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<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I think N really wanted the Carnivore's Delight, but I think they were out of meatballs, so N ordered the Little Riding Hood, but I think they were also out of that because I remember tasting N's chicken. I guess N ended up with the Howling? I am not a fan of chicken, but i love their orange coloured sauce. N got me curious about this place, I would be back for their non-chicken wraps!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.1125; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend wanted to do lunch in Brooklyn rather than Brunch in the city. I figured I shouldn't be so selfish and not ever wanting to go anywhere outside the city or outside a certain area and so I decided I should go out to Brooklyn. I never been to this Bergen Street area.  I have been eating too much Asian food that I wasn't really feeling for any Thai but G really wanted Joya, so I went along with the plan. G decided to get a Mango flavour martini and I declined on any alcohol intake and decided to go with the regular Thai Ice Tea.   I tried G's Mango Martini and I am so glad I didn't get any alcohol because it was really strong...delicious but it had a real kicked to it. G ordered the Short Ribs - G raves about the short ribs here but I wasn't too crazy about eating ribs since I have a "thing" about eating things that comes with bones on your plate. But I managed to get the meat off of the bones without much effort and G was right...they are good. G got the Chicken curry and I went with the regular Shrimp Pad Thai and let me tell you, I haven't had this good of Pad Thai for a very long time. The noodles were cooked perfect and the dish weren't too dry and it was soooooooooooooooooooooooooooooooo good! The shrimp tasted really fresh and I just love it. Throughout our lunch, G asked me if I thought the guy was cute...I said he's pretty cute for an Asian New Yorker but he's short.  Every time G goes to Joya, he's usually there and so G was curious about his name.  We ended up finding out his name is Gaeng. G kept on calling him over for things since G wanted to see Gaeng's face throughout our lunch. Gaeng's was really nice and he didn't seem as though he was annoyed with us.  So service was really great and attentive! My only complaint is that they don't have a set time on when they open on Sunday.  I had to wait over an hour by myself since G was late as usual. I have been converted...I would definitely come back to Brooklyn for some Joya!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.119627504; Sentiment_Subjectivity (from 0 to 1): 0.509298144 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has been on my list forever, but since I hate commuting, it took me forever to come here. L was in town, so H picked this place for us to come for dinner. I have to point out I had the Lini sparkling wine and I didn't realize it was a red, I thought I ordered a white and I am amazed to say I actually love it. I usually don't like red wine, but this one was really nice. Not too robust. They also have Saratoga, since I prefer that over Pellegrino. To me Pellegrino has a weird aftertaste. We shared the following: Wine Braised Octopus - I thought this would be good, but it wasn't, the octopus tasted overcooked and it wasn't braised well. The citrus was nice for me, since I love anything citrus, but it was too overpowering for H due to acid reflux situation. Artichoke Hearts And Aioli - this I enjoyed, but I was picturing like a whole roasted artichoke being presented and then dipping it into aioli. This wasn't the case. Masami Ranch Ax Handle Rib Eye ****please allow a minimum of 45 minutes cook & rest time. to share. blend of wagyu and black angus. ax handle ranges from 35-65oz. ax handle not available within 1hr. prior to closing.***** Okay this is what we came here for and I want to say when I cut this chunk of meat for us.....omg, I really did put my back into it. It was a lot of hard work. This steak could have been more on the rare side to make it a perfect medium rare.  It had huge chunks of fat and it was decent, but my complaint is the salt wasn't evenly distributed. I had ate a piece of it where it was super salty and the other parts that weren't and so the whole steak was pretty much like this and it should have been evenly seasoned. Grilled Corn On The Cob w/ citrus butter and parmesan - this was yummy. Who doesn't like a good corn on the cob? Pan-Fried Mashed Potatoes w/ truffle oil - didn't detect any truffle flavour. It tasted like pan fried mashed without the truffle oil. Not the best meal I had, I won't be rushing back here, but I definitely don't mind the corn on the cob.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.183119658; Sentiment_Subjectivity (from 0 to 1): 0.486111111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to come here since I first learned about an actual restaurant that specializes in "BOIL". This is my second time having crawfish boil in New York City. First time was a special menu at Duane Park - a total miss on what a good boil should taste like, so I was skeptical on coming here. Let me tell you, I know a good boil and I have to say this place does a decent job and I have to say that in the loosest sense. Since no other places in the city does crawfish boil, of course this place is decent; when competitions are none existent. So yes, it is decent, but definitely NOT THE BEST BOIL if you're going to compare to the boils in the South. I felt the best part of the crawfish...the head; didn't absorb the flavour as much as it could have and therefore, made the head not as prized. S and I came here, but I didn't know S is used to getting spoiled, which I mean S is used to people peeling and cracking all the seafood and ready to eat to consume. I am used to working for my food, I believe that is main point and the fun of gathering at a boil; getting down and dirty. S looked really stressed and worried - S was so tensed, that S's eyebrows were coming together as S's eyes squinted and peeled with extreme caution. We shared the following with the "THE BOIL" and extremely Spicy and Fire. Crawfish - lack garlicky flavour and goodness that I love Lobster - umm, a bit bland. Didn't take on the flavour as much as the crawfish Snow Crab - also bland. Yes, this place is a good place for the people who are unaware of what a good boil is or for those who has never had a boil, since you don't have high expectations. The price of a mediocre boil is a bit overpriced and the cash only thing is also a bit of a hassle. As for me, it doesn't satisfy my cravings nor longing for one of my most favourite thing to eat.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.157212417; Sentiment_Subjectivity (from 0 to 1): 0.518821271 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: J's friend suggested this place and my friend E raved about their truffle rangoon, but I didn't see it on the menu. Now that I see the menu online, perhaps it was the Philly Surprise? I swear I didn't see that on the menu there. I didn't see anything with the word Truffle. I got the Ginger Mojito - not very gingery or minty and it was weak. I usually can get buzz off of one drink, but nopes....not here. Pulled Pork Empanadas sweet & spicey cilantro dipping sauce - J loved the crust of the empanadas, but I thought it was too dry and too crumbly. It reminded me of a graham cracker crust. I didn't like it at all and didn't care for the overly sweet pulled pork inside either. Steak Tartare (nigella seeds, shallots, violet mustard), mache, almond oil, artichoke mousse - they didn't provide you with any sort of bread to accompany this dish. I thought that was weird. This was very lacklustre and just boring.  The most mild manner tartare I ever had. Braised Octopus, Carrot & Rainbow Radish Salad citrus cumin dressing, cilantro - yawn. Crispy Brussels Sprouts fuji apples, crème fraiche, pistachio nuts - our waitress said this was the best dish on their menu. After hearing that, I seriously, thought I should be worried about our dinner, if this one dish was supposed to be the "best" thing on their ENTIRE MENU. No, it wasn't and I am sorry, it didn't change my life and my tastebuds didn't dance at all. Squid Ink Paella mixed shellfish, chorizo, preserved lemon, guindillas peppers & scallions - I think our dish said the Seafood Paella. This probably was the only dish that I remotely enjoyed. I like their spin on cutting up the squid that appeared to resemble noodles, when we first saw it, I thought it was their take on paella, using noodles rather than rice. But it was squid and it was good, nothing to write home about, but the best thing I tried that night. The place is super loud - not good, since I am hard of hearing.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.105357143; Sentiment_Subjectivity (from 0 to 1): 0.598511905 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Trekked to Queens to try this place that was voted the best Thai food in NY. MM wanted to sit in the garden and there was a constant buzzing of bees around us. Great. I got the Thai ice tea - insanely sweet, the sweetest Thai Ice Tea I had ever. Tone down the sweetness please. We shared the following items: Papaya Salad - it tasted like any other salad. Watercress Salad - this was probably the better salad. I appreciate the seafood toppings. The chicken was dry though. Shrimp Pad Thai - MM said someone said they have the best pad thai and though I wasn't down for Pad Thai, I decided why not, since this is the "best" place for pad thai right? Wrong, the pad thai was again too sweet. Shrimp Green Curry - We couldn't substitute shrimp with trout. Most places you can choose your protein, but this place was just Shrimp belongs in Green Curry and that's it. This wasn't anything special either. When we were eating, someone took away our sunbrella without even asking us. Like seriously, staff here should be more courteous. I didn't think much of this place, but perhaps I should come here with a Thai person and let them do the ordering.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.212781085; Sentiment_Subjectivity (from 0 to 1): 0.49416336 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: People has been raving about their brunch here and so it's been on my list to go. Since all the Flip places were closed for the holiday - I texted H and advised changed of plans and we ended up coming here for some brunch food. H got the sausage and egg sandwich - we both don't like fennel, but luckily it didn't overpower the dish. I got the chicken and egg sandwich - thank goodness it's not fried and the chicken was nice and moist. I only gave this place 3 stars, because I expected a lot more from a place where people raved so much about. I got a bloody mary here - it made the weather even more unbearable.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.006060606; Sentiment_Subjectivity (from 0 to 1): 0.666666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: E and I passed by here and I told E about their Lebanese ice cream, where they stretch it out like taffy. E didn't believe me, so we ended up coming here just for dessert. I asked the hostess if they still have it and she had no clue on what I was talking about. OKAY, don't you work here? She had to go and double check with someone in the back, since she didn't even know what it was. Anyways E and I sat in the lounge and we shared the Lebanese Ice Cream - Milk, Pistachio and Chocolate. E liked it, but I think I prefer traditional ice cream texture - the texture is almost like a marshmallow and lack the creaminess that I love in ice cream.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.441666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 I was excited to try this place that was categorized as "African Fusion" and so S and I went after watching SATC2. S was really excited about tasting African food, since S never tried it before and I only had it once at Merkato 55 - both of us were no experts to African cuisine. When we arrived, we were seated on the left side of the restaurant. The benches were really uncomfortable and the throw pillows were a bit annoying, since there really wasn't enough room for them. Went to wash my hands and the small hallway between the unisex bathroom and employees only room was danger zone. The area was stuffy and hot as hell and you'll be crushed between two doors if both were to be open simultaneously. Oh the bathroom door was done poorly as well - be careful with this door. Moving on....I looked at the front of the menu and it was labeled as African, French and Mediterranean Cuisine then after skimming over the menu, I am wondering if this place is even African? This menu has A.D.D. - it's all over the place. Lobster BLT? Wouldn't that be more American? Oh my bads, it was on a Brioche bun, so it must be French then? I know I am no African food expert, but the menu here is more French than anything else. They even had Tiramisu and Thai Chicken Spring Rolls....ummm wouldn't this fall under Italian and Thai then? The disheveled waitress came and took our order and S got the "American" Lobster BLT and I got the Moules Africana mussels with African spices and shallot garlic white wine sauce. served with french fries. We ended up sharing our meals and Lobster BLT came with shredded slices of lobster meat. I am talking about 6 measly cut of lobster shreds. I tasted more of the Bacon than the lobster meat but S is easy and thought it was tasty.  I am not saying this BLT minus the Lobster meat wasn't tasty as a regular BLT would taste, but this thing was listed under LOBSTER. As for my Moules Africana mussels - I didn't taste any Africa in my mussels. It tasted like any other French Moules I had with white wine. But my fries, OMG they tasted like they been reheated and I didn't touch them after one bite. S was downing the frites and raving how good they were and I said something must be wrong here. I tasted S's fries and S tasted my fries, S agreed that my fries tasted off. S's fries tasted better but I wasn't into the lacklustre fries here. They're more addicting at Jane's! After the waitress was clearing off our table along with the large bowl filled with my untouched fries...I mentioned the fries tasted different than S's. The waitress told me it was because it was different spices. Ummm no, if you call chopped up cilantro used as garnish on BOTH of our plates as spices...NOPE! Or how much percentage of Salt....NO again. I didn't bother when she made that comment, it's like really....my freaking fries tasted disgusting and they were inedible but oh wells. The waitress brought out the dessert menu....PASS on the French desserts. If I wanted to eat at a French restaurant I'd have picked a better one and one with better serving staff that were more well put together.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.047911445; Sentiment_Subjectivity (from 0 to 1): 0.39439464 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 having trouble deciding if I wanted to do something restaurant week, like S was suggesting or go to a regular spot. I decided to try a new place that's been on my list, since I have been dying to try their charcuterie. S and I ended up sharing the following items: gravlax - I was not much of a fan of this smoked salmon. It was one of the fishiest gravlax I have ever tasted. I love fish, but I definitely not into the fishy flavour. merguez - this lamb sausage was good with the accompaniment mustard. duck prosciutto - I have to say this was S and I's most favourite one. I am sad, I only ordered one order....I wanted a lot more of this delectable goodness. chicken liver mousse w/ cornichon relish - this was okay, not the best liver mousse I've tasted. counrty pate w/ tin whole grain mustard - the pate was a bit bland without the mustard. My only gripe about the nice spread was the bread. I feel they should provided a thinner cut of bread and offer some variety of carbs, rather than just that one standard thick slice of bread. Of course, when I saw bone marrow - I explained to S how much I adore the stuff. bone marrow & brisket burger - the burger was okay, didn't taste too much of the bone marrow. I guess, I expected more...I expected it to change my life. Well, this burger didn't! Service was good and I guess I expected a lot more than what this restaurant was able to provide after hearing about them.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.168156566; Sentiment_Subjectivity (from 0 to 1): 0.500493395 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First of all, I would like to say this place is totally overrated and definitely not the "best" burger. H and I came here without a resy...yes, what a big mistake, but I figured it was an ugly raining day...do you really need a resy? Apparently, you do at 6:30 pm on a muggy Thursday night. We ended up sitting at the bar and looked over the drink menu. I was curious about the Rhubard Cocktail, but I wasn't sure if I would enjoy Rhubard in a drink form. However, after tasting the Champagne Cocktail, I wish I did take the chance. The Champagne Cocktail - which basically was just a single raspberry floating inside the bubbly. Roasted Bone Marrow  with baguette soldiers and shallot confit - a good portion and they definitely give you a lot more of it than DBGB, but I still have to say DBGB still ranks the best for bone marrow. It's seasoned so much better and just damn good. Black Label Burger - selection of prime dry-aged beef cuts with caramelized onions and pommes frites. This is the burger MT is known for and not to mention highly publicized for this dish alone. I expected this to be life altering in some shape or form, but it didn't cut it. This burger wasn't even flavourful or juicy for a burger to be called good or the "best". I was really disappointed and I tried to save this burger by slapping on some condiments, but it was pretty much hopeless. The burger that ranks the best should not need to be saved or revived. *sigh* I just don't get it. I was still craving a burger after eating this dish. H and I both don't like chocolates, so their dessert menu left us with slim pickings. Gees. So we ended up getting something boring as a Warm Hazelnut Crèpes - filled with hazelnut frangipan cream and hazelnut brown butter. This dessert seriously came to us after 30 minutes upon ordering. Did we order a souffle? Gees, it's just a ridiculously plain crèpe - it seriously, took so long that H and I forgot we even ordered it. We asked each other, what the hell are we waiting for again...did we order something? Like really...??? Our order main order took forever and now our dessert! This was the longest dinner! I definitely laugh at the fact this place is rank the BEST for burgers.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.157589978; Sentiment_Subjectivity (from 0 to 1): 0.500201181 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A likes this place, but I didn't really care for the stuff that we had - charred octopus...it's not as good as the place where E and I went. We got the short rib pappardelle special, since waitress highly recommended it. A loves short ribs, but I thought it was just too heavy for my liking. I guess I expected more from here, only because this place was really packed and had a long wait line for two people.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.147261905; Sentiment_Subjectivity (from 0 to 1): 0.459285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has been sitting in my bookmark for the longest and I finally got to try this place with T.  (There, that's your honorable mention---do you want me to spell out your whole name too?)  Anyways there were some communication malfunction and somehow I had to wait by MY LONESOME for 30 minutes outside.  When I first got there, I totally did not know where I was going since 152 leads to some residential entrance. I had to call them in order to get the exact direction since their lighted sign is no where near the restaurant itself. As I jolted my name down for two and they advised they would call me once the table is ready. *sigh* would they really call me? I do still have a Texas # (I know, I am bit attached to my number since I haven't change it for years and I am pretty proud of that!) I have experience a lot of times when people were fickle about calling an area code outside of NY. Finally T arrives, and we waited and waited and I was pretty worried they wouldn't call me if our table was ready and I said let's wait inside.  They have this area where it's designated for smokers.   OMG---kill me with the fumes!!!! I am sorry but I am a bit OCD when it comes to aging.  So yeah, I didn't particularly cared for the smokers. 2 hrs later, we get our table and we ordered a couple of dishes, but I am just not wowed. I mean to wait that long-I expected a lot more.  I still like TAISHO a lot better.   Since you have more choices and plus Taisho has forks!!!! I can manage to eat with Chopsticks if I was grabbing certain items but I never ever use them to eat udon or anything that consists of noodles. (I was experiencing a lot of pain in my left wrist during this meal!) They told me they will see if they have any forks and knives, they came back with only the knives.  I never paired a chopstick and a knife together before.  But I guess there's a first for everything, Would I come all the way here again and wait 2 hours and strain my left wrist by eating with chopsticks... that's a HELL NO!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.158372603; Sentiment_Subjectivity (from 0 to 1): 0.484927249 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Passed this place by for years and never once step foot into this establishment until yesterday. My out of town friend's friend wanted to check this place out, since she's was like me always gone to Fat Baby but never Verlaine. S wanted to come here for Happy Hour and I was surprised to know that their HH ends at 10 pm.   When I arrive late I saw they already down a couple of drinks and ordered food.  Once I took a quick look at the menu, I was surprised to know that this place has an Asian twist.  I would never guess a place named Verlaine had Asian influences. K said for me not to eat the dumpling and that they were disgusting.  I guess from seeing the untouched dumpling made me a believer.  I only got to taste the calamari - it was decent but not something to rave over. K also said not to order this one drink (sorry I forgot the name!), so I opted for the Sangria.  I wasn't a fan of their Sangria.  I didn't care for the fact they added lychee into the batch.  It's like seriously, you don't have to put an Asian twist on everything! Sorry, I am not a fan of lychee. I hate lychee and I never could stomach the taste of it and I wish I could.  If I could, I probably would understand all the rave about the Lychee Martini.  But K said the Lychee Martini was good, so perhaps other Yelpers are right - get the Lychee Martini! The atmosphere was nice and crowd was decent - no eye candy but hey it was a Wednesday night.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.024527589; Sentiment_Subjectivity (from 0 to 1): 0.647600151 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been wanting to try this place and finally a chance to come here with M, since it was near Glassland. I wasn't sure what to order, so I believe getting the chicken is the safe bet. M decided to get the fried catfish. We both had sweet tea - I didn't drink this tea all that much growing up in the South, but it is nice to have it once in awhile when you're craving some Southern aspect. M didn't know what Sweet Tea was and never had it and M liked it. Fried Chicken - chicken was moist, but the fried part of it, there was no flavour or spice. If I am going to eat this much calorie, I want it to be worth it. I ended up just eating the non-fried bit. I wish it had more flavour without me adding hot sauce to it. Fried Catfish - really good, I actually like this a lot better than my fried chicken. Mac & Cheese - this place makes better mac and cheese than Macbar in Soho. I appreciate the slight bit of hot sauce within the middle of the pasta. A bit addictive, I wanted more, but it was M's side order and didn't want to take it away. Cheese Grits - I got this, since I didn't want us both to get Mac & Cheese. This was also good, but I prefer the Mac & Cheese better. I ate this together with my Fried Chicken to give my poultry more flavour. Biscuit - Not as flaky as I thought it would be and not the best biscuit I had. I shared my half with M and I advised to put some honey. M thought I was crazy, but M got hooked with the biscuit and honey combo. Cornbread - I love a good cornbread, their version was just a simple cornbread. I prefer my cornbread to be more moist than dry and crumbly.  I know some people like the drier counterpart, but I like mine just slightly more muffin like. We had no room for dessert, I really wanted to try their high ranked desserts, but unfortunately we were stuffed. The service was friendly and I definitely would come back here again to try the desserts.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.174673913; Sentiment_Subjectivity (from 0 to 1): 0.55368185 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 good, loved the cucumbers and tomatoes, but they are so shiesty with the hot sauce. Seriously TWO tiny little drops and it was only topped on the veggies. Once you got down to the falafel - nothing else was there. I prefer Maoz.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.121701389; Sentiment_Subjectivity (from 0 to 1): 0.650694444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, I am back and I had to lower the review down a notch - I actually did come here for my birthday dinner. I want to say I was a bit annoyed, because one of my friends didn't show up and I didn't even realize this and our waiter just put in our 10th order when I said could you wait while I try contacting her. No one answered, which I later learned that my friend locked herself out of her apartment and she didn't have her phone, but regardless, the waiter went ahead with the 10th order. WTF - without me confirming, why put in the 10th person? People usually hate group dinners and so I try to be considerate of other people and try to do things that are not painstaking when it comes to these types of affair. This place made it difficult and I felt bad for my guests, since this threw off the price and I didn't want my friends to spend so much for dinner. Moving on, the edamame was off along with the foie gras that they have now added  a $3 surcharge to the tasting menu. The foie gras was more gamey and K ate it last time, but this time you couldn't trick K to eat it. Churros were still a hit with that delicious passionfruit dip. The steak with the shisito peppers were good too - didn't have this dish before. Besides the two dishes that were off and I really have to say they really need to work on the confirmation. I have never been to a place where they would automatically put in your order without confirming and they knew there were only 9 people.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.00628655; Sentiment_Subjectivity (from 0 to 1): 0.494590643 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: M was coming in to the city and asked me if I like risotto. I love risotta, so I was definitely down to try Risotteria with M. I Yelped it and saw it had really high rankings and large number of reviews and so I gave M the go ahead and we came here for lunch. The breadsticks - yes, they were warm, but they weren't good enough to me for me to do a carb overload. I had one bite and that was the end of that. M got the Pine Nuts with Lemon and I was a bit disappointed in the lack of seafood options - you either get calamari or shrimp. You can't get both and there wasn't any other seafood options like scallops. Anyway, so I ended up getting the calamari with garlic due to the waiter's suggestion. I would like to say if you're going to name your restaurant after risotto or completely dedicate your entire restaurant to a certain dish - you better be damn good at it. I am sorry, but this place is really crazy to get this much high rankings. Are you guys all tourists? (Everyone were tourists, when we came here!) Have you guys never had good risotto? As I am writing my review, I see Srini V. giving this place a 2 star - wtf, I guess I should have clicked on the entire page rather than just doing a quick glance of the rankings. Our risottos - they both were cooked unevenly - I had really soft risotto and then some insanely hard ones. WTF - this is RIsotteria, right? You guys should really change your name, because risotto is definitely not your specialty.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.060703339; Sentiment_Subjectivity (from 0 to 1): 0.560216201 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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, I have been wanting to come here since it first opened, but never had the chance and I finally decided to come when my friends were in town. Since J kept wanting a burger, I said why not Umami Burger - it wasn't a long wait, thank god and we were seated promptly. We got the Truffle Especiale - J wanted this, but I thought this was a bit too meaty for me. Short ribs topped on a the beef patties - way too heavy. 5 Spice Duck - I didn't care for this either. J loves fried pickles and so we got that and I didn't like their batter. It wasn't good at all. The truffle fries were good though. Overall, I believe this place is over-hyped and I felt the meat and bread ratio were way off. I didn't care for their bread - not good enough for me to eat carbs,; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.140909091; Sentiment_Subjectivity (from 0 to 1): 0.484848485 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 reading the reviews, I thought perhaps this could be it....you know my spot for Banh Mi. I usually get Banh Mi Dac Biet or Banh Mi Ga. I don't get Ga unless I know you can make the Chicken right, so usually Dac Biet is the safer route to me since it's just cold cuts. C and I walked over here on a humid day and saw they had a lot of "cold" food - papaya salad, goi cuon and variety of drinks. C got the papaya salad with Banh Mi Pork and I got the goi cuon. I asked for Banh Mi Dac Biet, but they said Banh Mi Pork was it. I asked if they were sure, but the lady assured me it's the cold cuts. This is not Dac Biet because it doesn't have head cheese and the pork. Gross. It wasn't even Thit nuong since it tasted like heavily fried and not grilled. I rather go to Banh Mi Paris or whatever that place is called than this place. They actually know what's Banh Mi Dac Biet and they offer Vietnamese names on their menu. Goi Cuon - eh, disappointing. This place was definitely not worth all that walking on such a gross day.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.204285714; Sentiment_Subjectivity (from 0 to 1): 0.518306878 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here a long time ago and I didn't remember having a bad experience or not liking their food. My Vietnamese friend took me here and ordered for me.  G again wanted to eat Vietnamese food and I told him we should go and eat here, since I remember it was good. This place is totally full blown Chinese restaurant not Vietnamese at all. We both ordered Pho Bac Biet.  OMG----are they for real? Yes, they gave us rice noodles but not the correct Pho Rice noodles.  They made Pho with flat-wide noodles. How are you going to give me a lemon and not lime for Pho? The CHA GIO---Vietnamese egg roll or spring roll It was totally Chinese!  You would never give a sweet and sour sauce with a Cha Gio. G didn't care-since he can't tell the difference anyways! After coming here to eat - I remember my friend didn't order any "Vietnamese" dishes here.   At least the other restaurants on Baxter- are Chinese born Vietnamese.  But here-I think they are all Cantonese since that's all I heard. When G was getting change and trying to put back his money.  Why this dude try to take the money out of his hand and said, "TIP TIP TIP!" OK *&(*(^&*%$^&, G already left the tip at the register.  How is this guy going to just snatch money out of G's hands? Can we say Rude? P.S They use Styrofoam cups still --  let's add more waste and destroy the earth!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.025657895; Sentiment_Subjectivity (from 0 to 1): 0.296929825 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Update:  The General Manager Luke called me to let me know that they aren't going to replace my Anthropologie dress.  My dress was new and not cheap.   They are so unprofessional since they are not keeping their word. Luke advised its because of my blog on Yelp? WHATEVER!!! They absolutely didn't do anything at all at the scene of the incident to make up for their mistake, so I highly doubt that its because of this review. SERIOUSLY, don't try to make up excuses so you don't have to honor your word. In my culture, we take honor and respect very seriously and this place need to learn about keeping their word. What kind of restaurant is this? I feel like I went to a fast food joint with this kind of unprofessionalism and service. BAD food, BAD service - no wonder they have BAD Managers running their restaurant. NO STARS (THOUGH YELP FORCES THE ONE STAR), NO LOVE, AND NO RESPECT!!!! COME HERE IF YOU WANT YOUR OUTFIT TO BE RUINED AND IF YOU WANT TO BE ABUSE AND EAT DISGUSTING TASTING FOOD. Their pork dish made me want to become a Vegetarian! They even managed to gross me out by strategically placing the pork as though it was a whole pig. ECK! I don't mind meat, but I don't need to be reminded on how a pig looks.   PRESENTATION SUCKS! IN ORDER TO PROTECT MY FRIENDS, LOVED ONES, PEERS, AND CO-WORKERS - I AM ON A MISSION TO TELL EVERYONE THAT THE MANAGEMENT, AND FOOD SUCKS AT THIS ESTABLISHMENT!!!! TRUST ME - I GOT THE GIFT OF GAB!!!!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): -0.161796402; Sentiment_Subjectivity (from 0 to 1): 0.621393939 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A and I came back here, since we both are obsessed with their Hirata buns. Ummm, this was the first time ever we weren't happy at all. The pork was so dry and tasted gross. First, it was the Ramen and now I guess the Hirata buns aren't good as when they first opened!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.193981481; Sentiment_Subjectivity (from 0 to 1): 0.466666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I gave this place 3 stars only because I didn't taste anything mind crazy good. It was good, but nothing that blew my mind. F cancelled on V and I again, so we decided to save Korean BBQ for another day. I picked Ngam, only because it was new and I just saw something online raving about their chicken wings. Andrew was our waiter - cute and sassy. I was a bit apprehensive on ordering a cocktail here - all of their cocktails are soju based. As memory serves me - I don't do well with soju, but Andrew insisted that the soju were fine. I got the Below the Root - it was ginger flavour, but I didn't taste that much ginger. Perhaps because I expected my drink to be overly gingerly, since Andrew advised this cocktail was for extreme ginger lovers. V got the Mojito one - I liked V's better. We shared the following items: Crabcake - it was the special for the day and it was really good, but I felt it could have used a bit more acidic. Raw Oysters - Yums! Chicken Wings - ummm, underwhelmed. There shouldn't have been an article written about these chicken wings. It was just okay, nothing spectacular. It was moist, but just not seasoned well enough. Mushroom Spring rolls - these were good. Love the light flaky shell. Mussels on the Beach - really yummy coconut milk based curry. We ordered too much for two people and we were stuffed to the core. I would come back if I was in the hood, but not trek all the way up here with V with V's bike in hand and I would skip out on the chicken wings.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.149115988; Sentiment_Subjectivity (from 0 to 1): 0.607422265 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here with the double L's and did not realize Tchoup was not open this weekend. Fortunately for us, they left some gumbo and biscuit to please the crowd. I noticed everyone came here looking for some NOLA style flavour and were quickly disappointed. I was a bit nervous since L, is barely 2 years old and it was weird to have a baby in the bar and soon this bar got really crowded and crazy. We were waiting for our gumbo, that the girl bartender Sylvia estimated to be ready in 30 minutes. This was an hour or so ago, when she advised the time of the gumbo. She didn't even mention the biscuit until I inquired about them and lucky they could deliver the biscuit a lot quicker than the gumbo. L was hungry and we were already waiting for this damn gumbo forever. We got the biscuit, they burned it - I want to say despite the fact it was burnt around the edges, these biscuits were still good. We ended up ordering another order of the biscuits. 3 hours later, FINALLY damn gumbo comes out and the guy with the dreads said, the person didn't know how to make rice and this is why it took so long, since they had to redo the rice. He made a unfavourable comment about Houston, but meanwhile homeboy is from Dallas - I wouldn't talk about H-Town, when you're from Dallas...okay! So yeah, talking mess about H-Town, when he didn't even want to admit he's from Dallas. Like really, don't act like you're so above H-Town and act like you're such a creative soul, but meanwhile you were hesitant to admit that you're not a native New Yorker and you're actually from Dallas. Anyways, moving on - The dread dude, I forgot his name, but he gave us a little bit of the gumbo without the rice and I want to say the gumbo was a bit too salty sans rice. With the rice, was less salty, but I really would have prefer if they took it easy on the salt. Also, I want to say the dread dude kept saying how he was going to be "extra" heavy handed when he ladle our soups into the metal bowls. Ummm, okay, I am sorry, but lucky we had the biscuits because the serving size of this gumbo and supposedly it was "heavy handed" was really sad. They didn't have any spoons, but the dread dude didn't even tell me this instead he kept telling me supposedly this lady was going to bring us another spoon. He made me wait and wait and he kept telling me spoon was coming shortly. Okay there were only three ladies there and one was a friend of Sylvia's who had to pitch in to help her friend out and nobody looked like they were looking for a spoon or getting me a spoon. I finally asked the brunette bartender, she had no clue about this spoon and she came back to say we actually don't have any spoons, but she found two forks. Ummm okay, I want to say the girl bartenders were all cool and sweet, but seriously the dread dude got to go. Why lie about the spoons and give us this run around about the gumbo. He kept saying it's coming and yada yada - meanwhile we waited 3 hours for this gumbo. Like seriously, this gumbo was not worth 3 hours of wait time! Biscuits were good and that's all I have to say! I would give this place another chance, but definitely when they're back in town. d.b.a should also take the Tchoup advertisement off of their chalk board, rather mislead people to come in and walk around aimlessly looking for food. If they're not there, just let people know only a very veryyyyy LIMITED menu is available. Also, there was this weird dude there, not sure if he was on crack or whatever - he was there before I got there and stay there after we left and the whole entire time he was there, I saw him in 5 different ensemble and he passed out flyers. But they actually weren't even flyers, they were just a Japanese post card that he handled it to me after he bowed to me. I didn't take the postcard, so he took it back and pass it to another table. Then he went to the side of the bar and grab all these miscellaneous cards, flyers and magazines and threw them onto the bar. Then he comes around me and opens up this realty magazine and leaves it there open and walks away. The fill-in bartender girl asked me what's his deal - I am like I don't know, but that fool is crazy.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.024509551; Sentiment_Subjectivity (from 0 to 1): 0.476766532 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 or should I say Yum-O as Rachel Ray puts it! This girl, J  always comes here to eat and so one time she asked if I wanted to go with her. But meanwhile she told me one of her LOUD friend was going to join us and that I could handle him. He first made me change chairs with him without even asking instead just forced his rinky chair on me because he said the wobbly legs wouldn't hold his weight up. He then started talking about pink-eye and bed bugs and I ended up having a look of disgust on my face. J saw my face and asked me, "Do you have to go?" I said, "YES!" and walked away from the pink eye, dirty man... He then asked her, "What's wrong?  What did I do or say?" Umm how about what he didn't say? Hello I am a germaphobe so don't speak infront of me and tell me how filthy you are to make my skin crawl! So I didn't get to experience this the first time around. The second time around J asked if I wanted to come and treat M for her birthday.  I said, sure and so when we got there J was greeted with smiles. J is a regular there and she speaks Italian so we got the royal treatment! We got glasses of wine and home made tiramisu for free. I ordered the spaghetti bolognese and the best bolognese I ever had in my life.  It wasn't heavy or too salty - just perfect! I always order their bolognese just because I always crave for it but now I cannot wait to try their Pappardelle with Sausage In Spicy Tomato Sauce since I found out my other friend always orders this dish! Yes, the space is tight and this is why I would go with J because the owners kicks other people out to give us a table.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.013956767; Sentiment_Subjectivity (from 0 to 1): 0.487799627 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm going to start off by admitting my rating may be influenced by the fact that I have to go way out of my way to get to this place. So I might be judging it more harshly because I expect it to be better given the effort to get there. Service is great. Everyone in the cozy restaurant is very friendly and helpful when it comes to suggestions of what to order. The place is probably best for a quiet lunch date as it is cramped. I definitely wouldn't come with a group of kids or girlfriends during a shopping excursion. I find the lamb sandwich incredibly overpriced (around $11) and definitely not worth it. It was pretty darn small and stingily filled. It has a lot of flavor while being flavorless. That is, I feel like the actual ingredients are kind of flavorless, the lamb, the vegetables, etc. but all the seasoning is an overpowering mishmash of tastes so you end up with something indistinct. The spanakopitakia are tiny little triangles of yummy, flaky, buttery, spinach-y goodness. They might be a little rich for some but I love them. Definitely great as an appetizer or as a light snack on their own. The baklava is good. Not spectacular but everyone has their own preferences when it comes to baklava. I find the layers a bit too dry and I wish the flavor was a little more nutty and less dependent on spices for taste. Overall, I'm not sure if I'll be back but it's a nice place to stop in if you're in the area. I will say that the times I've been in I've seen people ordering salads which looked delicious so maybe that's their specialty.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.260185185; Sentiment_Subjectivity (from 0 to 1): 0.601080247 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 wanted to love these, but...meh. If they had come as a side dish I probably would have enjoyed them more, but as the focus of a restaurant/a meal they fall short. The shop is very small and isn't really the ideal place to stay. This definitely feels like a street food, grab-and-go kind of establishment. Thus, I was surprised to find that some of my fries were cooked to perfection, lightly seasoned and golden brown on the outside, and fluffy and soft on the inside. However, even the regular is kind of a large portion and I'd say about a good 25%-40% of those fries are of questionable quality. I did like the sweet mango chutney mayo that everyone is raving about but it didn't taste too much like mango or chutney. Really, I got a sweet, tangy, mayo. Nice, but I'm not going to be running back to Pommes Frites.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236126374; Sentiment_Subjectivity (from 0 to 1): 0.514442096 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Before launching into excruciating detail I'm just going to say that I think this place is adorable, quiet, and lovely and the food is good but a bit too soft. OK...now for the excruciating detail. I was here very early (2-4pm) and it was raining so there weren't a lot of other customers. I can't say how it would be on a normal day but I found it very pleasant. There's a bit of bustle from the kitchen but otherwise it feels like a little haven away from the world, with old-fashioned jazz shimmering through the air. They had me from the moment I recognized Ella Fitzgerald's version of "A Tisket, A Tasket". I opted for the jasmine pearls...a good staple tea. It was lovely good quality jasmine. They're good about adding more hot water when the notice that you're out but if the waitress isn't moving about the dining area then it's a bit hard to get her attention. The teapot is very small so each pot is just a little more than a cup of tea (see picture). I chose to get the afternoon tea set so I'd get the best idea what a tea experience here is like. The strawberry bagel was very yummy. To me, the bread was more pretzel-like (traditional soft pretzel like from a street vendor) than bagel-like but I didn't mind because both are delicious. The heat from the bagel melted the strawberry filling and caused it to ooze and drip from the center making it very messy to try and eat. The strawberry is some kind of cream that reminds me of strawberry pocky. The salmon bagel also had the pretzel-like bread. There was some sour flavor, some onion in the spread, and some herbs. It was a surprisingly complex mix of flavors and textures. The salmon was very light and smooth. It didn't have that strong, artificial salmon flavor at all (which was nice) but I found it getting a little overwhelmed by the other components. These two come out at first. (see picture) Then, they bring out a long rectangular tray with all the sweets. (see picture). The corn muffin is amazingly good. I was expecting dry cornbread. I got little corn kernels embedded in a super moist cake, with the sweet-corn taste you get from certain Chinese porridge/congee deserts. It's served warm and melts in your mouth. The green tea pound cake is served cold and is very meh. A sort of muted jade color, it is too soft and crumbles at the slightest touch. There's a nice light green tea flavor so you don't have to be afraid you're going to be overwhelmed if you don't like green tea but that leaves it also feeling a little bland. The mint chocolate macaron is very soft and moist as well. The shell crumbles nicely but it's so soft that it comes across more like a pillow mint than a macaron. Also, the flavor isn't much of a "wow" as far as macarons go. The scones are encrusted with rock sugar crystals on the outside. They are also very soft and moist but they have a nice crunchy crust to counterbalance the softness and the sugar also adds some nice texture. One is a bit savory from what I think is salt and caraway seeds. I fell in love with this one. It reminded me of making Irish scones and soda bread. The sweet one had chocolate which I found overpowering and unpleasant. Also, I had reached my limit by this point and couldn't manage to finish it. The service is very friendly and helpful. Feel free to ask questions or ask for recommendations. You can also purchase tea to take home for yourself or as a gift but personally, I'd just go to Ten Ren or somewhere cheaper. The lighting is a bit dim which I suppose could be construed as romantic but I would feel awkward having a date here unless more people were around. Cash only. Restrooms down the hall beside the kitchens. Impressively and frighteningly high tech. The tables are small and I suppose for groups they could be pushed together but I wouldn't bring more than a few people in a group.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.176307243; Sentiment_Subjectivity (from 0 to 1): 0.574620507 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 came here with a friend. On a Saturday night at 9pm in the middle of summer with no reservation, the wait was less than an hour. We were chatting so I wasn't really paying attention to the time and there were few people ahead of us anyway. It's longer than I would typically wait but we didn't really feel like wandering around to find another place. Things seemed to move quickly enough given the circumstances. I ordered the soba with duck and scallions and I think she ordered the tuna. I hate the way the duck was cooked. I don't eat a lot of Japanese food (aside from sushi) so I was missing my juicy, flavorful Chinese-style duck. The duck was very well done. It was rather tough and chewy. The duck was sliced thin, almost like how I'd slice beef, and very fatty. The noodles were OK. I wasn't aware that soba noodles are made with buckwheat at the time so I was surprised at how rough they were. But the thing that really ruined the soup for me was how salty the broth was. It was impossible to ignore how salty it was. If it had been better I might have had a different opinion but to me it was overpriced given the fact that Chinatown is so close and there are much better options for noodle soup with duck. We went back and forth debating the matter but eventually we decided to order dessert. I chose the green tea brulee and I am so happy I did because it redeemed the meal. There wasn't a real intense green tea flavor but for my taste, there was enough. The sugar on top was perfect. The texture of the creme brulee was very creamy. It was almost more like a pudding but whatever it was, it was delicious. Service was very friendly. The hostess was lovely about getting us seated as quickly as possible and the waitstaff came back to refill our water glasses and check in with us a few times. My recommendation would be to just come by and get the green tea brulee. You're an adult. You make your own decisions. ;); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.110200258; Sentiment_Subjectivity (from 0 to 1): 0.496976744 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A couple of hits and a couple of misses averages to a 3 star review. Skip the bread and olive oil they put out for you. Bad olive oil. Gnocco Fritto- Really didn't live up to the hype for me... It's fried dough, people. There are like 2-3 ingredients tops. They are actually in the shape of little pillows, but mostly hollow inside and flaky. I would definitely go with the cold cuts. Tagliolini ai Frutti di Mare- Solid pasta, seafood, tomato-based sauce dish. The seafood seemed a little on the small side but there was a decent amount of it. It's not a stunning dish but a solid choice. Gnocchi con Formaggio- Ew. Not particularly well made gnocchi then drowned in a cream sauce and topped with cheese. Yay... I managed to finish about a third when I gave up on the dish. Whatever the special was...it consisted of fish with a hefty side of spinach and potatoes. Best of all three main dishes. Perfectly cooked fish. Nice crisped potatoes, firm and soft on the inside. Yummy spinach. Simple, respectful treatment of good ingredients. Dessert- This saved the meal and almost boosted it up to four stars. One of the best examples of panna cotta I have ever had. Perfect texture, light and delicious taste and texture. :) I think what your experience is like depends on what you order...and whether you can deal with the atmosphere. I'm not claustrophobic and I don't have an anxiety disorder but the tight quarters, super low lighting (thank goodness it was still light outside over the curtains), and ridiculous level of shouting was making me a little anxious. Cash only.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.150653216; Sentiment_Subjectivity (from 0 to 1): 0.537641723 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visited Prosperity Dumpling for the first time on a Saturday morning when I didn't feel like cooking anything or eating cereal. It wasn't that early but the shop was pretty quiet. I got one order of fried dumplings ($2.25) and one order of boiled dumplings ($1). At those prices it's not like I have major complaints but I didn't really love the way the fried dumplings were fried. I would recommend getting the boiled dumplings instead though they were both good. I liked the slightly chewy wrapped of the boiled dumplings. You don't go to Prosperity Dumpling to have a spiritual experience. You go because you want a cheap snack and you don't feel like cooking. The dumplings are tasty but not incredibly flavorful. Oh, and I should note that there's a slightly longer wait (maybe 7 minutes or so) if you want boiled dumplings.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.159935897; Sentiment_Subjectivity (from 0 to 1): 0.502564103 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I wish this place had lived up to the hype for me. I really do. In theory, Cheeky Sandwiches is a craving-satisfying place. Fried chicken sandwiched between two halves of a Southern biscuit? But sadly, I found that they made the most basic of mistakes. For $6.50, I wasn't too disappointed with the portion size as what it loses in volume, it must certainly make up for in calories. I actually have no problem with the way everything was cooked. The biscuit was moist but still with some crunch and crumbliness. The chicken was moist and tender on the inside. And the cabbage gave a nice sour tang that cut through the richness of the other components. In that sense, it was nicely balanced. Also, I appreciated that it wasn't too messy to eat. What I didn't like was the actual taste. The biscuit was rather flavorless. The crust on the chicken was incredibly salty. The coating in addition to the sauce was too much. The salt became a dominant flavor. And then the way the crust was actually seasoned was all heat and no flavor. It just...it made me sad. I would go back but I wasn't wowed and I wouldn't go out of my way to return. For me, the best thing going for it is that they're in a convenient location for me and open at convenient times. I don't want to reduce it to fast food, but if all you have is convenience and lackluster flavor for relatively cheap...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.033545918; Sentiment_Subjectivity (from 0 to 1): 0.49005102 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really not impressed. This place came off like a really chaotic Whole Foods with far too many signs and little helpful information. It's not a pleasant place to browse and yet unless you've been here before it's impossible to figure out where to go. I'm not sure what's so appealing about sitting at plastic tables in plastic chairs (or worse, standing) to get food at good-restaurant prices. 30-40 minute wait to eat pizza? Also, I definitely recommend checking the labels on what you're buying because a lot of it comes from PA and NJ as far as I could tell. If you're going to get regular produce and protein you might as well go to a reasonably priced market. The one thing I did try here was the gelato. The price was OK. The gelato was pretty average. Nice and creamy. Natural pistachio gelato flavor. However, there was a bit of an aftertaste and something that stopped me from really enjoying it. The mixed berry sorbet tasted like a mixed berry popsicle from the grocery store. Tourist trap.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.053442029; Sentiment_Subjectivity (from 0 to 1): 0.614455593 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 visited Margon on an absolutely miserable day in the summer when it was hot and raining. They were close to shutting down though there were still people inside but they let me in, toasted a cuban sandwich for me, and sent me off with my late lunch for the day, something I was incredibly grateful for after having missed breakfast and lunch. I wish I could say more positive things but the sandwich was just very average. Cheese and a panini press can cover up a multitude of sins but they can't hide that I could make this sandwich at home. There was nothing all that "authentic Cuban" about it. And it was kind of overpriced. Maybe there strong points are other things since there seemed to be a lot of regulars but I'm really interested in running back anytime soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.134646465; Sentiment_Subjectivity (from 0 to 1): 0.604476912 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 not super impressed by this place but it wasn't a terrible experience. I'm only rating them three stars because overall, I just don't think it was worth it. Was the Spiced Pork sandwich good? Yes, there are tons of reviews that can tell you how good. Did the bread get soggy and did the sandwich start to fall apart before I had even walked a block? Yes. Was it regardless of the overload of wet to dry ingredients still difficult to eat because of the way the ingredients were packed in there? Also yes. Did I waste a lot of my lunch break in line? Yes. Is it kind of overpriced? Yes. Is the space small and does the system of calling out order numbers not work because they're beside a busy street, don't yell loudly, and because people crowd into the shop when they haven't/don't intend to order at the window? Yes, and yes it does not work. Did the taste blow me away? No. Do I think it's worth checking out? Yes. Will I go back? Occasionally. Which works out to *crunches numbers* ...three stars.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.079824561; Sentiment_Subjectivity (from 0 to 1): 0.504824561 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Now, to be fair, I'm not evaluating the dining experience at Kefi, I'm evaluating it as a takeout place. Why? Because when I called to make reservations they said they were super full until ridiculously late and to just come by and see what happened and then when we got there the wait time was worse than when we had initially called. So instead of a family dinner, we ordered the meal to go. Grilled Octopus- Meh. I've had octopus in Greece so I know even if it's called "charred" or "grilled" it doesn't always have this unpleasantly strange burnt taste. Thankfully, it was not overcooked to the point of inedibility like a lot of places, but it didn't taste fresh or tender and I feel like the cooking was meant to mask the quality of the ingredient. Lamb Burger- It was filling without being overwhelming, moist, and I liked the layering of flavors. Best burger I've ever had? No. Particularly gourmet or worth the price? Also no. But pretty darn good? Yes. Chips and Salad- This was actually my favorite part of the meal, take that how you will. The feta, tomato, and lettuce salad was nice and bright. The seasoning and good ingredients gave it the most flavor of all the dishes. The chips were alright. Not anything worth mentioning except for the fact that I appreciated that they weren't greasy. I'm still interested in going back to see if I got a skewed view of the place getting something to go instead of sitting for a meal but not having been wowed, I'm probably not going to be running back anytime soon.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.318; Sentiment_Subjectivity (from 0 to 1): 0.508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Stopped in for lunch takeout during work.  I asked the server what is better: Roasted Vegetable Sandwhich or Vegetable Souvlaki.  He replied boastfully with the Vegetarian Souvlaki.   Apparently he enjoys tzatziki sauce running out of his pita, down his hands and all of his face.  Unfortunately, I do not.  The taste didn't make up for the mess!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.085138889; Sentiment_Subjectivity (from 0 to 1): 0.462777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food but I'm sold just yet on this place and their waits.  We put our name in around 10:15am on a Sunday and weren't seated until after 11:30.  Luckily we anticipated the wait. I ordered the Southern Breakfast and really enjoyed the cheese grits, eggs and fried green tomatoes.  Wasn't a fan of the sugar cured bacon, didn't think it was necessary to make bacon even unhealthier or sweet.  I tried my cousin's pancakes and thought they were great.  Very fluffy and moist, and immediately thought I tasted lemon zest.  Would love to know their recipe!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.294833333; Sentiment_Subjectivity (from 0 to 1): 0.610333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 has never happened me before...... Went to brunch at 10am, no booze served yet, no wait and full for 10+ hours!! Ordered the goat cheese omlette thats simply TONS of egg whites, goat cheese, mushrooms and tomatoes.  Ate all the homefries and half the omlette and didn't eat again until after dark!  Oh and it was delicious! P.S. Don't let them tell you to get the "amazing" fruit plate to share for the table since they can't upgrade sides up to fruit.  It was small and not amazing.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.155338542; Sentiment_Subjectivity (from 0 to 1): 0.58422619 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Olea had me at fried olives with tzatziki and harissa!   I've always had excellent meals and service here for brunch and dinner.   For brunch, expect a wait and have a Bloody Mary. For dinner, hit up their oyster happy hour beforehand.  Then grab a table to keep the delicious fun going and enjoy the awesome live music.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.479545455; Sentiment_Subjectivity (from 0 to 1): 0.7625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WHAT YOU NEED TO KNOW: delicious, inexpensive, cash only and BYOB. I tasted and loved the farmer cheese pierogies, stuffed cabbage and chicken cutlet with mushrooms. The potato pancakes were good but too deep fried for my liking and the broth of the red borscht was too sweet for me. The place is small and only has about two employees working so relax, sit back and enjoy...don't rush it!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.172727273; Sentiment_Subjectivity (from 0 to 1): 0.618181818 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm really excited to go back and try more dishes!  It was pretty difficult deciding on what to order because everything sounded great. What to know: - Cash only - Vegetarian options - Healthy options - Delicious - Inexpensive - Large portions - Happiness; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.36038961; Sentiment_Subjectivity (from 0 to 1): 0.648051948 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Paulie Gee's was our first stop on our North Brooklyn Pizza Crawl.   Please note:  If you and your friends don't do pizza crawls around NYC then you are not really living life to the fullest. We had a reservation for 14 people at 6pm, opening time.  They seated and served us very efficiently for such a large party.  I really enjoyed the Harry Belafontina with the delicious meatballs and Arugula Shmoogula. Paulie was very friendly and was happy to talk pizza with our group.  His recommendations will help immensely for the Staten Island crawl. Excited to go back again and try each and every pizza!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.310565476; Sentiment_Subjectivity (from 0 to 1): 0.571825397 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 give this place one more shot but there were too many issues vs. awesomeness.  We went for a friend's birthday happy hour and most beers we tried to order they were out of.  It was also pretty crowded so they stopped letting people in and many of our friends had to wait in line on a very cold night.  The bouncer even told them the wait would be about an hour even though it was 10 minutes!?; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.296428571; Sentiment_Subjectivity (from 0 to 1): 0.714285714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 discovered my love of Jolie on Atlantic Avenue a few weeks before they closed :( They mentioned they were going to reopen as French - Mexican !?!? Who knew French - Mexican could be so delicious :) :) :) I will return when they have their full liquor license (beer & wine only right now).  I really could have used a spicy margarita with my merguez tacos. Overall its a great space with a very eclectic menu, everything we had was very tasty.  It was also nice to see our old waiter from Jolie. Cash & Amex only! My BF wanted to mention his Top Chef review "The black bean soup had a delicious lobster taste but was too pureed and too thin.  While the King Crab Tinga Chilaquiles was very good the salsa verde over empowered the crab, which unfortunately wasn't as strong of a presence as I wanted".  (something like that....); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.215412698; Sentiment_Subjectivity (from 0 to 1): 0.564412698 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Delicious.  Get there early for a seat, or better yet, order take-out and snag a table down the block in the corner park. Favorites:  Artichoke Chicken Salad, Feta Cheese Meze --; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.168888889; Sentiment_Subjectivity (from 0 to 1): 0.607777778 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 trying to wait until after my headrush died down before posting, but it has been an hour and I am still relaxed and in a great mood from the Lamb sandwich.  It was fantastic, got it to go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.348148148; Sentiment_Subjectivity (from 0 to 1): 0.646296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small place, but amazing bread sticks (to die for) and other food especially considering it is gluten free...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.125; Sentiment_Subjectivity (from 0 to 1): 0.695 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: mmm very tasty. Kind of cramped though.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is awesome. A lovely Park Slope institution. Brunch in the garden is great. Mmm margaritas!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.833333333; Sentiment_Subjectivity (from 0 to 1): 0.833333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 little Greek restaurant that serves authentic Greek dishes but don't go if you're looking for a gyro (the only type of Greek food I'd ever had). Its a very small, quaint restaurant (seats a total of 10 people). The food was very good (I had a veal and rice dish) but the portions were just a little small.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.088333333; Sentiment_Subjectivity (from 0 to 1): 0.516666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've never eaten in a "family style" restaurant where they bring platters of food out. I was with a group of about 30 people and the food kept coming and coming! Everything tasted wonderful, the service was quick and excellent. This was my favorite dining experience during my long weekend visit to New York!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.49229798; Sentiment_Subjectivity (from 0 to 1): 0.725757576 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: a whole in the wall, but get there outside regular lunch hours and it's all good Salads are nice portions and very tasty Mint lemonade is delicious very tasty lamb meatballs I guess if you go there more than 10 times, it's a good sign. nice staff too no 5 stars because it's quite impossible to go there with more than one person; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.348717949; Sentiment_Subjectivity (from 0 to 1): 0.563609467 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 7 courses menu: - sommelier parfait - service impeccable - salty courses disappointing - sweet courses excellent really pricey for the food quality clearly, the chef specialized in sweets For that price, I would go to the atelier of robuchon; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.613888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Always difficult to get a reservation at Pylos. It is a good sign of a good restaurant. I've been here couple of times, tried most of the menu and can safely say that meats are perfect and fishes are delicious. Appetizers are very tasty and wine list has good selection. Service is always professional, sometimes a bit slow. Because food is consistently good, this has to be 5 stars.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.441666667; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 stars chicken buns are way better than the pork buns akamaru and spicy akamaru consistent quality same as the one in Tokyo; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.0375; Sentiment_Subjectivity (from 0 to 1): 0.45625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Thanks for bringing good french cuisine to New York City. Tournedos rossini is excellent (filet with foie gras) profiteroles are evil good Didier is very friendly and opened another restaurant "Taureau" of fondue. he cares about his customers and especially about reviews on Yelp. Therefore, if you are not happy about something: say it here, he will read... small restaurant BYOB smell butter (air is needed) slightly expensive but you pay the know-how of french cook.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.082604895; Sentiment_Subjectivity (from 0 to 1): 0.584965035 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 Korean lunch, at BCD Tofu House. excellent food, very clean, very nice space. waitress helped us through our meal. a lot of vegetarian options: dumplings, soup. but also, delicious BBQ beef ribs with the tofu beef spicy soup. break the egg in the soup: genius. reminds me almost of shakshuka. loved the tea rice broth to finish on a lighter flavor. Service is fast and you will not leave hungry; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.622380952; Sentiment_Subjectivity (from 0 to 1): 0.801428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Southern Italian food, home style: home made everything (pasta, mozza, tomatoes sauce...). Really tasty. owner is always here and nice. half of meals are constant, other half are specials: always changing! Place is small, don't come in a group and reserve if you can, even for 2. Not really diet friendly, therefore I will recommend it for lunch; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.029545455; Sentiment_Subjectivity (from 0 to 1): 0.303787879 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really good ! Too bad the line is long... but it worth waiting  half an hour (not more); Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.001388889; Sentiment_Subjectivity (from 0 to 1): 0.405555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Is that possible to pay West Village rent with $8 Pad Thai ? Good food, good portion, nice atmosphere for this W Village thai, with no elaborate menu but doing good what they serve.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.408333333; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went there with a Gilt City deal. Without the deal, it would have cost us close to $100, which would have been outrageous. Drinks are well mixed and tasty but small. how small can a portion of guacamole be? (freshly made chips was great but not enough guac to eat them) Besides the small portions, food is very tasty , main courses (scallops and fish) were very good but once again, you will leave hungry or have spend way too much on Mexican food. Oh and the service is mediocre at best If you are looking for fancy mexican food, this is not the place, but they price it likewise.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.075111111; Sentiment_Subjectivity (from 0 to 1): 0.460888889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food, simply done. Lots of wait though, so be patient. West Village gem, crowded, but tasty. Fish Tartare and grilled fish and oysters miam miam; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.553571429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good New American cuisine, mixing quality ingredients and french, italian, mexican cuisines. We got - filet mignon, tasty and cooked blue upon request - chef's salad : excellent and large portion - ice tea with no sugar added (homemade) Good service, although I still don't like when they ask you repeatedly if I'm done with my plate when other people at the table are eating. Apparently they deliver everywhere, which is good, but this is the kind of food, not too hard to make at home.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.245598846; Sentiment_Subjectivity (from 0 to 1): 0.396652237 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 had Malaysian cuisine before and it's pretty amazing. Sort of mix of fine Chinese with Indian food. Product quality is great. Menu offers lots of choice. Sea bass is incredible. Go for it !; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.377083333; Sentiment_Subjectivity (from 0 to 1): 0.56875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 choices of tapas. I've been there 4 times ! Service is ultra-fast ! Some of them are a bit disappointing but most of them are excellent. The restaurant is gorgeous: perfect place to bring a date ! It's a bit cold inside so bring something; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.428571429; Sentiment_Subjectivity (from 0 to 1): 0.835714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 thai experience, much better food than Room Service and the fake thais of hells kitchen with their "brown sauce" and their fish swimming in it. Whole seabass was amazing when they say spicy, it is spicy (love it !) A must go easy access with 7 train and easy parking with zipcar; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.386458333; Sentiment_Subjectivity (from 0 to 1): 0.727083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Meat is top quality: cote de boeuf and black label burger. Sides are expensive and average quality. I still give 5 stars, because the quality of the beef is superior to most steakhouses (including all times faves PL, Wolfgang...) Definitely expensive but impeccable service and great cocktails. Manhattan style; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.214814815; Sentiment_Subjectivity (from 0 to 1): 0.625925926 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Tuna as appetizers was perfect Akamaru: one of the best ramen I ever had Tofu dessert surprisingly tasty (like italian panacotta) Very long wait, even during the week.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.527; Sentiment_Subjectivity (from 0 to 1): 0.464 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small place big on taste. Stopped in with my wife after shopping. Absolutely delicious. very friendly waitress too; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.309375; Sentiment_Subjectivity (from 0 to 1): 0.5375 [/INST] Not Spam</s>

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

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 definitely one of my new favorites. Ate here a couple of weeks ago and the food was excellent -- I had meatballs and the fisherman's stew. Saw A LOT of things I want to try next time too. The room was probably my favorite part -- big windows, cool booths, beautiful bar, etc. Someone here paid attention to the smaller details too, which makes all the difference. Really fun, happy, low-key dinner experience. Highly recommend.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.341363636; Sentiment_Subjectivity (from 0 to 1): 0.578712121 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 nice but the menu is very limited. Food is very good, as is the service. Space is really small, so make sure to get a reservation.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.333428571; Sentiment_Subjectivity (from 0 to 1): 0.650920635 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 fantastic, although with six of us at the table it was challenging at times to cook everything. We ordered the BBQ for six and the quality and quantity were wonderful (if not a bit much!). Service was a little slow but the staff were super friendly and attentive when they could get to us. Would definitely recommend this place again, great selection and drinks were awesome.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.380902778; Sentiment_Subjectivity (from 0 to 1): 0.693055556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food was fantastic and they actually list where the food comes from, so it's truly farm to table. If you get a chance to go, the must-haves are the meatloaf and the sweet potato, kale scalloped potato side. Yes, I said meatloaf!! I've never been a big fan and would've eaten another helping if possible. The drinks were great, as well as the service although be prepared for it to lag a bit we were fine with that. That said the staff were very friendly and helpful. The seating is tight, so be prepared to get cozy with your neighbors! The only thing we didn't really get excited about was the scallops, a little bland yet dominated by rosemary.  I would highly recommend this cozy spot, can't say enough about the aforementioned meatloaf and sweet potato side. Enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.154919218; Sentiment_Subjectivity (from 0 to 1): 0.567097506 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is fantastic!! Between the food and the service, the only negative comment is the wait...but it's worth it, there just aren't that many great places by Penn. I have eaten here twice and never been disappointed. Last night we had the scallops and the beef short rib special, topping it off with the chocolate chip cookie skillet. As always, feel free to drool because you will. Enjoy!! :-); Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.235164835; Sentiment_Subjectivity (from 0 to 1): 0.587545788 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 lunch spot! Quiet and elegant, really beautiful setting and friendly, attentive staff. Food was great, we had the prawns and a chicken salad. The latter was just ok but the prawns were wonderful. They have a prix fix menu as well but they do have a lot of "upcharges" so I'm not really sure there's much of a benefit to the set menu. My sister and I had a lovely time, great find in a busy area.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.3859375; Sentiment_Subjectivity (from 0 to 1): 0.660763889 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 would love to come here more often. But its a small place and there is always a long wait. We like everything we've tried and will definitely come back again.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.116666667; Sentiment_Subjectivity (from 0 to 1): 0.4 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: 5 stars for food. 3 stars for somewhat cold service. But I can overlook the service when food is this good. Came here with hubby for brunch. Ordered the french toast and merguez sandwich. Best french toast ever...Soft, pillowy, creamy... no words can describe what a treat it was.  Sandwich was very tasty too. Will definitely come back again.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.3375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A good alternative to Ippudo ramen if you are not interested in waiting 2 hours standing in line. But still a good 30 min wait on average here.... I think Ippudo is better for its creativity. But this place is a solid second.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.232142857; Sentiment_Subjectivity (from 0 to 1): 0.385714286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Husband and I were venturing out to Williamsburg and decided to try this place. The decor, the food, the atmosphere took us back to an area in Tokyo called Nakameguro where we used to live close to.  Exceptional udon. Tempura was light, crispy and not greasy. In my opinion, one of the best Japanese restaurants for casual dining in nyc.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.243290043; Sentiment_Subjectivity (from 0 to 1): 0.480952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A meal here is a culinary adventure. Everything tastes excellent. Every dish is inventive and comes with flavors that surprise your senses. How they manage to make such great food in a tiny kitchen amazes me.   The rude little pig and the bacon donut were both memorable. We will be back.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.23125; Sentiment_Subjectivity (from 0 to 1): 0.585 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 moment you walk in you wouldnt even think that you are in willamsburg. The atmosphere is more french than anywhere I have been in Paris.  We got there for dinner one early evening, before the crowd came, so we got all the attention of the server. Unpretentious service. And all his recommendations were spot on. Unforgettable. The Pissaladiere went so well with the house chardonnay I still think about it from time to time.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.35; Sentiment_Subjectivity (from 0 to 1): 0.45 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Butcher steak was very good.  Mashed potatoes are extraordinary. Best part is the price. I was a bit disappointed with my grilled mackeral. Too many small bones and a bit on the dry side. Would definitely come here over and over again.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.209583333; Sentiment_Subjectivity (from 0 to 1): 0.60375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 boy, I didn't know kale can be this tasty until I tried their kale salad. Now I have just become a fan of this vegetable. Came here for brunch, we ordered the butter biscuits (good stuff), and corned beef hash. It was more like cubes beef brisket with just the right amount of fat. A bit heavy for my taste but otherwise as good as it gets. We came here during busy brunch time and we had to wait 25 min to get.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.347619048; Sentiment_Subjectivity (from 0 to 1): 0.505952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 swore I would never wait an hour standing in the line for ramen. It defies the logic of having ramen, which is supposed to be fast food.  So we were walking around the area on a saturday evening and it was 15 min to opening time and we figured we might as well give it a try. We got in promptly 15 min later.  And I must say the ramen was very good. The broth was rich and flavorful. It is definitely not the typical ramen that one would get in Japan. There were special touches to the recipes and one gotta go to a specialty ramen shop even in Japan to have this type of flavors.   So was it worth a 15 min wait? Definitely. But anything over 30 minutes I would give it a pass, because, at the end of the day its just ramen.; Max_Daily_Reviews: 6; Sentiment_Polarity (from -1 to 1): 0.219497354; Sentiment_Subjectivity (from 0 to 1): 0.477936508 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Snack is an adorable little restaurant. It is quite small, so you'll have to be comfortable being very close to your neighbor. We went for dinner. The menu is heavy Mediterranean.  There weren't any sandwiches on the dinner menu. The service was good. There is a very small greek wine list and beer menu. I am not a huge fan of either. The food was good. They have great thick pita. The humous was spicy, which I wasn't expecting, but loved. We also had the spanakopita, also pretty good. We shared the chicken dish, which came with delicious green beans. The potatoes were a little bland. For desert we had the baklava. Very good. A little different than I've had I think there were cloves in it.   Overall, we enjoyed the meal.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.175224359; Sentiment_Subjectivity (from 0 to 1): 0.611858974 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Living near by, I come here all the time. The food is great, the staff are friendly and the atmosphere is very relaxed. Absolutely recommend it-- great for a date.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4125; Sentiment_Subjectivity (from 0 to 1): 0.6 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was good. Drinks were ok, nothing special. Very pretentious vibe from all the staff, particularly our waiter. Probably won't go back.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.222301587; Sentiment_Subjectivity (from 0 to 1): 0.485793651 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 and I stumbled in here purely by accident- but it was a happy accident! We were just looking for some lite bites and what a perfect find! We both had the classic Avgolemono soup, and although it was a bit on the salty side, it was fantastic. We also split the Roasted 1.0 sandwich, which was also very fresh and very good, and a generous size. It's such a cute, cozy atmosphere with a bit of 50's diner edge to it. Our waiter was great- so cute/friendly. I really enjoyed it here! I think I'll go out of my way to go back there again.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.446611722; Sentiment_Subjectivity (from 0 to 1): 0.668974359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Like another reviewer said, just go for the Baby Jesus Cake. Seriously. On a side note, I took my parents here for xmas dinner- we chose not to do their prefix (which seemed like a decent deal for xmas eve at $95/person for something like a full 4 course meal with unlimited wine pairings) so we ordered à la carte. My dad ordered something of a blue cheese casserole, which was was wonderful- perfectly mild and rich, which I found surprising because I hate blue cheese for its overpowering flavor. Not so much here. I would actually consider ordering it. My mom and I had their 3 meat ragu Lasagna, which was perfectly Italian. Very rich, but not over the top, with not too much cheese or too much meat. A perfect balance. We had the wine on tap. House chardonnay from L.I. I believe. Interesting concept...the wine wasn't great but it wasn't awful and it came at a fair price. Ambiance is also really nice- semi-cozy but also open..the place is small but it doesn't come off as too crowded.   And then...the Baby Jesus cake. An amazing end to our night. Even if dinner had been bad, that would have saved everything.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.21650641; Sentiment_Subjectivity (from 0 to 1): 0.577884615 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: God I f'in love this place. Good beer. Love their $5 fried pickles with spicy cheese sauce. Fries are like boardwalk fries, but better. Grilled cheese will make you go to bed happy. The Portabello burger is mind boggling-ly awesome. The regular burger is awesome. Incredibly difficult to get a seat, so you should probably stand around, drink alot of beer, and wait to find a spot to sit. And then you should eat. And then you will be exceedingly joyous.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.5; Sentiment_Subjectivity (from 0 to 1): 0.708547009 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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. Everyone in our party loved it! Went here for Thanksgiving dinner, but opted for the regular dinner menu instead, which I think was a wise choice. The service was professional and friendly, and everything we had was so full of flavor! I can't say enough about the execution of the food, from the starters to the dessert. The house-made Cavatelli with the hot sausage was a particular hit. Also really liked the options for the wine- full bottle, half carafe, or glass. The beer selection, although small, is also quality. Will definitely be returning to try lots more!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25390625; Sentiment_Subjectivity (from 0 to 1): 0.476682692 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 so small, they have 5 tables inside and it's pretty cramped. We ordered: - Greek Iced Coffee: So good! Coffee lovers, you have to try this. - Some lemon soup? Very citrusy, but I love lemon, so I thought this was very refreshing. - Lamb Sandwich: Loved it, my friends ordered the Tuna Sandwich and the Chicken Sandwich, but I liked mine the most. The lamb was cooked and flavored well. Good place for a meal if you enjoy eating Mediterranean food.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.348076923; Sentiment_Subjectivity (from 0 to 1): 0.619230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 much for a diet, I felt like I gained a few pounds after eating a slice of the pizza here. But, I will say it was worth it. Get their artichoke pizza, it won't disappoint. It's extremely rich and hearty, but at least you'll grow a layer of fat after eating this to keep you warm.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.1625; Sentiment_Subjectivity (from 0 to 1): 0.358333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_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 BOMB, enough said. Best cuban sandwich I've ever had. They are known for their corn, which comes roasted and coated with a layer of parmesan, mayo, and spices. If you come here you HAVE to get this. This spot is extremely small, but luckily a few patrons were just leaving as we stepped in. Plan to just grab the food to-go.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.1375; Sentiment_Subjectivity (from 0 to 1): 0.325 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Such a cute place! Came here to unwind with some wine and cheese after a long day of shopping on 5th Ave. Get the cheese and meet plate and I promise you you won't be disappointed. It comes with 3 different types of cheese and salami, proscuitto, and some other kind of thinly sliced meat. The only thing I didn't like about this place was the noise level. It was rather hard to carry on a conversation without asking the other person to repeat what they just said, and with the place being small and overly packed, patrons were constantly walking by and bumping into our chairs. Aside from that, this is a great spot to come hang out for a bit.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.002380952; Sentiment_Subjectivity (from 0 to 1): 0.626785714 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Before my trip, all of my friends recommended trying this infamous halal cart. Honestly, I didn't think some chicken/lamb over rice dish could be THAT amazing, but boy was I wrong. The meat was cooked to perfection, I liked the lamb a lot more than the chicken, though both were really good. As our friends suggested, we drowned our food with their white sauce. We forgot to use the red spicy sauce unfortunately, next time I will keep that in mind. And best of all, $6 for a huge platter and very generous amounts of meat, what more can you ask for?! This is a MUST TRY if you come to new York!!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.219886364; Sentiment_Subjectivity (from 0 to 1): 0.535561497 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good food, mediocre service. I came here for brunch and was pleasantly surprised by their smoked salmon omelette. It was pretty much like a lox bagel, but in omelette form. Eggs and smoked salmon covered in cream cheese? I'm a fan! Be sure to grab a glass of their freshly squeezed orange juice to kick off your morning.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.228571429; Sentiment_Subjectivity (from 0 to 1): 0.726984127 [/INST] Not Spam</s>