there are two of you and you're particularly hungry.   Also, if you want to split the salad, they go ahead and put it into two bowls for you.  How cool is that for the down the street pizza joint?; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.096990741; Sentiment_Subjectivity (from 0 to 1): 0.50787037 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW. I love the Margaretta pizza!, Thin crust crunchy, full of flavor its amazing but it doesn't end there. The past dishes are amazing, and the best thing about it is you can order specials and they will make it for you. The fish specials and the Baked clams are full of flavor and SO FRESH. When i walked into this place i was expecting a pizzeria what i got was a full on Italian gourmet restaurant... Its very cute and family oriented. The Pizza is amazing, original Margareta is the Best, and if you want something different i suggest you should try the Arugula Pizza! The Pasta is Fantastic. The sandwiches are amazing, esp the grilled chicken fresh mozzarella roasted peppers and balsamic vinegar.. Mouth Watering! The appetizers are amazing.Try the Baked Clams or the Bruschetta I am without question and beyond doubt a Fan For LIFE!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.344568452; Sentiment_Subjectivity (from 0 to 1): 0.654761905 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I live in the area - and I saw that a Moroccan restaurant was soon opening - I was very excited as there isn't an authentic Moroccan Restaurant in the area. Finally it opened and it seemed as if I was waiting forever! I was seated by a friendly waitress - the small cozy intimate restaurant was full of energy - I was surrounded by Moroccan decor and music  it was a great atmosphere. The menu had my favorite Harirra (moroccan soup) and i was skeptical as it is hard to make a really good Harirra - I was plesantly surprised when i took the first bite - mouth watering goodness - I am one who likes to try it all - and with the AMAZING prices i was able to get a selection of salads and a Tagine - my boyfriend got the couscous. The "tomato salad" which was a mixed salad with chopped cucumbers/red onions/bell peppers/tomato and seasoning was amazing! the Carrot Salad was fresh and the Potatoe salad with olive oil and red onions and cumin was tantalizing to my tastebuds. The tagine was the Hot Spicy Chicken - chicken cooked in a spicy sauce with olives and french fries ( a traditional Moroccan dish) was AMAZING! The Couscous with Lamb was amazing - the meat so tender the veggi's so flavorful - i also went back a second/third/fourth... etc  and got to try a lot more - the fish tagine was superb- Everything was equally delicious - each time , each bite everything so was fresh - this is surely  a neighborhood find - i normally do not go into detail with restaurants but this place is AMAZING as i have very high standards being Moroccan but this place is a treat! Make sure you get some Moroccan Tea to end the night! An amazing find!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.279179924; Sentiment_Subjectivity (from 0 to 1): 0.676369444 [/INST] Not Spam</s>